2016-04-21 19:39:32 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 19:39:32 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 19:39:32 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 19:39:32 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 19:39:32 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 19:39:32 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:39:32 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 19:39:32 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@33867b23 2016-04-21 19:39:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:39:32 INFO ASLSession:352 - Logging the entrance 2016-04-21 19:39:32 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 19:39:32 DEBUG TemplateModel:83 - 2016-04-21 19:39:32, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 19:39:32 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:39:33 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 19:39:33 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 122 ms 2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 19:39:33 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 19:39:33 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 19:39:33 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:39:33 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 19:39:34 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 19:39:34 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 19:39:34 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:39:34 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 19:39:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:39:34 INFO ASLSession:352 - Logging the entrance 2016-04-21 19:39:34 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 19:39:34 DEBUG TemplateModel:83 - 2016-04-21 19:39:34, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 19:39:34 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:39:34 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 19:39:34 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@1b0a2102 2016-04-21 19:39:34 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@ad14ab8 2016-04-21 19:39:34 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@7daf1bf1 2016-04-21 19:39:34 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@50ecbca3 2016-04-21 19:39:34 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 286 ms 2016-04-21 19:39:34 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 19:39:34 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 19:39:34 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 19:39:34 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 19:39:34 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 19:39:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:39:34 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:39:34 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 19:39:34 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 21 ms 2016-04-21 19:39:34 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 19:39:34 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:39:34 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 19:39:34 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 19:39:34 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:39:34 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 19:39:34 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 19:39:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:39:34 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:39:34 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:39:34 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 19:39:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:39:34 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:39:34 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 19:39:34 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 19:39:34 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 19:39:34 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 19:39:34 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 19:39:34 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 19:39:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29 2016-04-21 19:39:34 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:39:34 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 19:39:34 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 20 ms 2016-04-21 19:39:35 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 19:39:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:39:35 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:39:35 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:39:35 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 19:39:35 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:39:35 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 19:39:35 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 19:39:35 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:39:35 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 19:39:35 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 19:39:35 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 19:39:35 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 19:39:35 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 19:39:35 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 19:39:35 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 19:39:35 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:39:35 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:39:35 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:39:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:39:35 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 19:39:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 19:39:35 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:39:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:39:36 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:39:36 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:39:36 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:39:36 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:39:36 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:39:36 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:39:36 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 19:39:36 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 19:39:36 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:39:36 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:39:36 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:39:36 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:39:36 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:39:36 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:39:36 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:39:36 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:39:36 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 19:39:36 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 19:39:36 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:39:36 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:39:36 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:39:36 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:39:36 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:39:36 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:39:36 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:39:36 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:39:36 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 19:39:36 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 19:39:36 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:39:36 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:39:37 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 19:39:37 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 19:39:37 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:39:37 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:39:37 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:39:37 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:39:37 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:39:37 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:39:37 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:39:37 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:39:37 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 19:39:37 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:39:37 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:39:37 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:39:37 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:39:37 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:39:37 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:39:37 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:39:37 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:39:37 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:39:37 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 19:39:37 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:39:37 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:39:37 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 19:39:37 INFO WorkspaceExplorerServiceImpl:188 - end time - 180 msc 0 sec 2016-04-21 19:39:37 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:39:37 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:39:37 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 19:39:37 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 30 ms 2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 19:39:37 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:39:37 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 19:39:37 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms 2016-04-21 19:39:37 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 19:39:37 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 19:39:37 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 19:39:37 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 19:39:37 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 19:39:37 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:39:37 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 19:39:37 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms 2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 19:39:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:39:37 INFO WorkspaceExplorerServiceImpl:188 - end time - 282 msc 0 sec 2016-04-21 19:39:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:39:48 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:39:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:39:48 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 19:39:48 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:39:48 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:39:48 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:39:48 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:39:48 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:39:48 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:39:48 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:39:48 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 19:39:48 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 19:39:48 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:39:48 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:39:48 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:39:48 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:39:48 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:39:48 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:39:48 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:39:48 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:39:48 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:39:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:39:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:39:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:39:48 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:39:48 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:39:48 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:39:48 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:39:48 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:39:48 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:39:48 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:39:48 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:39:48 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:39:48 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:39:48 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:39:48 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:39:48 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:39:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:39:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:39:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:39:48 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:39:48 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:39:48 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:39:48 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:39:48 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:39:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:39:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:39:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:39:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:39:48 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 19:39:48 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:39:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:39:48 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:39:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 19:39:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 19:39:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:39:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:39:48 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:39:48 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:39:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:39:48 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 19:39:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 19:39:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:39:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:39:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 19:39:48 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:39:49 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:39:49 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:39:49 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:39:49 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:39:49 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:39:49 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:39:49 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:39:49 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:39:49 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:39:49 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:39:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:39:49 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:39:49 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:39:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:39:49 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:39:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:39:49 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:39:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:39:49 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:39:49 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:39:49 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:39:49 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:39:49 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:39:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:39:49 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:39:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:39:49 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:39:49 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:39:49 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:39:49 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:39:49 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:39:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:39:49 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:39:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:39:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:39:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:39:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:39:49 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:39:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:39:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:39:49 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:39:49 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:39:49 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:39:49 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:39:49 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:39:49 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:39:49 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:39:49 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:39:49 INFO WorkspaceExplorerServiceImpl:142 - end time - 267 msc 0 sec 2016-04-21 19:39:49 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:39:57 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-21 19:39:57 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-21 19:39:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:39:57 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:39:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:39:57 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:39:57 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:39:57 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:39:57 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:39:57 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:39:57 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:39:57 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-21 19:39:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:39:57 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:39:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:39:57 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:39:57 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:39:57 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:39:57 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:39:57 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:39:57 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:39:58 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-21 19:39:58 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-21 19:39:58 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi 2016-04-21 19:39:58 DEBUG ServiceEngine:306 - get() - start 2016-04-21 19:39:58 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-21 19:39:58 DEBUG BucketCoding:42 - coding name done 2016-04-21 19:39:58 DEBUG ServiceEngine:62 - path(String) - name: StatisticalTest 2016-04-21 19:39:58 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/ 2016-04-21 19:39:58 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-21 19:39:58 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null 2016-04-21 19:39:58 INFO OperationFactory:39 - getOperation(String) - start getFolderSize 2016-04-21 19:39:58 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-21 19:39:58 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/ 2016-04-21 19:39:58 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-21 19:39:58 DEBUG BucketCoding:42 - coding name done 2016-04-21 19:39:58 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-21 19:39:58 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-21 19:39:58 DEBUG MongoIO:77 - open mongo connection 2016-04-21 19:39:58 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-21 19:39:58 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:39:58 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:39:58 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:39:58 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@bca93a16, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5ae38c58, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@11131406, socketFactory=javax.net.DefaultSocketFactory@7b879eab, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-21 19:39:58 INFO MongoIO:106 - new mongo connection pool opened 2016-04-21 19:39:58 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-21 19:39:58 INFO connection:71 - Opened connection [connectionId{localValue:1, serverValue:39410}] to mongo2-d-d4s.d4science.org:27017 2016-04-21 19:39:58 INFO connection:71 - Opened connection [connectionId{localValue:2, serverValue:1631769}] to mongo3-d-d4s.d4science.org:27017 2016-04-21 19:39:58 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-21 19:39:58 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-21 19:39:58 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1610178, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:39:58 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1957241, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:39:58 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-21 19:39:58 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:39:58 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:39:58 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-21 19:39:58 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=2.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:39:58 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=2.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:39:58 INFO connection:71 - Opened connection [connectionId{localValue:4, serverValue:1937059}] to mongo1-d-d4s.d4science.org:27017 2016-04-21 19:39:58 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-21 19:39:58 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1327317, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:39:58 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=2.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:39:58 INFO connection:71 - Opened connection [connectionId{localValue:3, serverValue:1350478}] to mongo4-d-d4s.d4science.org:27017 2016-04-21 19:39:58 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-21 19:39:58 INFO connection:71 - Opened connection [connectionId{localValue:5, serverValue:1631770}] to mongo3-d-d4s.d4science.org:27017 2016-04-21 19:39:58 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=3931277, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:39:58 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=2.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=3.9 ms, state=CONNECTED}] 2016-04-21 19:39:58 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1631770}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:39:58 DEBUG command:56 - Command execution completed 2016-04-21 19:39:58 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1631770}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:39:58 DEBUG command:56 - Command execution completed 2016-04-21 19:39:58 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1631770}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:39:58 DEBUG command:56 - Command execution completed 2016-04-21 19:39:58 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest 2016-04-21 19:39:58 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1631770}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:39:58 DEBUG command:56 - Command execution completed 2016-04-21 19:39:58 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1631770}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:39:58 DEBUG command:56 - Command execution completed 2016-04-21 19:39:58 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:5, serverValue:1631770}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:39:59 DEBUG query:56 - Query completed 2016-04-21 19:39:59 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 7 objects 2016-04-21 19:39:59 DEBUG connection:56 - Closing connection connectionId{localValue:4, serverValue:1937059} 2016-04-21 19:39:59 INFO connection:71 - Closed connection [connectionId{localValue:5, serverValue:1631770}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-21 19:39:59 DEBUG connection:56 - Closing connection connectionId{localValue:3, serverValue:1350478} 2016-04-21 19:39:59 DEBUG connection:56 - Closing connection connectionId{localValue:1, serverValue:39410} 2016-04-21 19:39:59 DEBUG connection:56 - Closing connection connectionId{localValue:5, serverValue:1631770} 2016-04-21 19:39:59 DEBUG connection:56 - Closing connection connectionId{localValue:2, serverValue:1631769} 2016-04-21 19:39:59 INFO MongoIO:508 - Mongo has been closed 2016-04-21 19:39:59 INFO DefaultMongoClient:1329 - getFolderTotalVolume 130827 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest 2016-04-21 19:39:59 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest 2016-04-21 19:39:59 INFO WorkspaceExplorerServiceImpl:503 - returning size: 130827 2016-04-21 19:39:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:39:59 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:39:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:39:59 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:39:59 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:39:59 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:39:59 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:39:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:39:59 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:39:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:39:59 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:39:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:39:59 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:39:59 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:39:59 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:39:59 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:39:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:39:59 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:39:59 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-21 19:39:59 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-21 19:39:59 INFO JCRServlets:697 - Calling Servlet get Parents By Id 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi 2016-04-21 19:39:59 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi 2016-04-21 19:39:59 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 19:39:59 INFO WorkspaceExplorerServiceImpl:188 - end time - 43 msc 0 sec 2016-04-21 19:39:59 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null] 2016-04-21 19:39:59 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null] 2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:40:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:40:01 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:40:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:40:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:40:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-21 19:40:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:40:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:40:01 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:40:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:40:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:40:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:40:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-21 19:40:01 INFO JCRServlets:142 - Calling servlet getChildrenById 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi 2016-04-21 19:40:01 DEBUG ServiceEngine:306 - get() - start 2016-04-21 19:40:01 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-21 19:40:01 DEBUG BucketCoding:42 - coding name done 2016-04-21 19:40:01 DEBUG ServiceEngine:62 - path(String) - name: DBScan 2016-04-21 19:40:01 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/ 2016-04-21 19:40:01 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-21 19:40:01 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null 2016-04-21 19:40:01 INFO OperationFactory:39 - getOperation(String) - start getFolderSize 2016-04-21 19:40:01 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-21 19:40:01 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ 2016-04-21 19:40:01 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-21 19:40:01 DEBUG BucketCoding:42 - coding name done 2016-04-21 19:40:01 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-21 19:40:01 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-21 19:40:01 DEBUG MongoIO:77 - open mongo connection 2016-04-21 19:40:01 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-21 19:40:01 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:40:01 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:40:01 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:40:01 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@bca93a16, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5ae38c58, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@11131406, socketFactory=javax.net.DefaultSocketFactory@7b879eab, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-21 19:40:01 INFO MongoIO:106 - new mongo connection pool opened 2016-04-21 19:40:01 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-21 19:40:01 INFO connection:71 - Opened connection [connectionId{localValue:7, serverValue:1631771}] to mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:01 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1629753, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:40:01 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-21 19:40:01 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:40:01 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:40:01 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:40:01 INFO connection:71 - Opened connection [connectionId{localValue:6, serverValue:39411}] to mongo2-d-d4s.d4science.org:27017 2016-04-21 19:40:01 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-21 19:40:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1351809, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:40:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:40:01 INFO connection:71 - Opened connection [connectionId{localValue:9, serverValue:1937061}] to mongo1-d-d4s.d4science.org:27017 2016-04-21 19:40:01 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-21 19:40:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1124728, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:40:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:40:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:40:01 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:40:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:40:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:40:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:40:01 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:40:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:40:01 INFO connection:71 - Opened connection [connectionId{localValue:8, serverValue:1350479}] to mongo4-d-d4s.d4science.org:27017 2016-04-21 19:40:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:40:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:40:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:40:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:40:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:40:01 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-21 19:40:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1445517, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:40:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}] 2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-21 19:40:01 INFO JCRServlets:697 - Calling Servlet get Parents By Id 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi 2016-04-21 19:40:01 INFO JCRServlets:142 - Calling servlet getChildrenById 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi 2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:188 - end time - 43 msc 0 sec 2016-04-21 19:40:01 INFO connection:71 - Opened connection [connectionId{localValue:10, serverValue:1631772}] to mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1631772}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:01 DEBUG command:56 - Command execution completed 2016-04-21 19:40:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1631772}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:01 DEBUG command:56 - Command execution completed 2016-04-21 19:40:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1631772}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:01 DEBUG command:56 - Command execution completed 2016-04-21 19:40:01 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan 2016-04-21 19:40:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1631772}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:01 DEBUG command:56 - Command execution completed 2016-04-21 19:40:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1631772}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:01 DEBUG command:56 - Command execution completed 2016-04-21 19:40:01 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:10, serverValue:1631772}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-21 19:40:01 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=7ba62008-739a-4787-ae33-7938ad109a54, name=DBScan, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null] 2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 19:40:01 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null] 2016-04-21 19:40:01 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null] 2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:40:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:40:01 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:40:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:40:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:40:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:40:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:518 - get MimeType By ItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:40:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:40:01 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:40:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:40:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:40:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:40:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:40:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:40:01 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:40:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:40:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:40:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:40:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-21 19:40:01 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-21 19:40:01 INFO WorkspaceExplorerServiceImpl:503 - returning size: 849 2016-04-21 19:40:02 DEBUG query:56 - Query completed 2016-04-21 19:40:02 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 1 objects 2016-04-21 19:40:02 DEBUG connection:56 - Closing connection connectionId{localValue:9, serverValue:1937061} 2016-04-21 19:40:02 DEBUG connection:56 - Closing connection connectionId{localValue:6, serverValue:39411} 2016-04-21 19:40:02 DEBUG connection:56 - Closing connection connectionId{localValue:8, serverValue:1350479} 2016-04-21 19:40:02 INFO connection:71 - Closed connection [connectionId{localValue:10, serverValue:1631772}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-21 19:40:02 DEBUG connection:56 - Closing connection connectionId{localValue:10, serverValue:1631772} 2016-04-21 19:40:02 INFO MongoIO:508 - Mongo has been closed 2016-04-21 19:40:02 INFO DefaultMongoClient:1329 - getFolderTotalVolume 849 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan 2016-04-21 19:40:02 DEBUG connection:56 - Closing connection connectionId{localValue:7, serverValue:1631771} 2016-04-21 19:40:02 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan 2016-04-21 19:40:02 INFO WorkspaceExplorerServiceImpl:503 - returning size: 849 2016-04-21 19:40:02 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:40:02 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:40:02 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:40:02 DEBUG DataMinerManagerServiceImpl:418 - retrieveTableInformation(): Item [id=13d0382e-8833-4df7-b4dc-61bbba61b3e5, name=hcaf_filtered.csv, type=EXTERNAL_FILE, path=/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv, children=[], owner=giancarlo.panichi, isFolder=false, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=Wed Mar 09 17:10:22 CET 2016] 2016-04-21 19:40:02 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:40:02 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:40:02 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:40:02 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:40:02 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:40:02 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:40:02 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-21 19:40:02 DEBUG ServiceEngine:193 - get() - start 2016-04-21 19:40:02 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-21 19:40:02 DEBUG BucketCoding:42 - coding name done 2016-04-21 19:40:02 DEBUG ServiceEngine:62 - path(String) - name: hcaf_filtered.csv 2016-04-21 19:40:02 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ 2016-04-21 19:40:02 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-21 19:40:02 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null 2016-04-21 19:40:02 INFO OperationFactory:39 - getOperation(String) - start download 2016-04-21 19:40:02 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-21 19:40:02 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-21 19:40:02 DEBUG BucketCoding:42 - coding name done 2016-04-21 19:40:02 DEBUG Download:57 - DOWNLOAD /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv in bucket: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-21 19:40:02 DEBUG Operation:173 - get(String) - start 2016-04-21 19:40:02 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-21 19:40:02 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-21 19:40:02 DEBUG MongoIO:77 - open mongo connection 2016-04-21 19:40:02 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-21 19:40:02 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:40:02 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:40:02 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:40:02 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@bca93a16, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5ae38c58, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@11131406, socketFactory=javax.net.DefaultSocketFactory@7b879eab, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-21 19:40:02 INFO MongoIO:106 - new mongo connection pool opened 2016-04-21 19:40:02 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:11, serverValue:39412}] to mongo2-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1474447, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:40:03 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-21 19:40:03 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:40:03 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:14, serverValue:1937062}] to mongo1-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=908449, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:12, serverValue:1631773}] to mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1439812, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:40:03 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:13, serverValue:1350480}] to mongo4-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1143736, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.1 ms, state=CONNECTED}] 2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:15, serverValue:1631774}] to mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG command:56 - Command execution completed 2016-04-21 19:40:03 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG command:56 - Command execution completed 2016-04-21 19:40:03 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG command:56 - Command execution completed 2016-04-21 19:40:03 INFO DefaultMongoClient:96 - MongoClient get method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM] 2016-04-21 19:40:03 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG command:56 - Command execution completed 2016-04-21 19:40:03 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG command:56 - Command execution completed 2016-04-21 19:40:03 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-21 19:40:03 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG command:56 - Command execution completed 2016-04-21 19:40:03 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG command:56 - Command execution completed 2016-04-21 19:40:03 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-21 19:40:03 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG query:56 - Query completed 2016-04-21 19:40:03 INFO MongoIO:186 - object found hcaf_filtered.csv 2016-04-21 19:40:03 INFO DefaultMongoClient:1047 - MongoClient download method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM] 2016-04-21 19:40:03 INFO DefaultMongoClient:1491 - set last operation: DOWNLOAD 2016-04-21 19:40:03 DEBUG update:56 - Updating documents in namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG update:56 - Update completed 2016-04-21 19:40:03 DEBUG query:56 - Sending query of namespace remotefs.fs.chunks on connection [connectionId{localValue:15, serverValue:1631774}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG query:56 - Query completed 2016-04-21 19:40:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:40:03 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:40:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:40:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:40:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:40:03 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:40:03 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-21 19:40:03 INFO JCRWorkspaceItem:998 - get PublicLink for item: hcaf_filtered.csv 2016-04-21 19:40:03 INFO ServiceEngine:34 - file gCube parameter costructor: shared /gcube 2016-04-21 19:40:03 INFO ServiceEngine:44 - file gCube parameter before: shared /gcube 2016-04-21 19:40:03 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-21 19:40:03 DEBUG BucketCoding:42 - coding name done 2016-04-21 19:40:03 DEBUG ServiceEngine:62 - path(String) - name: hcaf_filtered.csv 2016-04-21 19:40:03 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ 2016-04-21 19:40:03 INFO ServiceEngine:52 - file gCube parameter after: shared /gcube 2016-04-21 19:40:03 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-21 19:40:03 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= shared file..getGcubeAccessType() shared 2016-04-21 19:40:03 INFO OperationFactory:39 - getOperation(String) - start getHttpUrl 2016-04-21 19:40:03 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-21 19:40:03 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-21 19:40:03 DEBUG BucketCoding:42 - coding name done 2016-04-21 19:40:03 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-21 19:40:03 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-21 19:40:03 DEBUG MongoIO:77 - open mongo connection 2016-04-21 19:40:03 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-21 19:40:03 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:40:03 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:40:03 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@bca93a16, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5ae38c58, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@11131406, socketFactory=javax.net.DefaultSocketFactory@7b879eab, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-21 19:40:03 INFO MongoIO:106 - new mongo connection pool opened 2016-04-21 19:40:03 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:16, serverValue:39413}] to mongo2-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1223706, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:40:03 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-21 19:40:03 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:40:03 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:17, serverValue:1631775}] to mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1031432, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:40:03 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:19, serverValue:1937063}] to mongo1-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=750343, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.8 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:18, serverValue:1350481}] to mongo4-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-21 19:40:03 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1495260, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-21 19:40:03 INFO connection:71 - Opened connection [connectionId{localValue:20, serverValue:1631776}] to mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1631776}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.8 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}] 2016-04-21 19:40:03 DEBUG command:56 - Command execution completed 2016-04-21 19:40:03 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1631776}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG command:56 - Command execution completed 2016-04-21 19:40:03 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1631776}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG command:56 - Command execution completed 2016-04-21 19:40:03 DEBUG DefaultMongoClient:1405 - MongoDB - pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-21 19:40:03 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-21 19:40:03 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1631776}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG command:56 - Command execution completed 2016-04-21 19:40:03 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1631776}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG command:56 - Command execution completed 2016-04-21 19:40:03 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-21 19:40:03 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:20, serverValue:1631776}] to server mongo3-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG query:56 - Query completed 2016-04-21 19:40:03 INFO MongoIO:186 - object found hcaf_filtered.csv 2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:19, serverValue:1937063} 2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:16, serverValue:39413} 2016-04-21 19:40:03 INFO connection:71 - Closed connection [connectionId{localValue:20, serverValue:1631776}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:20, serverValue:1631776} 2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:18, serverValue:1350481} 2016-04-21 19:40:03 INFO MongoIO:508 - Mongo has been closed 2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:17, serverValue:1631775} 2016-04-21 19:40:03 DEBUG Operation:81 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-21 19:40:03 INFO Operation:55 - URL generated: smp://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc= 2016-04-21 19:40:03 INFO Operation:57 - URL generated: smp://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc= 2016-04-21 19:40:03 DEBUG Operation:87 - translating: http://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc= 2016-04-21 19:40:03 DEBUG Operation:90 - base Url extracted is: http://data-d.d4science.org/ 2016-04-21 19:40:03 DEBUG Operation:93 - get params: http://data-d.d4science.org/ 8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc= 2016-04-21 19:40:03 INFO Operation:99 - uri translated in http url: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0 2016-04-21 19:40:03 INFO Operation:65 - URL translated: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0 2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.1 ms, state=CONNECTED}] 2016-04-21 19:40:03 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-21 19:40:03 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.1 ms, state=CONNECTED}] 2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:14, serverValue:1937062} 2016-04-21 19:40:03 INFO connection:71 - Closed connection [connectionId{localValue:15, serverValue:1631774}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:13, serverValue:1350480} 2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:11, serverValue:39412} 2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:15, serverValue:1631774} 2016-04-21 19:40:03 DEBUG connection:56 - Closing connection connectionId{localValue:12, serverValue:1631773} 2016-04-21 19:40:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:40:21 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:40:21 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:40:21 DEBUG DataMinerManagerServiceImpl:150 - StartComputation(): [computationTitle=Dbscan-2016-04-21 19:39, computationDescription=Dbscan-2016-04-21 19:39, operator=Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[TabularParameter [tableName=http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0, templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=Test, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=10, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=1, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]], hasImage=false]] 2016-04-21 19:40:21 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:40:21 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:40:22 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:40:22 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:40:22 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:40:22 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:40:22 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:40:22 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 19:40:22 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 19:40:22 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:40:22 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:40:22 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:40:22 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:40:22 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:40:22 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:40:22 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:40:22 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:40:22 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:40:22 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:40:22 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:40:22 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:40:22 DEBUG SClient4WPS:681 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:40:22 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:40:22 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:40:22 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:40:22 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:40:22 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:40:22 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:40:22 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:40:22 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:40:22 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:40:22 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:40:22 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:40:22 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:40:22 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:40:22 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:40:22 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:40:22 DEBUG SClient4WPS:681 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:40:22 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:40:22 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:40:22 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:40:22 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:40:22 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:40:22 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:40:22 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:40:22 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:40:22 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 19:40:22 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:40:22 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:40:22 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:40:22 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 19:40:22 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 19:40:22 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:40:22 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:40:22 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:40:22 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:40:22 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:40:22 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 19:40:22 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 19:40:22 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:40:22 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:40:22 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 19:40:22 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencePointsTable, value=http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0 2016-04-21 19:40:22 DEBUG SClient4WPS:689 - UserInputs= key:FeaturesColumnNames, value=salinitymin 2016-04-21 19:40:22 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencePointsClusterLabel, value=Test 2016-04-21 19:40:22 DEBUG SClient4WPS:689 - UserInputs= key:epsilon, value=10 2016-04-21 19:40:22 DEBUG SClient4WPS:689 - UserInputs= key:min_points, value=1 2016-04-21 19:40:22 DEBUG SClient4WPS:748 - Configuring Complex: OccurrencePointsTable to: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0 2016-04-21 19:40:22 DEBUG SClient4WPS:731 - Configuring Literal: FeaturesColumnNames to: salinitymin 2016-04-21 19:40:22 DEBUG SClient4WPS:731 - Configuring Literal: OccurrencePointsClusterLabel to: Test 2016-04-21 19:40:22 DEBUG SClient4WPS:731 - Configuring Literal: epsilon to: 10 2016-04-21 19:40:22 DEBUG SClient4WPS:731 - Configuring Literal: min_points to: 1 2016-04-21 19:40:22 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:40:23 DEBUG SClient4WPS:380 - Sending: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN OccurrencePointsTable FeaturesColumnNames salinitymin OccurrencePointsClusterLabel Test epsilon 10 min_points 1 OutputTable non_deterministic_output 2016-04-21 19:40:23 DEBUG StatWPSClientSession:420 - RetrieveDataViaPost(): http://dataminer1-d-d4s.d4science.org:80/wps/WebProcessingService? 2016-04-21 19:40:23 DEBUG SClient4WPS:399 - Retrieved ProcessLocation: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=64a3a520-1938-4827-b65b-f99cc7cb28b4 2016-04-21 19:40:23 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:40:23 DEBUG SClient4WPS:768 - Starting Process: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=64a3a520-1938-4827-b65b-f99cc7cb28b4 2016-04-21 19:40:23 DEBUG SClient4WPS:695 - Stated Computation ProcessLocation:http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=64a3a520-1938-4827-b65b-f99cc7cb28b4 2016-04-21 19:40:23 DEBUG SClient4WPS:706 - ComputationId: ComputationId [id=64a3a520-1938-4827-b65b-f99cc7cb28b4, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=64a3a520-1938-4827-b65b-f99cc7cb28b4] 2016-04-21 19:40:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:40:29 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:40:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:40:33 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:40:33 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:40:33 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=64a3a520-1938-4827-b65b-f99cc7cb28b4, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=64a3a520-1938-4827-b65b-f99cc7cb28b4] 2016-04-21 19:40:33 INFO StatWPSClientSession:114 - CONNECT 2016-04-21 19:40:33 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-21 19:40:33 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=64a3a520-1938-4827-b65b-f99cc7cb28b4 2016-04-21 19:40:33 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 19:40:33 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-21 19:40:33 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-21 19:40:33 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN java.lang.RuntimeException: Error in creating the table for wps_d9e6dc53dfcf4fa0b9b6f4062c1a8a87: ERROR: syntax error at or near "<" Position: 52 2016-04-21 19:40:33 DEBUG SClient4WPS:845 - WPS FAILURE: java.lang.RuntimeException: Error in creating the table for wps_d9e6dc53dfcf4fa0b9b6f4062c1a8a87: ERROR: syntax error at or near "<" Position: 52 OR PAUSED: null 2016-04-21 19:40:33 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=100.0, status=FAILED, endDate=null, message=null, errResource=null] 2016-04-21 19:40:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:40:59 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:40:59 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:40:59 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS 2016-04-21 19:40:59 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:40:59 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:41:00 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS KMEANS A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:41:00 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:41:00 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:41:00 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:41:00 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:41:00 DEBUG SClient4WPS:291 - WPSClient->Input: k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 2016-04-21 19:41:00 DEBUG SClient4WPS:291 - WPSClient->Input: max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 2016-04-21 19:41:00 DEBUG SClient4WPS:291 - WPSClient->Input: max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 2016-04-21 19:41:00 DEBUG SClient4WPS:291 - WPSClient->Input: min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 2016-04-21 19:41:00 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:41:00 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:41:00 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:41:00 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:41:00 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:41:00 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:41:00 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:41:00 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:41:00 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:41:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:41:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:41:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:41:00 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:41:00 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:41:00 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:41:00 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:41:00 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:41:00 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:41:00 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:41:00 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:41:00 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:41:00 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:41:00 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:41:00 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:41:00 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:41:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:41:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:41:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:41:00 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:41:00 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:41:00 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:41:00 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:41:00 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:41:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:41:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:41:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:41:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:41:00 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input 2016-04-21 19:41:00 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:41:00 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:41:00 DEBUG WPS2SM:101 - Guessed default value: 3 2016-04-21 19:41:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters 2016-04-21 19:41:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k 2016-04-21 19:41:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:41:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT] 2016-04-21 19:41:00 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input 2016-04-21 19:41:00 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:41:00 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:41:00 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:41:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure 2016-04-21 19:41:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs 2016-04-21 19:41:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:41:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:41:00 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input 2016-04-21 19:41:00 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:41:00 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:41:00 DEBUG WPS2SM:101 - Guessed default value: 5 2016-04-21 19:41:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps 2016-04-21 19:41:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps 2016-04-21 19:41:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:41:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT] 2016-04-21 19:41:00 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:41:00 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:41:00 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:41:00 DEBUG WPS2SM:101 - Guessed default value: 2 2016-04-21 19:41:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set 2016-04-21 19:41:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:41:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:41:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT] 2016-04-21 19:41:00 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]] 2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:41:00 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:41:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:41:00 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:41:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:41:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:41:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:41:00 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:41:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:41:00 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:41:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:41:00 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:41:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:41:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:41:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:41:00 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:41:00 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:41:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:41:00 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:41:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:41:00 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:41:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:41:00 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:41:00 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:41:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:41:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:41:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:41:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:41:00 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:41:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:41:00 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:41:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:41:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:41:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:41:00 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:41:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:41:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:41:00 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:41:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:41:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:41:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:41:00 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:41:00 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:41:00 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:41:00 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:41:00 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:41:00 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:41:00 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:41:00 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:41:00 INFO WorkspaceExplorerServiceImpl:142 - end time - 171 msc 0 sec 2016-04-21 19:41:00 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:41:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:41:24 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:42:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:42:19 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:43:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:43:14 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:44:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:44:09 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:45:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:45:04 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:45:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:45:07 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:45:07 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:45:07 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF 2016-04-21 19:45:07 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:45:07 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:45:08 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF LOF Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed. PointsTable Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: PointsTable. Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from PointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from PointsTable separated by | ] PointsClusterLabel table name of the resulting distribution Name of the parameter: PointsClusterLabel. table name of the resulting distribution Cluster_ minimal_points_lower_bound locality (usually called k): minimal number of nearest neighbors Name of the parameter: minimal_points_lower_bound. locality (usually called k): minimal number of nearest neighbors 2 minimal_points_upper_bound maximum number of nearest neighbors to take into account for outliers evaluation Name of the parameter: minimal_points_upper_bound. maximum number of nearest neighbors to take into account for outliers evaluation 10 distance_function the distance function to use in the calculation Name of the parameter: distance_function. the distance function to use in the calculation euclidian distance squared distance cosine distance inverted cosine distance angle euclidian distance lof_threshold the LOF score threshold over which the point is an outlier (usually 2) Name of the parameter: lof_threshold. the LOF score threshold over which the point is an outlier (usually 2) 2 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:45:08 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:45:08 DEBUG SClient4WPS:291 - WPSClient->Input: PointsTable Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: PointsTable. Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:45:08 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from PointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from PointsTable separated by | ] 2016-04-21 19:45:08 DEBUG SClient4WPS:291 - WPSClient->Input: PointsClusterLabel table name of the resulting distribution Name of the parameter: PointsClusterLabel. table name of the resulting distribution Cluster_ 2016-04-21 19:45:08 DEBUG SClient4WPS:291 - WPSClient->Input: minimal_points_lower_bound locality (usually called k): minimal number of nearest neighbors Name of the parameter: minimal_points_lower_bound. locality (usually called k): minimal number of nearest neighbors 2 2016-04-21 19:45:08 DEBUG SClient4WPS:291 - WPSClient->Input: minimal_points_upper_bound maximum number of nearest neighbors to take into account for outliers evaluation Name of the parameter: minimal_points_upper_bound. maximum number of nearest neighbors to take into account for outliers evaluation 10 2016-04-21 19:45:08 DEBUG SClient4WPS:291 - WPSClient->Input: distance_function the distance function to use in the calculation Name of the parameter: distance_function. the distance function to use in the calculation euclidian distance squared distance cosine distance inverted cosine distance angle euclidian distance 2016-04-21 19:45:08 DEBUG SClient4WPS:291 - WPSClient->Input: lof_threshold the LOF score threshold over which the point is an outlier (usually 2) Name of the parameter: lof_threshold. the LOF score threshold over which the point is an outlier (usually 2) 2 2016-04-21 19:45:08 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:45:08 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:45:08 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:45:08 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:45:08 DEBUG WPS2SM:279 - Conversion to SM Type->PointsTable is a Complex Input 2016-04-21 19:45:08 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:45:08 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:45:08 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:45:08 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:45:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:45:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:PointsTable 2016-04-21 19:45:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:08 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=PointsTable, description=Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:45:08 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:45:08 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:45:08 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:45:08 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from PointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:45:08 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:45:08 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from PointsTable separated by | 2016-04-21 19:45:08 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:45:08 DEBUG WPS2SM:115 - Machter end: 93 2016-04-21 19:45:08 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:45:08 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: PointsTable 2016-04-21 19:45:08 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:45:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from PointsTable separated by | ] 2016-04-21 19:45:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:45:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:08 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from PointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:45:08 DEBUG WPS2SM:254 - Conversion to SM Type->PointsClusterLabel is a Literal Input 2016-04-21 19:45:08 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:45:08 DEBUG WPS2SM:101 - Guessed default value: Cluster_ 2016-04-21 19:45:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:45:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:PointsClusterLabel 2016-04-21 19:45:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=Cluster_, value=null, name=PointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:Cluster_], typology=OBJECT] 2016-04-21 19:45:08 DEBUG WPS2SM:254 - Conversion to SM Type->minimal_points_lower_bound is a Literal Input 2016-04-21 19:45:08 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:08 DEBUG WPS2SM:101 - Guessed default value: 2 2016-04-21 19:45:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:locality (usually called k): minimal number of nearest neighbors 2016-04-21 19:45:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:minimal_points_lower_bound 2016-04-21 19:45:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=minimal_points_lower_bound, description=locality (usually called k): minimal number of nearest neighbors [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT] 2016-04-21 19:45:08 DEBUG WPS2SM:254 - Conversion to SM Type->minimal_points_upper_bound is a Literal Input 2016-04-21 19:45:08 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:08 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:45:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:maximum number of nearest neighbors to take into account for outliers evaluation 2016-04-21 19:45:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:minimal_points_upper_bound 2016-04-21 19:45:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=minimal_points_upper_bound, description=maximum number of nearest neighbors to take into account for outliers evaluation [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:45:08 DEBUG WPS2SM:254 - Conversion to SM Type->distance_function is a Literal Input 2016-04-21 19:45:08 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:45:08 DEBUG WPS2SM:101 - Guessed default value: euclidian distance 2016-04-21 19:45:08 DEBUG WPS2SM:265 - ValueType[]:[euclidian distance, squared distance, cosine distance, inverted cosine distance, angle] 2016-04-21 19:45:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:the distance function to use in the calculation 2016-04-21 19:45:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:distance_function 2016-04-21 19:45:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:08 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=distance_function, description=the distance function to use in the calculation [Min N. of Entries:1; Max N. of Entries:1; default:euclidian distance], typology=ENUM] 2016-04-21 19:45:08 DEBUG WPS2SM:254 - Conversion to SM Type->lof_threshold is a Literal Input 2016-04-21 19:45:08 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:08 DEBUG WPS2SM:101 - Guessed default value: 2 2016-04-21 19:45:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:the LOF score threshold over which the point is an outlier (usually 2) 2016-04-21 19:45:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:lof_threshold 2016-04-21 19:45:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=lof_threshold, description=the LOF score threshold over which the point is an outlier (usually 2) [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT] 2016-04-21 19:45:08 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=PointsTable, description=Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from PointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=Cluster_, value=null, name=PointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:Cluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=minimal_points_lower_bound, description=locality (usually called k): minimal number of nearest neighbors [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=minimal_points_upper_bound, description=maximum number of nearest neighbors to take into account for outliers evaluation [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], Parameter [name=distance_function, description=the distance function to use in the calculation [Min N. of Entries:1; Max N. of Entries:1; default:euclidian distance], typology=ENUM], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=lof_threshold, description=the LOF score threshold over which the point is an outlier (usually 2) [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]] 2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:45:08 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:45:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:08 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:08 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:45:08 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:45:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:08 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:08 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:08 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:45:08 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:45:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:08 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:08 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:45:08 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:45:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:08 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:08 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:45:08 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:45:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:45:08 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:45:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:08 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:45:08 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:45:08 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:45:08 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:45:08 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:45:08 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:45:08 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:45:08 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:45:08 INFO WorkspaceExplorerServiceImpl:142 - end time - 171 msc 0 sec 2016-04-21 19:45:08 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:45:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:45:11 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:45:11 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:45:11 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS 2016-04-21 19:45:11 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:45:11 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:45:12 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS KMEANS A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:45:12 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:45:12 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:45:12 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:45:12 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:45:12 DEBUG SClient4WPS:291 - WPSClient->Input: k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 2016-04-21 19:45:12 DEBUG SClient4WPS:291 - WPSClient->Input: max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 2016-04-21 19:45:12 DEBUG SClient4WPS:291 - WPSClient->Input: max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 2016-04-21 19:45:12 DEBUG SClient4WPS:291 - WPSClient->Input: min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 2016-04-21 19:45:12 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:45:12 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:45:12 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:45:12 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:45:12 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:45:12 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:45:12 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:45:12 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:45:12 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:12 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:45:12 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:45:12 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:45:12 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:45:12 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:45:12 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:45:12 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:45:12 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:45:12 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:45:12 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:45:12 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:12 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:45:12 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:45:12 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input 2016-04-21 19:45:12 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:12 DEBUG WPS2SM:101 - Guessed default value: 3 2016-04-21 19:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters 2016-04-21 19:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k 2016-04-21 19:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT] 2016-04-21 19:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input 2016-04-21 19:45:12 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:12 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure 2016-04-21 19:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs 2016-04-21 19:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input 2016-04-21 19:45:12 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:12 DEBUG WPS2SM:101 - Guessed default value: 5 2016-04-21 19:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps 2016-04-21 19:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps 2016-04-21 19:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT] 2016-04-21 19:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:45:12 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:12 DEBUG WPS2SM:101 - Guessed default value: 2 2016-04-21 19:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set 2016-04-21 19:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT] 2016-04-21 19:45:12 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]] 2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:12 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:12 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:12 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:12 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:12 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:12 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:45:12 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:45:12 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:45:12 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:45:12 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:45:12 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:45:12 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:45:12 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:45:12 INFO WorkspaceExplorerServiceImpl:142 - end time - 163 msc 0 sec 2016-04-21 19:45:12 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:45:20 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:45:20 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:45:20 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 19:45:20 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:45:20 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:45:20 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:45:20 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:45:20 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:45:20 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:45:20 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:45:20 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 19:45:20 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 19:45:20 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:45:20 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:45:20 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:45:20 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:45:20 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:45:20 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:45:20 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:45:20 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:45:20 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:45:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:45:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:45:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:20 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:45:20 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:45:20 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:20 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:45:20 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:45:20 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:45:20 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:45:20 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:45:20 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:45:20 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:45:20 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:45:20 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:45:20 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:45:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:45:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:45:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:20 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:45:20 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:45:20 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:20 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:45:20 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:45:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:45:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:45:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:45:20 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 19:45:20 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:20 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:20 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:45:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 19:45:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 19:45:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:45:20 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:45:20 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:20 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:20 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 19:45:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 19:45:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:45:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 19:45:20 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:45:20 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:45:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:20 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:20 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:45:20 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:45:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:20 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:20 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:20 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:45:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:45:20 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:45:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:45:20 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:45:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:20 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:20 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:45:20 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:45:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:20 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:20 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:45:20 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:45:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:20 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:45:20 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:45:20 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:45:20 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:45:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:45:20 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:45:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:45:20 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:45:20 INFO WorkspaceExplorerServiceImpl:142 - end time - 162 msc 0 sec 2016-04-21 19:45:20 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:45:28 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:45:28 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:45:28 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:45:28 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION 2016-04-21 19:45:28 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:45:28 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:45:29 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION SGVM_INTERPOLATION An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare InputFile Input file in TACSAT format. E.g. http://goo.gl/i16kPw Name of the parameter: InputFile. Input file in TACSAT format. E.g. http://goo.gl/i16kPw text/xml text/xml application/d4science npoints The number of pings or positions required between each real or actual vessel position or ping Name of the parameter: npoints. The number of pings or positions required between each real or actual vessel position or ping 10 interval Average time in minutes between two adjacent datapoints Name of the parameter: interval. Average time in minutes between two adjacent datapoints 120 margin Maximum deviation from specified interval to find adjacent datapoints (tolerance) Name of the parameter: margin. Maximum deviation from specified interval to find adjacent datapoints (tolerance) 10 res Number of points to use to create interpolation (including start and end point) Name of the parameter: res. Number of points to use to create interpolation (including start and end point) 100 method Set to cHs for cubic Hermite spline or SL for Straight Line interpolation Name of the parameter: method. Set to cHs for cubic Hermite spline or SL for Straight Line interpolation cHs SL cHs fm The FM parameter in cubic interpolation Name of the parameter: fm. The FM parameter in cubic interpolation 0.5 distscale The DistScale parameter for cubic interpolation Name of the parameter: distscale. The DistScale parameter for cubic interpolation 20 sigline The Sigline parameter in cubic interpolation Name of the parameter: sigline. The Sigline parameter in cubic interpolation 0.2 minspeedThr A filter on the minimum speed to take into account for interpolation Name of the parameter: minspeedThr. A filter on the minimum speed to take into account for interpolation 2 maxspeedThr A filter on the maximum speed to take into account for interpolation Name of the parameter: maxspeedThr. A filter on the maximum speed to take into account for interpolation 6 headingAdjustment Parameter to adjust the choice of heading depending on its own or previous point (0 or 1). Set 1 in case the heading at the endpoint does not represent the heading of the arriving vessel to that point but the departing vessel. Name of the parameter: headingAdjustment. Parameter to adjust the choice of heading depending on its own or previous point (0 or 1). Set 1 in case the heading at the endpoint does not represent the heading of the arriving vessel to that point but the departing vessel. 0 equalDist Whether the number of positions returned should be equally spaced or not Name of the parameter: equalDist. Whether the number of positions returned should be equally spaced or not true false true non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:45:29 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input: InputFile Input file in TACSAT format. E.g. http://goo.gl/i16kPw Name of the parameter: InputFile. Input file in TACSAT format. E.g. http://goo.gl/i16kPw text/xml text/xml application/d4science 2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input: npoints The number of pings or positions required between each real or actual vessel position or ping Name of the parameter: npoints. The number of pings or positions required between each real or actual vessel position or ping 10 2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input: interval Average time in minutes between two adjacent datapoints Name of the parameter: interval. Average time in minutes between two adjacent datapoints 120 2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input: margin Maximum deviation from specified interval to find adjacent datapoints (tolerance) Name of the parameter: margin. Maximum deviation from specified interval to find adjacent datapoints (tolerance) 10 2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input: res Number of points to use to create interpolation (including start and end point) Name of the parameter: res. Number of points to use to create interpolation (including start and end point) 100 2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input: method Set to cHs for cubic Hermite spline or SL for Straight Line interpolation Name of the parameter: method. Set to cHs for cubic Hermite spline or SL for Straight Line interpolation cHs SL cHs 2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input: fm The FM parameter in cubic interpolation Name of the parameter: fm. The FM parameter in cubic interpolation 0.5 2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input: distscale The DistScale parameter for cubic interpolation Name of the parameter: distscale. The DistScale parameter for cubic interpolation 20 2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input: sigline The Sigline parameter in cubic interpolation Name of the parameter: sigline. The Sigline parameter in cubic interpolation 0.2 2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input: minspeedThr A filter on the minimum speed to take into account for interpolation Name of the parameter: minspeedThr. A filter on the minimum speed to take into account for interpolation 2 2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input: maxspeedThr A filter on the maximum speed to take into account for interpolation Name of the parameter: maxspeedThr. A filter on the maximum speed to take into account for interpolation 6 2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input: headingAdjustment Parameter to adjust the choice of heading depending on its own or previous point (0 or 1). Set 1 in case the heading at the endpoint does not represent the heading of the arriving vessel to that point but the departing vessel. Name of the parameter: headingAdjustment. Parameter to adjust the choice of heading depending on its own or previous point (0 or 1). Set 1 in case the heading at the endpoint does not represent the heading of the arriving vessel to that point but the departing vessel. 0 2016-04-21 19:45:29 DEBUG SClient4WPS:291 - WPSClient->Input: equalDist Whether the number of positions returned should be equally spaced or not Name of the parameter: equalDist. Whether the number of positions returned should be equally spaced or not true false true 2016-04-21 19:45:29 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:45:29 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:45:29 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:45:29 DEBUG WPS2SM:279 - Conversion to SM Type->InputFile is a Complex Input 2016-04-21 19:45:29 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:45:29 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:45:29 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:45:29 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Input file in TACSAT format. E.g. http://goo.gl/i16kPw 2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:InputFile 2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: FileParameter [mimeType=text/xml, value=null, name=InputFile, description=Input file in TACSAT format. E.g. http://goo.gl/i16kPw [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=FILE] 2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->npoints is a Literal Input 2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The number of pings or positions required between each real or actual vessel position or ping 2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:npoints 2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=npoints, description=The number of pings or positions required between each real or actual vessel position or ping [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->interval is a Literal Input 2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 120 2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Average time in minutes between two adjacent datapoints 2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:interval 2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=120, value=null, name=interval, description=Average time in minutes between two adjacent datapoints [Min N. of Entries:1; Max N. of Entries:1; default:120], typology=OBJECT] 2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->margin is a Literal Input 2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Maximum deviation from specified interval to find adjacent datapoints (tolerance) 2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:margin 2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=margin, description=Maximum deviation from specified interval to find adjacent datapoints (tolerance) [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->res is a Literal Input 2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 100 2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Number of points to use to create interpolation (including start and end point) 2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:res 2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=100, value=null, name=res, description=Number of points to use to create interpolation (including start and end point) [Min N. of Entries:1; Max N. of Entries:1; default:100], typology=OBJECT] 2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->method is a Literal Input 2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: cHs 2016-04-21 19:45:29 DEBUG WPS2SM:265 - ValueType[]:[cHs, SL] 2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Set to cHs for cubic Hermite spline or SL for Straight Line interpolation 2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:method 2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=method, description=Set to cHs for cubic Hermite spline or SL for Straight Line interpolation [Min N. of Entries:1; Max N. of Entries:1; default:cHs], typology=ENUM] 2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->fm is a Literal Input 2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 0.5 2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The FM parameter in cubic interpolation 2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:fm 2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=null, name=fm, description=The FM parameter in cubic interpolation [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT] 2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->distscale is a Literal Input 2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 20 2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The DistScale parameter for cubic interpolation 2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:distscale 2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=20, value=null, name=distscale, description=The DistScale parameter for cubic interpolation [Min N. of Entries:1; Max N. of Entries:1; default:20], typology=OBJECT] 2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->sigline is a Literal Input 2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 0.2 2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The Sigline parameter in cubic interpolation 2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:sigline 2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0.2, value=null, name=sigline, description=The Sigline parameter in cubic interpolation [Min N. of Entries:1; Max N. of Entries:1; default:0.2], typology=OBJECT] 2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->minspeedThr is a Literal Input 2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 2 2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A filter on the minimum speed to take into account for interpolation 2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:minspeedThr 2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=2, value=null, name=minspeedThr, description=A filter on the minimum speed to take into account for interpolation [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT] 2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->maxspeedThr is a Literal Input 2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 6 2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A filter on the maximum speed to take into account for interpolation 2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:maxspeedThr 2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=6, value=null, name=maxspeedThr, description=A filter on the maximum speed to take into account for interpolation [Min N. of Entries:1; Max N. of Entries:1; default:6], typology=OBJECT] 2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->headingAdjustment is a Literal Input 2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: 0 2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Parameter to adjust the choice of heading depending on its own or previous point (0 or 1). Set 1 in case the heading at the endpoint does not represent the heading of the arriving vessel to that point but the departing vessel. 2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:headingAdjustment 2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=0, value=null, name=headingAdjustment, description=Parameter to adjust the choice of heading depending on its own or previous point (0 or 1). Set 1 in case the heading at the endpoint does not represent the heading of the arriving vessel to that point but the departing vessel. [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT] 2016-04-21 19:45:29 DEBUG WPS2SM:254 - Conversion to SM Type->equalDist is a Literal Input 2016-04-21 19:45:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:29 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:45:29 DEBUG WPS2SM:101 - Guessed default value: true 2016-04-21 19:45:29 DEBUG WPS2SM:265 - ValueType[]:[true, false] 2016-04-21 19:45:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Whether the number of positions returned should be equally spaced or not 2016-04-21 19:45:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:equalDist 2016-04-21 19:45:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:29 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=equalDist, description=Whether the number of positions returned should be equally spaced or not [Min N. of Entries:1; Max N. of Entries:1; default:true], typology=ENUM] 2016-04-21 19:45:29 DEBUG SClient4WPS:650 - Parameters: [FileParameter [mimeType=text/xml, value=null, name=InputFile, description=Input file in TACSAT format. E.g. http://goo.gl/i16kPw [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=FILE], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=npoints, description=The number of pings or positions required between each real or actual vessel position or ping [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=120, value=null, name=interval, description=Average time in minutes between two adjacent datapoints [Min N. of Entries:1; Max N. of Entries:1; default:120], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=margin, description=Maximum deviation from specified interval to find adjacent datapoints (tolerance) [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=100, value=null, name=res, description=Number of points to use to create interpolation (including start and end point) [Min N. of Entries:1; Max N. of Entries:1; default:100], typology=OBJECT], Parameter [name=method, description=Set to cHs for cubic Hermite spline or SL for Straight Line interpolation [Min N. of Entries:1; Max N. of Entries:1; default:cHs], typology=ENUM], ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=null, name=fm, description=The FM parameter in cubic interpolation [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=20, value=null, name=distscale, description=The DistScale parameter for cubic interpolation [Min N. of Entries:1; Max N. of Entries:1; default:20], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=0.2, value=null, name=sigline, description=The Sigline parameter in cubic interpolation [Min N. of Entries:1; Max N. of Entries:1; default:0.2], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=2, value=null, name=minspeedThr, description=A filter on the minimum speed to take into account for interpolation [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=6, value=null, name=maxspeedThr, description=A filter on the maximum speed to take into account for interpolation [Min N. of Entries:1; Max N. of Entries:1; default:6], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=0, value=null, name=headingAdjustment, description=Parameter to adjust the choice of heading depending on its own or previous point (0 or 1). Set 1 in case the heading at the endpoint does not represent the heading of the arriving vessel to that point but the departing vessel. [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT], Parameter [name=equalDist, description=Whether the number of positions returned should be equally spaced or not [Min N. of Entries:1; Max N. of Entries:1; default:true], typology=ENUM]] 2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:45:29 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:45:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:29 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:29 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:45:29 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:45:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:29 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:29 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:29 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:45:29 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:45:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:45:29 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:45:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:29 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:29 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:45:29 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:45:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:29 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:29 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:45:29 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:45:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:29 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:45:29 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:45:29 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:45:29 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:45:29 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:45:29 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:45:29 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:45:29 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:45:29 INFO WorkspaceExplorerServiceImpl:142 - end time - 162 msc 0 sec 2016-04-21 19:45:29 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:45:48 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:45:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:45:48 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS 2016-04-21 19:45:48 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:45:48 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:45:48 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS TIME_SERIES_ANALYSIS An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram. TimeSeriesTable The table containing the time series [a http link to a table in UTF-8 encoding following this template: (TIMESERIES) http://goo.gl/DoW6fg] Name of the parameter: TimeSeriesTable. The table containing the time series [a http link to a table in UTF-8 encoding following this template: (TIMESERIES) http://goo.gl/DoW6fg] text/xml text/xml text/csv text/plain ValueColum The column containing the values of the time series [the name of a column from TimeSeriesTable] Name of the parameter: ValueColum. The column containing the values of the time series [the name of a column from TimeSeriesTable] values FFT_Window_Samples The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples. Name of the parameter: FFT_Window_Samples. The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples. 12 AggregationFunction Function to apply to samples with the same time instant Name of the parameter: AggregationFunction. Function to apply to samples with the same time instant SUM AVG SUM Sensitivity Sensitivity to the frequency components. High sensitivity will report all the frequency components, low sensitivity will report only the most distant ones. Name of the parameter: Sensitivity. Sensitivity to the frequency components. High sensitivity will report all the frequency components, low sensitivity will report only the most distant ones. LOW NORMAL HIGH LOW SSA_Window_in_Samples The number of samples in the produced uniformly sampled signal, to use in the SSA algorithm. Must be strictly less than the Time Series length. This number should identify a portion of the signal long enough to make the system guess the nature of the trend Name of the parameter: SSA_Window_in_Samples. The number of samples in the produced uniformly sampled signal, to use in the SSA algorithm. Must be strictly less than the Time Series length. This number should identify a portion of the signal long enough to make the system guess the nature of the trend 20 SSA_EigenvaluesThreshold The threshold under which an SSA eigenvalue will be ignored, along with its eigenvector, for the reconstruction of the signal Name of the parameter: SSA_EigenvaluesThreshold. The threshold under which an SSA eigenvalue will be ignored, along with its eigenvector, for the reconstruction of the signal 0.7 SSA_Points_to_Forecast The number of points to forecast over the original length of the time series Name of the parameter: SSA_Points_to_Forecast. The number of points to forecast over the original length of the time series 10 non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:45:48 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input: TimeSeriesTable The table containing the time series [a http link to a table in UTF-8 encoding following this template: (TIMESERIES) http://goo.gl/DoW6fg] Name of the parameter: TimeSeriesTable. The table containing the time series [a http link to a table in UTF-8 encoding following this template: (TIMESERIES) http://goo.gl/DoW6fg] text/xml text/xml text/csv text/plain 2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input: ValueColum The column containing the values of the time series [the name of a column from TimeSeriesTable] Name of the parameter: ValueColum. The column containing the values of the time series [the name of a column from TimeSeriesTable] values 2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input: FFT_Window_Samples The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples. Name of the parameter: FFT_Window_Samples. The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples. 12 2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input: AggregationFunction Function to apply to samples with the same time instant Name of the parameter: AggregationFunction. Function to apply to samples with the same time instant SUM AVG SUM 2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input: Sensitivity Sensitivity to the frequency components. High sensitivity will report all the frequency components, low sensitivity will report only the most distant ones. Name of the parameter: Sensitivity. Sensitivity to the frequency components. High sensitivity will report all the frequency components, low sensitivity will report only the most distant ones. LOW NORMAL HIGH LOW 2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input: SSA_Window_in_Samples The number of samples in the produced uniformly sampled signal, to use in the SSA algorithm. Must be strictly less than the Time Series length. This number should identify a portion of the signal long enough to make the system guess the nature of the trend Name of the parameter: SSA_Window_in_Samples. The number of samples in the produced uniformly sampled signal, to use in the SSA algorithm. Must be strictly less than the Time Series length. This number should identify a portion of the signal long enough to make the system guess the nature of the trend 20 2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input: SSA_EigenvaluesThreshold The threshold under which an SSA eigenvalue will be ignored, along with its eigenvector, for the reconstruction of the signal Name of the parameter: SSA_EigenvaluesThreshold. The threshold under which an SSA eigenvalue will be ignored, along with its eigenvector, for the reconstruction of the signal 0.7 2016-04-21 19:45:48 DEBUG SClient4WPS:291 - WPSClient->Input: SSA_Points_to_Forecast The number of points to forecast over the original length of the time series Name of the parameter: SSA_Points_to_Forecast. The number of points to forecast over the original length of the time series 10 2016-04-21 19:45:48 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:45:48 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:45:48 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:45:48 DEBUG WPS2SM:279 - Conversion to SM Type->TimeSeriesTable is a Complex Input 2016-04-21 19:45:48 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:45:48 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:45:48 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:45:48 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The table containing the time series [a http link to a table in UTF-8 encoding following this template: (TIMESERIES) http://goo.gl/DoW6fg] 2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:TimeSeriesTable 2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=TimeSeriesTable, description=The table containing the time series [a http link to a table in UTF-8 encoding following this template: (TIMESERIES) http://goo.gl/DoW6fg] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:45:48 DEBUG WPS2SM:254 - Conversion to SM Type->ValueColum is a Literal Input 2016-04-21 19:45:48 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:48 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:45:48 DEBUG WPS2SM:101 - Guessed default value: values 2016-04-21 19:45:48 DEBUG WPS2SM:130 - Machter title: The column containing the values of the time series [the name of a column from TimeSeriesTable] [Min N. of Entries:1; Max N. of Entries:1; default:values] 2016-04-21 19:45:48 DEBUG WPS2SM:131 - Machter find: true 2016-04-21 19:45:48 DEBUG WPS2SM:132 - Machter group: the name of a column from TimeSeriesTable 2016-04-21 19:45:48 DEBUG WPS2SM:133 - Machter start: 53 2016-04-21 19:45:48 DEBUG WPS2SM:134 - Machter end: 94 2016-04-21 19:45:48 DEBUG WPS2SM:135 - Machter Group Count: 1 2016-04-21 19:45:48 DEBUG WPS2SM:137 - Matcher referredTabularParameterName: TimeSeriesTable 2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The column containing the values of the time series [the name of a column from TimeSeriesTable] 2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:ValueColum 2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=ValueColum, description=The column containing the values of the time series [the name of a column from TimeSeriesTable] [Min N. of Entries:1; Max N. of Entries:1; default:values], typology=COLUMN] 2016-04-21 19:45:48 DEBUG WPS2SM:254 - Conversion to SM Type->FFT_Window_Samples is a Literal Input 2016-04-21 19:45:48 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:48 DEBUG WPS2SM:101 - Guessed default value: 12 2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples. 2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FFT_Window_Samples 2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=12, value=null, name=FFT_Window_Samples, description=The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples. [Min N. of Entries:1; Max N. of Entries:1; default:12], typology=OBJECT] 2016-04-21 19:45:48 DEBUG WPS2SM:254 - Conversion to SM Type->AggregationFunction is a Literal Input 2016-04-21 19:45:48 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:48 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:45:48 DEBUG WPS2SM:101 - Guessed default value: SUM 2016-04-21 19:45:48 DEBUG WPS2SM:265 - ValueType[]:[SUM, AVG] 2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Function to apply to samples with the same time instant 2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:AggregationFunction 2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=AggregationFunction, description=Function to apply to samples with the same time instant [Min N. of Entries:1; Max N. of Entries:1; default:SUM], typology=ENUM] 2016-04-21 19:45:48 DEBUG WPS2SM:254 - Conversion to SM Type->Sensitivity is a Literal Input 2016-04-21 19:45:48 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:48 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:45:48 DEBUG WPS2SM:101 - Guessed default value: LOW 2016-04-21 19:45:48 DEBUG WPS2SM:265 - ValueType[]:[LOW, NORMAL, HIGH] 2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Sensitivity to the frequency components. High sensitivity will report all the frequency components, low sensitivity will report only the most distant ones. 2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:Sensitivity 2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=Sensitivity, description=Sensitivity to the frequency components. High sensitivity will report all the frequency components, low sensitivity will report only the most distant ones. [Min N. of Entries:1; Max N. of Entries:1; default:LOW], typology=ENUM] 2016-04-21 19:45:48 DEBUG WPS2SM:254 - Conversion to SM Type->SSA_Window_in_Samples is a Literal Input 2016-04-21 19:45:48 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:48 DEBUG WPS2SM:101 - Guessed default value: 20 2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The number of samples in the produced uniformly sampled signal, to use in the SSA algorithm. Must be strictly less than the Time Series length. This number should identify a portion of the signal long enough to make the system guess the nature of the trend 2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:SSA_Window_in_Samples 2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=20, value=null, name=SSA_Window_in_Samples, description=The number of samples in the produced uniformly sampled signal, to use in the SSA algorithm. Must be strictly less than the Time Series length. This number should identify a portion of the signal long enough to make the system guess the nature of the trend [Min N. of Entries:1; Max N. of Entries:1; default:20], typology=OBJECT] 2016-04-21 19:45:48 DEBUG WPS2SM:254 - Conversion to SM Type->SSA_EigenvaluesThreshold is a Literal Input 2016-04-21 19:45:48 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-21 19:45:48 DEBUG WPS2SM:101 - Guessed default value: 0.7 2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The threshold under which an SSA eigenvalue will be ignored, along with its eigenvector, for the reconstruction of the signal 2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:SSA_EigenvaluesThreshold 2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0.7, value=null, name=SSA_EigenvaluesThreshold, description=The threshold under which an SSA eigenvalue will be ignored, along with its eigenvector, for the reconstruction of the signal [Min N. of Entries:1; Max N. of Entries:1; default:0.7], typology=OBJECT] 2016-04-21 19:45:48 DEBUG WPS2SM:254 - Conversion to SM Type->SSA_Points_to_Forecast is a Literal Input 2016-04-21 19:45:48 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:45:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:45:48 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:45:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The number of points to forecast over the original length of the time series 2016-04-21 19:45:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:SSA_Points_to_Forecast 2016-04-21 19:45:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:45:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=SSA_Points_to_Forecast, description=The number of points to forecast over the original length of the time series [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:45:48 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=TimeSeriesTable, description=The table containing the time series [a http link to a table in UTF-8 encoding following this template: (TIMESERIES) http://goo.gl/DoW6fg] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=ValueColum, description=The column containing the values of the time series [the name of a column from TimeSeriesTable] [Min N. of Entries:1; Max N. of Entries:1; default:values], typology=COLUMN], ObjectParameter [type=java.lang.Integer, defaultValue=12, value=null, name=FFT_Window_Samples, description=The number of samples N on which the Fourier Transform (FFT) will be extracted. It should be a power of two and less than the signal length, otherwise it will be automatically recalculated. The FFT will be calculated every N/2 samples, taking N samples each time. The spectrogram will display the FFT on the slices of N samples. [Min N. of Entries:1; Max N. of Entries:1; default:12], typology=OBJECT], Parameter [name=AggregationFunction, description=Function to apply to samples with the same time instant [Min N. of Entries:1; Max N. of Entries:1; default:SUM], typology=ENUM], Parameter [name=Sensitivity, description=Sensitivity to the frequency components. High sensitivity will report all the frequency components, low sensitivity will report only the most distant ones. [Min N. of Entries:1; Max N. of Entries:1; default:LOW], typology=ENUM], ObjectParameter [type=java.lang.Integer, defaultValue=20, value=null, name=SSA_Window_in_Samples, description=The number of samples in the produced uniformly sampled signal, to use in the SSA algorithm. Must be strictly less than the Time Series length. This number should identify a portion of the signal long enough to make the system guess the nature of the trend [Min N. of Entries:1; Max N. of Entries:1; default:20], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=0.7, value=null, name=SSA_EigenvaluesThreshold, description=The threshold under which an SSA eigenvalue will be ignored, along with its eigenvector, for the reconstruction of the signal [Min N. of Entries:1; Max N. of Entries:1; default:0.7], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=SSA_Points_to_Forecast, description=The number of points to forecast over the original length of the time series [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT]] 2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:45:48 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:45:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:48 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:48 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:45:48 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:45:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:48 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:48 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:48 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:45:48 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:45:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:45:48 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:48 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:45:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:45:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:45:48 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:45:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:45:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:45:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:45:48 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:48 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:45:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:45:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:45:49 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:45:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:45:49 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:45:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:45:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:45:49 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:45:49 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:45:49 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:45:49 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:45:49 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:45:49 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:45:49 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:45:49 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:45:49 INFO WorkspaceExplorerServiceImpl:142 - end time - 184 msc 0 sec 2016-04-21 19:45:49 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:45:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:45:59 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:46:48 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 19:46:48 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 19:46:48 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 19:46:48 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 19:46:48 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 19:46:48 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:46:48 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 19:46:48 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@5028c90a 2016-04-21 19:46:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:46:48 INFO ASLSession:352 - Logging the entrance 2016-04-21 19:46:48 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 19:46:48 DEBUG TemplateModel:83 - 2016-04-21 19:46:48, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 19:46:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:46:48 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 19:46:48 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 159 ms 2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 19:46:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 19:46:48 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 19:46:48 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:46:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 19:46:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@17e27615 2016-04-21 19:46:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@61a517a3 2016-04-21 19:46:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@37b742cf 2016-04-21 19:46:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@5459331f 2016-04-21 19:46:48 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 131 ms 2016-04-21 19:46:48 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 19:46:49 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 19:46:49 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 19:46:49 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 19:46:49 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 19:46:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:46:49 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:46:49 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 19:46:49 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 19:46:49 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 19:46:49 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 19:46:49 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 19:46:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:46:49 INFO ASLSession:352 - Logging the entrance 2016-04-21 19:46:49 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 19:46:49 DEBUG TemplateModel:83 - 2016-04-21 19:46:49, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 19:46:49 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:46:49 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 19:46:49 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 27 ms 2016-04-21 19:46:49 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 19:46:49 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:46:49 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 19:46:49 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:46:49 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 19:46:49 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 19:46:49 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 19:46:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:46:49 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:46:49 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:46:49 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 19:46:49 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:46:49 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:46:49 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 19:46:49 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 19:46:49 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 19:46:49 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 19:46:49 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 19:46:49 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 19:46:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 19:46:49 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:46:49 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 19:46:49 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 22 ms 2016-04-21 19:46:49 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 19:46:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:46:49 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:46:49 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:46:49 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 19:46:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:46:49 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 19:46:50 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:46:50 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 19:46:50 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 19:46:50 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 19:46:50 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 19:46:50 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 19:46:50 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 19:46:50 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 19:46:50 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 19:46:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:46:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:46:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:46:50 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 19:46:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:46:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:46:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:46:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:46:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:46:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:46:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:46:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 19:46:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:46:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:46:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:46:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:46:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:46:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:46:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:46:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 19:46:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:46:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:46:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:46:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:46:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:46:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:46:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:46:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 19:46:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:46:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:46:51 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 19:46:51 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 19:46:51 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:46:51 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:46:51 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:46:51 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:46:51 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:46:51 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:46:51 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:46:51 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:46:51 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 19:46:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:46:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:46:51 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:46:51 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:46:51 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:46:51 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:46:51 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:46:51 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:46:51 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:46:51 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:46:51 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 19:46:51 INFO WorkspaceExplorerServiceImpl:188 - end time - 121 msc 0 sec 2016-04-21 19:46:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:46:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:46:51 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:46:51 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:46:51 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 19:46:51 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 37 ms 2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 19:46:51 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:46:51 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 19:46:51 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 21 ms 2016-04-21 19:46:51 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 19:46:51 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 19:46:51 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 19:46:51 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 19:46:51 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 19:46:51 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:46:51 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 19:46:51 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 23 ms 2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 19:46:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:46:51 INFO WorkspaceExplorerServiceImpl:188 - end time - 286 msc 0 sec 2016-04-21 19:47:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:47:14 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:47:14 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:47:14 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 19:47:14 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:47:14 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:47:15 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:47:15 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:47:15 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:47:15 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:47:15 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:47:15 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 19:47:15 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 19:47:15 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:47:15 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:47:15 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:47:15 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:47:15 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:47:15 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:47:15 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:47:15 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:47:15 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:47:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:47:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:47:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:47:15 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:47:15 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:47:15 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:47:15 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:47:15 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:47:15 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:47:15 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:47:15 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:47:15 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:47:15 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:47:15 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:47:15 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:47:15 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:47:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:47:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:47:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:47:15 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:47:15 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:47:15 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:47:15 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:47:15 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:47:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:47:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:47:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:47:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:47:15 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 19:47:15 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:47:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:47:15 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:47:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 19:47:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 19:47:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:47:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:47:15 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:47:15 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:47:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:47:15 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 19:47:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 19:47:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:47:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:47:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 19:47:15 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:47:15 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:47:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:47:15 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:47:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:47:15 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:47:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:47:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:47:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:47:15 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:47:15 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:47:15 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:47:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:47:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:47:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:47:15 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:47:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:47:15 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:47:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:47:15 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:47:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:47:15 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:47:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:47:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:47:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:47:15 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:47:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:47:15 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:47:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:47:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:47:15 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:47:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:47:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:47:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:47:15 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:47:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:47:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:47:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:47:15 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 19:47:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:47:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:47:15 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:47:15 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:47:15 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:47:15 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:47:15 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:47:15 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:47:15 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:47:15 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:47:15 INFO WorkspaceExplorerServiceImpl:142 - end time - 218 msc 0 sec 2016-04-21 19:47:15 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:47:20 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:47:20 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:47:20 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS 2016-04-21 19:47:20 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:47:20 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:47:20 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS KMEANS A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:47:20 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:47:20 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:47:20 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:47:20 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:47:20 DEBUG SClient4WPS:291 - WPSClient->Input: k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 2016-04-21 19:47:20 DEBUG SClient4WPS:291 - WPSClient->Input: max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 2016-04-21 19:47:20 DEBUG SClient4WPS:291 - WPSClient->Input: max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 2016-04-21 19:47:20 DEBUG SClient4WPS:291 - WPSClient->Input: min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 2016-04-21 19:47:20 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:47:20 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:47:20 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:47:20 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:47:20 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:47:20 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:47:20 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:47:20 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:47:20 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:47:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:47:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:47:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:47:20 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:47:20 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:47:20 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:47:20 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:47:20 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:47:20 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:47:20 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:47:20 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:47:20 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:47:20 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:47:20 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:47:20 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:47:20 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:47:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:47:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:47:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:47:20 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:47:20 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:47:20 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:47:20 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:47:20 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:47:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:47:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:47:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:47:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:47:20 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input 2016-04-21 19:47:20 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:47:20 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:47:20 DEBUG WPS2SM:101 - Guessed default value: 3 2016-04-21 19:47:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters 2016-04-21 19:47:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k 2016-04-21 19:47:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:47:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT] 2016-04-21 19:47:20 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input 2016-04-21 19:47:20 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:47:20 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:47:20 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:47:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure 2016-04-21 19:47:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs 2016-04-21 19:47:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:47:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:47:20 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input 2016-04-21 19:47:20 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:47:20 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:47:20 DEBUG WPS2SM:101 - Guessed default value: 5 2016-04-21 19:47:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps 2016-04-21 19:47:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps 2016-04-21 19:47:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:47:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT] 2016-04-21 19:47:20 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:47:20 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:47:20 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:47:20 DEBUG WPS2SM:101 - Guessed default value: 2 2016-04-21 19:47:20 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set 2016-04-21 19:47:20 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:47:20 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:47:20 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT] 2016-04-21 19:47:20 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]] 2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:47:20 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:47:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:47:20 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:47:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:47:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:47:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:47:20 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:47:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:47:20 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:47:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:47:20 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:47:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:47:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:47:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:47:20 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:47:20 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:47:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:47:20 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:47:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:47:20 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:47:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:47:20 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:47:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:47:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:47:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:47:20 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:47:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:47:20 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:47:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:47:20 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:47:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:47:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:47:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:47:20 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:47:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:47:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:47:20 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:47:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:47:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:47:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:47:20 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:47:20 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:47:20 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:47:20 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:47:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:47:20 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:47:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:47:20 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:47:20 INFO WorkspaceExplorerServiceImpl:142 - end time - 205 msc 0 sec 2016-04-21 19:47:20 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:47:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:47:44 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:48:39 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:48:39 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:49:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:49:34 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:50:42 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 19:50:42 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 19:50:42 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 19:50:42 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 19:50:42 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 19:50:42 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:50:42 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 19:50:42 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@6ac67198 2016-04-21 19:50:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:50:42 INFO ASLSession:352 - Logging the entrance 2016-04-21 19:50:42 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 19:50:42 DEBUG TemplateModel:83 - 2016-04-21 19:50:42, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 19:50:42 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:50:42 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 19:50:42 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 137 ms 2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 19:50:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 19:50:42 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 19:50:42 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:50:42 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 19:50:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@6ebebb3c 2016-04-21 19:50:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@fba4820 2016-04-21 19:50:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@475b87e1 2016-04-21 19:50:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@4a7deaac 2016-04-21 19:50:42 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 88 ms 2016-04-21 19:50:43 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 19:50:43 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 19:50:43 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 19:50:43 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 19:50:43 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 19:50:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:50:43 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:50:43 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 19:50:43 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 16 ms 2016-04-21 19:50:43 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 19:50:43 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:50:43 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 19:50:43 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:50:43 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 19:50:43 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 19:50:43 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:50:43 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 19:50:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:50:43 INFO ASLSession:352 - Logging the entrance 2016-04-21 19:50:43 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 19:50:43 DEBUG TemplateModel:83 - 2016-04-21 19:50:43, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 19:50:43 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:50:43 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 19:50:43 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 19:50:43 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 19:50:43 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 19:50:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:50:43 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 19:50:43 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:50:43 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 19:50:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:50:43 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:50:43 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 19:50:43 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 19:50:43 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 19:50:43 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 19:50:43 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 19:50:43 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 19:50:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 36 2016-04-21 19:50:43 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:50:43 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 19:50:43 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 22 ms 2016-04-21 19:50:44 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 19:50:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:50:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:50:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:50:44 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 19:50:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:50:44 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 19:50:44 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:50:44 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 19:50:44 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 19:50:44 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 19:50:44 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 19:50:44 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 19:50:44 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 19:50:44 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 19:50:44 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 19:50:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:50:44 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:50:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:44 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 19:50:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:50:44 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:50:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:50:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:50:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:50:44 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:50:44 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 19:50:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:50:44 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:50:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:50:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:50:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:50:44 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:50:44 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 19:50:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:50:44 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:50:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:50:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:50:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:50:44 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:50:44 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 19:50:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 19:50:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:46 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 19:50:46 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 19:50:46 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:50:46 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:50:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:50:46 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:50:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:50:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:50:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:50:46 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:50:46 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 19:50:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:50:46 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:50:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:50:46 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:50:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:50:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:50:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:50:46 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:50:46 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 19:50:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:46 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 19:50:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 183 msc 0 sec 2016-04-21 19:50:46 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:50:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:50:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 19:50:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms 2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 19:50:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:50:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 19:50:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 20 ms 2016-04-21 19:50:46 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 19:50:46 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 19:50:46 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 19:50:46 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 19:50:46 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 19:50:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:50:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 19:50:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 19:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:50:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 293 msc 0 sec 2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:50:48 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 19:50:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:50:48 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 19:50:48 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:50:48 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:50:48 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:50:48 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:50:48 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:50:48 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:50:48 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:50:48 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 19:50:48 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 19:50:48 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:50:48 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:50:48 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:50:48 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:50:48 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:50:48 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:50:48 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:50:48 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:50:48 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:50:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:50:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:50:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:50:48 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:50:48 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:50:48 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:50:48 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:50:48 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:50:48 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:50:48 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:50:48 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:50:48 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:50:48 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:50:48 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:50:48 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:50:48 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:50:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:50:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:50:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:50:48 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:50:48 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:50:48 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:50:48 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:50:48 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:50:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:50:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:50:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:50:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:50:48 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 19:50:48 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:50:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:50:48 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:50:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 19:50:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 19:50:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:50:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:50:48 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:50:48 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:50:48 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:50:48 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 19:50:48 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 19:50:48 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:50:48 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:50:48 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 19:50:48 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:50:48 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:50:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:50:48 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:50:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:50:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:50:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:50:48 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 19:50:48 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:50:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:50:48 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:50:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:50:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:50:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:50:48 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:50:48 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:50:48 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:50:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:50:48 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:50:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:50:48 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:50:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:50:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:50:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:50:48 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:50:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:50:48 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:50:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:50:48 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:50:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:50:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:50:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:50:48 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:50:48 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:50:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:48 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:50:48 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:50:48 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:50:48 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:50:48 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:50:48 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:50:48 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:50:48 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:50:48 INFO WorkspaceExplorerServiceImpl:142 - end time - 205 msc 0 sec 2016-04-21 19:50:48 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:50:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:50:54 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:50:54 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:50:54 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS 2016-04-21 19:50:54 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:50:54 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:50:54 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS KMEANS A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:50:54 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:50:54 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:50:54 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:50:54 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:50:54 DEBUG SClient4WPS:291 - WPSClient->Input: k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 2016-04-21 19:50:54 DEBUG SClient4WPS:291 - WPSClient->Input: max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 2016-04-21 19:50:54 DEBUG SClient4WPS:291 - WPSClient->Input: max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 2016-04-21 19:50:54 DEBUG SClient4WPS:291 - WPSClient->Input: min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 2016-04-21 19:50:54 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:50:54 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:50:54 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:50:54 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:50:54 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:50:54 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:50:54 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:50:54 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:50:54 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:50:54 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:50:54 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:50:54 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:50:54 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:50:54 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:50:54 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:50:54 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:50:54 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:50:54 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:50:54 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:50:54 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:50:54 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:50:54 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:50:54 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:50:54 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:50:54 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:50:54 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:50:54 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:50:54 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:50:54 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:50:54 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:50:54 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:50:54 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:50:54 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:50:54 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:50:54 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:50:54 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:50:54 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:50:54 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input 2016-04-21 19:50:54 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:50:54 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:50:54 DEBUG WPS2SM:101 - Guessed default value: 3 2016-04-21 19:50:54 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters 2016-04-21 19:50:54 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k 2016-04-21 19:50:54 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:50:54 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT] 2016-04-21 19:50:54 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input 2016-04-21 19:50:54 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:50:54 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:50:54 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:50:54 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure 2016-04-21 19:50:54 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs 2016-04-21 19:50:54 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:50:54 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:50:54 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input 2016-04-21 19:50:54 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:50:54 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:50:54 DEBUG WPS2SM:101 - Guessed default value: 5 2016-04-21 19:50:54 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps 2016-04-21 19:50:54 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps 2016-04-21 19:50:54 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:50:54 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT] 2016-04-21 19:50:54 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:50:54 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:50:54 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:50:54 DEBUG WPS2SM:101 - Guessed default value: 2 2016-04-21 19:50:54 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set 2016-04-21 19:50:54 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:50:54 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:50:54 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT] 2016-04-21 19:50:54 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]] 2016-04-21 19:50:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:50:54 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:50:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:50:54 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:50:54 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:50:54 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:50:54 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:50:54 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:50:54 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:50:54 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:50:54 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 19:50:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:50:54 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:50:54 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:50:54 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:50:54 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:50:54 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:50:54 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:50:54 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:50:54 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:54 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:50:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:50:55 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:50:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:50:55 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 19:50:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:50:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:50:55 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:50:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:50:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:50:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:50:55 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:50:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:50:55 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:50:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:50:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:50:55 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:50:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:50:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:50:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:50:55 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:50:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:50:55 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:50:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:50:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:50:55 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:50:55 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:50:55 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:50:55 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:50:55 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:50:55 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:50:55 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:50:55 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:50:55 INFO WorkspaceExplorerServiceImpl:142 - end time - 189 msc 0 sec 2016-04-21 19:50:55 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:51:38 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:51:38 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:51:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:51:46 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:51:46 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:51:46 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 19:51:46 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:51:46 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:51:47 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:51:47 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:51:47 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:51:47 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:51:47 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:51:47 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 19:51:47 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 19:51:47 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:51:47 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:51:47 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:51:47 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:51:47 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:51:47 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:51:47 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:51:47 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:51:47 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:51:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:51:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:51:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:51:47 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:51:47 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:51:47 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:51:47 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:51:47 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:51:47 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:51:47 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:51:47 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:51:47 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:51:47 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:51:47 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:51:47 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:51:47 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:51:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:51:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:51:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:51:47 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:51:47 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:51:47 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:51:47 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:51:47 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:51:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:51:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:51:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:51:47 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:51:47 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 19:51:47 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:51:47 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:51:47 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:51:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 19:51:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 19:51:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:51:47 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:51:47 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:51:47 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:51:47 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:51:47 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 19:51:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 19:51:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:51:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:51:47 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 19:51:47 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:51:47 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:51:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:51:47 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:51:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:51:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:51:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:51:47 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:51:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:51:47 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:51:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:51:47 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:51:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:51:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:51:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:51:47 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:51:47 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:51:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:51:47 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:51:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:51:47 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:51:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:51:47 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:51:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:51:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:51:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:51:47 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:51:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:51:47 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:51:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:51:47 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:51:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:51:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:51:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:51:47 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:51:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:51:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:51:47 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 19:51:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:51:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:51:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:51:47 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:51:47 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:51:47 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:51:47 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:51:47 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:51:47 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:51:47 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:51:47 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:51:47 INFO WorkspaceExplorerServiceImpl:142 - end time - 188 msc 0 sec 2016-04-21 19:51:47 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:52:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:52:33 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:53:28 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:53:28 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:54:16 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:54:16 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:54:16 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS 2016-04-21 19:54:16 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:54:16 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:54:16 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS KMEANS A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:54:16 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:54:16 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:54:16 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:54:16 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:54:16 DEBUG SClient4WPS:291 - WPSClient->Input: k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 2016-04-21 19:54:16 DEBUG SClient4WPS:291 - WPSClient->Input: max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 2016-04-21 19:54:16 DEBUG SClient4WPS:291 - WPSClient->Input: max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 2016-04-21 19:54:16 DEBUG SClient4WPS:291 - WPSClient->Input: min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 2016-04-21 19:54:16 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:54:16 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:54:16 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:54:16 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:54:16 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:54:16 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:54:16 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:54:16 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:54:16 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:54:16 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:54:16 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:54:16 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:16 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:54:16 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:54:16 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:16 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:54:16 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:54:16 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:54:16 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:54:16 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:54:16 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:54:16 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:54:16 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:54:16 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:54:16 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:54:16 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:54:16 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:54:16 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:16 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:54:16 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:54:16 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:16 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:54:16 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:54:16 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:54:16 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:54:16 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:16 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:54:16 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input 2016-04-21 19:54:16 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:16 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:54:16 DEBUG WPS2SM:101 - Guessed default value: 3 2016-04-21 19:54:16 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters 2016-04-21 19:54:16 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k 2016-04-21 19:54:16 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:16 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT] 2016-04-21 19:54:16 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input 2016-04-21 19:54:16 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:16 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:54:16 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:54:16 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure 2016-04-21 19:54:16 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs 2016-04-21 19:54:16 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:16 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:54:16 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input 2016-04-21 19:54:16 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:16 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:54:16 DEBUG WPS2SM:101 - Guessed default value: 5 2016-04-21 19:54:16 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps 2016-04-21 19:54:16 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps 2016-04-21 19:54:16 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:16 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT] 2016-04-21 19:54:16 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:54:16 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:16 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:54:16 DEBUG WPS2SM:101 - Guessed default value: 2 2016-04-21 19:54:16 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set 2016-04-21 19:54:16 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:54:16 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:16 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT] 2016-04-21 19:54:16 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]] 2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:54:16 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:54:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:54:16 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:54:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:54:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:54:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:54:16 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:54:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:54:16 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:54:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:54:16 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:54:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:54:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:54:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:54:16 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:54:16 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:54:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:54:16 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:54:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:54:16 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:54:16 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:54:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:54:16 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:54:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:54:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:54:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:54:16 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:54:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:54:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:54:16 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:54:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:54:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:54:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:54:16 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:54:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:54:16 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:54:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:16 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:54:16 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:54:16 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:54:16 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:54:16 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:54:16 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:54:16 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:54:16 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:54:16 INFO WorkspaceExplorerServiceImpl:142 - end time - 185 msc 0 sec 2016-04-21 19:54:16 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:54:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:54:21 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 19:54:21 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:54:21 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF 2016-04-21 19:54:21 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:54:21 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:54:21 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF LOF Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed. PointsTable Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: PointsTable. Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from PointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from PointsTable separated by | ] PointsClusterLabel table name of the resulting distribution Name of the parameter: PointsClusterLabel. table name of the resulting distribution Cluster_ minimal_points_lower_bound locality (usually called k): minimal number of nearest neighbors Name of the parameter: minimal_points_lower_bound. locality (usually called k): minimal number of nearest neighbors 2 minimal_points_upper_bound maximum number of nearest neighbors to take into account for outliers evaluation Name of the parameter: minimal_points_upper_bound. maximum number of nearest neighbors to take into account for outliers evaluation 10 distance_function the distance function to use in the calculation Name of the parameter: distance_function. the distance function to use in the calculation euclidian distance squared distance cosine distance inverted cosine distance angle euclidian distance lof_threshold the LOF score threshold over which the point is an outlier (usually 2) Name of the parameter: lof_threshold. the LOF score threshold over which the point is an outlier (usually 2) 2 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:54:21 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:54:21 DEBUG SClient4WPS:291 - WPSClient->Input: PointsTable Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: PointsTable. Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:54:21 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from PointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from PointsTable separated by | ] 2016-04-21 19:54:21 DEBUG SClient4WPS:291 - WPSClient->Input: PointsClusterLabel table name of the resulting distribution Name of the parameter: PointsClusterLabel. table name of the resulting distribution Cluster_ 2016-04-21 19:54:21 DEBUG SClient4WPS:291 - WPSClient->Input: minimal_points_lower_bound locality (usually called k): minimal number of nearest neighbors Name of the parameter: minimal_points_lower_bound. locality (usually called k): minimal number of nearest neighbors 2 2016-04-21 19:54:21 DEBUG SClient4WPS:291 - WPSClient->Input: minimal_points_upper_bound maximum number of nearest neighbors to take into account for outliers evaluation Name of the parameter: minimal_points_upper_bound. maximum number of nearest neighbors to take into account for outliers evaluation 10 2016-04-21 19:54:21 DEBUG SClient4WPS:291 - WPSClient->Input: distance_function the distance function to use in the calculation Name of the parameter: distance_function. the distance function to use in the calculation euclidian distance squared distance cosine distance inverted cosine distance angle euclidian distance 2016-04-21 19:54:21 DEBUG SClient4WPS:291 - WPSClient->Input: lof_threshold the LOF score threshold over which the point is an outlier (usually 2) Name of the parameter: lof_threshold. the LOF score threshold over which the point is an outlier (usually 2) 2 2016-04-21 19:54:21 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:54:21 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:54:21 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:54:21 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:54:21 DEBUG WPS2SM:279 - Conversion to SM Type->PointsTable is a Complex Input 2016-04-21 19:54:21 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:54:21 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:54:21 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:54:21 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:54:21 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:54:21 DEBUG WPS2SM:291 - Conversion to SM Type->Name:PointsTable 2016-04-21 19:54:21 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:21 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=PointsTable, description=Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:54:21 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:54:21 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:21 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:54:21 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:54:21 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from PointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:54:21 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:54:21 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from PointsTable separated by | 2016-04-21 19:54:21 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:54:21 DEBUG WPS2SM:115 - Machter end: 93 2016-04-21 19:54:21 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:54:21 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: PointsTable 2016-04-21 19:54:21 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:54:21 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from PointsTable separated by | ] 2016-04-21 19:54:21 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:54:21 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:21 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from PointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:54:21 DEBUG WPS2SM:254 - Conversion to SM Type->PointsClusterLabel is a Literal Input 2016-04-21 19:54:21 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:21 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:54:21 DEBUG WPS2SM:101 - Guessed default value: Cluster_ 2016-04-21 19:54:21 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:54:21 DEBUG WPS2SM:291 - Conversion to SM Type->Name:PointsClusterLabel 2016-04-21 19:54:21 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:21 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=Cluster_, value=null, name=PointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:Cluster_], typology=OBJECT] 2016-04-21 19:54:21 DEBUG WPS2SM:254 - Conversion to SM Type->minimal_points_lower_bound is a Literal Input 2016-04-21 19:54:21 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:21 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:54:21 DEBUG WPS2SM:101 - Guessed default value: 2 2016-04-21 19:54:21 DEBUG WPS2SM:290 - Conversion to SM Type->Title:locality (usually called k): minimal number of nearest neighbors 2016-04-21 19:54:21 DEBUG WPS2SM:291 - Conversion to SM Type->Name:minimal_points_lower_bound 2016-04-21 19:54:21 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:21 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=minimal_points_lower_bound, description=locality (usually called k): minimal number of nearest neighbors [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT] 2016-04-21 19:54:21 DEBUG WPS2SM:254 - Conversion to SM Type->minimal_points_upper_bound is a Literal Input 2016-04-21 19:54:21 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:21 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:54:21 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:54:21 DEBUG WPS2SM:290 - Conversion to SM Type->Title:maximum number of nearest neighbors to take into account for outliers evaluation 2016-04-21 19:54:21 DEBUG WPS2SM:291 - Conversion to SM Type->Name:minimal_points_upper_bound 2016-04-21 19:54:21 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:21 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=minimal_points_upper_bound, description=maximum number of nearest neighbors to take into account for outliers evaluation [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:54:21 DEBUG WPS2SM:254 - Conversion to SM Type->distance_function is a Literal Input 2016-04-21 19:54:21 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:21 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:54:21 DEBUG WPS2SM:101 - Guessed default value: euclidian distance 2016-04-21 19:54:21 DEBUG WPS2SM:265 - ValueType[]:[euclidian distance, squared distance, cosine distance, inverted cosine distance, angle] 2016-04-21 19:54:21 DEBUG WPS2SM:290 - Conversion to SM Type->Title:the distance function to use in the calculation 2016-04-21 19:54:21 DEBUG WPS2SM:291 - Conversion to SM Type->Name:distance_function 2016-04-21 19:54:21 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:21 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=distance_function, description=the distance function to use in the calculation [Min N. of Entries:1; Max N. of Entries:1; default:euclidian distance], typology=ENUM] 2016-04-21 19:54:21 DEBUG WPS2SM:254 - Conversion to SM Type->lof_threshold is a Literal Input 2016-04-21 19:54:21 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:21 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:54:21 DEBUG WPS2SM:101 - Guessed default value: 2 2016-04-21 19:54:21 DEBUG WPS2SM:290 - Conversion to SM Type->Title:the LOF score threshold over which the point is an outlier (usually 2) 2016-04-21 19:54:21 DEBUG WPS2SM:291 - Conversion to SM Type->Name:lof_threshold 2016-04-21 19:54:21 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:21 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=lof_threshold, description=the LOF score threshold over which the point is an outlier (usually 2) [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT] 2016-04-21 19:54:21 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=PointsTable, description=Table containing points or observations. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from PointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=Cluster_, value=null, name=PointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:Cluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=minimal_points_lower_bound, description=locality (usually called k): minimal number of nearest neighbors [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=minimal_points_upper_bound, description=maximum number of nearest neighbors to take into account for outliers evaluation [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], Parameter [name=distance_function, description=the distance function to use in the calculation [Min N. of Entries:1; Max N. of Entries:1; default:euclidian distance], typology=ENUM], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=lof_threshold, description=the LOF score threshold over which the point is an outlier (usually 2) [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]] 2016-04-21 19:54:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:54:21 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:54:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:54:21 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:54:21 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:54:21 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:54:21 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:54:21 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:54:21 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:54:21 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:54:21 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:54:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:54:21 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:54:21 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:54:21 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:54:21 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:54:21 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:54:21 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:54:21 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:54:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:54:22 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:54:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:54:22 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:54:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:54:22 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:54:22 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:54:22 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:54:22 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:54:22 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:54:22 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:54:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:54:22 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 19:54:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:54:22 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:54:22 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:54:22 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:54:22 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:54:22 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:54:22 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:54:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:54:22 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 19:54:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:22 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:54:22 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:54:22 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:54:22 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:54:22 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:54:22 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:54:22 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:54:22 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:54:22 INFO WorkspaceExplorerServiceImpl:142 - end time - 155 msc 0 sec 2016-04-21 19:54:22 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:54:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:54:23 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:54:25 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 19:54:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:54:25 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 19:54:25 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:54:25 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:54:25 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:54:25 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:54:25 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:54:25 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:54:25 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:54:25 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 19:54:25 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 19:54:25 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:54:25 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:54:25 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:54:25 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:54:25 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:54:25 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:54:25 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:54:25 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:54:25 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:54:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:54:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:54:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:25 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:54:25 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:54:25 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:25 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:54:25 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:54:25 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:54:25 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:54:25 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:54:25 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:54:25 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:54:25 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:54:25 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:54:25 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:54:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:54:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:54:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:25 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:54:25 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:54:25 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:25 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:54:25 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:54:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:54:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:54:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:25 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:54:25 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 19:54:25 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:25 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:54:25 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:54:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 19:54:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 19:54:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:25 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:54:25 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:54:25 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:54:25 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:54:25 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 19:54:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 19:54:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:54:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:54:25 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 19:54:25 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:54:25 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:54:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:54:25 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:54:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:54:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:54:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:54:25 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:54:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:54:25 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:54:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:54:25 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:54:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:54:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:54:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:54:25 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:54:25 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:54:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:54:25 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:54:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:54:25 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:54:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:54:25 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:54:25 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:54:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:54:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:54:25 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:54:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:54:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:54:25 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:54:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:54:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:54:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:54:25 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:54:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:54:25 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:54:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:54:26 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:54:26 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:54:26 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:54:26 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:54:26 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:54:26 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:54:26 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:54:26 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:54:26 INFO WorkspaceExplorerServiceImpl:142 - end time - 143 msc 0 sec 2016-04-21 19:54:26 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:55:15 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 19:55:15 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:55:15 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS 2016-04-21 19:55:15 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:55:15 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:55:15 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS KMEANS A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:55:15 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:55:15 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:55:15 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:55:15 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:55:15 DEBUG SClient4WPS:291 - WPSClient->Input: k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 2016-04-21 19:55:15 DEBUG SClient4WPS:291 - WPSClient->Input: max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 2016-04-21 19:55:15 DEBUG SClient4WPS:291 - WPSClient->Input: max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 2016-04-21 19:55:15 DEBUG SClient4WPS:291 - WPSClient->Input: min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 2016-04-21 19:55:15 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:55:15 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:55:15 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:55:15 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:55:15 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:55:15 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:55:15 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:55:15 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:55:15 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:55:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:55:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:55:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:55:15 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:55:15 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:55:15 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:55:15 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:55:15 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:55:15 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:55:15 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:55:15 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:55:15 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:55:15 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:55:15 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:55:15 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:55:15 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:55:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:55:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:55:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:55:15 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:55:15 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:55:15 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:55:15 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:55:15 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:55:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:55:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:55:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:55:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:55:15 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input 2016-04-21 19:55:15 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:55:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:55:15 DEBUG WPS2SM:101 - Guessed default value: 3 2016-04-21 19:55:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters 2016-04-21 19:55:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k 2016-04-21 19:55:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:55:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT] 2016-04-21 19:55:15 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input 2016-04-21 19:55:15 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:55:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:55:15 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:55:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure 2016-04-21 19:55:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs 2016-04-21 19:55:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:55:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:55:15 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input 2016-04-21 19:55:15 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:55:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:55:15 DEBUG WPS2SM:101 - Guessed default value: 5 2016-04-21 19:55:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps 2016-04-21 19:55:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps 2016-04-21 19:55:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:55:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT] 2016-04-21 19:55:15 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:55:15 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:55:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:55:15 DEBUG WPS2SM:101 - Guessed default value: 2 2016-04-21 19:55:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set 2016-04-21 19:55:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:55:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:55:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT] 2016-04-21 19:55:15 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]] 2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:55:15 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:55:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:55:15 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:55:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:55:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:55:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:55:15 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:55:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:55:15 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:55:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:55:15 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:55:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:55:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:55:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:55:15 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:55:15 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:55:15 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:55:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:55:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:55:15 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:55:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:55:15 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:55:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:55:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:55:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:55:15 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:55:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:55:15 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:55:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:55:15 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:55:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:55:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:55:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:55:15 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:55:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:55:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:55:15 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:55:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:55:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:55:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:55:15 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:55:15 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:55:15 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:55:15 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:55:15 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:55:15 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:55:15 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:55:15 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:55:15 INFO WorkspaceExplorerServiceImpl:142 - end time - 170 msc 0 sec 2016-04-21 19:55:15 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:55:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:55:18 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:55:19 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 19:55:19 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:55:19 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 19:55:19 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:55:19 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:55:19 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:55:19 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:55:19 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:55:19 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:55:19 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:55:19 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 19:55:19 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 19:55:19 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:55:19 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:55:19 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:55:19 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:55:19 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:55:19 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:55:19 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:55:19 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:55:19 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:55:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:55:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:55:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:55:19 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:55:19 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:55:19 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:55:19 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:55:19 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:55:19 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:55:19 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:55:19 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:55:19 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:55:19 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:55:19 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:55:19 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:55:19 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:55:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:55:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:55:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:55:19 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:55:19 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:55:19 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:55:19 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:55:19 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:55:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:55:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:55:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:55:19 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:55:19 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 19:55:19 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:55:19 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:55:19 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:55:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 19:55:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 19:55:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:55:19 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:55:19 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:55:19 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:55:19 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:55:19 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 19:55:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 19:55:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:55:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:55:19 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 19:55:19 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:55:19 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:55:19 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:55:19 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:55:19 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:55:19 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:55:19 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:55:19 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:55:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:55:19 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:55:19 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:55:19 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:55:19 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:55:19 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:55:19 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:55:19 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:55:19 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:55:19 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:55:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:55:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:55:19 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:55:19 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:55:19 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:55:19 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:55:19 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:55:19 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:55:19 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:55:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:55:19 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:55:19 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:55:19 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:55:19 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:55:19 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:55:19 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:55:19 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:55:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:55:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:55:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:55:19 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 19:55:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:55:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:55:19 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:55:20 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:55:20 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:55:20 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:55:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:55:20 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:55:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:55:20 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:55:20 INFO WorkspaceExplorerServiceImpl:142 - end time - 153 msc 0 sec 2016-04-21 19:55:20 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:56:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:56:13 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:57:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:57:08 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:57:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:57:10 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:57:10 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:57:10 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS 2016-04-21 19:57:10 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:57:10 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:57:11 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS KMEANS A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:57:11 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:57:11 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:57:11 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:57:11 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:57:11 DEBUG SClient4WPS:291 - WPSClient->Input: k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 2016-04-21 19:57:11 DEBUG SClient4WPS:291 - WPSClient->Input: max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 2016-04-21 19:57:11 DEBUG SClient4WPS:291 - WPSClient->Input: max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 2016-04-21 19:57:11 DEBUG SClient4WPS:291 - WPSClient->Input: min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 2016-04-21 19:57:11 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:57:11 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:57:11 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:57:11 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:57:11 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:57:11 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:57:11 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:57:11 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:57:11 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:57:11 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:57:11 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:57:11 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:57:11 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:57:11 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:57:11 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:57:11 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:57:11 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:57:11 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:57:11 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:57:11 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:57:11 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:57:11 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:57:11 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:57:11 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:57:11 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:57:11 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:57:11 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:57:11 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:57:11 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:57:11 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:57:11 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:57:11 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:57:11 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:57:11 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:57:11 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:57:11 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:57:11 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:57:11 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input 2016-04-21 19:57:11 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:57:11 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:57:11 DEBUG WPS2SM:101 - Guessed default value: 3 2016-04-21 19:57:11 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters 2016-04-21 19:57:11 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k 2016-04-21 19:57:11 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:57:11 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT] 2016-04-21 19:57:11 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input 2016-04-21 19:57:11 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:57:11 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:57:11 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:57:11 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure 2016-04-21 19:57:11 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs 2016-04-21 19:57:11 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:57:11 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:57:11 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input 2016-04-21 19:57:11 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:57:11 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:57:11 DEBUG WPS2SM:101 - Guessed default value: 5 2016-04-21 19:57:11 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps 2016-04-21 19:57:11 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps 2016-04-21 19:57:11 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:57:11 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT] 2016-04-21 19:57:11 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:57:11 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:57:11 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:57:11 DEBUG WPS2SM:101 - Guessed default value: 2 2016-04-21 19:57:11 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set 2016-04-21 19:57:11 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:57:11 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:57:11 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT] 2016-04-21 19:57:11 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]] 2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:57:11 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:57:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:57:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:57:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:57:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:57:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:57:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:57:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:57:11 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 19:57:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:57:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:57:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:57:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:57:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:57:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:57:11 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:57:11 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:57:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:57:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:57:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:57:11 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 19:57:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:57:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:57:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:57:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:57:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:57:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:57:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:57:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:57:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:57:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:57:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:57:11 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:57:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:57:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 19:57:11 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 19:57:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:57:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:57:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:57:11 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:57:11 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:57:11 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:57:11 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:57:11 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:57:11 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:57:11 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:57:11 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:57:11 INFO WorkspaceExplorerServiceImpl:142 - end time - 157 msc 0 sec 2016-04-21 19:57:11 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:57:53 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 19:57:53 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 19:57:53 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 19:57:53 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 19:57:53 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 19:57:53 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:57:53 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 19:57:53 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@11c2fbbb 2016-04-21 19:57:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:57:53 INFO ASLSession:352 - Logging the entrance 2016-04-21 19:57:53 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 19:57:53 DEBUG TemplateModel:83 - 2016-04-21 19:57:53, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 19:57:53 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:57:53 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 19:57:53 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 129 ms 2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 19:57:53 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 19:57:53 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 19:57:53 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:57:53 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 19:57:53 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@724f4ed8 2016-04-21 19:57:53 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@25740d8f 2016-04-21 19:57:53 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@667dcf2d 2016-04-21 19:57:53 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@61c51cf8 2016-04-21 19:57:53 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 121 ms 2016-04-21 19:57:54 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 19:57:54 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 19:57:54 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 19:57:54 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:57:54 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 19:57:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:57:54 INFO ASLSession:352 - Logging the entrance 2016-04-21 19:57:54 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 19:57:54 DEBUG TemplateModel:83 - 2016-04-21 19:57:54, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 19:57:54 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:57:54 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 19:57:54 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 19:57:54 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 19:57:54 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 19:57:54 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 19:57:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:57:54 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:57:54 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 19:57:54 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 29 ms 2016-04-21 19:57:54 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 19:57:54 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:57:54 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 19:57:54 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:57:54 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 19:57:54 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 19:57:54 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 19:57:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:57:54 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:57:54 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:57:54 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 19:57:54 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:57:54 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:57:54 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 19:57:54 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 19:57:54 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 19:57:54 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 19:57:54 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 19:57:54 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 19:57:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 19:57:54 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:57:54 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 19:57:54 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 71 ms 2016-04-21 19:57:54 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 19:57:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:57:54 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:57:54 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:57:54 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 19:57:54 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:57:54 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 19:57:55 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:57:55 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 19:57:55 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 19:57:55 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 19:57:55 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 19:57:55 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 19:57:55 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 19:57:55 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 19:57:55 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 19:57:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:57:55 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:57:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:57:56 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:57:56 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 19:57:56 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 19:57:56 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:57:56 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:57:56 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:57:56 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:57:56 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:57:56 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:57:56 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:57:56 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:57:56 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 19:57:56 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 19:57:57 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:57:57 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:57:57 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:57:57 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:57:57 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:57:57 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:57:57 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:57:57 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:57:57 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 19:57:57 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 19:57:57 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:57:57 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:57:57 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:57:57 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:57:57 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:57:57 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:57:57 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:57:57 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:57:57 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 19:57:57 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 19:57:57 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:57:57 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:57:58 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 19:57:58 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 19:57:58 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:57:58 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 19:57:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:57:58 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:57:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:57:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:57:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:57:58 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:57:58 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 19:57:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:57:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:57:58 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:57:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:57:58 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:57:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:57:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:57:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:57:58 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:57:58 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 19:57:58 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 19:57:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:57:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:57:58 INFO WorkspaceExplorerServiceImpl:188 - end time - 133 msc 0 sec 2016-04-21 19:57:58 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:57:58 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:57:58 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 19:57:58 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 26 ms 2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 19:57:58 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:57:58 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 19:57:58 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 26 ms 2016-04-21 19:57:58 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 19:57:58 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 19:57:58 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 19:57:58 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 19:57:58 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 19:57:58 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 19:57:58 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 19:57:58 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 19:57:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:57:58 INFO WorkspaceExplorerServiceImpl:188 - end time - 234 msc 0 sec 2016-04-21 19:57:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 19:57:59 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 19:57:59 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 19:57:59 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 19:57:59 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:57:59 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 19:58:00 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:58:00 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 19:58:00 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 19:58:00 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:58:00 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 19:58:00 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 19:58:00 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 19:58:00 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 19:58:00 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 19:58:00 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 19:58:00 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 19:58:00 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 19:58:00 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 19:58:00 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 19:58:00 DEBUG WPS2SM:201 - Schema: null 2016-04-21 19:58:00 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 19:58:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 19:58:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 19:58:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:58:00 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 19:58:00 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 19:58:00 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:58:00 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:58:00 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 19:58:00 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 19:58:00 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 19:58:00 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 19:58:00 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 19:58:00 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 19:58:00 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 19:58:00 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 19:58:00 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 19:58:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 19:58:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 19:58:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:58:00 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 19:58:00 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 19:58:00 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:58:00 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 19:58:00 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 19:58:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 19:58:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 19:58:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:58:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 19:58:00 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 19:58:00 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:58:00 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:58:00 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 19:58:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 19:58:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 19:58:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:58:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 19:58:00 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 19:58:00 DEBUG WPS2SM:93 - WPS type: 2016-04-21 19:58:00 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 19:58:00 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 19:58:00 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 19:58:00 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 19:58:00 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 19:58:00 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 19:58:00 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:58:00 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:58:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:58:00 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:58:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:58:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:58:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:58:00 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:58:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:58:00 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 19:58:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:58:00 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:58:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:58:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:58:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:58:00 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:58:00 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 19:58:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 19:58:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:58:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 19:58:00 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 19:58:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:58:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:58:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:58:00 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 19:58:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:58:00 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:58:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:58:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:58:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:58:00 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:58:00 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:58:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:58:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 19:58:00 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 19:58:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 19:58:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 19:58:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 19:58:00 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 19:58:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:58:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:58:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:58:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:58:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:58:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:58:01 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:58:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 19:58:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:58:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 19:58:01 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 19:58:01 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 19:58:01 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 19:58:01 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 19:58:01 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:58:01 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 19:58:01 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 19:58:01 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 19:58:01 INFO WorkspaceExplorerServiceImpl:142 - end time - 214 msc 0 sec 2016-04-21 19:58:01 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 19:58:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:58:49 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 19:59:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 19:59:44 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:00:06 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:00:06 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:00:06 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS 2016-04-21 20:00:06 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:00:06 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:00:06 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS KMEANS A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:00:06 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:00:06 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:00:06 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:00:06 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:00:06 DEBUG SClient4WPS:291 - WPSClient->Input: k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 2016-04-21 20:00:06 DEBUG SClient4WPS:291 - WPSClient->Input: max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 2016-04-21 20:00:06 DEBUG SClient4WPS:291 - WPSClient->Input: max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 2016-04-21 20:00:06 DEBUG SClient4WPS:291 - WPSClient->Input: min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 2016-04-21 20:00:06 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:00:06 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:00:06 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:00:06 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:00:06 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:00:06 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:00:06 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:00:06 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:00:06 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:00:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:00:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:00:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:00:06 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:00:06 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:00:06 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:00:06 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:00:06 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:00:06 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:00:06 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:00:06 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:00:06 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:00:06 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:00:06 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:00:06 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:00:06 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:00:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:00:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:00:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:00:06 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:00:06 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:00:06 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:00:06 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:00:06 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:00:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:00:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:00:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:00:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:00:06 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input 2016-04-21 20:00:06 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:00:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:00:06 DEBUG WPS2SM:101 - Guessed default value: 3 2016-04-21 20:00:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters 2016-04-21 20:00:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k 2016-04-21 20:00:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:00:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT] 2016-04-21 20:00:06 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input 2016-04-21 20:00:06 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:00:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:00:06 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:00:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure 2016-04-21 20:00:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs 2016-04-21 20:00:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:00:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:00:06 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input 2016-04-21 20:00:06 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:00:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:00:06 DEBUG WPS2SM:101 - Guessed default value: 5 2016-04-21 20:00:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps 2016-04-21 20:00:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps 2016-04-21 20:00:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:00:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT] 2016-04-21 20:00:06 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:00:06 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:00:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:00:06 DEBUG WPS2SM:101 - Guessed default value: 2 2016-04-21 20:00:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set 2016-04-21 20:00:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:00:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:00:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT] 2016-04-21 20:00:06 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]] 2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:00:06 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:00:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:00:06 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:00:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:00:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:00:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:00:06 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:00:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:00:06 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:00:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:00:06 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:00:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:00:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:00:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:00:06 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:00:06 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:00:06 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:00:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:00:06 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:00:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:00:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:00:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:00:06 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:00:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:00:06 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:00:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:00:06 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:00:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:00:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:00:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:00:06 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:00:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:00:06 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 20:00:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:00:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:00:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:00:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:00:06 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:00:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:00:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:00:06 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:00:06 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:00:06 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:00:06 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:00:06 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:00:06 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:00:06 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:00:07 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:00:07 INFO WorkspaceExplorerServiceImpl:142 - end time - 183 msc 0 sec 2016-04-21 20:00:07 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:00:39 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:00:39 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:01:51 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:01:51 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:01:51 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:01:51 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:01:51 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:01:51 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:01:51 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:01:51 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@126ec933 2016-04-21 20:01:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:01:51 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:01:51 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:01:51 DEBUG TemplateModel:83 - 2016-04-21 20:01:51, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:01:51 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:01:51 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:01:51 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 108 ms 2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:01:51 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:01:51 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:01:51 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:01:51 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:01:51 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@a514560 2016-04-21 20:01:51 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@8743708 2016-04-21 20:01:51 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@c3ac821 2016-04-21 20:01:51 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@1bd3732b 2016-04-21 20:01:52 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 130 ms 2016-04-21 20:01:52 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:01:52 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:01:52 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:01:52 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:01:52 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:01:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:01:52 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:01:52 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:01:52 DEBUG TemplateModel:83 - 2016-04-21 20:01:52, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:01:52 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:01:52 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:01:52 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:01:52 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:01:52 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:01:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:01:52 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:01:52 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:01:52 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:01:52 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:01:52 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:01:52 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:01:52 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:01:52 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:01:52 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:01:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:01:52 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:01:52 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:01:52 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:01:52 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:01:52 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:01:52 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:01:52 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:01:52 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:01:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:01:52 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 24 ms 2016-04-21 20:01:52 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:01:52 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:01:52 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:01:52 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:01:52 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:01:52 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:01:52 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 20 ms 2016-04-21 20:01:52 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:01:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:01:52 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:01:52 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:01:52 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:01:52 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:01:52 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:01:52 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:01:53 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:01:53 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:01:53 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:01:53 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:01:53 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:01:53 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:01:53 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:01:53 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:01:53 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:01:53 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:01:53 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:01:53 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:01:53 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:01:53 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:01:53 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:01:53 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:01:53 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:01:53 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:01:53 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:01:53 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:01:53 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:01:53 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:01:53 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:01:53 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:01:53 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:01:53 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:01:53 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:01:53 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:01:53 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:01:53 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:01:53 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:01:53 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:01:53 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:01:53 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:01:53 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:01:53 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:01:53 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:01:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:01:55 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:01:55 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:01:55 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:01:55 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:01:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:01:55 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:01:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:01:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:01:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:01:55 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:01:55 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:01:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:01:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:01:55 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:01:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:01:55 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:01:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:01:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:01:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:01:55 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:01:55 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:01:55 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:01:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:01:55 INFO WorkspaceExplorerServiceImpl:188 - end time - 106 msc 0 sec 2016-04-21 20:01:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:01:55 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:01:55 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:01:55 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:01:55 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 27 ms 2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:01:55 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:01:55 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:01:55 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms 2016-04-21 20:01:55 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:01:55 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:01:55 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:01:55 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:01:55 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:01:55 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:01:55 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:01:55 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:01:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:01:55 INFO WorkspaceExplorerServiceImpl:188 - end time - 228 msc 0 sec 2016-04-21 20:01:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:01:57 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:01:57 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:01:57 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:01:57 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:01:57 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:01:57 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:01:57 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:01:57 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:01:57 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:01:57 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:01:57 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:01:57 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:01:57 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:01:57 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:01:57 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:01:57 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:01:57 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:01:57 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:01:57 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:01:57 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:01:57 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:01:57 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:01:57 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:01:57 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:01:57 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:01:57 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:01:58 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:01:58 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:01:58 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:01:58 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:01:58 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:01:58 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:01:58 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:01:58 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:01:58 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:01:58 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:01:58 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:01:58 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:01:58 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:01:58 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:01:58 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:01:58 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:01:58 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:01:58 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:01:58 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:01:58 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:01:58 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:01:58 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:01:58 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:01:58 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:01:58 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:01:58 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:01:58 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:01:58 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:01:58 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:01:58 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:01:58 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:01:58 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:01:58 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:01:58 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:01:58 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:01:58 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:01:58 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:01:58 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:01:58 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:01:58 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:01:58 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:01:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:01:58 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:01:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:01:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:01:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:01:58 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:01:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:01:58 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:01:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:01:58 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:01:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:01:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:01:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:01:58 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:01:58 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:01:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:01:58 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:01:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:01:58 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:01:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:01:58 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:01:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:01:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:01:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:01:58 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:01:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:01:58 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:01:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:01:58 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:01:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:01:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:01:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:01:58 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:01:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:01:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:01:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:01:58 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:01:58 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:01:58 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:01:58 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:01:58 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:01:58 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:01:58 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:01:58 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:01:58 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:01:58 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:01:58 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:01:58 INFO WorkspaceExplorerServiceImpl:142 - end time - 209 msc 0 sec 2016-04-21 20:01:58 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:02:59 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:02:59 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:02:59 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:02:59 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:02:59 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:02:59 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:02:59 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:02:59 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@3ec43fa 2016-04-21 20:02:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:02:59 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:02:59 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:02:59 DEBUG TemplateModel:83 - 2016-04-21 20:02:59, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:02:59 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:03:00 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:03:00 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 113 ms 2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:03:00 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:03:00 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:03:00 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:03:00 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:03:00 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@5c2777bc 2016-04-21 20:03:00 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@4450ba87 2016-04-21 20:03:00 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@4e88cdbf 2016-04-21 20:03:00 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@27fa5dc9 2016-04-21 20:03:00 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 122 ms 2016-04-21 20:03:00 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:03:00 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:03:00 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:03:00 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:03:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:03:00 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:03:00 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:03:00 DEBUG TemplateModel:83 - 2016-04-21 20:03:00, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:03:00 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:03:00 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:03:00 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:03:00 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:03:00 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:03:00 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:03:00 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:03:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:03:00 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:03:00 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:03:00 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:03:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:03:00 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:03:00 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:03:00 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:03:00 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:03:00 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:03:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:03:00 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:03:00 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 27 ms 2016-04-21 20:03:00 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:03:00 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:03:00 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:03:00 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:03:00 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:03:00 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:03:00 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:03:00 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:03:00 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:03:00 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:03:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:03:01 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:03:01 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:03:01 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 20 ms 2016-04-21 20:03:01 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:03:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:03:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:03:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:03:01 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:03:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:03:01 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:03:01 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:03:01 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:03:01 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:03:01 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:03:01 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:03:01 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:03:01 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:03:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:03:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:03:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:03:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:03:01 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:03:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:03:01 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:03:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:03:01 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:03:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:03:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:03:01 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:03:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:03:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:03:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:03:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:03:01 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:03:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:03:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:03:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:03:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:03:01 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:03:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:03:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:03:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:03:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:03:01 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:03:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:03:02 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:03:02 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:03:02 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:03:02 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:03:02 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:03:02 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:03:02 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:03:02 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:03:02 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:03:02 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:03:02 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:03:02 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:03:03 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:03:03 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:03:03 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:03:03 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:03:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:03:03 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:03:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:03:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:03:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:03:03 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:03:03 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:03:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:03:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:03:03 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:03:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:03:03 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:03:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:03:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:03:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:03:03 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:03:03 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:03:03 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:03:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:03:03 INFO WorkspaceExplorerServiceImpl:188 - end time - 119 msc 0 sec 2016-04-21 20:03:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:03:03 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:03:03 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:03:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:03:03 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 24 ms 2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:03:03 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:03:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:03:03 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms 2016-04-21 20:03:03 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:03:03 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:03:03 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:03:03 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:03:03 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:03:03 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:03:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:03:03 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms 2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:03:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:03:03 INFO WorkspaceExplorerServiceImpl:188 - end time - 226 msc 0 sec 2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:03:05 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:03:05 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:03:05 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:03:05 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:03:05 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:03:05 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:03:05 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:03:05 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:03:05 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:03:05 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:03:05 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:03:05 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:03:05 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:03:05 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:03:05 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:03:05 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:03:05 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:03:05 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:03:05 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:03:05 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:03:05 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:03:05 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:03:05 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:03:05 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:03:05 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:03:05 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:03:05 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:03:05 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:03:05 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:03:05 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:03:05 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:03:05 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:03:05 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:03:05 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:03:05 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:03:05 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:03:05 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:03:05 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:03:05 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:03:05 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:03:05 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:03:05 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:03:05 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:03:05 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:03:05 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:03:05 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:03:05 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:03:05 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:03:05 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:03:05 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:03:05 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:03:05 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:03:05 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:03:05 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:03:05 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:03:05 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:03:05 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:03:05 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:03:05 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:03:05 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:03:05 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:03:05 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:03:05 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:03:05 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:03:05 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:03:05 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:03:05 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:03:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:03:05 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:03:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:03:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:03:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:03:05 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:03:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:03:05 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:03:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:03:05 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:03:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:03:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:03:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:03:05 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:03:05 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:03:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:03:05 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:03:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:03:05 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:03:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:03:05 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:03:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:03:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:03:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:03:05 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:03:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:03:05 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:03:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:03:05 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:03:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:03:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:03:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:03:05 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:03:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:03:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:03:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:03:05 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:03:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:03:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:03:05 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:03:06 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:03:06 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:03:06 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:03:06 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:03:06 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:03:06 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:03:06 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:03:06 INFO WorkspaceExplorerServiceImpl:142 - end time - 176 msc 0 sec 2016-04-21 20:03:06 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:03:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:03:55 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:04:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:04:50 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:05:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:05:45 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:06:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:06:40 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:07:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:07:35 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:08:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:08:30 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:09:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:09:25 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:10:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:10:20 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:11:25 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:11:25 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:11:25 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:11:25 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:11:25 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:11:25 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:11:25 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:11:25 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@254309ab 2016-04-21 20:11:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:11:25 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:11:25 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:11:25 DEBUG TemplateModel:83 - 2016-04-21 20:11:25, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:11:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:11:25 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:11:25 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:11:25 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:11:25 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:11:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:11:25 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:11:25 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:11:25 DEBUG TemplateModel:83 - 2016-04-21 20:11:25, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:11:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:11:25 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:11:25 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:11:25 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:11:25 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:11:25 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:11:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:11:25 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:11:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:11:25 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:11:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:11:25 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:11:26 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:11:26 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:11:26 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:11:26 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:11:26 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 127 ms 2016-04-21 20:11:26 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:11:26 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:11:26 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32 2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:11:26 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:11:26 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:11:26 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:11:26 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:11:26 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:11:26 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:11:26 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@14b8c949 2016-04-21 20:11:26 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@13dc078b 2016-04-21 20:11:26 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@6de87266 2016-04-21 20:11:26 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@50bec528 2016-04-21 20:11:26 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 115 ms 2016-04-21 20:11:26 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 113 ms 2016-04-21 20:11:26 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:11:26 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:11:26 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:11:26 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:11:26 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:11:26 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:11:26 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:11:26 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:11:26 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:11:26 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:11:26 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:11:26 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:11:26 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:11:26 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:11:26 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:11:26 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 31 ms 2016-04-21 20:11:26 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:11:26 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:11:26 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:11:26 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:11:27 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:11:27 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:11:27 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:11:27 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:11:27 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:11:27 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:11:27 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:11:27 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:11:27 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:11:27 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:11:27 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:11:27 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:11:27 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:11:27 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:11:28 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:11:28 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:11:28 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:11:28 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:11:28 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:11:28 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:11:28 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:11:28 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:11:28 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:11:28 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:11:28 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:11:28 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:11:28 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:11:28 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:11:28 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:11:28 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:11:28 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:11:28 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:11:28 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:11:28 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:11:28 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:11:28 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:11:28 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:11:28 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:11:28 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:11:28 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:11:30 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:11:30 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:11:30 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:11:30 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:11:30 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:11:30 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:11:30 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:11:30 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:11:30 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:11:30 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:11:30 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:11:30 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:11:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:11:30 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:11:30 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:11:30 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:11:30 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:11:30 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:11:30 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:11:30 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:11:30 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:11:30 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:11:30 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:11:30 INFO WorkspaceExplorerServiceImpl:188 - end time - 116 msc 0 sec 2016-04-21 20:11:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:11:30 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:11:30 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:11:30 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:11:30 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 26 ms 2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:11:30 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:11:30 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:11:30 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms 2016-04-21 20:11:30 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:11:30 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:11:30 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:11:30 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:11:30 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:11:30 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:11:30 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:11:30 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms 2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:11:30 INFO WorkspaceExplorerServiceImpl:188 - end time - 237 msc 0 sec 2016-04-21 20:11:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:11:30 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:11:30 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:11:30 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:11:30 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:11:30 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:11:31 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:11:31 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:11:31 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:11:31 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:11:31 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:11:31 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:11:31 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:11:31 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:11:31 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:11:31 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:11:31 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:11:31 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:11:31 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:11:31 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:11:31 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:11:31 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:11:31 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:11:31 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:11:31 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:11:31 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:11:31 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:11:31 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:11:31 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:11:31 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:11:31 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:11:31 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:11:31 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:11:31 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:11:31 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:11:31 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:11:31 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:11:31 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:11:31 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:11:31 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:11:31 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:11:31 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:11:31 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:11:31 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:11:31 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:11:31 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:11:31 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:11:31 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:11:31 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:11:31 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:11:31 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:11:31 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:11:31 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:11:31 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:11:31 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:11:31 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:11:31 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:11:31 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:11:31 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:11:31 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:11:31 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:11:31 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:11:31 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:11:31 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:11:31 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:11:31 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:11:31 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:11:31 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:11:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:11:31 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:11:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:11:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:11:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:11:31 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:11:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:11:31 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:11:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:11:31 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:11:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:11:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:11:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:11:31 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:11:31 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:11:31 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:11:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:11:31 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:11:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:11:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:11:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:11:31 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:11:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:11:31 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:11:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:11:31 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:11:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:11:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:11:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:11:31 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:11:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:11:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:11:31 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:11:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:11:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:11:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:11:31 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:11:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:11:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:11:31 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:11:31 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:11:31 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:11:31 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:11:31 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:11:31 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:11:31 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:11:31 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:11:31 INFO WorkspaceExplorerServiceImpl:142 - end time - 233 msc 0 sec 2016-04-21 20:11:31 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:12:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:12:20 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:13:36 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:13:36 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:13:36 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:13:36 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:13:36 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:13:36 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:13:36 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:13:36 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@1bc51f4e 2016-04-21 20:13:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:13:36 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:13:36 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:13:36 DEBUG TemplateModel:83 - 2016-04-21 20:13:36, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:13:36 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:13:36 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:13:37 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 135 ms 2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:13:37 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:13:37 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:13:37 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:13:37 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:13:37 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@25599024 2016-04-21 20:13:37 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@28dccbf9 2016-04-21 20:13:37 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@67dfbbaf 2016-04-21 20:13:37 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@82f6d1d 2016-04-21 20:13:37 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 115 ms 2016-04-21 20:13:37 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:13:37 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:13:37 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:13:37 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:13:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:13:37 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:13:37 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:13:37 DEBUG TemplateModel:83 - 2016-04-21 20:13:37, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:13:37 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:13:37 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:13:37 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:13:37 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:13:37 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:13:37 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:13:37 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:13:37 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:13:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:13:37 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:13:37 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:13:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:13:37 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:13:37 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:13:37 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:13:37 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:13:37 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:13:37 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:13:37 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:13:37 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 17 ms 2016-04-21 20:13:37 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:13:37 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:13:37 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:13:37 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:13:37 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:13:37 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:13:37 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:13:37 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:13:37 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:13:37 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:13:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 36 2016-04-21 20:13:38 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:13:38 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:13:38 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 47 ms 2016-04-21 20:13:38 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:13:38 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:13:38 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:13:38 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:13:38 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:13:38 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:13:38 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:13:38 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:13:38 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:13:38 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:13:38 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:13:38 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:13:38 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:13:38 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:13:38 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:13:38 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:13:38 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:13:38 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:13:38 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:13:38 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:13:38 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:13:38 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:13:38 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:13:38 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:13:38 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:13:38 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:13:38 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:13:38 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:13:38 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:13:38 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:13:39 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:13:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:13:39 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:13:39 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:13:39 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:13:39 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:13:39 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:13:39 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:13:39 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:13:39 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:13:39 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:13:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:13:39 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:13:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:13:39 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:13:39 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:13:39 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:13:39 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:13:39 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:13:39 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:13:39 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:13:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:13:39 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:13:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:13:40 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:13:40 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:13:40 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:13:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:13:40 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:13:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:13:40 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:13:40 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:13:40 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:13:40 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:13:40 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:13:40 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:13:40 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:13:40 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:13:40 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:13:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:13:40 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:13:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:13:40 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:13:40 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:13:40 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:13:40 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:13:40 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:13:40 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:13:40 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:13:40 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:13:40 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:13:40 INFO WorkspaceExplorerServiceImpl:188 - end time - 112 msc 0 sec 2016-04-21 20:13:40 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:13:40 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:13:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:13:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:13:40 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:13:40 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:13:40 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-21 20:13:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:13:40 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:13:40 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:13:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 20 ms 2016-04-21 20:13:41 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:13:41 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:13:41 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:13:41 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:13:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:13:41 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:13:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:13:41 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:13:41 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:13:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms 2016-04-21 20:13:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:13:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:13:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:13:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:13:41 INFO WorkspaceExplorerServiceImpl:188 - end time - 224 msc 0 sec 2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:13:43 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:13:43 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:13:43 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:13:43 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:13:43 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:13:43 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:13:43 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:13:43 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:13:43 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:13:43 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:13:43 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:13:43 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:13:43 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:13:43 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:13:43 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:13:43 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:13:43 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:13:43 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:13:43 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:13:43 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:13:43 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:13:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:13:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:13:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:13:43 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:13:43 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:13:43 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:13:43 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:13:43 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:13:43 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:13:43 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:13:43 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:13:43 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:13:43 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:13:43 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:13:43 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:13:43 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:13:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:13:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:13:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:13:43 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:13:43 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:13:43 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:13:43 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:13:43 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:13:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:13:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:13:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:13:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:13:43 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:13:43 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:13:43 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:13:43 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:13:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:13:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:13:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:13:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:13:43 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:13:43 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:13:43 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:13:43 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:13:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:13:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:13:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:13:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:13:43 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:13:43 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:13:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:13:43 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:13:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:13:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:13:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:13:43 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:13:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:13:43 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:13:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:13:43 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:13:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:13:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:13:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:13:43 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:13:43 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:13:43 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:13:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:13:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:13:43 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:13:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:13:43 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:13:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:13:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:13:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:13:43 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:13:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:13:43 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:13:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:13:43 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:13:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:13:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:13:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:13:43 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:13:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:13:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:13:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:13:43 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:13:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:13:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:13:43 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:13:43 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:13:43 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:13:43 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:13:43 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:13:43 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:13:43 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:13:43 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:13:43 INFO WorkspaceExplorerServiceImpl:142 - end time - 194 msc 0 sec 2016-04-21 20:13:43 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:14:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:14:32 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:15:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:15:27 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:16:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:16:22 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:17:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:17:17 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:18:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:18:12 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:19:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:19:07 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:20:10 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:20:10 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:20:10 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:20:10 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:20:10 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:20:10 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:20:10 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:20:10 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@6edb7a65 2016-04-21 20:20:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:20:10 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:20:10 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:20:10 DEBUG TemplateModel:83 - 2016-04-21 20:20:10, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:20:10 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:20:10 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:20:10 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 125 ms 2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:20:10 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:20:10 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:20:10 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:20:10 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:20:10 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@264d1dda 2016-04-21 20:20:10 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@531e286a 2016-04-21 20:20:10 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@6ae8f764 2016-04-21 20:20:10 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@6d4d77d7 2016-04-21 20:20:10 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 111 ms 2016-04-21 20:20:10 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:20:10 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:20:10 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:20:10 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:20:10 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:20:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:20:10 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:20:10 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:20:10 DEBUG TemplateModel:83 - 2016-04-21 20:20:10, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:20:10 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:20:10 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:20:10 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:20:10 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:20:10 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:20:10 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:20:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:20:10 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:20:10 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:20:10 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 16 ms 2016-04-21 20:20:10 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:20:10 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:20:10 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:20:11 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:20:11 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:20:11 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:20:11 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:20:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:20:11 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:20:11 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:20:11 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:20:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:20:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:20:11 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:20:11 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:20:11 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:20:11 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:20:11 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:20:11 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:20:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:20:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:20:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:20:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 19 ms 2016-04-21 20:20:11 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:20:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:20:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:20:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:20:11 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:20:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:20:11 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:20:11 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:20:11 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:20:11 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:20:11 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:20:11 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:20:11 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:20:11 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:20:11 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:20:11 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:20:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:20:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:20:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:20:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:20:12 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:20:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:20:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:20:12 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:20:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:20:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:20:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:20:12 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:20:12 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:20:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:20:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:20:12 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:20:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:20:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:20:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:20:12 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:20:12 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:20:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:20:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:20:12 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:20:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:20:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:20:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:20:12 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:20:12 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:20:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:20:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:20:13 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:20:13 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:20:13 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:20:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:20:13 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:20:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:20:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:20:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:20:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:20:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:20:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:20:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:20:13 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:20:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:20:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:20:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:20:13 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:20:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:20:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:20:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:20:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:20:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:20:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:20:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:20:13 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:20:13 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:20:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:20:13 INFO WorkspaceExplorerServiceImpl:188 - end time - 107 msc 0 sec 2016-04-21 20:20:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:20:14 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:20:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:20:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:20:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 27 ms 2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:20:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:20:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:20:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms 2016-04-21 20:20:14 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:20:14 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:20:14 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:20:14 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:20:14 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:20:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:20:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:20:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:20:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:20:14 INFO WorkspaceExplorerServiceImpl:188 - end time - 241 msc 0 sec 2016-04-21 20:20:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:20:15 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:20:15 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:20:15 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:20:15 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:20:15 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:20:15 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:20:15 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:20:15 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:20:15 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:20:15 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:20:15 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:20:15 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:20:15 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:20:15 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:20:15 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:20:15 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:20:15 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:20:15 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:20:15 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:20:15 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:20:15 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:20:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:20:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:20:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:20:15 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:20:15 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:20:15 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:20:15 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:20:15 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:20:15 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:20:15 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:20:15 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:20:15 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:20:15 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:20:15 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:20:15 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:20:15 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:20:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:20:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:20:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:20:15 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:20:15 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:20:15 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:20:15 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:20:15 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:20:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:20:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:20:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:20:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:20:15 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:20:15 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:20:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:20:15 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:20:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:20:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:20:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:20:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:20:15 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:20:15 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:20:15 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:20:15 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:20:15 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:20:15 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:20:15 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:20:15 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:20:15 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:20:16 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:20:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:20:16 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:20:16 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:20:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:20:16 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:20:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:20:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:20:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:20:16 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:20:16 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:20:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:20:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:20:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:20:16 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:20:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:20:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:20:16 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:20:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:20:16 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:20:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:20:16 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:20:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:20:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:20:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:20:16 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:20:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:20:16 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:20:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:20:16 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:20:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:20:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:20:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:20:16 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:20:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:20:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:20:16 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:20:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:20:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:20:16 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:20:16 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:20:16 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:20:16 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:20:16 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:20:16 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:20:16 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:20:16 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:20:16 INFO WorkspaceExplorerServiceImpl:142 - end time - 219 msc 0 sec 2016-04-21 20:20:16 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:21:02 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:21:02 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:21:02 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:21:02 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:21:02 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:21:02 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:21:02 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:21:02 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@2cdd10f7 2016-04-21 20:21:02 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:21:02 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:21:02 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:21:02 DEBUG TemplateModel:83 - 2016-04-21 20:21:02, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:21:02 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:21:03 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:21:03 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 133 ms 2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:21:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:21:03 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:21:03 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:21:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:21:03 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@3fa46cdb 2016-04-21 20:21:03 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@7af093e1 2016-04-21 20:21:03 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@2b93088 2016-04-21 20:21:03 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@27f52f4c 2016-04-21 20:21:03 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 96 ms 2016-04-21 20:21:03 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:21:03 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:21:03 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:21:03 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:21:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:21:03 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:21:03 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:21:03 DEBUG TemplateModel:83 - 2016-04-21 20:21:03, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:21:03 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:21:03 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:21:03 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:21:03 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:21:03 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:21:03 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:21:03 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:21:03 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:21:03 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:21:03 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:21:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:21:03 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:21:03 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:21:03 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:21:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:21:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:21:03 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:21:03 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:21:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:21:03 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 23 ms 2016-04-21 20:21:04 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:21:04 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:21:04 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:21:04 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:21:04 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:21:04 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:21:04 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:21:04 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:21:04 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:21:04 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:21:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:21:04 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:21:04 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:21:04 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 22 ms 2016-04-21 20:21:04 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:21:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:21:04 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:21:04 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:21:04 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:21:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:21:04 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:21:04 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:21:04 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:21:04 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:21:04 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:21:04 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:21:04 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:21:04 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:21:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:21:04 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:21:04 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:21:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:21:04 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:21:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:21:04 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:21:04 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:21:04 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:21:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:21:04 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:21:04 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:21:04 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:21:04 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:21:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:21:04 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:21:04 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:21:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:21:04 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:21:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:21:04 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:21:04 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:21:04 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:21:04 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:21:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:21:04 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:21:04 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:21:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:21:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:21:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:21:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:21:05 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:21:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:21:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:21:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:21:05 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:21:05 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:21:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:21:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:21:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:21:05 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:21:05 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:21:05 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:21:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:21:05 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:21:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:21:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:21:05 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:21:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:21:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:21:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:21:05 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:21:05 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:21:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:21:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:21:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:21:05 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:21:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:21:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:21:05 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:21:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:21:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:21:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:21:05 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:21:05 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:21:05 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:21:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:21:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:21:05 INFO WorkspaceExplorerServiceImpl:188 - end time - 156 msc 0 sec 2016-04-21 20:21:05 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:21:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:21:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:21:05 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:21:05 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:21:05 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-21 20:21:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:21:05 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:21:05 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:21:06 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 28 ms 2016-04-21 20:21:06 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:21:06 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:21:06 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:21:06 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:21:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:21:06 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:21:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:21:06 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:21:06 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:21:06 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 25 ms 2016-04-21 20:21:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:21:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:21:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:21:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:21:06 INFO WorkspaceExplorerServiceImpl:188 - end time - 249 msc 0 sec 2016-04-21 20:21:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:21:08 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:21:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:21:08 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:21:08 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:21:08 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:21:09 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:21:09 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:21:09 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:21:09 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:21:09 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:21:09 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:21:09 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:21:09 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:21:09 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:21:09 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:21:09 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:21:09 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:21:09 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:21:09 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:21:09 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:21:09 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:21:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:21:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:21:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:21:09 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:21:09 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:21:09 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:21:09 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:21:09 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:21:09 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:21:09 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:21:09 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:21:09 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:21:09 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:21:09 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:21:09 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:21:09 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:21:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:21:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:21:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:21:09 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:21:09 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:21:09 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:21:09 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:21:09 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:21:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:21:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:21:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:21:09 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:21:09 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:21:09 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:21:09 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:21:09 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:21:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:21:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:21:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:21:09 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:21:09 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:21:09 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:21:09 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:21:09 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:21:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:21:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:21:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:21:09 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:21:09 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:21:09 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:21:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:21:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:21:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:21:09 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:21:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:21:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:21:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:21:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:21:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:21:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:21:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:21:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:21:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:21:09 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:21:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:21:09 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:21:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:21:09 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:21:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:21:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:21:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:21:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:21:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:21:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:21:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:21:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:21:09 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:21:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:21:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:21:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:21:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:21:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:21:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:21:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:21:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:21:09 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:21:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:21:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:21:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:21:09 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:21:09 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:21:09 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:21:09 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:21:09 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:21:09 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:21:09 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:21:09 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:21:09 INFO WorkspaceExplorerServiceImpl:142 - end time - 204 msc 0 sec 2016-04-21 20:21:09 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:22:13 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:22:13 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:22:13 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:22:13 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:22:13 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:22:13 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:22:13 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:22:13 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@3b203bbd 2016-04-21 20:22:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:22:13 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:22:13 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:22:13 DEBUG TemplateModel:83 - 2016-04-21 20:22:13, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:22:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:22:13 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:22:13 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 115 ms 2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:22:13 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:22:13 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:22:13 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:22:13 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:22:13 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@1df13462 2016-04-21 20:22:13 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@4c38e964 2016-04-21 20:22:13 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@1812578a 2016-04-21 20:22:13 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@51f43b12 2016-04-21 20:22:13 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 115 ms 2016-04-21 20:22:13 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:22:13 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:22:13 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:22:13 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:22:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:22:13 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:22:13 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:22:13 DEBUG TemplateModel:83 - 2016-04-21 20:22:13, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:22:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:22:13 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:22:14 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:22:14 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:22:14 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:22:14 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:22:14 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:22:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:22:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:22:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:22:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 19 ms 2016-04-21 20:22:14 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:22:14 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:22:14 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:22:14 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:22:14 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:22:14 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:22:14 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:22:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:22:14 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:22:14 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:22:14 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:22:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:22:14 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:22:14 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:22:14 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:22:14 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:22:14 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:22:14 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:22:14 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:22:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:22:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:22:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:22:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 20 ms 2016-04-21 20:22:14 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:22:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:22:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:22:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:22:14 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:22:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:22:14 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:22:14 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:22:14 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:22:14 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:22:14 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:22:14 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:22:15 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:22:15 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:22:15 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:22:15 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:22:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:22:15 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:22:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:22:15 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:22:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:22:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:22:15 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:22:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:22:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:22:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:22:15 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:22:15 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:22:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:22:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:22:15 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:22:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:22:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:22:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:22:15 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:22:15 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:22:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:22:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:22:15 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:22:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:22:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:22:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:22:15 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:22:15 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:22:15 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:22:15 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:22:16 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:22:16 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:22:16 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:22:16 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:22:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:22:16 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:22:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:22:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:22:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:22:16 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:22:16 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:22:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:22:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:22:16 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:22:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:22:16 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:22:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:22:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:22:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:22:16 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:22:16 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:22:16 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:22:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:22:16 INFO WorkspaceExplorerServiceImpl:188 - end time - 146 msc 0 sec 2016-04-21 20:22:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:22:16 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:22:16 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:22:16 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:22:16 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 27 ms 2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:22:16 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:22:16 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:22:16 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms 2016-04-21 20:22:16 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:22:16 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:22:16 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:22:16 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:22:16 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:22:16 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:22:16 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:22:16 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:22:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:22:16 INFO WorkspaceExplorerServiceImpl:188 - end time - 235 msc 0 sec 2016-04-21 20:22:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:22:19 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:22:19 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:22:19 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:22:19 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:22:19 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:22:19 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:22:19 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:22:19 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:22:19 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:22:19 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:22:19 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:22:19 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:22:19 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:22:19 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:22:19 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:22:19 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:22:19 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:22:19 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:22:19 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:22:19 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:22:19 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:22:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:22:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:22:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:22:19 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:22:19 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:22:19 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:22:19 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:22:19 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:22:19 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:22:19 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:22:19 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:22:19 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:22:19 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:22:19 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:22:19 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:22:19 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:22:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:22:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:22:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:22:19 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:22:19 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:22:19 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:22:19 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:22:19 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:22:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:22:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:22:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:22:19 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:22:19 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:22:19 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:22:19 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:22:19 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:22:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:22:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:22:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:22:19 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:22:19 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:22:19 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:22:19 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:22:19 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:22:19 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:22:19 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:22:19 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:22:19 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:22:19 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:22:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:22:19 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:22:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:22:19 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:22:19 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:22:19 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:22:19 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:22:19 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:22:19 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:22:19 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:22:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:22:19 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:22:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:22:19 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:22:19 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:22:19 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:22:19 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:22:19 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:22:19 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:22:19 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:22:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:22:19 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:22:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:22:20 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:22:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:22:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:22:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:22:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:22:20 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:22:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:22:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:22:20 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:22:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:22:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:22:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:22:20 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:22:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:22:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:22:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:22:20 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:22:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:22:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:22:20 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:22:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:22:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:22:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:22:20 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:22:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:22:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:22:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:22:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:22:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:22:20 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:22:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:22:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:22:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:22:20 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:22:20 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:22:20 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:22:20 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:22:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:22:20 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:22:20 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:22:20 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:22:20 INFO WorkspaceExplorerServiceImpl:142 - end time - 225 msc 0 sec 2016-04-21 20:22:20 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:23:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:23:09 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:24:07 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:24:07 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:24:07 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:24:07 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:24:07 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:24:07 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:24:07 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:24:07 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@1673bfca 2016-04-21 20:24:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:24:07 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:24:07 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:24:07 DEBUG TemplateModel:83 - 2016-04-21 20:24:07, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:24:07 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:24:07 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:24:07 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 129 ms 2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:24:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:24:07 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:24:07 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:24:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:24:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@78f2a737 2016-04-21 20:24:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@4ce1b9f7 2016-04-21 20:24:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@61e529fa 2016-04-21 20:24:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@6921151a 2016-04-21 20:24:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 102 ms 2016-04-21 20:24:08 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:24:08 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:24:08 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 20:24:08 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:24:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:24:08 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:24:08 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:24:08 DEBUG TemplateModel:83 - 2016-04-21 20:24:08, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:24:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:24:08 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:24:08 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:24:08 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:24:08 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:24:08 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:24:08 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:24:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:24:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:24:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:24:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 26 ms 2016-04-21 20:24:08 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:24:08 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:24:08 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:24:08 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:24:08 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:24:08 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:24:08 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:24:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:24:08 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:24:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:24:08 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:24:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:24:08 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:24:08 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:24:08 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:24:08 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:24:08 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:24:08 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:24:08 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:24:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:24:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:24:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:24:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 22 ms 2016-04-21 20:24:08 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:24:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:24:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:24:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:24:08 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:24:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:24:08 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:24:09 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:24:09 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:24:09 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:24:09 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:24:09 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:24:09 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:24:09 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:24:09 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:24:09 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:24:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:24:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:24:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:24:09 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:24:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:24:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:24:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:24:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:24:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:24:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:24:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:24:09 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:24:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:24:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:24:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:24:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:24:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:24:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:24:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:24:09 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:24:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:24:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:24:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:24:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:24:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:24:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:24:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:24:09 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:24:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:24:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:24:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:24:11 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:24:11 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:24:11 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:24:11 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:24:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:24:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:24:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:24:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:24:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:24:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:24:11 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:24:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:24:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:24:11 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:24:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:24:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:24:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:24:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:24:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:24:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:24:11 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:24:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:24:11 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:24:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:24:11 INFO WorkspaceExplorerServiceImpl:188 - end time - 215 msc 0 sec 2016-04-21 20:24:11 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:24:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:24:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:24:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 28 ms 2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:24:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:24:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:24:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms 2016-04-21 20:24:11 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:24:11 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:24:11 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:24:11 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:24:11 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:24:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:24:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:24:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms 2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:24:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:24:11 INFO WorkspaceExplorerServiceImpl:188 - end time - 339 msc 0 sec 2016-04-21 20:24:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:24:12 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:24:12 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:24:12 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:24:12 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:24:12 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:24:13 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:24:13 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:24:13 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:24:13 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:24:13 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:24:13 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:24:13 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:24:13 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:24:13 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:24:13 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:24:13 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:24:13 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:24:13 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:24:13 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:24:13 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:24:13 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:24:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:24:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:24:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:24:13 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:24:13 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:24:13 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:24:13 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:24:13 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:24:13 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:24:13 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:24:13 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:24:13 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:24:13 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:24:13 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:24:13 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:24:13 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:24:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:24:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:24:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:24:13 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:24:13 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:24:13 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:24:13 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:24:13 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:24:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:24:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:24:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:24:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:24:13 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:24:13 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:24:13 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:24:13 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:24:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:24:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:24:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:24:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:24:13 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:24:13 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:24:13 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:24:13 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:24:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:24:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:24:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:24:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:24:13 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:24:13 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:24:13 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:24:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:24:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:24:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:24:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:24:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:24:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:24:13 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:24:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:24:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:24:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:24:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:24:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:24:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:24:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:24:13 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:24:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:24:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:24:13 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:24:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:24:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:24:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:24:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:24:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:24:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:24:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:24:13 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:24:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:24:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:24:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:24:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:24:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:24:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:24:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:24:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:24:13 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:24:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:24:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:24:13 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:24:13 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:24:13 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:24:13 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:24:13 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:24:13 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:24:13 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:24:13 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:24:13 INFO WorkspaceExplorerServiceImpl:142 - end time - 200 msc 0 sec 2016-04-21 20:24:13 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:25:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:25:03 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:25:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:25:58 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:26:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:26:53 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:27:57 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:27:57 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:27:57 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:27:57 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:27:57 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:27:57 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:27:57 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:27:57 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@3f6f1dae 2016-04-21 20:27:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:27:57 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:27:57 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:27:57 DEBUG TemplateModel:83 - 2016-04-21 20:27:57, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:27:57 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:27:57 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:27:57 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 135 ms 2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:27:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:27:57 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:27:57 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:27:57 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:27:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@3c2efaeb 2016-04-21 20:27:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@9d9f02d 2016-04-21 20:27:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@4e913a8d 2016-04-21 20:27:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@43df2c2 2016-04-21 20:27:57 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 144 ms 2016-04-21 20:27:57 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:27:57 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:27:57 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:27:57 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:27:57 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:27:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:27:57 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:27:57 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:27:57 DEBUG TemplateModel:83 - 2016-04-21 20:27:57, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:27:57 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:27:57 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:27:57 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:27:57 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:27:58 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:27:58 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:27:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:27:58 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:27:58 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:27:58 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 21 ms 2016-04-21 20:27:58 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:27:58 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:27:58 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:27:58 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:27:58 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:27:58 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:27:58 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:27:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:27:58 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:27:58 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:27:58 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:27:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:27:58 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:27:58 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:27:58 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:27:58 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:27:58 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:27:58 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:27:58 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:27:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 36 2016-04-21 20:27:58 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:27:58 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:27:58 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 21 ms 2016-04-21 20:27:58 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:27:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:27:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:27:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:27:58 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:27:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:27:58 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:27:58 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:27:58 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:27:58 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:27:59 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:27:59 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:27:59 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:27:59 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:27:59 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:27:59 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:27:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:27:59 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:27:59 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:27:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:27:59 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:27:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:27:59 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:27:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:27:59 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:27:59 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:27:59 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:27:59 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:27:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:27:59 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:27:59 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:27:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:27:59 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:27:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:27:59 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:27:59 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:27:59 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:27:59 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:27:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:27:59 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:27:59 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:28:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:28:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:28:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:28:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:28:00 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:28:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:28:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:28:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:28:00 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:28:00 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:28:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:28:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:28:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:28:01 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:28:01 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:28:01 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:28:01 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:28:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:28:01 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:28:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:28:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:28:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:28:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:28:01 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:28:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:28:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:28:01 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:28:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:28:01 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:28:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:28:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:28:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:28:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:28:01 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:28:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:28:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:28:01 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:28:01 INFO WorkspaceExplorerServiceImpl:188 - end time - 124 msc 0 sec 2016-04-21 20:28:01 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:28:01 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:28:01 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:28:01 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 31 ms 2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:28:01 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:28:01 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:28:01 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 19 ms 2016-04-21 20:28:01 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:28:01 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:28:01 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:28:01 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:28:01 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:28:01 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:28:01 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:28:01 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 22 ms 2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:28:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:28:01 INFO WorkspaceExplorerServiceImpl:188 - end time - 255 msc 0 sec 2016-04-21 20:28:02 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:28:02 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:28:02 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:28:02 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:28:02 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:28:02 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:28:02 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:28:02 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:28:02 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:28:02 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:28:02 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:28:02 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:28:02 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:28:02 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:28:02 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:28:02 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:28:02 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:28:02 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:28:02 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:28:02 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:28:02 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:28:02 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:28:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:28:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:28:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:28:02 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:28:02 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:28:02 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:28:02 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:28:02 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:28:02 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:28:02 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:28:02 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:28:02 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:28:02 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:28:02 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:28:02 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:28:02 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:28:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:28:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:28:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:28:02 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:28:02 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:28:02 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:28:02 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:28:02 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:28:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:28:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:28:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:28:02 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:28:02 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:28:02 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:28:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:28:02 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:28:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:28:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:28:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:28:02 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:28:02 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:28:02 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:28:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:28:02 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:28:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:28:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:28:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:28:02 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:28:02 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:28:03 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:28:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:28:03 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:28:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:28:03 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:28:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:28:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:28:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:28:03 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:28:03 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:28:03 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:28:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:28:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:28:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:28:03 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:28:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:28:03 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:28:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:28:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:28:03 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:28:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:28:03 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:28:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:28:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:28:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:28:03 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:28:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:28:03 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:28:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:28:03 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:28:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:28:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:28:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:28:03 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:28:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:28:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:28:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:28:03 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:28:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:28:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:28:03 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:28:03 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:28:03 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:28:03 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:28:03 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:28:03 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:28:03 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:28:03 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:28:03 INFO WorkspaceExplorerServiceImpl:142 - end time - 191 msc 0 sec 2016-04-21 20:28:03 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:28:53 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:30:07 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:30:07 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:30:07 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:30:07 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:30:07 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:30:07 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:30:07 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:30:07 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@12ed3e28 2016-04-21 20:30:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:30:07 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:30:07 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:30:07 DEBUG TemplateModel:83 - 2016-04-21 20:30:07, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:30:07 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:30:07 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:30:07 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 131 ms 2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:30:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:30:07 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:30:07 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:30:07 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:30:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@795244c6 2016-04-21 20:30:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@510fb8fa 2016-04-21 20:30:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@228b0809 2016-04-21 20:30:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@2390c9f3 2016-04-21 20:30:07 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 104 ms 2016-04-21 20:30:08 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:30:08 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:30:08 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:30:08 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:30:08 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:30:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:30:08 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:30:08 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:30:08 DEBUG TemplateModel:83 - 2016-04-21 20:30:08, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:30:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:30:08 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:30:08 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:30:08 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:30:08 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:30:08 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:30:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:30:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:30:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:30:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 19 ms 2016-04-21 20:30:08 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:30:08 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:30:08 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:30:08 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:30:08 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:30:08 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:30:08 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:30:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:30:08 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:30:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:30:08 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:30:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:30:08 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:30:08 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:30:08 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:30:08 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:30:08 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:30:08 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:30:08 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:30:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:30:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:30:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:30:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 18 ms 2016-04-21 20:30:08 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:30:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:30:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:30:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:30:08 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:30:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:30:08 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:30:08 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:30:08 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:30:09 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:30:09 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:30:09 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:30:09 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:30:09 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:30:09 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:30:09 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:30:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:30:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:30:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:30:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:30:09 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:30:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:30:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:30:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:30:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:30:10 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:30:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:30:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:30:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:30:10 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:30:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:30:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:30:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:30:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:30:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:30:10 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:30:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:30:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:30:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:30:10 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:30:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:30:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:30:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:30:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:30:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:30:10 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:30:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:30:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:30:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:30:10 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:30:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:30:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:30:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:30:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:30:11 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:30:11 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:30:11 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:30:11 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:30:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:30:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:30:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:30:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:30:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:30:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:30:11 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:30:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:30:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:30:11 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:30:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:30:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:30:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:30:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:30:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:30:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:30:11 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:30:11 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:30:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:30:11 INFO WorkspaceExplorerServiceImpl:188 - end time - 118 msc 0 sec 2016-04-21 20:30:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:30:11 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:30:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:30:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:30:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 29 ms 2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:30:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:30:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:30:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms 2016-04-21 20:30:11 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:30:11 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:30:11 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:30:11 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:30:11 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:30:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:30:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:30:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms 2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:30:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:30:11 INFO WorkspaceExplorerServiceImpl:188 - end time - 345 msc 0 sec 2016-04-21 20:30:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:30:13 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:30:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:30:13 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:30:13 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:30:13 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:30:14 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:30:14 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:30:14 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:30:14 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:30:14 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:30:14 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:30:14 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:30:14 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:30:14 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:30:14 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:30:14 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:30:14 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:30:14 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:30:14 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:30:14 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:30:14 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:30:14 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:30:14 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:30:14 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:30:14 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:30:14 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:30:14 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:30:14 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:30:14 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:30:14 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:30:14 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:30:14 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:30:14 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:30:14 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:30:14 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:30:14 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:30:14 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:30:14 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:30:14 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:30:14 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:30:14 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:30:14 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:30:14 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:30:14 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:30:14 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:30:14 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:30:14 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:30:14 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:30:14 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:30:14 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:30:14 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:30:14 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:30:14 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:30:14 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:30:14 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:30:14 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:30:14 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:30:14 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:30:14 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:30:14 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:30:14 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:30:14 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:30:14 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:30:14 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:30:14 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:30:14 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:30:14 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:30:14 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:30:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:30:14 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:30:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:30:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:30:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:30:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:30:14 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:30:14 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:30:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:30:14 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:30:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:30:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:30:14 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:30:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:30:14 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:30:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:30:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:30:14 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:30:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:30:14 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:30:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:30:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:30:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:30:14 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:30:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:30:14 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:30:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:30:14 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:30:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:30:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:30:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:30:14 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:30:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:30:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:30:14 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:30:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:30:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:30:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:30:14 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:30:14 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:30:14 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:30:14 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:30:14 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:30:14 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:30:14 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:30:14 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:30:14 INFO WorkspaceExplorerServiceImpl:142 - end time - 217 msc 0 sec 2016-04-21 20:30:14 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:31:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:31:03 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:31:37 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:31:37 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:31:37 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:31:37 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:31:37 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:31:37 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:31:37 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:31:37 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@78147f9e 2016-04-21 20:31:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:31:37 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:31:37 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:31:37 DEBUG TemplateModel:83 - 2016-04-21 20:31:37, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:31:37 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:31:37 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:31:38 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 125 ms 2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:31:38 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:31:38 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:31:38 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:31:38 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:31:38 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@2e26055f 2016-04-21 20:31:38 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@3a37c9fb 2016-04-21 20:31:38 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@4145a380 2016-04-21 20:31:38 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@68050d39 2016-04-21 20:31:38 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 115 ms 2016-04-21 20:31:38 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:31:38 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:31:38 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:31:38 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:31:38 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:31:38 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:31:38 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:31:38 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:31:38 DEBUG TemplateModel:83 - 2016-04-21 20:31:38, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:31:38 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:31:38 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:31:38 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:31:38 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:31:38 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:31:38 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:31:38 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:31:38 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:31:38 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:31:38 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:31:38 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:31:38 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:31:38 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:31:38 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:31:38 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:31:38 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:31:38 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:31:38 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:31:39 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:31:39 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:31:39 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 27 ms 2016-04-21 20:31:39 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:31:39 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:31:39 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:31:39 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:31:39 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:31:39 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:31:39 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:31:39 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 23 ms 2016-04-21 20:31:39 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:31:39 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:31:39 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:31:39 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:31:39 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:31:39 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:31:39 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:31:39 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:31:39 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:31:39 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:31:39 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:31:39 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:31:39 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:31:39 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:31:39 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:31:39 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:31:39 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:31:39 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:31:39 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:31:39 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:31:39 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:31:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:31:39 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:31:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:31:39 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:31:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:31:39 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:31:39 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:31:39 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:31:39 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:31:39 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:31:39 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:31:39 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:31:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:31:39 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:31:39 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:31:39 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:31:39 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:31:40 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:31:40 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:31:40 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:31:40 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:31:40 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:31:40 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:31:40 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:31:40 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:31:40 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:31:40 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:31:40 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:31:40 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:31:40 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:31:40 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:31:40 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:31:40 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:31:40 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:31:40 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:31:40 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:31:40 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:31:41 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:31:41 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:31:41 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:31:41 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:31:41 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:31:41 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:31:41 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:31:41 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:31:41 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:31:41 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:31:41 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:31:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:31:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:31:41 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:31:41 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:31:41 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:31:41 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:31:41 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:31:41 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:31:41 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:31:41 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:31:41 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:31:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:31:41 INFO WorkspaceExplorerServiceImpl:188 - end time - 114 msc 0 sec 2016-04-21 20:31:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:31:41 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29 2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:31:41 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:31:41 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:31:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 26 ms 2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29 2016-04-21 20:31:41 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:31:41 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:31:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 21 ms 2016-04-21 20:31:41 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:31:41 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:31:41 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:31:41 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29 2016-04-21 20:31:41 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29 2016-04-21 20:31:41 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:31:41 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:31:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29 2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29 2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 29 2016-04-21 20:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:31:42 INFO WorkspaceExplorerServiceImpl:188 - end time - 243 msc 0 sec 2016-04-21 20:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:31:43 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:31:43 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:31:43 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:31:43 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:31:43 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:31:43 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:31:43 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:31:43 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:31:43 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:31:43 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:31:43 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:31:43 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:31:43 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:31:43 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:31:43 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:31:43 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:31:43 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:31:43 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:31:43 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:31:43 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:31:43 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:31:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:31:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:31:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:31:43 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:31:43 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:31:43 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:31:43 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:31:43 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:31:43 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:31:43 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:31:43 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:31:43 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:31:43 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:31:43 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:31:43 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:31:43 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:31:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:31:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:31:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:31:43 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:31:43 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:31:43 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:31:43 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:31:43 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:31:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:31:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:31:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:31:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:31:43 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:31:43 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:31:43 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:31:43 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:31:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:31:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:31:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:31:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:31:43 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:31:43 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:31:43 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:31:43 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:31:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:31:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:31:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:31:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:31:43 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:31:43 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 20:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:31:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:31:43 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:31:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:31:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:31:43 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:31:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:31:43 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:31:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:31:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:31:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:31:43 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:31:43 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:31:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:31:43 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:31:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:31:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:31:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:31:44 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 20:31:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:31:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:31:44 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:31:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:31:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:31:44 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:31:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:31:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:31:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:31:44 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:31:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:31:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:31:44 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:31:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:31:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:31:44 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:31:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:31:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:31:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:31:44 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:31:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:31:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:31:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:31:44 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:31:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:31:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:31:44 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:31:44 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:31:44 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:31:44 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:31:44 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:31:44 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:31:44 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:31:44 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:31:44 INFO WorkspaceExplorerServiceImpl:142 - end time - 216 msc 0 sec 2016-04-21 20:31:44 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:32:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:32:33 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:33:31 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:33:31 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:33:31 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:33:31 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:33:31 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:33:31 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:33:31 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:33:31 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@3852930d 2016-04-21 20:33:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:33:31 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:33:31 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:33:31 DEBUG TemplateModel:83 - 2016-04-21 20:33:31, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:33:31 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:33:31 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:33:32 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 134 ms 2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:33:32 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:33:32 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:33:32 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:33:32 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:33:32 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@2b45cf3d 2016-04-21 20:33:32 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@3155a123 2016-04-21 20:33:32 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@1fc6bdea 2016-04-21 20:33:32 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@449590df 2016-04-21 20:33:32 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 98 ms 2016-04-21 20:33:32 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:33:32 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:33:32 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:33:32 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:33:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:33:32 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:33:32 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:33:32 DEBUG TemplateModel:83 - 2016-04-21 20:33:32, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:33:32 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:33:32 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:33:32 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:33:32 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:33:32 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:33:32 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:33:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:33:32 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:33:32 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:33:32 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:33:32 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:33:32 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:33:32 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:33:32 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:33:32 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:33:32 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:33:32 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:33:32 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:33:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32 2016-04-21 20:33:33 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:33:33 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:33:33 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 72 ms 2016-04-21 20:33:33 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:33:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:33:33 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:33:33 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:33:33 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:33:33 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:33:33 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:33:34 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:33:34 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:33:34 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:33:34 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:33:34 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:33:34 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:33:34 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:33:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:33:34 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:33:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:33:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:33:34 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:33:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:33:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:33:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:33:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:33:34 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:33:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:33:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:33:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:33:34 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:33:34 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:33:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:33:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:33:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:33:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:33:34 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:33:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:33:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:33:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:33:34 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:33:35 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:33:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:33:35 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:33:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:33:35 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:33:35 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:33:35 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:33:35 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:33:35 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:33:35 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:33:35 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:33:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:33:35 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:33:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:33:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:33:35 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:33:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:33:35 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:33:35 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:33:35 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:33:35 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:33:35 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:33:35 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:33:35 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:33:35 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:33:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:33:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:33:35 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:33:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:33:35 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:33:35 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:33:35 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:33:35 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:33:35 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:33:35 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:33:35 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:33:35 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:33:35 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:33:35 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:33:35 INFO WorkspaceExplorerServiceImpl:188 - end time - 124 msc 0 sec 2016-04-21 20:33:35 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:33:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:33:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:33:35 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:33:35 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:33:35 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 20 ms 2016-04-21 20:33:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:33:36 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:33:36 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:33:36 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 34 ms 2016-04-21 20:33:36 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:33:36 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:33:36 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:33:36 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:33:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:33:36 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:33:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:33:36 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:33:36 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:33:36 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-21 20:33:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:33:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:33:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:33:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:33:36 INFO WorkspaceExplorerServiceImpl:188 - end time - 247 msc 0 sec 2016-04-21 20:33:37 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:33:37 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:33:37 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:33:37 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:33:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:33:37 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:33:37 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:33:37 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 24 ms 2016-04-21 20:33:37 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:33:37 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:33:37 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:33:37 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:33:38 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:33:38 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:33:41 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:33:41 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:33:41 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:33:41 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:33:41 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:33:41 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:33:41 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:33:41 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:33:41 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:33:41 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:33:41 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:33:41 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:33:41 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:33:41 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:33:41 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:33:41 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:33:41 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:33:41 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:33:41 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:33:41 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:33:41 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:33:41 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:33:41 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:33:41 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:33:41 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:33:41 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:33:41 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:33:41 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:33:41 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:33:41 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:33:41 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:33:41 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:33:41 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:33:41 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:33:41 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:33:41 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:33:41 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:33:41 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:33:41 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:33:41 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:33:41 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:33:41 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:33:41 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:33:41 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:33:41 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:33:41 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:33:41 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:33:41 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:33:41 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:33:41 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:33:41 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:33:41 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:33:41 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:33:41 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:33:41 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:33:41 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:33:41 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:33:41 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:33:41 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:33:41 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:33:41 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:33:41 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:33:41 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:33:41 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:33:41 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:33:41 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:33:41 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:33:41 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:33:41 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:33:41 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:33:41 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:33:41 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:33:41 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:33:41 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:33:41 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:33:41 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:33:41 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:33:41 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:33:41 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:33:41 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:33:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:33:41 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:33:41 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:33:41 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:33:41 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:33:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:33:41 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:33:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:33:41 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:33:41 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:33:41 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:33:41 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:33:41 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:33:41 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:33:41 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:33:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:33:41 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:33:41 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:33:41 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:33:41 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:33:41 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:33:41 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:33:41 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:33:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:33:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:33:41 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:33:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:33:41 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:33:41 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:33:41 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:33:42 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:33:42 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:33:42 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:33:42 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:33:42 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:33:42 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:33:42 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:33:42 INFO WorkspaceExplorerServiceImpl:142 - end time - 192 msc 0 sec 2016-04-21 20:33:42 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:34:42 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:34:42 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:34:42 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:34:42 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:34:42 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:34:42 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:34:42 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:34:42 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@2cbe1f9b 2016-04-21 20:34:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:34:42 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:34:42 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:34:42 DEBUG TemplateModel:83 - 2016-04-21 20:34:42, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:34:42 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:34:42 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:34:42 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 143 ms 2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:34:42 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:34:42 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:34:42 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:34:42 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:34:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@32a6fdd4 2016-04-21 20:34:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@2f59d068 2016-04-21 20:34:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@2c277bb3 2016-04-21 20:34:42 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@46806da5 2016-04-21 20:34:42 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 112 ms 2016-04-21 20:34:42 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:34:42 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:34:42 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:34:42 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:34:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:34:42 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:34:42 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:34:42 DEBUG TemplateModel:83 - 2016-04-21 20:34:42, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:34:42 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:34:42 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:34:42 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:34:43 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:34:43 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:34:43 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:34:43 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:34:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:34:43 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:34:43 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:34:43 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 17 ms 2016-04-21 20:34:43 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:34:43 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:34:43 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:34:43 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:34:43 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:34:43 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:34:43 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:34:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:34:43 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:34:43 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:34:43 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:34:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:34:43 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:34:43 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:34:43 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:34:43 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:34:43 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:34:43 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:34:43 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:34:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:34:43 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:34:43 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:34:43 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 21 ms 2016-04-21 20:34:43 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:34:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:34:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:34:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:34:43 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:34:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:34:43 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:34:43 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:34:43 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:34:43 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:34:43 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:34:43 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:34:44 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:34:44 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:34:44 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:34:44 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:34:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:34:44 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:34:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:34:45 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:34:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:34:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:34:45 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:34:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:34:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:34:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:34:45 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:34:45 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:34:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:34:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:34:45 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:34:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:34:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:34:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:34:45 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:34:45 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:34:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:34:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:34:45 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:34:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:34:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:34:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:34:45 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:34:45 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:34:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:34:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:34:46 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:34:46 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:34:46 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:34:46 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:34:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:34:46 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:34:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:34:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:34:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:34:46 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:34:46 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:34:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:34:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:34:46 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:34:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:34:46 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:34:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:34:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:34:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:34:46 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:34:46 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:34:46 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:34:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:34:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:34:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 106 msc 0 sec 2016-04-21 20:34:46 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:34:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:34:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:34:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 39 ms 2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:34:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:34:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:34:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 19 ms 2016-04-21 20:34:46 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:34:46 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:34:46 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:34:46 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:34:46 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:34:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:34:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:34:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 20 ms 2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:34:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:34:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 253 msc 0 sec 2016-04-21 20:34:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:34:49 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:34:49 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:34:49 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:34:49 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:34:49 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:34:50 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:34:50 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:34:50 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:34:50 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:34:50 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:34:50 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:34:50 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:34:50 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:34:50 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:34:50 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:34:50 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:34:50 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:34:50 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:34:50 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:34:50 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:34:50 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:34:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:34:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:34:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:34:50 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:34:50 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:34:50 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:34:50 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:34:50 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:34:50 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:34:50 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:34:50 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:34:50 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:34:50 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:34:50 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:34:50 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:34:50 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:34:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:34:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:34:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:34:50 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:34:50 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:34:50 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:34:50 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:34:50 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:34:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:34:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:34:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:34:50 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:34:50 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:34:50 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:34:50 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:34:50 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:34:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:34:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:34:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:34:50 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:34:50 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:34:50 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:34:50 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:34:50 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:34:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:34:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:34:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:34:50 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:34:50 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:34:50 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:34:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:34:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:34:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:34:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:34:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:34:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:34:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:34:50 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:34:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:34:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:34:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:34:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:34:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:34:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:34:50 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:34:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:34:50 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:34:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:34:50 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:34:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:34:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:34:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:34:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:34:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:34:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:34:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:34:50 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:34:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:34:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:34:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:34:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:34:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:34:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:34:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:34:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:34:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:34:50 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:34:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:34:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:34:50 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:34:50 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:34:50 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:34:50 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:34:50 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:34:50 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:34:50 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:34:50 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:34:50 INFO WorkspaceExplorerServiceImpl:142 - end time - 208 msc 0 sec 2016-04-21 20:34:50 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:35:57 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:35:57 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:35:57 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:35:57 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:35:57 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:35:57 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:35:57 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:35:57 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@11ccefa8 2016-04-21 20:35:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:35:57 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:35:57 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:35:57 DEBUG TemplateModel:83 - 2016-04-21 20:35:57, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:35:57 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:35:57 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:35:57 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 121 ms 2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:35:57 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:35:57 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:35:57 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:35:57 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:35:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@49e8d43f 2016-04-21 20:35:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@4ef506bf 2016-04-21 20:35:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@1e25750e 2016-04-21 20:35:57 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@284fb880 2016-04-21 20:35:57 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 125 ms 2016-04-21 20:35:57 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:35:57 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:35:57 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:35:57 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:35:57 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:35:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:35:57 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:35:57 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:35:57 DEBUG TemplateModel:83 - 2016-04-21 20:35:57, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:35:57 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:35:57 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:35:57 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:35:57 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:35:57 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:35:57 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:35:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:35:57 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:35:57 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:35:57 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 25 ms 2016-04-21 20:35:57 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:35:57 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:35:57 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:35:57 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:35:58 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:35:58 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:35:58 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:35:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:35:58 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:35:58 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:35:58 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:35:58 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:35:58 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:35:58 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:35:58 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:35:58 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:35:58 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:35:58 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:35:58 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:35:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:35:58 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:35:58 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:35:58 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 21 ms 2016-04-21 20:35:58 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:35:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:35:58 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:35:58 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:35:58 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:35:58 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:35:58 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:35:58 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:35:58 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:35:58 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:35:58 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:35:58 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:35:59 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:35:59 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:35:59 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:35:59 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:35:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:35:59 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:35:59 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:35:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:35:59 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:35:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:35:59 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:35:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:35:59 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:35:59 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:35:59 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:35:59 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:35:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:35:59 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:35:59 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:35:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:35:59 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:35:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:35:59 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:35:59 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:35:59 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:35:59 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:35:59 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:35:59 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:35:59 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:35:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:35:59 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:35:59 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:36:00 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:36:00 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:36:00 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:36:00 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:36:00 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:36:00 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:36:00 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:36:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:36:00 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:36:00 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:36:01 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:36:01 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:36:01 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:36:01 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:36:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:36:01 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:36:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:36:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:36:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:36:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:36:01 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:36:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:36:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:36:01 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:36:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:36:01 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:36:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:36:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:36:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:36:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:36:01 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:36:01 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:36:01 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:36:01 INFO WorkspaceExplorerServiceImpl:188 - end time - 116 msc 0 sec 2016-04-21 20:36:01 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:36:01 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:36:01 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:36:01 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:36:01 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 27 ms 2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:36:01 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:36:01 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:36:01 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms 2016-04-21 20:36:01 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:36:01 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:36:01 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:36:01 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:36:01 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:36:01 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:36:01 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:36:01 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms 2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:36:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:36:01 INFO WorkspaceExplorerServiceImpl:188 - end time - 245 msc 0 sec 2016-04-21 20:36:02 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:36:02 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:36:02 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:36:02 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:36:02 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:36:02 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:36:03 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:36:03 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:36:03 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:36:03 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:36:03 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:36:03 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:36:03 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:36:03 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:36:03 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:36:03 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:36:03 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:36:03 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:36:03 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:36:03 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:36:03 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:36:03 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:36:03 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:36:03 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:36:03 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:36:03 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:36:03 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:36:03 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:36:03 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:36:03 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:36:03 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:36:03 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:36:03 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:36:03 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:36:03 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:36:03 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:36:03 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:36:03 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:36:03 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:36:03 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:36:03 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:36:03 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:36:03 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:36:03 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:36:03 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:36:03 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:36:03 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:36:03 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:36:03 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:36:03 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:36:03 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:36:03 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:36:03 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:36:03 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:36:03 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:36:03 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:36:03 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:36:03 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:36:03 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:36:03 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:36:03 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:36:03 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:36:03 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:36:03 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:36:03 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:36:03 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:36:03 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:36:03 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:36:03 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:36:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:36:03 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:36:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:36:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:36:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:36:03 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:36:03 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:36:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:36:03 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:36:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:36:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:36:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:36:03 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:36:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:36:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:36:03 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:36:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:36:03 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:36:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:36:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:36:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:36:03 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:36:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:36:03 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:36:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:36:03 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:36:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:36:03 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:36:03 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:36:03 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:36:03 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:36:03 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:36:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:36:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:36:03 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:36:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:36:03 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:36:03 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:36:03 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:36:03 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:36:03 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:36:03 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:36:03 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:36:03 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:36:03 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:36:03 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:36:03 INFO WorkspaceExplorerServiceImpl:142 - end time - 213 msc 0 sec 2016-04-21 20:36:03 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:36:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:36:52 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:38:10 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:38:10 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:38:10 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:38:10 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:38:10 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:38:10 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:38:10 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:38:10 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@9c69ba9 2016-04-21 20:38:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:38:10 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:38:10 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:38:10 DEBUG TemplateModel:83 - 2016-04-21 20:38:10, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:38:10 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:38:10 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:38:11 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 124 ms 2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:38:11 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:38:11 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:38:11 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:38:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:38:11 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@43df2c2 2016-04-21 20:38:11 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@74ac138d 2016-04-21 20:38:11 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@20a2d751 2016-04-21 20:38:11 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@11bd3d47 2016-04-21 20:38:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 126 ms 2016-04-21 20:38:11 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:38:11 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:38:11 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:38:11 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:38:11 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:38:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:38:11 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:38:11 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:38:11 DEBUG TemplateModel:83 - 2016-04-21 20:38:11, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:38:11 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:38:11 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:38:11 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:38:11 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:38:11 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:38:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:38:11 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:38:11 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:38:11 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:38:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:38:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:38:11 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:38:11 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:38:11 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:38:11 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:38:11 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:38:11 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:38:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:38:12 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:38:12 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:38:12 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 25 ms 2016-04-21 20:38:12 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:38:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:38:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:38:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:38:12 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:38:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:38:12 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:38:12 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:38:12 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:38:12 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:38:12 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:38:12 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:38:12 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:38:12 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:38:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:38:12 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:38:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:38:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:38:12 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:38:12 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:38:12 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:38:12 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:38:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:38:12 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:38:12 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:38:12 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:38:12 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 24 ms 2016-04-21 20:38:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:38:12 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:38:12 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:38:12 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:38:12 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:38:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:38:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:38:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:38:12 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:38:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:38:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:38:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:38:12 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:38:12 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:38:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:38:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:38:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:38:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:38:12 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:38:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:38:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:38:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:38:12 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:38:12 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:38:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:38:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:38:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:38:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:38:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:38:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:38:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:38:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:38:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:38:13 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:38:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:38:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:38:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:38:13 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:38:13 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:38:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:38:13 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:38:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:38:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:38:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:38:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:38:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:38:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:38:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:38:13 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:38:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:38:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:38:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:38:13 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:38:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:38:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:38:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:38:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:38:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:38:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:38:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:38:13 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:38:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:38:13 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:38:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:38:13 INFO WorkspaceExplorerServiceImpl:188 - end time - 169 msc 0 sec 2016-04-21 20:38:13 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:38:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:38:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:38:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:38:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:38:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-21 20:38:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:38:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:38:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:38:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms 2016-04-21 20:38:14 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:38:14 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:38:14 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:38:14 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:38:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:38:14 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:38:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:38:14 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:38:14 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:38:14 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms 2016-04-21 20:38:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:38:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:38:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:38:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:38:14 INFO WorkspaceExplorerServiceImpl:188 - end time - 237 msc 0 sec 2016-04-21 20:38:18 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:38:18 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:38:18 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:38:18 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:38:18 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:38:18 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:38:18 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:38:18 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:38:18 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:38:18 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:38:18 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:38:18 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:38:18 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:38:18 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:38:18 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:38:18 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:38:18 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:38:18 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:38:18 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:38:18 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:38:18 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:38:18 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:38:18 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:38:18 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:38:18 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:38:18 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:38:18 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:38:18 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:38:18 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:38:18 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:38:18 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:38:18 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:38:18 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:38:18 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:38:18 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:38:18 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:38:18 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:38:18 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:38:18 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:38:18 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:38:18 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:38:18 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:38:18 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:38:18 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:38:18 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:38:18 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:38:18 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:38:18 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:38:18 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:38:18 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:38:18 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:38:18 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:38:18 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:38:18 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:38:18 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:38:18 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:38:18 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:38:18 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:38:18 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:38:18 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:38:18 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:38:18 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:38:18 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:38:18 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:38:18 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:38:18 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:38:18 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:38:18 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:38:18 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:38:18 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:38:18 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:38:18 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:38:18 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:38:18 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:38:18 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:38:18 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:38:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:38:18 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:38:18 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:38:18 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:38:18 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:38:18 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:38:18 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:38:18 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:38:18 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:38:18 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:38:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:38:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:38:18 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:38:18 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:38:18 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:38:18 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:38:18 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:38:18 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:38:18 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:38:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:38:18 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:38:18 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:38:18 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:38:18 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:38:18 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:38:18 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:38:18 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:38:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:38:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:38:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:38:18 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:38:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:38:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:38:18 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:38:18 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:38:18 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:38:18 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:38:18 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:38:18 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:38:18 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:38:18 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:38:18 INFO WorkspaceExplorerServiceImpl:142 - end time - 251 msc 0 sec 2016-04-21 20:38:18 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:39:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:39:06 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:40:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:40:01 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:40:41 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:40:41 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:40:41 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:40:41 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:40:41 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:40:41 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:40:41 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:40:41 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@63cc041a 2016-04-21 20:40:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:40:41 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:40:41 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:40:41 DEBUG TemplateModel:83 - 2016-04-21 20:40:41, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:40:41 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:40:41 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:40:41 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 127 ms 2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:40:41 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:40:41 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:40:41 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:40:41 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:40:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@43a03935 2016-04-21 20:40:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@3217de92 2016-04-21 20:40:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@13029b1a 2016-04-21 20:40:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@20a23c86 2016-04-21 20:40:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 103 ms 2016-04-21 20:40:41 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:40:42 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:40:42 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:40:42 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:40:42 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:40:42 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:40:42 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:40:42 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:40:42 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:40:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:40:42 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:40:42 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:40:42 DEBUG TemplateModel:83 - 2016-04-21 20:40:42, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:40:42 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:40:42 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:40:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:40:42 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:40:42 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:40:42 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 21 ms 2016-04-21 20:40:42 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:40:42 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:40:42 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:40:42 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:40:42 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:40:42 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:40:42 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:40:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:40:42 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:40:42 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:40:42 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:40:42 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:40:42 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:40:42 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:40:42 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:40:42 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:40:42 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:40:42 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:40:42 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:40:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:40:42 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:40:42 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:40:42 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 22 ms 2016-04-21 20:40:42 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:40:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:40:42 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:40:42 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:40:42 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:40:42 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:40:42 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:40:42 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:40:43 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:40:43 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:40:43 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:40:43 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:40:43 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:40:43 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:40:43 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:40:43 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:40:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:40:43 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:40:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:40:43 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:40:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:40:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:40:43 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:40:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:40:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:40:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:40:43 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:40:43 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:40:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:40:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:40:43 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:40:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:40:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:40:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:40:43 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:40:43 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:40:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:40:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:40:43 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:40:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:40:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:40:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:40:43 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:40:43 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:40:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:40:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:40:45 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:40:45 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:40:45 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:40:45 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:40:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:40:45 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:40:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:40:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:40:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:40:45 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:40:45 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:40:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:40:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:40:45 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:40:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:40:45 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:40:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:40:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:40:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:40:45 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:40:45 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:40:45 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:40:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:40:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:40:45 INFO WorkspaceExplorerServiceImpl:188 - end time - 115 msc 0 sec 2016-04-21 20:40:45 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:40:45 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:40:45 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:40:45 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 40 ms 2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:40:45 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:40:45 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:40:45 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 19 ms 2016-04-21 20:40:45 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:40:45 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:40:45 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:40:45 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:40:45 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:40:45 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:40:45 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:40:45 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms 2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:40:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:40:45 INFO WorkspaceExplorerServiceImpl:188 - end time - 246 msc 0 sec 2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:40:47 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:40:47 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:40:47 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:40:47 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:40:47 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:40:47 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:40:47 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:40:47 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:40:47 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:40:47 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:40:47 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:40:47 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:40:47 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:40:47 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:40:47 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:40:47 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:40:47 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:40:47 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:40:47 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:40:47 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:40:47 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:40:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:40:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:40:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:40:47 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:40:47 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:40:47 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:40:47 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:40:47 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:40:47 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:40:47 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:40:47 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:40:47 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:40:47 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:40:47 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:40:47 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:40:47 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:40:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:40:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:40:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:40:47 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:40:47 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:40:47 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:40:47 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:40:47 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:40:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:40:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:40:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:40:47 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:40:47 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:40:47 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:40:47 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:40:47 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:40:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:40:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:40:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:40:47 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:40:47 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:40:47 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:40:47 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:40:47 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:40:47 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:40:47 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:40:47 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:40:47 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:40:47 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:40:47 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:40:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:40:47 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:40:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:40:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:40:47 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:40:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:40:47 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:40:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:40:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:40:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:40:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:40:47 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:40:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:40:47 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:40:47 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:40:47 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:40:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:40:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:40:47 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:40:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:40:47 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:40:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:40:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:40:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:40:47 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:40:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:40:47 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:40:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:40:47 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:40:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:40:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:40:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:40:47 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:40:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:40:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:40:47 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:40:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:40:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:40:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:40:47 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:40:47 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:40:47 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:40:48 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:40:48 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:40:48 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:40:48 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:40:48 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:40:48 INFO WorkspaceExplorerServiceImpl:142 - end time - 209 msc 0 sec 2016-04-21 20:40:48 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:41:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:41:37 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:42:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:42:32 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:43:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:43:27 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:44:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:44:22 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:45:03 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:45:03 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:45:03 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:45:03 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:45:03 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:45:03 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:45:03 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:45:03 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@2acdeb7c 2016-04-21 20:45:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:45:03 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:45:03 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:45:03 DEBUG TemplateModel:83 - 2016-04-21 20:45:03, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:45:03 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:45:03 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:45:03 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 150 ms 2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:45:03 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:45:03 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:45:03 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:45:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:45:04 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@13029b1a 2016-04-21 20:45:04 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@46a1d6fe 2016-04-21 20:45:04 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@54c69a01 2016-04-21 20:45:04 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@388e0e18 2016-04-21 20:45:04 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 120 ms 2016-04-21 20:45:04 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:45:04 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:45:04 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:45:04 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 20:45:04 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:45:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:45:04 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:45:04 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:45:04 DEBUG TemplateModel:83 - 2016-04-21 20:45:04, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:45:04 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:45:04 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:45:04 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:45:04 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:45:04 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:45:04 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:45:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:45:04 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:45:04 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:45:04 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 26 ms 2016-04-21 20:45:04 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:45:04 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:45:04 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:45:04 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:45:04 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:45:04 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:45:04 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:45:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:45:04 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:45:04 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:45:04 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:45:04 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:45:04 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:45:04 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:45:04 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:45:04 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:45:04 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:45:04 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:45:04 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:45:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:45:04 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:45:04 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:45:04 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 21 ms 2016-04-21 20:45:04 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:45:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:45:04 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:45:04 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:45:04 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:45:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:45:04 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:45:05 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:45:05 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:45:05 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:45:05 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:45:05 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:45:05 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:45:05 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:45:05 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:45:05 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:45:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:45:05 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:45:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:45:05 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:45:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:45:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:45:05 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:45:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:45:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:45:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:45:05 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:45:05 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:45:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:45:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:45:05 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:45:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:45:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:45:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:45:05 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:45:05 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:45:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:45:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:45:05 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:45:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:45:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:45:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:45:05 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:45:05 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:45:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:45:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:45:06 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:45:06 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:45:06 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:45:06 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:45:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:45:06 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:45:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:45:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:45:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:45:06 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:45:06 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:45:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:45:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:45:06 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:45:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:45:06 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:45:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:45:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:45:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:45:06 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:45:06 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:45:06 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:45:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:45:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:45:06 INFO WorkspaceExplorerServiceImpl:188 - end time - 141 msc 0 sec 2016-04-21 20:45:06 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:45:06 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:45:06 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:45:06 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 28 ms 2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:45:06 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:45:06 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:45:06 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms 2016-04-21 20:45:06 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:45:06 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:45:06 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:45:06 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:45:06 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:45:06 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:45:06 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:45:06 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:45:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:45:06 INFO WorkspaceExplorerServiceImpl:188 - end time - 237 msc 0 sec 2016-04-21 20:45:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:45:11 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:45:11 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:45:11 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:45:11 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:45:11 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:45:12 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:45:12 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:45:12 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:45:12 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:45:12 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:45:12 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:45:12 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:45:12 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:45:12 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:45:12 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:45:12 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:45:12 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:45:12 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:45:12 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:45:12 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:45:12 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:45:12 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:45:12 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:45:12 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:45:12 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:45:12 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:45:12 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:45:12 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:45:12 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:45:12 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:45:12 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:45:12 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:45:12 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:45:12 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:45:12 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:45:12 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:45:12 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:45:12 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:45:12 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:45:12 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:45:12 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:45:12 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:45:12 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:45:12 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:45:12 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:45:12 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:45:12 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:45:12 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:45:12 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-21 20:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-21 20:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:45:12 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:45:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:45:12 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:45:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:45:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:45:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:45:12 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:45:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:45:12 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:45:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:45:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:45:12 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:45:12 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:45:12 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:45:12 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:45:12 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:45:12 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:45:12 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:45:12 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:45:12 INFO WorkspaceExplorerServiceImpl:142 - end time - 228 msc 0 sec 2016-04-21 20:45:12 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:45:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:45:59 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:46:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:46:54 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:47:44 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:47:44 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:47:44 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:47:44 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:47:44 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:47:44 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:47:44 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:47:44 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@71a53b6d 2016-04-21 20:47:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:47:44 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:47:44 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:47:44 DEBUG TemplateModel:83 - 2016-04-21 20:47:44, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:47:44 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:47:44 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:47:44 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 129 ms 2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:47:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:47:44 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:47:44 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:47:45 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:47:45 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@6c9eefb0 2016-04-21 20:47:45 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@69d3ca0f 2016-04-21 20:47:45 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@71628346 2016-04-21 20:47:45 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@9a32199 2016-04-21 20:47:45 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 112 ms 2016-04-21 20:47:45 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:47:45 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:47:45 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:47:45 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:47:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:47:45 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:47:45 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:47:45 DEBUG TemplateModel:83 - 2016-04-21 20:47:45, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:47:45 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:47:45 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:47:45 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:47:45 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:47:45 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:47:45 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:47:45 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:47:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:47:45 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:47:45 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:47:45 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 19 ms 2016-04-21 20:47:45 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:47:45 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:47:45 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:47:45 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:47:45 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:47:45 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:47:45 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:47:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:47:45 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:47:45 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:47:45 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:47:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:47:45 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:47:45 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:47:45 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:47:45 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:47:45 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:47:45 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:47:45 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:47:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 20:47:45 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:47:45 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:47:45 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 21 ms 2016-04-21 20:47:45 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:47:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:47:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:47:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:47:45 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:47:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:47:45 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:47:46 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:47:46 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:47:46 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:47:46 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:47:46 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:47:46 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:47:46 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:47:46 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:47:46 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:47:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:47:46 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:47:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:47:46 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:47:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:47:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:47:46 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:47:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:47:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:47:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:47:46 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:47:46 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:47:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:47:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:47:46 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:47:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:47:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:47:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:47:46 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:47:46 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:47:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:47:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:47:46 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:47:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:47:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:47:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:47:46 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:47:46 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:47:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:47:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:47:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:47:48 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:47:48 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:47:48 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:47:48 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:47:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:47:48 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:47:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:47:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:47:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:47:48 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:47:48 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:47:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:47:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:47:48 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:47:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:47:48 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:47:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:47:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:47:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:47:48 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:47:48 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:47:48 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:47:48 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:47:48 INFO WorkspaceExplorerServiceImpl:188 - end time - 114 msc 0 sec 2016-04-21 20:47:48 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:47:48 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:47:48 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:47:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:47:48 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 24 ms 2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:47:48 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:47:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:47:48 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms 2016-04-21 20:47:48 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:47:48 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:47:48 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:47:48 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:47:48 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:47:48 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:47:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:47:48 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:47:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:47:48 INFO WorkspaceExplorerServiceImpl:188 - end time - 242 msc 0 sec 2016-04-21 20:47:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:47:49 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:47:49 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:47:49 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:47:49 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:47:49 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:47:50 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:47:50 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:47:50 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:47:50 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:47:50 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:47:50 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:47:50 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:47:50 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:47:50 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:47:50 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:47:50 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:47:50 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:47:50 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:47:50 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:47:50 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:47:50 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:47:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:47:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:47:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:47:50 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:47:50 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:47:50 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:47:50 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:47:50 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:47:50 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:47:50 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:47:50 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:47:50 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:47:50 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:47:50 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:47:50 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:47:50 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:47:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:47:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:47:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:47:50 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:47:50 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:47:50 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:47:50 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:47:50 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:47:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:47:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:47:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:47:50 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:47:50 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:47:50 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:47:50 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:47:50 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:47:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:47:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:47:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:47:50 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:47:50 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:47:50 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:47:50 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:47:50 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:47:50 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:47:50 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:47:50 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:47:50 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:47:50 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:47:50 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:47:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:47:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:47:50 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:47:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:47:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:47:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:47:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:47:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:47:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:47:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:47:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:47:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:47:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:47:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:47:50 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:47:50 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:47:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:47:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:47:50 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:47:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:47:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:47:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:47:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:47:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:47:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:47:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:47:50 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:47:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:47:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:47:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:47:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:47:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:47:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:47:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:47:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:47:50 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:47:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:47:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:47:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:47:50 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:47:50 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:47:50 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:47:50 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:47:50 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:47:50 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:47:50 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:47:50 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:47:50 INFO WorkspaceExplorerServiceImpl:142 - end time - 220 msc 0 sec 2016-04-21 20:47:50 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:48:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:48:40 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:49:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:49:35 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:50:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:50:30 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:51:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:51:25 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:52:04 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:52:05 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:52:05 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:52:05 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:52:05 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:52:05 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:52:05 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:52:05 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@67217a25 2016-04-21 20:52:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:52:05 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:52:05 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:52:05 DEBUG TemplateModel:83 - 2016-04-21 20:52:05, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:52:05 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:52:05 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:52:05 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 157 ms 2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:52:05 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:52:05 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:52:05 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:52:05 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:52:05 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@7577ec6d 2016-04-21 20:52:05 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@4363d430 2016-04-21 20:52:05 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@5214bbe0 2016-04-21 20:52:05 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@30f14e37 2016-04-21 20:52:05 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 124 ms 2016-04-21 20:52:05 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:52:05 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:52:05 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:52:05 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:52:05 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:52:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:52:05 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:52:05 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:52:05 DEBUG TemplateModel:83 - 2016-04-21 20:52:05, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:52:05 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:52:05 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:52:05 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:52:05 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:52:05 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:52:05 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:52:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:52:05 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:52:05 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:52:05 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 17 ms 2016-04-21 20:52:05 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:52:05 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:52:05 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:52:05 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:52:06 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:52:06 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:52:06 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:52:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:52:06 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:52:06 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:52:06 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:52:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:52:06 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:52:06 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:52:06 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:52:06 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:52:06 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:52:06 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:52:06 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:52:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 20:52:06 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:52:06 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:52:06 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 23 ms 2016-04-21 20:52:06 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:52:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:52:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:52:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:52:06 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:52:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:52:06 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:52:06 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:52:06 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:52:06 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:52:06 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:52:06 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:52:06 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:52:06 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:52:06 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:52:06 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:52:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:52:06 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:52:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:52:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:52:06 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:52:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:52:07 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:52:07 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:52:07 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:52:07 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:52:07 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:52:07 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:52:07 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:52:07 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:52:07 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:52:07 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:52:07 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:52:07 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:52:07 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:52:07 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:52:07 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:52:07 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:52:07 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:52:07 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:52:07 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:52:07 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:52:07 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:52:07 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:52:07 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:52:07 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:52:07 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:52:07 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:52:07 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:52:07 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:52:07 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:52:07 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:52:07 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:52:07 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:52:08 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:52:08 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:52:08 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:52:08 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:52:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:52:08 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:52:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:52:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:52:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:52:08 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:52:08 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:52:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:52:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:52:08 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:52:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:52:08 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:52:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:52:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:52:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:52:08 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:52:08 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:52:08 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:52:08 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:52:08 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:52:08 INFO WorkspaceExplorerServiceImpl:188 - end time - 117 msc 0 sec 2016-04-21 20:52:08 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:52:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:52:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:52:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms 2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:52:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:52:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:52:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms 2016-04-21 20:52:08 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:52:08 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:52:08 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:52:08 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:52:08 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:52:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:52:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:52:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:52:09 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms 2016-04-21 20:52:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:52:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:52:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:52:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:52:09 INFO WorkspaceExplorerServiceImpl:188 - end time - 227 msc 0 sec 2016-04-21 20:52:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:52:10 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:52:10 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:52:10 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:52:10 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:52:10 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:52:10 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:52:10 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:52:10 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:52:10 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:52:10 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:52:10 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:52:10 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:52:10 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:52:10 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:52:10 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:52:10 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:52:10 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:52:10 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:52:10 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:52:10 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:52:10 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:52:10 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:52:10 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:52:10 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:52:10 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:52:10 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:52:10 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:52:10 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:52:10 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:52:10 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:52:10 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:52:10 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:52:10 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:52:10 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:52:10 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:52:10 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:52:10 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:52:10 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:52:10 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:52:10 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:52:10 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:52:10 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:52:10 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:52:10 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:52:10 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:52:10 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:52:10 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:52:10 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:52:10 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:52:10 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:52:10 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:52:10 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:52:10 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:52:10 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:52:10 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:52:10 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:52:10 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:52:10 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:52:10 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:52:10 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:52:10 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:52:10 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:52:10 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:52:10 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:52:10 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:52:10 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:52:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:52:10 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:52:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:52:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:52:10 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:52:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:52:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:52:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:52:10 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:52:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:52:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:52:10 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:52:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:52:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:52:10 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:52:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:52:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:52:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:52:10 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:52:10 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:52:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:52:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:52:11 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:52:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:52:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:52:11 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:52:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:52:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:52:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:52:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:52:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:52:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:52:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:52:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:52:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:52:11 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:52:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:52:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:52:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:52:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:52:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:52:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:52:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:52:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:52:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:52:11 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:52:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:52:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:52:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:52:11 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:52:11 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:52:11 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:52:11 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:52:11 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:52:11 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:52:11 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:52:11 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:52:11 INFO WorkspaceExplorerServiceImpl:142 - end time - 205 msc 0 sec 2016-04-21 20:52:11 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:53:07 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:53:07 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:53:07 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:53:07 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:53:07 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:53:07 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:53:07 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:53:07 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@1b33685e 2016-04-21 20:53:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:53:07 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:53:07 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:53:07 DEBUG TemplateModel:83 - 2016-04-21 20:53:07, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:53:07 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:53:07 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:53:07 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 132 ms 2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:53:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:53:07 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:53:07 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:53:07 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:53:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@1702737c 2016-04-21 20:53:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@2a7c6f93 2016-04-21 20:53:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@300dfbce 2016-04-21 20:53:07 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@ec177ca 2016-04-21 20:53:07 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 117 ms 2016-04-21 20:53:07 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:53:08 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:53:08 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:53:08 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:53:08 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:53:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:53:08 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:53:08 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:53:08 DEBUG TemplateModel:83 - 2016-04-21 20:53:08, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:53:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:53:08 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:53:08 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:53:08 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:53:08 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:53:08 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:53:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:53:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:53:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:53:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 27 ms 2016-04-21 20:53:08 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:53:08 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:53:08 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:53:08 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:53:08 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:53:08 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:53:08 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:53:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:53:08 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:53:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:53:08 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:53:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:53:08 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:53:08 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:53:08 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:53:08 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:53:08 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:53:08 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:53:08 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:53:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:53:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:53:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:53:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 20 ms 2016-04-21 20:53:08 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:53:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:53:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:53:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:53:08 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:53:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:53:08 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:53:08 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:53:08 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:53:09 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:53:09 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:53:09 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:53:09 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:53:09 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:53:09 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:53:09 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:53:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:53:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:53:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:53:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:53:09 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:53:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:53:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:53:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:53:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:53:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:53:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:53:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:53:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:53:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:53:09 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:53:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:53:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:53:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:53:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:53:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:53:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:53:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:53:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:53:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:53:09 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:53:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:53:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:53:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:53:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:53:10 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:53:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:53:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:53:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:53:10 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:53:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:53:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:53:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:53:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:53:11 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:53:11 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:53:11 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:53:11 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:53:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:53:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:53:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:53:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:53:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:53:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:53:11 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:53:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:53:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:53:11 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:53:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:53:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:53:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:53:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:53:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:53:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:53:11 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:53:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:53:11 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:53:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:53:11 INFO WorkspaceExplorerServiceImpl:188 - end time - 128 msc 0 sec 2016-04-21 20:53:11 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:53:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:53:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:53:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 226 ms 2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:53:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:53:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:53:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms 2016-04-21 20:53:11 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:53:11 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:53:11 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:53:11 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:53:11 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:53:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:53:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:53:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms 2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 20:53:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:53:11 INFO WorkspaceExplorerServiceImpl:188 - end time - 445 msc 0 sec 2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:53:13 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:53:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:53:13 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:53:13 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:53:13 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:53:13 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:53:13 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:53:13 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:53:13 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:53:13 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:53:13 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:53:13 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:53:13 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:53:13 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:53:13 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:53:13 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:53:13 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:53:13 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:53:13 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:53:13 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:53:13 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:53:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:53:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:53:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:53:13 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:53:13 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:53:13 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:53:13 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:53:13 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:53:13 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:53:13 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:53:13 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:53:13 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:53:13 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:53:13 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:53:13 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:53:13 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:53:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:53:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:53:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:53:13 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:53:13 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:53:13 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:53:13 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:53:13 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:53:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:53:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:53:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:53:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:53:13 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:53:13 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:53:13 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:53:13 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:53:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:53:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:53:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:53:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:53:13 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:53:13 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:53:13 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:53:13 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:53:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:53:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:53:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:53:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:53:13 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:53:13 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:53:13 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:53:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:53:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:53:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:53:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:53:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:53:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:53:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:53:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:53:13 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:53:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:53:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:53:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:53:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:53:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:53:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:53:13 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:53:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:53:13 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:53:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:53:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:53:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:53:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:53:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:53:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:53:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:53:13 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:53:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:53:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:53:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:53:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:53:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:53:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:53:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:53:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 20:53:13 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 20:53:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:53:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:53:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:53:13 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:53:13 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:53:13 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:53:14 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:53:14 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:53:14 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:53:14 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:53:14 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:53:14 INFO WorkspaceExplorerServiceImpl:142 - end time - 194 msc 0 sec 2016-04-21 20:53:14 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:54:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:54:03 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:57:16 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 20:57:16 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 20:57:16 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 20:57:16 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:57:16 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:57:16 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 20:57:16 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:57:16 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@6f1e684a 2016-04-21 20:57:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:57:16 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:57:16 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:57:16 DEBUG TemplateModel:83 - 2016-04-21 20:57:16, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:57:16 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:57:17 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:57:17 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 152 ms 2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 20:57:17 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 20:57:17 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 20:57:17 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:57:18 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 20:57:18 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 20:57:18 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 20:57:18 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:57:18 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 20:57:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:57:18 INFO ASLSession:352 - Logging the entrance 2016-04-21 20:57:18 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 20:57:18 DEBUG TemplateModel:83 - 2016-04-21 20:57:18, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 20:57:18 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:57:18 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 20:57:18 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@12410fff 2016-04-21 20:57:18 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@6393524e 2016-04-21 20:57:18 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@4975828e 2016-04-21 20:57:18 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@6b9da734 2016-04-21 20:57:18 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 385 ms 2016-04-21 20:57:18 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 20:57:18 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:57:18 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:57:18 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:57:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:57:18 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 20:57:18 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:57:18 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 20:57:18 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:57:18 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:57:18 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 20:57:18 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 20:57:18 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 20:57:18 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 20:57:18 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 20:57:18 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 20:57:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-21 20:57:18 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:57:18 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 20:57:18 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 20:57:18 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 20:57:18 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 20:57:18 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 20:57:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 20:57:18 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:57:18 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 22 ms 2016-04-21 20:57:18 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 20:57:18 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 23 ms 2016-04-21 20:57:18 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 20:57:18 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:57:18 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 20:57:18 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:57:19 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 20:57:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:57:19 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:57:19 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:57:19 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 20:57:19 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:57:19 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 20:57:19 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:57:19 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:57:19 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 20:57:19 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:57:19 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 20:57:20 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 20:57:20 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 20:57:20 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 20:57:20 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 20:57:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:57:20 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:57:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:57:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:57:20 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 20:57:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 20:57:20 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:57:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:57:20 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:57:20 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:57:20 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:57:20 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:57:20 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:57:20 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:57:20 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:57:20 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 20:57:21 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:57:21 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:57:21 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:57:21 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:57:21 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:57:21 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:57:21 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:57:21 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:57:21 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:57:21 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 20:57:21 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:57:21 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:57:21 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:57:21 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:57:21 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:57:21 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:57:21 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:57:21 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:57:21 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 20:57:21 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 20:57:21 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:57:21 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:57:22 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 20:57:22 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 20:57:22 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 20:57:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:57:22 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:57:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:57:22 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:57:22 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:57:22 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:57:22 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:57:22 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:57:22 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:57:22 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 20:57:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:57:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:57:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:57:22 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:57:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:57:22 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:57:22 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:57:22 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:57:22 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:57:22 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:57:22 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:57:22 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 20:57:22 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:57:22 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:57:22 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 20:57:22 INFO WorkspaceExplorerServiceImpl:188 - end time - 216 msc 0 sec 2016-04-21 20:57:23 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:57:23 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:57:23 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:57:23 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 28 ms 2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:57:23 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:57:23 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 20:57:23 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms 2016-04-21 20:57:23 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 20:57:23 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 20:57:23 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 20:57:23 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:57:23 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:57:23 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 20:57:23 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 20:57:23 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms 2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:57:23 INFO WorkspaceExplorerServiceImpl:188 - end time - 272 msc 0 sec 2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:57:23 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:57:23 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 20:57:23 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 20:57:23 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:57:23 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 20:57:23 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:57:23 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 20:57:23 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 20:57:23 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:57:23 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 20:57:23 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 20:57:23 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 20:57:23 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 20:57:23 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 20:57:23 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 20:57:23 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 20:57:23 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 20:57:23 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 20:57:23 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 20:57:23 DEBUG WPS2SM:201 - Schema: null 2016-04-21 20:57:23 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 20:57:23 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 20:57:23 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 20:57:23 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:57:23 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 20:57:23 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 20:57:23 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:57:23 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:57:23 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 20:57:23 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 20:57:23 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 20:57:23 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 20:57:23 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 20:57:23 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 20:57:23 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 20:57:23 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 20:57:23 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 20:57:23 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 20:57:23 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 20:57:23 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:57:23 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 20:57:23 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 20:57:23 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:57:23 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 20:57:23 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 20:57:23 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 20:57:23 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 20:57:23 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:57:23 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 20:57:23 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 20:57:23 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:57:23 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:57:23 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 20:57:23 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 20:57:23 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 20:57:23 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:57:23 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 20:57:23 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 20:57:23 DEBUG WPS2SM:93 - WPS type: 2016-04-21 20:57:23 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 20:57:23 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 20:57:23 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 20:57:23 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 20:57:23 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 20:57:23 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 20:57:23 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:57:23 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:57:23 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:57:23 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:57:23 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:57:23 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:57:23 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:57:23 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:57:23 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:57:23 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:57:23 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:57:23 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:57:23 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:57:23 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:57:23 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:57:23 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:57:23 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 20:57:23 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 20:57:23 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:57:23 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:57:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 20:57:23 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 20:57:23 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:57:23 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:57:24 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:57:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:57:24 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:57:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:57:24 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:57:24 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:57:24 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:57:24 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:57:24 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:57:24 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:57:24 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:57:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:57:24 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 20:57:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 20:57:24 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 20:57:24 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 20:57:24 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 20:57:24 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 20:57:24 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 20:57:24 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 20:57:24 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:57:24 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:57:24 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:57:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 20:57:24 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 20:57:24 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:57:24 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 20:57:24 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:57:24 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 20:57:24 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 20:57:24 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 20:57:24 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 20:57:24 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 20:57:24 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:57:24 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 20:57:24 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 20:57:24 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 20:57:24 INFO WorkspaceExplorerServiceImpl:142 - end time - 240 msc 0 sec 2016-04-21 20:57:24 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 20:58:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 20:58:13 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 20:59:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 20:59:08 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:00:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:00:03 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 21:00:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:00:58 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:01:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:01:53 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:02:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:02:48 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:03:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:03:43 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 21:04:38 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:04:38 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:09:39 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 21:09:39 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 21:09:39 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 21:09:39 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 21:09:39 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 21:09:39 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:09:39 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 21:09:39 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@40599963 2016-04-21 21:09:39 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:09:39 INFO ASLSession:352 - Logging the entrance 2016-04-21 21:09:39 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 21:09:39 DEBUG TemplateModel:83 - 2016-04-21 21:09:39, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 21:09:39 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:09:40 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 21:09:40 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 235 ms 2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 21:09:40 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 21:09:40 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 21:09:40 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:09:41 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 21:09:41 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 21:09:41 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 21:09:41 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:09:41 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 21:09:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:09:41 INFO ASLSession:352 - Logging the entrance 2016-04-21 21:09:41 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 21:09:41 DEBUG TemplateModel:83 - 2016-04-21 21:09:41, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 21:09:41 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:09:41 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 21:09:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@4177cfac 2016-04-21 21:09:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@6054da43 2016-04-21 21:09:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@1c2fbf6c 2016-04-21 21:09:41 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@40190936 2016-04-21 21:09:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 384 ms 2016-04-21 21:09:41 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 21:09:41 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 21:09:41 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 21:09:41 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 21:09:41 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 21:09:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:09:41 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:09:41 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 21:09:41 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 46 ms 2016-04-21 21:09:41 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 21:09:41 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:09:41 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 21:09:41 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 21:09:41 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 21:09:41 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 21:09:41 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 21:09:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 21:09:41 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 21:09:41 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:09:41 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 21:09:41 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:09:41 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:09:42 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 21:09:42 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 21:09:42 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 21:09:42 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 21:09:42 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 21:09:42 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 21:09:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 21:09:42 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:09:42 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 21:09:42 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 23 ms 2016-04-21 21:09:42 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 21:09:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 21:09:42 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:09:42 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:09:42 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 21:09:42 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:09:42 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 21:09:42 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:09:42 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 21:09:42 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 21:09:43 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 21:09:43 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 21:09:43 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 21:09:43 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 21:09:43 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 21:09:43 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 21:09:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:09:43 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:09:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:09:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:09:43 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 21:09:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 21:09:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:09:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:09:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:09:43 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:09:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:09:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:09:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:09:43 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:09:44 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:09:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 21:09:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:09:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:09:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:09:44 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:09:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:09:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:09:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:09:44 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:09:44 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:09:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 21:09:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:09:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:09:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:09:44 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:09:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:09:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:09:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:09:44 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:09:44 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:09:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 21:09:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:09:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:09:45 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 21:09:45 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 21:09:45 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 21:09:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:09:45 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:09:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:09:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:09:45 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:09:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:09:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:09:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:09:45 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:09:45 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 21:09:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:09:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:09:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:09:45 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:09:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:09:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:09:45 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:09:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:09:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:09:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:09:45 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:09:46 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 21:09:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:09:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:09:46 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 21:09:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 150 msc 0 sec 2016-04-21 21:09:46 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:09:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:09:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 21:09:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 28 ms 2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 21:09:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:09:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 21:09:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 22 ms 2016-04-21 21:09:46 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 21:09:46 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 21:09:46 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 21:09:46 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 21:09:46 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 21:09:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:09:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 21:09:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms 2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:09:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 265 msc 0 sec 2016-04-21 21:09:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:09:46 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:09:46 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:09:46 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 21:09:46 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:09:46 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 21:09:46 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:09:46 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 21:09:46 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 21:09:46 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:09:46 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 21:09:46 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 21:09:46 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 21:09:46 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 21:09:46 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 21:09:46 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:09:46 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:09:46 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 21:09:46 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 21:09:46 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 21:09:46 DEBUG WPS2SM:201 - Schema: null 2016-04-21 21:09:46 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 21:09:46 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 21:09:46 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 21:09:46 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:09:46 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 21:09:46 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 21:09:46 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:09:46 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:09:46 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 21:09:46 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 21:09:46 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 21:09:46 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 21:09:46 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 21:09:46 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 21:09:46 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 21:09:46 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 21:09:46 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 21:09:46 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:09:46 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 21:09:46 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:09:46 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 21:09:46 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 21:09:46 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:09:46 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:09:46 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 21:09:46 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 21:09:46 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 21:09:46 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:09:46 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 21:09:46 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 21:09:46 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:09:46 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:09:46 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 21:09:46 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 21:09:46 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 21:09:46 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:09:46 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 21:09:46 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 21:09:46 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:09:46 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:09:46 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 21:09:46 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 21:09:46 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 21:09:46 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:09:46 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 21:09:46 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:09:47 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:09:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:09:47 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:09:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:09:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:09:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:09:47 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:09:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 21:09:47 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 21:09:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:09:47 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:09:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:09:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:09:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:09:47 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:09:47 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 21:09:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:09:47 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:09:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:09:47 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:09:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:09:47 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:09:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:09:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:09:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:09:47 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:09:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:09:47 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:09:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:09:47 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:09:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:09:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:09:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:09:47 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:09:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:09:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:09:47 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:09:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:09:47 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:09:47 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:09:47 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 21:09:47 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 21:09:47 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 21:09:47 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 21:09:47 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:09:47 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 21:09:47 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:09:47 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 21:09:47 INFO WorkspaceExplorerServiceImpl:142 - end time - 235 msc 0 sec 2016-04-21 21:09:47 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 21:10:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:10:36 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:11:12 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 21:11:12 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 21:11:12 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 21:11:12 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 21:11:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:11:12 INFO ASLSession:352 - Logging the entrance 2016-04-21 21:11:12 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 21:11:12 DEBUG TemplateModel:83 - 2016-04-21 21:11:12, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 21:11:12 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:11:12 INFO DiscoveryDelegate:77 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
(cached) 2016-04-21 21:11:13 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 21:11:13 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 21:11:13 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 21:11:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:11:13 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:11:13 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 21:11:13 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 26 ms 2016-04-21 21:11:13 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 21:11:13 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:11:13 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 21:11:13 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 21:11:13 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 21:11:13 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 21:11:13 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:11:13 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 21:11:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:11:13 INFO ASLSession:352 - Logging the entrance 2016-04-21 21:11:13 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 21:11:13 DEBUG TemplateModel:83 - 2016-04-21 21:11:13, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 21:11:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:11:13 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 21:11:13 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:11:13 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 21:11:13 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 21:11:13 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 21:11:13 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 21:11:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:11:13 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:11:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:11:13 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 21:11:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:11:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:11:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:11:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:11:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:11:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:11:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:11:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:11:13 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 21:11:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 21:11:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:11:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:11:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:11:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:11:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:11:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:11:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:11:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:11:13 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:11:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 21:11:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:11:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:11:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:11:14 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:11:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:11:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:11:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:11:14 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:11:14 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:11:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 21:11:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:11:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:11:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:11:14 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:11:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:11:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:11:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:11:14 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:11:14 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:11:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 21:11:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:11:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:11:14 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 21:11:14 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 21:11:14 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 21:11:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:11:14 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:11:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:11:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:11:14 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:11:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:11:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:11:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:11:14 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:11:14 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 21:11:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:11:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:11:14 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 21:11:14 INFO WorkspaceExplorerServiceImpl:188 - end time - 69 msc 0 sec 2016-04-21 21:11:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:11:14 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 21:11:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:11:14 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:11:14 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:11:14 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:11:14 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:11:14 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:11:14 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:11:14 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 21:11:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:11:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:11:14 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 21:11:14 INFO WorkspaceExplorerServiceImpl:188 - end time - 73 msc 0 sec 2016-04-21 21:11:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:11:32 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:11:32 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:11:32 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 21:11:32 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:11:32 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 21:11:32 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:11:32 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 21:11:32 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 21:11:32 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:11:32 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 21:11:32 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 21:11:32 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 21:11:32 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 21:11:32 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 21:11:32 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:11:32 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:11:32 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 21:11:32 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 21:11:32 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 21:11:32 DEBUG WPS2SM:201 - Schema: null 2016-04-21 21:11:32 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 21:11:32 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 21:11:32 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 21:11:32 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:11:32 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 21:11:32 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 21:11:32 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:11:32 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:11:32 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 21:11:32 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 21:11:32 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 21:11:32 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 21:11:32 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 21:11:32 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 21:11:32 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 21:11:32 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 21:11:32 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 21:11:32 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:11:32 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 21:11:32 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:11:32 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 21:11:32 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 21:11:32 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:11:32 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:11:32 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 21:11:32 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 21:11:32 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 21:11:32 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:11:32 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 21:11:32 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 21:11:32 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:11:32 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:11:32 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 21:11:32 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 21:11:32 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 21:11:32 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:11:32 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 21:11:32 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 21:11:32 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:11:32 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:11:32 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 21:11:32 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 21:11:32 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 21:11:32 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:11:32 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 21:11:32 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 21:11:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:11:32 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:11:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:11:32 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:11:32 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:11:32 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:11:32 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:11:32 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:11:32 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:11:32 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:11:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:11:32 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:11:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:11:32 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:11:32 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:11:32 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:11:32 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:11:32 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:11:32 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:11:32 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 21:11:32 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:11:32 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 21:11:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:11:32 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:11:32 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:11:32 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:11:33 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:11:33 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:11:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:11:33 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:11:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:11:33 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:11:33 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:11:33 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:11:33 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:11:33 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:11:33 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:11:33 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:11:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:11:33 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 21:11:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:11:33 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:11:33 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:11:33 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:11:33 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:11:33 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:11:33 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:11:33 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:11:33 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:11:33 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:11:33 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:11:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:11:33 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 21:11:33 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:11:33 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:11:33 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:11:33 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 21:11:33 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 21:11:33 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 21:11:33 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 21:11:33 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:11:33 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 21:11:33 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:11:33 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 21:11:33 INFO WorkspaceExplorerServiceImpl:142 - end time - 168 msc 0 sec 2016-04-21 21:11:33 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 21:12:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:12:08 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:13:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:13:03 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:13:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 21:13:58 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 21:14:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:14:53 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:15:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:15:48 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:16:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:16:43 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:17:38 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:17:38 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:18:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:18:33 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 21:19:28 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:19:28 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:23:06 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 21:23:06 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 21:23:06 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 21:23:06 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 21:23:06 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 21:23:06 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:23:06 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 21:23:06 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@199c1997 2016-04-21 21:23:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:23:06 INFO ASLSession:352 - Logging the entrance 2016-04-21 21:23:06 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 21:23:06 DEBUG TemplateModel:83 - 2016-04-21 21:23:06, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 21:23:06 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:23:07 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 21:23:07 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 190 ms 2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 21:23:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 21:23:07 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 21:23:07 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:23:07 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 21:23:07 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 21:23:07 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:23:07 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 21:23:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:23:07 INFO ASLSession:352 - Logging the entrance 2016-04-21 21:23:07 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 21:23:07 DEBUG TemplateModel:83 - 2016-04-21 21:23:07, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 21:23:07 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:23:07 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 21:23:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 21:23:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@67174349 2016-04-21 21:23:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@492c1ac8 2016-04-21 21:23:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@1733f206 2016-04-21 21:23:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@4348fa54 2016-04-21 21:23:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 225 ms 2016-04-21 21:23:08 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 21:23:08 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 21:23:08 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 21:23:08 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 21:23:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:23:08 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:23:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:23:08 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 21:23:08 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:23:08 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:23:08 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 21:23:08 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 21:23:08 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 21:23:08 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 21:23:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:23:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:23:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 21:23:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 19 ms 2016-04-21 21:23:08 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 21:23:08 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:23:08 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 21:23:08 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 21:23:08 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 21:23:08 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 21:23:08 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 21:23:08 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 21:23:08 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 21:23:08 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 21:23:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32 2016-04-21 21:23:08 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:23:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 21:23:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 20 ms 2016-04-21 21:23:09 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 21:23:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:23:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:23:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:23:09 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 21:23:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:23:09 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 21:23:09 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:23:09 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 21:23:09 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 21:23:10 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 21:23:10 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 21:23:10 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 21:23:10 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 21:23:10 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 21:23:10 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 21:23:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:23:10 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:23:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:23:10 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 21:23:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:23:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:23:10 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:23:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:23:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:23:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:23:10 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:23:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 21:23:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:23:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:23:10 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:23:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:23:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:23:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:23:10 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:23:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 21:23:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:23:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:23:10 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:23:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:23:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:23:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:23:10 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:23:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 21:23:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:23:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:23:11 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 21:23:11 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 21:23:11 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 21:23:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:23:11 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:23:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:23:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:23:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:23:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:23:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:23:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:23:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:23:11 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 21:23:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:23:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:23:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:23:11 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:23:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:23:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:23:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:23:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:23:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:23:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:23:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:23:11 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 21:23:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:23:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:23:11 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 21:23:11 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 21:23:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 21:23:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:23:11 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:23:11 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 21:23:11 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 25 ms 2016-04-21 21:23:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 21:23:12 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:23:12 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 21:23:12 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 19 ms 2016-04-21 21:23:12 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 21:23:12 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 21:23:12 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 21:23:12 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 21:23:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 21:23:12 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 21:23:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 21:23:12 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:23:12 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 21:23:12 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 33 ms 2016-04-21 21:23:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 21:23:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 21:23:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 21:23:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:23:12 INFO WorkspaceExplorerServiceImpl:188 - end time - 503 msc 0 sec 2016-04-21 21:23:12 INFO WorkspaceExplorerServiceImpl:188 - end time - 1224 msc 1 sec 2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:23:13 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 21:23:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:23:13 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 21:23:13 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:23:13 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 21:23:13 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:23:13 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 21:23:13 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 21:23:13 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:23:13 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 21:23:13 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 21:23:13 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 21:23:13 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 21:23:13 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 21:23:13 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:23:13 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:23:13 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 21:23:13 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 21:23:13 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 21:23:13 DEBUG WPS2SM:201 - Schema: null 2016-04-21 21:23:13 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 21:23:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 21:23:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 21:23:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:23:13 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 21:23:13 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 21:23:13 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:23:13 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:23:13 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 21:23:13 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 21:23:13 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 21:23:13 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 21:23:13 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 21:23:13 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 21:23:13 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 21:23:13 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 21:23:13 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 21:23:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:23:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 21:23:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:23:13 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 21:23:13 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 21:23:13 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:23:13 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:23:13 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 21:23:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 21:23:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 21:23:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:23:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 21:23:13 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 21:23:13 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:23:13 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:23:13 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 21:23:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 21:23:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 21:23:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:23:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 21:23:13 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 21:23:13 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:23:13 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:23:13 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 21:23:13 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 21:23:13 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 21:23:13 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:23:13 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 21:23:13 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:23:13 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:23:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:23:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:23:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:23:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:23:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:23:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:23:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:23:13 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:23:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:23:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:23:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:23:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:23:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:23:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:23:13 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 21:23:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:23:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:23:13 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:23:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:23:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:23:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:23:13 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:23:13 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:23:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:23:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:23:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:23:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:23:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:23:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:23:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:23:13 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:23:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:23:13 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:23:13 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:23:13 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:23:13 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:23:13 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:23:13 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:23:13 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:23:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:23:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:23:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:23:14 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:23:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:23:14 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:23:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:23:14 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:23:14 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 21:23:14 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 21:23:14 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 21:23:14 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 21:23:14 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:23:14 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 21:23:14 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:23:14 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 21:23:14 INFO WorkspaceExplorerServiceImpl:142 - end time - 182 msc 0 sec 2016-04-21 21:23:14 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 21:26:02 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 21:26:02 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 21:26:02 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 21:26:02 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 21:26:02 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 21:26:02 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:26:02 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 21:26:02 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@6446b998 2016-04-21 21:26:02 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:26:02 INFO ASLSession:352 - Logging the entrance 2016-04-21 21:26:02 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 21:26:02 DEBUG TemplateModel:83 - 2016-04-21 21:26:02, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 21:26:02 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:26:02 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 21:26:02 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 151 ms 2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 21:26:02 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 21:26:02 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 21:26:02 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:26:02 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 21:26:02 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@2c9a1771 2016-04-21 21:26:02 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@69e2f1a8 2016-04-21 21:26:02 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@6d5d6725 2016-04-21 21:26:02 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@47a416a7 2016-04-21 21:26:02 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 127 ms 2016-04-21 21:26:03 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 21:26:03 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 21:26:03 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 21:26:03 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 21:26:03 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 21:26:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:26:03 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:26:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 21:26:03 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 22 ms 2016-04-21 21:26:03 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 21:26:03 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:26:03 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 21:26:03 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 21:26:03 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 21:26:03 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 21:26:03 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:26:03 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 21:26:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:26:03 INFO ASLSession:352 - Logging the entrance 2016-04-21 21:26:03 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 21:26:03 DEBUG TemplateModel:83 - 2016-04-21 21:26:03, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 21:26:03 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:26:03 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 21:26:03 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 21:26:03 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 21:26:03 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 21:26:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:26:03 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 21:26:03 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:26:03 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 21:26:03 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:26:03 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:26:03 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 21:26:03 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 21:26:03 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 21:26:03 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 21:26:03 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 21:26:03 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 21:26:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 36 2016-04-21 21:26:03 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:26:03 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 21:26:03 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 28 ms 2016-04-21 21:26:04 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 21:26:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:26:04 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:26:04 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:26:04 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 21:26:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:26:04 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 21:26:04 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:26:04 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 21:26:04 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 21:26:04 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 21:26:04 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 21:26:04 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 21:26:04 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 21:26:04 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 21:26:04 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 21:26:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:26:04 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:26:04 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:26:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:26:04 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 21:26:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 21:26:04 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:26:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:26:04 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:26:04 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:26:04 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:26:04 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:26:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:26:04 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:26:04 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:26:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 21:26:04 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:26:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:26:04 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:26:04 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:26:04 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:26:04 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:26:04 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:26:04 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:26:04 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:26:04 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 21:26:04 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:26:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:26:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:26:05 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:26:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:26:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:26:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:26:05 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:26:05 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:26:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 21:26:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:26:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:26:05 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 21:26:05 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 21:26:05 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 21:26:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:26:05 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:26:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:26:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:26:05 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:26:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:26:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:26:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:26:05 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:26:05 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 21:26:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:26:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:26:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:26:05 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:26:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:26:05 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:26:05 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:26:05 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:26:05 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:26:05 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:26:05 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:26:05 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 21:26:05 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 21:26:05 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:26:05 INFO WorkspaceExplorerServiceImpl:188 - end time - 122 msc 0 sec 2016-04-21 21:26:05 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:26:05 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 21:26:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32 2016-04-21 21:26:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:26:05 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:26:05 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 21:26:05 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 27 ms 2016-04-21 21:26:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32 2016-04-21 21:26:05 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:26:05 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 21:26:05 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms 2016-04-21 21:26:06 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 21:26:06 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 21:26:06 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 21:26:06 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 21:26:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32 2016-04-21 21:26:06 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 21:26:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32 2016-04-21 21:26:06 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:26:06 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 21:26:06 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms 2016-04-21 21:26:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32 2016-04-21 21:26:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32 2016-04-21 21:26:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32 2016-04-21 21:26:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:26:06 INFO WorkspaceExplorerServiceImpl:188 - end time - 221 msc 0 sec 2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:26:09 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:26:09 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:26:09 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 21:26:09 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:26:09 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 21:26:09 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:26:09 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 21:26:09 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 21:26:09 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:26:09 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 21:26:09 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 21:26:09 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 21:26:09 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 21:26:09 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 21:26:09 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:26:09 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:26:09 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 21:26:09 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 21:26:09 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 21:26:09 DEBUG WPS2SM:201 - Schema: null 2016-04-21 21:26:09 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 21:26:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 21:26:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 21:26:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:26:09 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 21:26:09 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 21:26:09 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:26:09 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:26:09 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 21:26:09 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 21:26:09 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 21:26:09 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 21:26:09 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 21:26:09 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 21:26:09 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 21:26:09 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 21:26:09 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 21:26:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:26:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 21:26:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:26:09 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 21:26:09 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 21:26:09 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:26:09 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:26:09 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 21:26:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 21:26:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 21:26:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:26:09 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 21:26:09 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 21:26:09 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:26:09 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:26:09 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 21:26:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 21:26:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 21:26:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:26:09 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 21:26:09 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 21:26:09 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:26:09 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:26:09 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 21:26:09 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 21:26:09 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 21:26:09 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:26:09 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 21:26:09 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:26:09 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:26:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:26:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:26:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:26:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:26:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:26:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:26:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:26:09 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:26:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:26:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:26:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:26:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:26:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:26:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:26:09 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 21:26:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:26:09 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 21:26:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 21:26:09 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 21:26:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:26:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:26:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:26:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:26:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:26:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:26:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:26:09 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:26:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:26:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:26:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:26:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:26:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:26:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:26:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:26:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:26:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:26:09 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:26:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:26:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:26:10 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 21:26:10 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 21:26:10 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 21:26:10 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 21:26:10 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:26:10 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 21:26:10 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:26:10 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 21:26:10 INFO WorkspaceExplorerServiceImpl:142 - end time - 193 msc 0 sec 2016-04-21 21:26:10 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 21:26:58 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:26:58 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:28:28 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 21:28:28 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 21:28:28 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 21:28:28 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 21:28:28 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 21:28:28 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:28:28 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 21:28:28 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@26b728f2 2016-04-21 21:28:28 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:28:28 INFO ASLSession:352 - Logging the entrance 2016-04-21 21:28:28 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 21:28:28 DEBUG TemplateModel:83 - 2016-04-21 21:28:28, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 21:28:28 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:28:28 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 21:28:28 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 133 ms 2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 21:28:28 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 21:28:28 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 21:28:28 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:28:28 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 21:28:28 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@75da2d8b 2016-04-21 21:28:28 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@1389b8a7 2016-04-21 21:28:28 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@3582cf38 2016-04-21 21:28:28 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@27e34fe 2016-04-21 21:28:28 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 104 ms 2016-04-21 21:28:28 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 21:28:29 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 21:28:29 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 21:28:29 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 21:28:29 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 21:28:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:28:29 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:28:29 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 21:28:29 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 25 ms 2016-04-21 21:28:29 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 21:28:29 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:28:29 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 21:28:29 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 21:28:29 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 21:28:29 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 21:28:29 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:28:29 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 21:28:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:28:29 INFO ASLSession:352 - Logging the entrance 2016-04-21 21:28:29 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 21:28:29 DEBUG TemplateModel:83 - 2016-04-21 21:28:29, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 21:28:29 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:28:29 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 21:28:29 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 21:28:29 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 21:28:29 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 21:28:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:28:29 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:28:29 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:28:29 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 21:28:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:28:29 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:28:29 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 21:28:29 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 21:28:29 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 21:28:29 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 21:28:29 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 21:28:29 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 21:28:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32 2016-04-21 21:28:29 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:28:29 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 21:28:29 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 21 ms 2016-04-21 21:28:30 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:28:30 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 21:28:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:28:30 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:28:30 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:28:30 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 21:28:30 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:28:30 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 21:28:30 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 21:28:30 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 21:28:30 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 21:28:30 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 21:28:30 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 21:28:30 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 21:28:30 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 21:28:30 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 21:28:30 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:28:30 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:28:30 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:28:30 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 21:28:30 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:28:30 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:28:30 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:28:30 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:28:30 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:28:30 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:28:30 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:28:30 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 21:28:30 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:28:30 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:28:30 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:28:30 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:28:30 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:28:30 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:28:30 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:28:30 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 21:28:30 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:28:30 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:28:30 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:28:30 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:28:30 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:28:30 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:28:30 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:28:30 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:28:30 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 21:28:31 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:28:31 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:28:31 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 21:28:31 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 21:28:31 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 21:28:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:28:31 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:28:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:28:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:28:31 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:28:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:28:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:28:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:28:31 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:28:31 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 21:28:32 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:28:32 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 21:28:32 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 21:28:32 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:28:32 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:28:32 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:28:32 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:28:32 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:28:32 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:28:32 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 21:28:32 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 21:28:32 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:28:32 INFO WorkspaceExplorerServiceImpl:188 - end time - 98 msc 0 sec 2016-04-21 21:28:32 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:28:32 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 21:28:32 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:28:32 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 21:28:32 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms 2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 21:28:32 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:28:32 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 21:28:32 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms 2016-04-21 21:28:32 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 21:28:32 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 21:28:32 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 21:28:32 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 21:28:32 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 21:28:32 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:28:32 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 21:28:32 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 34 ms 2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-21 21:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 21:28:32 INFO WorkspaceExplorerServiceImpl:188 - end time - 235 msc 0 sec 2016-04-21 21:28:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:28:33 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 21:28:33 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:28:33 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 21:28:33 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:28:33 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 21:28:34 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:28:34 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 21:28:34 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 21:28:34 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:28:34 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 21:28:34 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 21:28:34 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 21:28:34 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 21:28:34 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 21:28:34 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:28:34 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:28:34 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 21:28:34 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 21:28:34 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 21:28:34 DEBUG WPS2SM:201 - Schema: null 2016-04-21 21:28:34 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 21:28:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 21:28:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 21:28:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:28:34 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 21:28:34 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 21:28:34 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:28:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:28:34 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 21:28:34 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 21:28:34 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 21:28:34 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 21:28:34 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 21:28:34 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 21:28:34 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 21:28:34 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 21:28:34 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 21:28:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:28:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 21:28:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:28:34 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 21:28:34 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 21:28:34 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:28:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:28:34 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 21:28:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 21:28:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 21:28:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:28:34 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 21:28:34 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 21:28:34 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:28:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:28:34 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 21:28:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 21:28:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 21:28:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:28:34 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 21:28:34 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 21:28:34 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:28:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:28:34 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 21:28:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 21:28:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 21:28:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:28:34 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 21:28:34 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:28:34 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:28:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 21:28:34 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:28:34 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-21 21:28:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:28:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:28:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:28:34 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:28:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-21 21:28:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:28:34 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:28:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:28:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:28:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:28:34 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:28:34 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:28:34 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:28:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:28:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:28:34 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:28:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:28:34 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:28:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:28:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:28:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:28:34 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:28:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:28:34 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:28:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:28:34 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:28:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:28:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:28:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:28:34 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:28:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:28:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:28:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:28:34 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:28:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:28:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:28:34 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 21:28:34 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 21:28:34 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 21:28:34 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 21:28:34 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:28:34 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 21:28:34 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:28:34 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 21:28:34 INFO WorkspaceExplorerServiceImpl:142 - end time - 186 msc 0 sec 2016-04-21 21:28:34 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 21:29:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:29:24 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:30:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:30:19 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:32:48 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-21 21:32:48 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-21 21:32:48 INFO DataMinerManagerServiceImpl:72 - DataMinerManager started! 2016-04-21 21:32:48 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 21:32:48 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 21:32:48 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:32:48 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 21:32:48 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@304ad1b1 2016-04-21 21:32:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:32:48 INFO ASLSession:352 - Logging the entrance 2016-04-21 21:32:48 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 21:32:48 DEBUG TemplateModel:83 - 2016-04-21 21:32:48, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 21:32:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:32:48 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 21:32:48 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 114 ms 2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-21 21:32:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-21 21:32:48 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-21 21:32:48 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:32:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-21 21:32:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@35fa0fd 2016-04-21 21:32:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@42829a67 2016-04-21 21:32:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@14d8b219 2016-04-21 21:32:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@5b18332b 2016-04-21 21:32:48 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 107 ms 2016-04-21 21:32:48 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-21 21:32:48 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-21 21:32:48 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-21 21:32:48 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-21 21:32:48 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-21 21:32:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:32:48 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:32:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-21 21:32:49 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 19 ms 2016-04-21 21:32:49 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-21 21:32:49 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:32:49 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-21 21:32:49 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 21:32:49 INFO SessionUtil:49 - no user found in session, use test user 2016-04-21 21:32:49 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-21 21:32:49 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:32:49 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-21 21:32:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:32:49 INFO ASLSession:352 - Logging the entrance 2016-04-21 21:32:49 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-21 21:32:49 DEBUG TemplateModel:83 - 2016-04-21 21:32:49, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-21 21:32:49 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:32:49 DEBUG DataMinerManagerServiceImpl:91 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-21 21:32:49 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 21:32:49 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 21:32:49 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 21:32:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:32:49 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 21:32:49 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:32:49 DEBUG DataMinerManagerServiceImpl:436 - getDataMinerWorkArea() 2016-04-21 21:32:49 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:32:49 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:32:49 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-21 21:32:49 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-21 21:32:49 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-21 21:32:49 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-21 21:32:49 DEBUG JCRRepository:271 - Initialize repository 2016-04-21 21:32:49 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-21 21:32:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 36 2016-04-21 21:32:49 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:32:49 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-21 21:32:49 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 21 ms 2016-04-21 21:32:49 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-21 21:32:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:32:49 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:32:49 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:32:49 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-21 21:32:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:32:49 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-21 21:32:49 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 21:32:49 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 21:32:49 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-21 21:32:50 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-21 21:32:50 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-21 21:32:50 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-21 21:32:50 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-21 21:32:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:32:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:32:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:32:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:32:50 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-21 21:32:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-21 21:32:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:32:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:32:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:32:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:32:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:32:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:32:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:32:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:32:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:32:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-21 21:32:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:32:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:32:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:32:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:32:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:32:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:32:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:32:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:32:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:32:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-21 21:32:50 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:32:50 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-21 21:32:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:32:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:32:51 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:32:51 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:32:51 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:32:51 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:32:51 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:32:51 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:32:51 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-21 21:32:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-21 21:32:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:32:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:32:52 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-21 21:32:52 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-21 21:32:52 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:32:52 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:32:52 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:32:52 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:32:52 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:32:52 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:32:52 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:32:52 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:32:52 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-21 21:32:52 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:32:52 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:32:52 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:32:52 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:32:52 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:32:52 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:32:52 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:32:52 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:32:52 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:32:52 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-21 21:32:52 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:32:52 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-21 21:32:52 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:32:52 INFO WorkspaceExplorerServiceImpl:188 - end time - 124 msc 0 sec 2016-04-21 21:32:52 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:32:52 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:32:52 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 21:32:52 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 21:32:52 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:32:52 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-21 21:32:52 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms 2016-04-21 21:32:52 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-21 21:32:52 INFO ISClientConnector:82 - found only one RR, take it 2016-04-21 21:32:52 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-21 21:32:52 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 21:32:52 DEBUG StorageClient:517 - set scope: /gcube 2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 21:32:52 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-21 21:32:52 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-21 21:32:52 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 17 ms 2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-21 21:32:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:32:52 INFO WorkspaceExplorerServiceImpl:188 - end time - 244 msc 0 sec 2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:32:55 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 21:32:55 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:32:55 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 21:32:55 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:32:55 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 21:32:55 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:32:55 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 21:32:55 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 21:32:55 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:32:55 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 21:32:55 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 21:32:55 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 21:32:55 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 21:32:55 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 21:32:55 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:32:55 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:32:55 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 21:32:55 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 21:32:55 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 21:32:55 DEBUG WPS2SM:201 - Schema: null 2016-04-21 21:32:55 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 21:32:55 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 21:32:55 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 21:32:55 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:32:55 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 21:32:55 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 21:32:55 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:32:55 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:32:55 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 21:32:55 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 21:32:55 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 21:32:55 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 21:32:55 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 21:32:55 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 21:32:55 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 21:32:55 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 21:32:55 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 21:32:55 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:32:55 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 21:32:55 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:32:55 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 21:32:55 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 21:32:55 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:32:55 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:32:55 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 21:32:55 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 21:32:55 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 21:32:55 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:32:55 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 21:32:55 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 21:32:55 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:32:55 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:32:55 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 21:32:55 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 21:32:55 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 21:32:55 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:32:55 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 21:32:55 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 21:32:55 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:32:55 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:32:55 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 21:32:55 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 21:32:55 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 21:32:55 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:32:55 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 21:32:55 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:32:55 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:32:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:32:55 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:32:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:32:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:32:55 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:32:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:32:55 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:32:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:32:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:32:55 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:32:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:32:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:32:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:32:55 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:32:55 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:32:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:32:55 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:32:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:32:55 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:32:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:32:55 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:32:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:32:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:32:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:32:55 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:32:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:32:55 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:32:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:32:55 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:32:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:32:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:32:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:32:55 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:32:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:32:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:32:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:32:55 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:32:55 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:32:55 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:32:55 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 21:32:56 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 21:32:56 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 21:32:56 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 21:32:56 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:32:56 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 21:32:56 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:32:56 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 21:32:56 INFO WorkspaceExplorerServiceImpl:142 - end time - 195 msc 0 sec 2016-04-21 21:32:56 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 21:33:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:33:44 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:34:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:34:05 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:34:05 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:34:05 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS 2016-04-21 21:34:05 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:34:05 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 21:34:06 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS KMEANS A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:34:06 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 21:34:06 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 21:34:06 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:34:06 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 21:34:06 DEBUG SClient4WPS:291 - WPSClient->Input: k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 2016-04-21 21:34:06 DEBUG SClient4WPS:291 - WPSClient->Input: max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 2016-04-21 21:34:06 DEBUG SClient4WPS:291 - WPSClient->Input: max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 2016-04-21 21:34:06 DEBUG SClient4WPS:291 - WPSClient->Input: min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 2016-04-21 21:34:06 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 21:34:06 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 21:34:06 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:34:06 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:34:06 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 21:34:06 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 21:34:06 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 21:34:06 DEBUG WPS2SM:201 - Schema: null 2016-04-21 21:34:06 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 21:34:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 21:34:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 21:34:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:06 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 21:34:06 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 21:34:06 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:06 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:34:06 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 21:34:06 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 21:34:06 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 21:34:06 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 21:34:06 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 21:34:06 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 21:34:06 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 21:34:06 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 21:34:06 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 21:34:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:34:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 21:34:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:06 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 21:34:06 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 21:34:06 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:06 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:34:06 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 21:34:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 21:34:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 21:34:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 21:34:06 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input 2016-04-21 21:34:06 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:34:06 DEBUG WPS2SM:101 - Guessed default value: 3 2016-04-21 21:34:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters 2016-04-21 21:34:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k 2016-04-21 21:34:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT] 2016-04-21 21:34:06 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input 2016-04-21 21:34:06 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:34:06 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 21:34:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure 2016-04-21 21:34:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs 2016-04-21 21:34:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 21:34:06 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input 2016-04-21 21:34:06 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:34:06 DEBUG WPS2SM:101 - Guessed default value: 5 2016-04-21 21:34:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps 2016-04-21 21:34:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps 2016-04-21 21:34:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT] 2016-04-21 21:34:06 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 21:34:06 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:06 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:34:06 DEBUG WPS2SM:101 - Guessed default value: 2 2016-04-21 21:34:06 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set 2016-04-21 21:34:06 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 21:34:06 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:06 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT] 2016-04-21 21:34:06 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]] 2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:34:06 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:34:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:34:06 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:34:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:34:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:34:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:34:06 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:34:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:34:06 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:34:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:34:06 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:34:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:34:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:34:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:34:06 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:34:06 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:34:06 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:34:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:34:06 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:34:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:34:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:34:06 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:34:06 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:34:06 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:34:06 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:34:06 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:34:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:34:06 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:34:06 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:34:06 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:34:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:34:06 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 21:34:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:34:06 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:34:06 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:06 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:06 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 21:34:06 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 21:34:06 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 21:34:06 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 21:34:06 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:34:06 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 21:34:06 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:34:06 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 21:34:06 INFO WorkspaceExplorerServiceImpl:142 - end time - 166 msc 0 sec 2016-04-21 21:34:06 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:34:25 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:34:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:34:25 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-21 21:34:25 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:34:25 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 21:34:25 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:34:25 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 21:34:25 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 21:34:25 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:34:25 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 21:34:25 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-21 21:34:25 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-21 21:34:25 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 21:34:25 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 21:34:25 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:34:25 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:34:25 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 21:34:25 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 21:34:25 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 21:34:25 DEBUG WPS2SM:201 - Schema: null 2016-04-21 21:34:25 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 21:34:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 21:34:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 21:34:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:25 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 21:34:25 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 21:34:25 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:25 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:34:25 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 21:34:25 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 21:34:25 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 21:34:25 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 21:34:25 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 21:34:25 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 21:34:25 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 21:34:25 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 21:34:25 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 21:34:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:34:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 21:34:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:25 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 21:34:25 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 21:34:25 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:25 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:34:25 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 21:34:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 21:34:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 21:34:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:25 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 21:34:25 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-21 21:34:25 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:25 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:34:25 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 21:34:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-21 21:34:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-21 21:34:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:25 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 21:34:25 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 21:34:25 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:25 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:34:25 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-21 21:34:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-21 21:34:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 21:34:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:25 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-21 21:34:25 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:34:25 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:34:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:34:25 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:34:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:34:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:34:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:34:25 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:34:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:34:25 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:34:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:34:25 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:34:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:34:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:34:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:34:25 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:34:25 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-21 21:34:25 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-21 21:34:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:34:25 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:34:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:34:25 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:34:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:34:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:34:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:34:25 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:34:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:34:25 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:34:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:34:25 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:34:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:34:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:34:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:34:25 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:34:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:34:25 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:34:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:25 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 21:34:25 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 21:34:25 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 21:34:25 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 21:34:25 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:34:25 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 21:34:25 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:34:25 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 21:34:25 INFO WorkspaceExplorerServiceImpl:142 - end time - 173 msc 0 sec 2016-04-21 21:34:25 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:34:29 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 21:34:29 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-21 21:34:29 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS 2016-04-21 21:34:29 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:34:29 INFO StatWPSClientSession:84 - CONNECT 2016-04-21 21:34:29 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS KMEANS A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:34:29 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-21 21:34:29 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-21 21:34:29 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:34:29 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-21 21:34:29 DEBUG SClient4WPS:291 - WPSClient->Input: k expected Number of Clusters Name of the parameter: k. expected Number of Clusters 3 2016-04-21 21:34:29 DEBUG SClient4WPS:291 - WPSClient->Input: max_runs max runs of the clustering procedure Name of the parameter: max_runs. max runs of the clustering procedure 10 2016-04-21 21:34:29 DEBUG SClient4WPS:291 - WPSClient->Input: max_optimization_steps max number of internal optimization steps Name of the parameter: max_optimization_steps. max number of internal optimization steps 5 2016-04-21 21:34:29 DEBUG SClient4WPS:291 - WPSClient->Input: min_points number of points which define an outlier set Name of the parameter: min_points. number of points which define an outlier set 2 2016-04-21 21:34:29 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-21 21:34:29 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-21 21:34:29 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-21 21:34:29 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-21 21:34:29 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-21 21:34:29 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-21 21:34:29 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-21 21:34:29 DEBUG WPS2SM:201 - Schema: null 2016-04-21 21:34:29 DEBUG WPS2SM:202 - Encoding: null 2016-04-21 21:34:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-21 21:34:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-21 21:34:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:29 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-21 21:34:29 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-21 21:34:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:29 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:34:29 DEBUG WPS2SM:101 - Guessed default value: 2016-04-21 21:34:29 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-21 21:34:29 DEBUG WPS2SM:112 - Machter find: true 2016-04-21 21:34:29 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-21 21:34:29 DEBUG WPS2SM:114 - Machter start: 31 2016-04-21 21:34:29 DEBUG WPS2SM:115 - Machter end: 103 2016-04-21 21:34:29 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-21 21:34:29 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-21 21:34:29 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-21 21:34:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-21 21:34:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-21 21:34:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:29 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-21 21:34:29 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-21 21:34:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:29 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-21 21:34:29 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-21 21:34:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-21 21:34:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-21 21:34:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-21 21:34:29 DEBUG WPS2SM:254 - Conversion to SM Type->k is a Literal Input 2016-04-21 21:34:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:34:29 DEBUG WPS2SM:101 - Guessed default value: 3 2016-04-21 21:34:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:expected Number of Clusters 2016-04-21 21:34:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:k 2016-04-21 21:34:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT] 2016-04-21 21:34:29 DEBUG WPS2SM:254 - Conversion to SM Type->max_runs is a Literal Input 2016-04-21 21:34:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:34:29 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-21 21:34:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max runs of the clustering procedure 2016-04-21 21:34:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_runs 2016-04-21 21:34:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-21 21:34:29 DEBUG WPS2SM:254 - Conversion to SM Type->max_optimization_steps is a Literal Input 2016-04-21 21:34:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:34:29 DEBUG WPS2SM:101 - Guessed default value: 5 2016-04-21 21:34:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:max number of internal optimization steps 2016-04-21 21:34:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:max_optimization_steps 2016-04-21 21:34:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT] 2016-04-21 21:34:29 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-21 21:34:29 DEBUG WPS2SM:93 - WPS type: 2016-04-21 21:34:29 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-21 21:34:29 DEBUG WPS2SM:101 - Guessed default value: 2 2016-04-21 21:34:29 DEBUG WPS2SM:290 - Conversion to SM Type->Title:number of points which define an outlier set 2016-04-21 21:34:29 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-21 21:34:29 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-21 21:34:29 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT] 2016-04-21 21:34:29 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=3, value=null, name=k, description=expected Number of Clusters [Min N. of Entries:1; Max N. of Entries:1; default:3], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=max_runs, description=max runs of the clustering procedure [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=5, value=null, name=max_optimization_steps, description=max number of internal optimization steps [Min N. of Entries:1; Max N. of Entries:1; default:5], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=2, value=null, name=min_points, description=number of points which define an outlier set [Min N. of Entries:1; Max N. of Entries:1; default:2], typology=OBJECT]] 2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:34:29 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:34:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:34:29 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:34:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:34:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:34:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:34:29 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:34:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:34:29 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:34:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:34:29 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:34:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:34:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:34:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:34:29 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:34:29 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:34:29 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:34:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:34:29 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:34:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:34:29 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:34:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:34:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:34:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:34:29 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:34:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:34:29 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:34:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-21 21:34:29 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-21 21:34:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-21 21:34:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-21 21:34:29 DEBUG JCRHomeManager:97 - User is already logged 2016-04-21 21:34:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:29 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:34:29 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-21 21:34:29 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-21 21:34:29 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-21 21:34:29 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-21 21:34:29 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-21 21:34:29 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-21 21:34:29 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:34:29 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-21 21:34:29 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-21 21:34:29 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-21 21:34:29 INFO WorkspaceExplorerServiceImpl:142 - end time - 153 msc 0 sec 2016-04-21 21:34:29 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-21 21:34:39 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:34:39 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:35:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-21 21:35:34 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-21 21:36:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:36:29 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:37:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:37:24 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 21:38:19 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-21 21:38:19 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-21 21:39:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:39:14 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-21 21:40:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-21 21:40:09 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-21 21:41:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-21 21:41:04 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-21 21:41:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-21 21:41:59 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-22 12:13:06 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-22 12:13:06 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-22 12:13:06 INFO DataMinerManagerServiceImpl:71 - DataMinerManager started! 2016-04-22 12:13:06 INFO SessionUtil:49 - no user found in session, use test user 2016-04-22 12:13:06 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-22 12:13:06 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-22 12:13:06 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-22 12:13:06 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@38f1c3ab 2016-04-22 12:13:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:13:06 INFO ASLSession:352 - Logging the entrance 2016-04-22 12:13:06 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-22 12:13:06 DEBUG TemplateModel:83 - 2016-04-22 12:13:06, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-22 12:13:06 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:13:06 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-22 12:13:07 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-22 12:13:07 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-22 12:13:07 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-22 12:13:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:13:07 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-22 12:13:07 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:13:07 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea() 2016-04-22 12:13:07 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:13:07 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:13:07 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-22 12:13:07 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-22 12:13:07 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-22 12:13:07 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-22 12:13:07 DEBUG JCRRepository:271 - Initialize repository 2016-04-22 12:13:07 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-22 12:13:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-22 12:13:07 INFO DefaultScanner:63 - matched 28 resources from 113 urls in 116 ms 2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-22 12:13:07 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-22 12:13:07 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://node5.d.d4science.research-infrastructures.eu:8000/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-22 12:13:08 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:13:08 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-22 12:13:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@c654c14 2016-04-22 12:13:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@640e40f2 2016-04-22 12:13:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@47dac6cb 2016-04-22 12:13:08 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@2234b555 2016-04-22 12:13:08 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 153 ms 2016-04-22 12:13:08 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-22 12:13:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:13:08 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:13:08 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:13:08 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-22 12:13:08 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:13:08 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-22 12:13:09 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-22 12:13:09 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-22 12:13:09 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-22 12:13:09 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-22 12:13:09 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-22 12:13:09 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-22 12:13:09 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-22 12:13:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:13:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:13:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:13:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:13:09 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-22 12:13:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-22 12:13:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:13:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:13:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:13:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:13:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:13:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:13:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:13:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:13:09 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:13:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-22 12:13:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:13:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:13:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:13:10 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:13:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:13:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:13:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:13:10 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:13:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:13:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-22 12:13:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:13:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:13:10 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:13:10 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:13:10 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:13:10 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:13:10 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:13:10 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:13:10 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:13:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-22 12:13:10 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:13:10 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:13:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:13:11 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-22 12:13:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:13:11 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:13:11 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:13:11 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:13:11 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:13:11 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:13:11 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:13:11 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-22 12:13:11 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:13:11 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:13:12 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:13:12 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:13:12 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:13:12 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:13:12 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:13:12 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:13:12 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:13:12 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-22 12:13:12 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:13:12 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:13:12 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-22 12:13:12 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-22 12:13:12 INFO WorkspaceExplorerServiceImpl:188 - end time - 204 msc 0 sec 2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:13:12 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:13:12 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-22 12:13:12 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 26 ms 2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-22 12:13:12 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:13:12 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-22 12:13:12 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms 2016-04-22 12:13:12 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-22 12:13:12 INFO ISClientConnector:82 - found only one RR, take it 2016-04-22 12:13:12 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-22 12:13:12 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-22 12:13:12 DEBUG StorageClient:517 - set scope: /gcube 2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-22 12:13:12 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:13:12 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-22 12:13:12 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-22 12:13:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:13:12 INFO WorkspaceExplorerServiceImpl:188 - end time - 255 msc 0 sec 2016-04-22 12:14:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:14:01 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-22 12:14:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:14:56 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-22 12:16:14 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-22 12:16:14 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-22 12:16:14 INFO DataMinerManagerServiceImpl:71 - DataMinerManager started! 2016-04-22 12:16:14 INFO SessionUtil:49 - no user found in session, use test user 2016-04-22 12:16:14 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-22 12:16:14 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-22 12:16:14 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-22 12:16:14 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@732cdfc7 2016-04-22 12:16:14 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:16:14 INFO ASLSession:352 - Logging the entrance 2016-04-22 12:16:14 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-22 12:16:14 DEBUG TemplateModel:83 - 2016-04-22 12:16:14, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-22 12:16:14 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:16:14 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-22 12:16:15 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-22 12:16:15 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-22 12:16:15 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-22 12:16:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-22 12:16:15 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-22 12:16:15 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:16:15 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea() 2016-04-22 12:16:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:16:15 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:16:15 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-22 12:16:15 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-22 12:16:15 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-22 12:16:15 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-22 12:16:15 DEBUG JCRRepository:271 - Initialize repository 2016-04-22 12:16:15 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-22 12:16:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 36 2016-04-22 12:16:15 INFO DefaultScanner:63 - matched 28 resources from 113 urls in 99 ms 2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-22 12:16:15 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-22 12:16:15 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://node5.d.d4science.research-infrastructures.eu:8000/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-22 12:16:15 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:16:15 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-22 12:16:15 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@104bb1d6 2016-04-22 12:16:15 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@bdf163b 2016-04-22 12:16:15 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@445738a4 2016-04-22 12:16:15 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@16dd0b4 2016-04-22 12:16:15 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 85 ms 2016-04-22 12:16:15 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-22 12:16:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-22 12:16:15 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:16:15 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:16:15 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-22 12:16:15 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:16:15 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-22 12:16:16 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-22 12:16:16 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-22 12:16:16 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-22 12:16:16 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-22 12:16:16 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-22 12:16:16 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-22 12:16:16 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-22 12:16:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:16:16 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:16:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:16:16 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-22 12:16:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:16:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:16:16 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:16:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:16:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:16:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:16:16 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:16:16 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-22 12:16:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:16:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:16:16 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:16:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:16:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:16:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:16:16 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:16:16 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-22 12:16:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:16:16 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:16:16 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:16:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:16:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:16:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:16:16 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:16:16 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-22 12:16:16 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:16:16 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:16:17 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:16:17 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:16:17 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:16:17 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:16:17 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:16:17 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:16:17 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:16:17 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-22 12:16:17 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:16:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:16:17 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:16:17 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:16:17 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:16:17 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:16:17 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:16:17 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:16:17 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:16:17 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-22 12:16:17 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-22 12:16:17 INFO WorkspaceExplorerServiceImpl:188 - end time - 128 msc 0 sec 2016-04-22 12:16:17 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:16:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:16:17 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:16:17 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:16:17 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-22 12:16:17 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 32 ms 2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-22 12:16:17 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:16:17 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-22 12:16:17 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 37 ms 2016-04-22 12:16:17 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-22 12:16:17 INFO ISClientConnector:82 - found only one RR, take it 2016-04-22 12:16:17 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-22 12:16:17 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-22 12:16:17 DEBUG StorageClient:517 - set scope: /gcube 2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-22 12:16:17 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:16:17 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-22 12:16:17 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 21 ms 2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-22 12:16:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:16:17 INFO WorkspaceExplorerServiceImpl:188 - end time - 322 msc 0 sec 2016-04-22 12:17:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-22 12:17:09 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-22 12:18:04 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:18:04 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-22 12:18:59 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:18:59 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-22 12:20:15 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-22 12:20:15 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-22 12:20:15 INFO DataMinerManagerServiceImpl:71 - DataMinerManager started! 2016-04-22 12:20:15 INFO SessionUtil:49 - no user found in session, use test user 2016-04-22 12:20:15 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-22 12:20:15 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-22 12:20:15 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-22 12:20:15 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@5607aea6 2016-04-22 12:20:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:20:15 INFO ASLSession:352 - Logging the entrance 2016-04-22 12:20:15 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-22 12:20:15 DEBUG TemplateModel:83 - 2016-04-22 12:20:15, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-22 12:20:15 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:20:15 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-22 12:20:15 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-22 12:20:15 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-22 12:20:15 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-22 12:20:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-22 12:20:15 DEBUG ASLSession:458 - Getting security token: null in thread 36 2016-04-22 12:20:15 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:20:15 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea() 2016-04-22 12:20:15 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:20:15 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:20:15 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-22 12:20:15 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-22 12:20:15 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-22 12:20:15 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-22 12:20:15 DEBUG JCRRepository:271 - Initialize repository 2016-04-22 12:20:15 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-22 12:20:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 36 2016-04-22 12:20:16 INFO DefaultScanner:63 - matched 28 resources from 113 urls in 97 ms 2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-22 12:20:16 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-22 12:20:16 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://node5.d.d4science.research-infrastructures.eu:8000/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-22 12:20:16 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:20:16 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-22 12:20:16 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@7a4f827e 2016-04-22 12:20:16 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@24fedd33 2016-04-22 12:20:16 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@285dadc6 2016-04-22 12:20:16 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@103297ea 2016-04-22 12:20:16 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 68 ms 2016-04-22 12:20:16 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-22 12:20:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 36 2016-04-22 12:20:16 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:20:16 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:20:16 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-22 12:20:16 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:20:16 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-22 12:20:17 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-22 12:20:17 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-22 12:20:17 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-22 12:20:17 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-22 12:20:17 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-22 12:20:17 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-22 12:20:17 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-22 12:20:17 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:20:17 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:20:17 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:20:17 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-22 12:20:17 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:20:17 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:20:17 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:20:17 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:20:17 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:20:17 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:20:17 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:20:17 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-22 12:20:17 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:20:17 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:20:17 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:20:17 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:20:17 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:20:17 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:20:17 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:20:17 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-22 12:20:17 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:20:17 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:20:17 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:20:17 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:20:17 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:20:17 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:20:17 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:20:17 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-22 12:20:17 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:20:17 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:20:18 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:20:18 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:20:18 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:20:18 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:20:18 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:20:18 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:20:18 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:20:18 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-22 12:20:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:20:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:20:18 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:20:18 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:20:18 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:20:18 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:20:18 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:20:18 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:20:18 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:20:18 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:20:18 INFO WorkspaceExplorerServiceImpl:188 - end time - 96 msc 0 sec 2016-04-22 12:20:18 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-22 12:20:18 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:20:18 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:20:18 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:20:18 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:20:18 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-22 12:20:18 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 82 ms 2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-22 12:20:18 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:20:18 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-22 12:20:18 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 20 ms 2016-04-22 12:20:18 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-22 12:20:18 INFO ISClientConnector:82 - found only one RR, take it 2016-04-22 12:20:18 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-22 12:20:18 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-22 12:20:18 DEBUG StorageClient:517 - set scope: /gcube 2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-22 12:20:18 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:20:18 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-22 12:20:18 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 22 ms 2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-22 12:20:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:20:18 INFO WorkspaceExplorerServiceImpl:188 - end time - 300 msc 0 sec 2016-04-22 12:21:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:21:10 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-22 12:22:23 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-22 12:22:23 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-22 12:22:23 INFO DataMinerManagerServiceImpl:71 - DataMinerManager started! 2016-04-22 12:22:23 INFO SessionUtil:49 - no user found in session, use test user 2016-04-22 12:22:23 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-22 12:22:23 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-22 12:22:23 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-22 12:22:23 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@8bf46d6 2016-04-22 12:22:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:22:23 INFO ASLSession:352 - Logging the entrance 2016-04-22 12:22:23 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-22 12:22:23 DEBUG TemplateModel:83 - 2016-04-22 12:22:23, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-22 12:22:23 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:22:23 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-22 12:22:24 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-22 12:22:24 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-22 12:22:24 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-22 12:22:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:22:24 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-22 12:22:24 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:22:24 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea() 2016-04-22 12:22:24 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:22:24 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:22:24 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-22 12:22:24 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-22 12:22:24 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-22 12:22:24 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-22 12:22:24 DEBUG JCRRepository:271 - Initialize repository 2016-04-22 12:22:24 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-22 12:22:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 30 2016-04-22 12:22:24 INFO DefaultScanner:63 - matched 28 resources from 113 urls in 107 ms 2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-22 12:22:24 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-22 12:22:24 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://node5.d.d4science.research-infrastructures.eu:8000/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-22 12:22:24 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:22:24 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-22 12:22:24 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@7760fcd2 2016-04-22 12:22:24 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@703c767c 2016-04-22 12:22:24 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@28619ab1 2016-04-22 12:22:24 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@63840778 2016-04-22 12:22:24 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 71 ms 2016-04-22 12:22:24 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-22 12:22:24 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:22:24 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:22:24 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:22:24 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-22 12:22:24 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:22:24 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-22 12:22:25 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-22 12:22:25 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-22 12:22:25 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-22 12:22:25 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-22 12:22:25 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-22 12:22:25 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-22 12:22:25 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-22 12:22:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:22:25 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:22:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:22:25 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-22 12:22:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:22:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:22:25 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:22:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:22:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:22:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:22:25 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:22:25 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-22 12:22:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:22:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:22:25 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:22:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:22:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:22:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:22:25 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:22:25 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-22 12:22:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:22:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:22:25 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:22:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:22:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:22:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:22:25 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:22:25 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-22 12:22:25 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:22:25 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:22:27 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:22:27 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:22:27 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:22:27 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:22:27 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:22:27 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:22:27 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:22:27 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-22 12:22:27 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:22:27 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-22 12:22:27 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-22 12:22:27 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:22:27 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:22:27 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:22:27 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:22:27 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:22:27 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:22:27 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-22 12:22:27 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-22 12:22:27 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:22:27 INFO WorkspaceExplorerServiceImpl:188 - end time - 133 msc 0 sec 2016-04-22 12:22:27 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:22:27 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-22 12:22:27 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:22:27 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-22 12:22:27 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 72 ms 2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-22 12:22:27 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:22:27 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-22 12:22:27 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 17 ms 2016-04-22 12:22:27 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-22 12:22:27 INFO ISClientConnector:82 - found only one RR, take it 2016-04-22 12:22:27 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-22 12:22:27 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-22 12:22:27 DEBUG StorageClient:517 - set scope: /gcube 2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-22 12:22:27 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:22:27 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-22 12:22:27 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-22 12:22:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-22 12:22:27 INFO WorkspaceExplorerServiceImpl:188 - end time - 299 msc 0 sec 2016-04-22 12:23:18 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:23:18 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-22 12:24:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-22 12:24:13 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-22 12:25:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:25:08 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-22 12:26:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:26:03 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-22 12:26:42 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-22 12:26:42 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-22 12:26:42 INFO DataMinerManagerServiceImpl:71 - DataMinerManager started! 2016-04-22 12:26:42 INFO SessionUtil:49 - no user found in session, use test user 2016-04-22 12:26:42 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-22 12:26:42 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-22 12:26:42 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-22 12:26:42 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@4f10766e 2016-04-22 12:26:42 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:26:42 INFO ASLSession:352 - Logging the entrance 2016-04-22 12:26:42 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-22 12:26:42 DEBUG TemplateModel:83 - 2016-04-22 12:26:42, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-22 12:26:42 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:26:42 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-22 12:26:43 INFO SessionUtil:49 - no user found in session, use test user 2016-04-22 12:26:43 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-22 12:26:43 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-22 12:26:43 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-22 12:26:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:26:43 INFO ASLSession:352 - Logging the entrance 2016-04-22 12:26:43 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-22 12:26:43 DEBUG TemplateModel:83 - 2016-04-22 12:26:43, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-22 12:26:43 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:26:43 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-22 12:26:44 INFO DefaultScanner:63 - matched 28 resources from 111 urls in 113 ms 2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-22 12:26:44 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-22 12:26:44 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-22 12:26:44 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:26:44 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-22 12:26:44 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@7db5b8e0 2016-04-22 12:26:44 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@2b8c224f 2016-04-22 12:26:44 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@25ffa2ab 2016-04-22 12:26:44 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@d0cbc4c 2016-04-22 12:26:44 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 100 ms 2016-04-22 12:26:44 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-22 12:26:44 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-22 12:26:44 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-22 12:26:44 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-22 12:26:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:26:44 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-22 12:26:44 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:26:44 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea() 2016-04-22 12:26:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:26:44 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:26:44 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-22 12:26:44 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-22 12:26:44 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-22 12:26:44 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-22 12:26:44 DEBUG JCRRepository:271 - Initialize repository 2016-04-22 12:26:44 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-22 12:26:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-22 12:26:44 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:26:44 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-22 12:26:44 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-22 12:26:44 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-22 12:26:44 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-22 12:26:44 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-22 12:26:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:26:44 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:26:44 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-22 12:26:44 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 26 ms 2016-04-22 12:26:44 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-22 12:26:44 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-22 12:26:44 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-22 12:26:44 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 79 ms 2016-04-22 12:26:44 INFO StatWPSClientSession:84 - CONNECT 2016-04-22 12:26:44 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-22 12:26:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:26:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:26:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:26:44 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-22 12:26:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:26:44 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-22 12:26:45 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-22 12:26:45 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-22 12:26:45 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-22 12:26:45 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-22 12:26:45 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-22 12:26:45 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-22 12:26:45 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-22 12:26:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:26:45 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:26:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:26:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:26:45 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-22 12:26:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-22 12:26:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:26:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:26:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:26:45 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:26:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:26:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:26:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:26:45 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:26:45 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:26:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-22 12:26:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:26:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:26:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:26:45 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:26:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:26:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:26:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:26:45 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:26:45 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:26:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-22 12:26:45 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:26:45 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:26:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:26:46 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:26:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:26:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:26:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:26:46 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:26:46 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:26:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-22 12:26:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:26:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:26:46 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:26:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:26:46 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:26:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:26:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:26:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:26:46 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:26:46 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-22 12:26:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:26:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:26:46 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:26:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:26:46 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:26:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:26:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:26:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:26:46 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:26:46 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-22 12:26:46 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-22 12:26:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 123 msc 0 sec 2016-04-22 12:26:46 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:26:46 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:26:46 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:26:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:26:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-22 12:26:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 22 ms 2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-22 12:26:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:26:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-22 12:26:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 24 ms 2016-04-22 12:26:46 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-22 12:26:46 INFO ISClientConnector:82 - found only one RR, take it 2016-04-22 12:26:46 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-22 12:26:46 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-22 12:26:46 DEBUG StorageClient:517 - set scope: /gcube 2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-22 12:26:46 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-22 12:26:46 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-22 12:26:46 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 19 ms 2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 35 2016-04-22 12:26:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:26:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 240 msc 0 sec 2016-04-22 12:26:47 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-22 12:26:47 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-22 12:27:33 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-22 12:27:33 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-22 12:27:33 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-22 12:27:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-22 12:27:33 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-22 12:27:33 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:27:33 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-22 12:27:33 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-22 12:27:33 INFO StatWPSClientSession:84 - CONNECT 2016-04-22 12:27:34 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-22 12:27:34 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-22 12:27:34 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-22 12:27:34 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-22 12:27:34 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-22 12:27:34 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-22 12:27:34 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-22 12:27:34 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-22 12:27:34 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-22 12:27:34 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-22 12:27:34 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-22 12:27:34 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-22 12:27:34 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-22 12:27:34 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-22 12:27:34 DEBUG WPS2SM:201 - Schema: null 2016-04-22 12:27:34 DEBUG WPS2SM:202 - Encoding: null 2016-04-22 12:27:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-22 12:27:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-22 12:27:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-22 12:27:34 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-22 12:27:34 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-22 12:27:34 DEBUG WPS2SM:93 - WPS type: 2016-04-22 12:27:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-22 12:27:34 DEBUG WPS2SM:101 - Guessed default value: 2016-04-22 12:27:34 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-22 12:27:34 DEBUG WPS2SM:112 - Machter find: true 2016-04-22 12:27:34 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-22 12:27:34 DEBUG WPS2SM:114 - Machter start: 31 2016-04-22 12:27:34 DEBUG WPS2SM:115 - Machter end: 103 2016-04-22 12:27:34 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-22 12:27:34 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-22 12:27:34 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-22 12:27:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-22 12:27:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-22 12:27:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-22 12:27:34 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-22 12:27:34 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-22 12:27:34 DEBUG WPS2SM:93 - WPS type: 2016-04-22 12:27:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-22 12:27:34 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-22 12:27:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-22 12:27:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-22 12:27:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-22 12:27:34 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-22 12:27:34 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-22 12:27:34 DEBUG WPS2SM:93 - WPS type: 2016-04-22 12:27:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-22 12:27:34 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-22 12:27:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-22 12:27:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-22 12:27:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-22 12:27:34 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-22 12:27:34 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-22 12:27:34 DEBUG WPS2SM:93 - WPS type: 2016-04-22 12:27:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-22 12:27:34 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-22 12:27:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-22 12:27:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-22 12:27:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-22 12:27:34 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-22 12:27:34 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:27:34 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:27:34 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-22 12:27:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:27:34 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:27:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:27:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:27:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:27:34 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:27:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:27:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:27:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:27:34 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:27:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:27:34 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:27:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:27:34 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:27:34 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:27:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:27:34 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:27:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:27:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:27:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:27:34 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:27:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:27:34 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-22 12:27:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:27:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:27:34 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:27:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:27:34 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:27:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:27:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:27:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:27:34 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:27:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:27:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:27:34 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:27:34 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-22 12:27:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:27:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:27:34 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-22 12:27:34 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-22 12:27:34 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-22 12:27:34 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-22 12:27:34 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-22 12:27:34 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-22 12:27:34 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-22 12:27:34 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-22 12:27:34 INFO WorkspaceExplorerServiceImpl:142 - end time - 197 msc 0 sec 2016-04-22 12:27:34 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-22 12:27:37 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:27:37 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-22 12:28:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:28:32 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-22 12:28:44 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-22 12:28:44 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-22 12:28:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:28:44 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-22 12:28:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:28:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:28:44 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:28:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:28:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:28:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:28:44 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:28:44 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-22 12:28:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:28:44 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-22 12:28:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:28:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:28:44 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:28:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:28:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:28:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:28:44 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:28:44 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-22 12:28:44 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-22 12:28:44 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi 2016-04-22 12:28:44 DEBUG ServiceEngine:306 - get() - start 2016-04-22 12:28:44 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-22 12:28:44 DEBUG BucketCoding:42 - coding name done 2016-04-22 12:28:44 DEBUG ServiceEngine:62 - path(String) - name: StatisticalTest 2016-04-22 12:28:44 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/ 2016-04-22 12:28:44 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-22 12:28:44 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null 2016-04-22 12:28:44 INFO OperationFactory:39 - getOperation(String) - start getFolderSize 2016-04-22 12:28:44 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-22 12:28:44 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/ 2016-04-22 12:28:44 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-22 12:28:44 DEBUG BucketCoding:42 - coding name done 2016-04-22 12:28:44 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-22 12:28:44 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-22 12:28:44 DEBUG MongoIO:77 - open mongo connection 2016-04-22 12:28:44 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-22 12:28:44 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:44 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:44 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:44 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@7b331bf5, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5d839ad4, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@6b2a0442, socketFactory=javax.net.DefaultSocketFactory@137dc005, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-22 12:28:44 INFO MongoIO:106 - new mongo connection pool opened 2016-04-22 12:28:44 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-22 12:28:44 INFO connection:71 - Opened connection [connectionId{localValue:1, serverValue:1642069}] to mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:44 INFO connection:71 - Opened connection [connectionId{localValue:2, serverValue:49647}] to mongo2-d-d4s.d4science.org:27017 2016-04-22 12:28:44 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-22 12:28:44 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:44 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1665185, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:44 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1640704, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:44 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-22 12:28:44 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:44 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:44 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.7 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:44 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:44 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.7 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:44 INFO connection:71 - Opened connection [connectionId{localValue:5, serverValue:1642070}] to mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:44 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1642070}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:44 DEBUG command:56 - Command execution completed 2016-04-22 12:28:44 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1642070}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:44 DEBUG command:56 - Command execution completed 2016-04-22 12:28:44 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1642070}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:44 DEBUG command:56 - Command execution completed 2016-04-22 12:28:44 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest 2016-04-22 12:28:44 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1642070}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:44 DEBUG command:56 - Command execution completed 2016-04-22 12:28:44 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1642070}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:44 DEBUG command:56 - Command execution completed 2016-04-22 12:28:44 INFO connection:71 - Opened connection [connectionId{localValue:4, serverValue:1947249}] to mongo1-d-d4s.d4science.org:27017 2016-04-22 12:28:44 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-22 12:28:44 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1052750, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:44 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.7 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:44 INFO connection:71 - Opened connection [connectionId{localValue:3, serverValue:1360665}] to mongo4-d-d4s.d4science.org:27017 2016-04-22 12:28:44 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-22 12:28:44 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:5, serverValue:1642070}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:44 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1334621, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:44 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.7 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}] 2016-04-22 12:28:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:28:45 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-22 12:28:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:28:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:28:45 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:28:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:28:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:28:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:28:45 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:28:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:28:45 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-22 12:28:45 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-22 12:28:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:28:45 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:28:45 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:28:45 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:28:45 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:28:45 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:28:45 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:28:45 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-22 12:28:45 INFO JCRServlets:697 - Calling Servlet get Parents By Id 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi 2016-04-22 12:28:45 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi 2016-04-22 12:28:45 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-22 12:28:45 INFO WorkspaceExplorerServiceImpl:188 - end time - 58 msc 0 sec 2016-04-22 12:28:45 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-22 12:28:45 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null] 2016-04-22 12:28:45 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null] 2016-04-22 12:28:45 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=25.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}] 2016-04-22 12:28:45 DEBUG query:56 - Query completed 2016-04-22 12:28:45 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 7 objects 2016-04-22 12:28:45 DEBUG connection:56 - Closing connection connectionId{localValue:4, serverValue:1947249} 2016-04-22 12:28:45 DEBUG connection:56 - Closing connection connectionId{localValue:3, serverValue:1360665} 2016-04-22 12:28:45 INFO connection:71 - Closed connection [connectionId{localValue:5, serverValue:1642070}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-22 12:28:45 DEBUG connection:56 - Closing connection connectionId{localValue:2, serverValue:49647} 2016-04-22 12:28:45 DEBUG connection:56 - Closing connection connectionId{localValue:5, serverValue:1642070} 2016-04-22 12:28:45 DEBUG connection:56 - Closing connection connectionId{localValue:1, serverValue:1642069} 2016-04-22 12:28:45 INFO MongoIO:508 - Mongo has been closed 2016-04-22 12:28:45 INFO DefaultMongoClient:1329 - getFolderTotalVolume 130827 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest 2016-04-22 12:28:45 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest 2016-04-22 12:28:45 INFO WorkspaceExplorerServiceImpl:503 - returning size: 130827 2016-04-22 12:28:46 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-22 12:28:46 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:28:46 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:28:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:28:46 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:28:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:28:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:28:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:28:46 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:28:46 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:28:46 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:28:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:28:46 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:28:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:28:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:28:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:28:46 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:28:46 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-22 12:28:46 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-22 12:28:46 INFO JCRServlets:142 - Calling servlet getChildrenById 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi 2016-04-22 12:28:46 DEBUG ServiceEngine:306 - get() - start 2016-04-22 12:28:46 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-22 12:28:46 DEBUG BucketCoding:42 - coding name done 2016-04-22 12:28:46 DEBUG ServiceEngine:62 - path(String) - name: DBScan 2016-04-22 12:28:46 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/ 2016-04-22 12:28:46 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-22 12:28:46 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null 2016-04-22 12:28:46 INFO OperationFactory:39 - getOperation(String) - start getFolderSize 2016-04-22 12:28:46 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-22 12:28:46 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ 2016-04-22 12:28:46 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-22 12:28:46 DEBUG BucketCoding:42 - coding name done 2016-04-22 12:28:46 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-22 12:28:46 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-22 12:28:46 DEBUG MongoIO:77 - open mongo connection 2016-04-22 12:28:46 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-22 12:28:46 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:46 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:46 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:46 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@7b331bf5, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5d839ad4, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@6b2a0442, socketFactory=javax.net.DefaultSocketFactory@137dc005, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-22 12:28:46 INFO MongoIO:106 - new mongo connection pool opened 2016-04-22 12:28:46 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-22 12:28:46 INFO connection:71 - Opened connection [connectionId{localValue:6, serverValue:49649}] to mongo2-d-d4s.d4science.org:27017 2016-04-22 12:28:46 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-22 12:28:46 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1390655, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:46 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-22 12:28:46 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:46 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:46 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:46 INFO connection:71 - Opened connection [connectionId{localValue:9, serverValue:1947250}] to mongo1-d-d4s.d4science.org:27017 2016-04-22 12:28:46 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-22 12:28:46 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1084137, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:46 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:46 INFO connection:71 - Opened connection [connectionId{localValue:7, serverValue:1642071}] to mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:46 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:46 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1571718, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:46 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:46 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:28:46 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-22 12:28:46 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:28:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:28:46 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:28:46 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:28:46 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:28:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:28:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:28:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:28:46 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:28:46 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:28:46 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:28:46 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:28:46 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:28:46 INFO connection:71 - Opened connection [connectionId{localValue:8, serverValue:1360667}] to mongo4-d-d4s.d4science.org:27017 2016-04-22 12:28:46 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-22 12:28:46 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1321822, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:46 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}] 2016-04-22 12:28:46 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-22 12:28:46 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-22 12:28:46 INFO connection:71 - Opened connection [connectionId{localValue:10, serverValue:1642072}] to mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:46 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1642072}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:46 DEBUG command:56 - Command execution completed 2016-04-22 12:28:46 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1642072}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:46 DEBUG command:56 - Command execution completed 2016-04-22 12:28:46 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1642072}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:46 DEBUG command:56 - Command execution completed 2016-04-22 12:28:46 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan 2016-04-22 12:28:46 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1642072}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:46 INFO JCRServlets:142 - Calling servlet getChildrenById 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi 2016-04-22 12:28:46 DEBUG command:56 - Command execution completed 2016-04-22 12:28:46 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1642072}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:46 INFO JCRServlets:697 - Calling Servlet get Parents By Id 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi 2016-04-22 12:28:46 DEBUG command:56 - Command execution completed 2016-04-22 12:28:46 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:10, serverValue:1642072}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:46 INFO WorkspaceExplorerServiceImpl:188 - end time - 35 msc 0 sec 2016-04-22 12:28:46 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-22 12:28:46 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=7ba62008-739a-4787-ae33-7938ad109a54, name=DBScan, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null] 2016-04-22 12:28:46 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-22 12:28:46 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null] 2016-04-22 12:28:46 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null] 2016-04-22 12:28:47 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-22 12:28:47 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}] 2016-04-22 12:28:47 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-22 12:28:47 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}] 2016-04-22 12:28:47 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-22 12:28:47 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-22 12:28:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-22 12:28:47 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-22 12:28:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-22 12:28:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:28:47 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:28:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:28:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:28:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:28:47 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:28:47 INFO WorkspaceExplorerServiceImpl:518 - get MimeType By ItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-22 12:28:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:28:47 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-22 12:28:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:28:47 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-22 12:28:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:28:47 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-22 12:28:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:28:47 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:28:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-22 12:28:47 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:28:47 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:28:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:28:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:28:47 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:28:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:28:47 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:28:47 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:28:47 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:28:47 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:28:47 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-22 12:28:47 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-22 12:28:47 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-22 12:28:47 INFO WorkspaceExplorerServiceImpl:503 - returning size: 849 2016-04-22 12:28:47 DEBUG query:56 - Query completed 2016-04-22 12:28:47 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 1 objects 2016-04-22 12:28:47 DEBUG connection:56 - Closing connection connectionId{localValue:9, serverValue:1947250} 2016-04-22 12:28:47 DEBUG connection:56 - Closing connection connectionId{localValue:6, serverValue:49649} 2016-04-22 12:28:47 DEBUG connection:56 - Closing connection connectionId{localValue:8, serverValue:1360667} 2016-04-22 12:28:47 INFO connection:71 - Closed connection [connectionId{localValue:10, serverValue:1642072}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-22 12:28:47 DEBUG connection:56 - Closing connection connectionId{localValue:10, serverValue:1642072} 2016-04-22 12:28:47 DEBUG connection:56 - Closing connection connectionId{localValue:7, serverValue:1642071} 2016-04-22 12:28:47 INFO MongoIO:508 - Mongo has been closed 2016-04-22 12:28:47 INFO DefaultMongoClient:1329 - getFolderTotalVolume 849 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan 2016-04-22 12:28:47 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan 2016-04-22 12:28:47 INFO WorkspaceExplorerServiceImpl:503 - returning size: 849 2016-04-22 12:28:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:28:48 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-22 12:28:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:28:48 DEBUG DataMinerManagerServiceImpl:387 - retrieveTableInformation(): Item [id=13d0382e-8833-4df7-b4dc-61bbba61b3e5, name=hcaf_filtered.csv, type=EXTERNAL_FILE, path=/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv, children=[], owner=giancarlo.panichi, isFolder=false, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=Wed Mar 09 17:10:22 CET 2016] 2016-04-22 12:28:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:28:48 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:28:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:28:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:28:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:28:48 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:28:48 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-22 12:28:48 DEBUG ServiceEngine:193 - get() - start 2016-04-22 12:28:48 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-22 12:28:48 DEBUG BucketCoding:42 - coding name done 2016-04-22 12:28:48 DEBUG ServiceEngine:62 - path(String) - name: hcaf_filtered.csv 2016-04-22 12:28:48 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ 2016-04-22 12:28:48 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-22 12:28:48 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null 2016-04-22 12:28:48 INFO OperationFactory:39 - getOperation(String) - start download 2016-04-22 12:28:48 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-22 12:28:48 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-22 12:28:48 DEBUG BucketCoding:42 - coding name done 2016-04-22 12:28:48 DEBUG Download:57 - DOWNLOAD /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv in bucket: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-22 12:28:48 DEBUG Operation:173 - get(String) - start 2016-04-22 12:28:48 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-22 12:28:48 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-22 12:28:48 DEBUG MongoIO:77 - open mongo connection 2016-04-22 12:28:48 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:48 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@7b331bf5, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5d839ad4, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@6b2a0442, socketFactory=javax.net.DefaultSocketFactory@137dc005, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-22 12:28:48 INFO MongoIO:106 - new mongo connection pool opened 2016-04-22 12:28:48 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:11, serverValue:49650}] to mongo2-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1279534, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:48 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:14, serverValue:1947251}] to mongo1-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=902231, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:12, serverValue:1642075}] to mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1338809, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:48 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:13, serverValue:1360669}] to mongo4-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1324289, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}] 2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:15, serverValue:1642076}] to mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG command:56 - Command execution completed 2016-04-22 12:28:48 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG command:56 - Command execution completed 2016-04-22 12:28:48 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG command:56 - Command execution completed 2016-04-22 12:28:48 INFO DefaultMongoClient:96 - MongoClient get method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM] 2016-04-22 12:28:48 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG command:56 - Command execution completed 2016-04-22 12:28:48 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG command:56 - Command execution completed 2016-04-22 12:28:48 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-22 12:28:48 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG command:56 - Command execution completed 2016-04-22 12:28:48 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG command:56 - Command execution completed 2016-04-22 12:28:48 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-22 12:28:48 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG query:56 - Query completed 2016-04-22 12:28:48 INFO MongoIO:186 - object found hcaf_filtered.csv 2016-04-22 12:28:48 INFO DefaultMongoClient:1047 - MongoClient download method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM] 2016-04-22 12:28:48 INFO DefaultMongoClient:1491 - set last operation: DOWNLOAD 2016-04-22 12:28:48 DEBUG update:56 - Updating documents in namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG update:56 - Update completed 2016-04-22 12:28:48 DEBUG query:56 - Sending query of namespace remotefs.fs.chunks on connection [connectionId{localValue:15, serverValue:1642076}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG query:56 - Query completed 2016-04-22 12:28:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:28:48 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:28:48 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:28:48 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:28:48 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:28:48 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:28:48 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-22 12:28:48 INFO JCRWorkspaceItem:998 - get PublicLink for item: hcaf_filtered.csv 2016-04-22 12:28:48 INFO ServiceEngine:34 - file gCube parameter costructor: shared /gcube 2016-04-22 12:28:48 INFO ServiceEngine:44 - file gCube parameter before: shared /gcube 2016-04-22 12:28:48 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-22 12:28:48 DEBUG BucketCoding:42 - coding name done 2016-04-22 12:28:48 DEBUG ServiceEngine:62 - path(String) - name: hcaf_filtered.csv 2016-04-22 12:28:48 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ 2016-04-22 12:28:48 INFO ServiceEngine:52 - file gCube parameter after: shared /gcube 2016-04-22 12:28:48 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-22 12:28:48 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= shared file..getGcubeAccessType() shared 2016-04-22 12:28:48 INFO OperationFactory:39 - getOperation(String) - start getHttpUrl 2016-04-22 12:28:48 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-22 12:28:48 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-22 12:28:48 DEBUG BucketCoding:42 - coding name done 2016-04-22 12:28:48 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-22 12:28:48 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-22 12:28:48 DEBUG MongoIO:77 - open mongo connection 2016-04-22 12:28:48 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:48 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@7b331bf5, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5d839ad4, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@6b2a0442, socketFactory=javax.net.DefaultSocketFactory@137dc005, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-22 12:28:48 INFO MongoIO:106 - new mongo connection pool opened 2016-04-22 12:28:48 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:16, serverValue:49651}] to mongo2-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1221613, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:48 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:48 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:19, serverValue:1947252}] to mongo1-d-d4s.d4science.org:27017 2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:17, serverValue:1642077}] to mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=955504, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1472069, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:48 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:18, serverValue:1360670}] to mongo4-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-22 12:28:48 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1482385, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}] 2016-04-22 12:28:48 INFO connection:71 - Opened connection [connectionId{localValue:20, serverValue:1642078}] to mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1642078}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG command:56 - Command execution completed 2016-04-22 12:28:48 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1642078}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG command:56 - Command execution completed 2016-04-22 12:28:48 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1642078}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG command:56 - Command execution completed 2016-04-22 12:28:48 DEBUG DefaultMongoClient:1405 - MongoDB - pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-22 12:28:48 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-22 12:28:48 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1642078}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG command:56 - Command execution completed 2016-04-22 12:28:48 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1642078}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG command:56 - Command execution completed 2016-04-22 12:28:48 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-22 12:28:48 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:20, serverValue:1642078}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG query:56 - Query completed 2016-04-22 12:28:48 INFO MongoIO:186 - object found hcaf_filtered.csv 2016-04-22 12:28:48 DEBUG connection:56 - Closing connection connectionId{localValue:19, serverValue:1947252} 2016-04-22 12:28:48 DEBUG connection:56 - Closing connection connectionId{localValue:16, serverValue:49651} 2016-04-22 12:28:48 DEBUG connection:56 - Closing connection connectionId{localValue:18, serverValue:1360670} 2016-04-22 12:28:48 INFO connection:71 - Closed connection [connectionId{localValue:20, serverValue:1642078}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-22 12:28:48 DEBUG connection:56 - Closing connection connectionId{localValue:20, serverValue:1642078} 2016-04-22 12:28:48 INFO MongoIO:508 - Mongo has been closed 2016-04-22 12:28:48 DEBUG connection:56 - Closing connection connectionId{localValue:17, serverValue:1642077} 2016-04-22 12:28:48 DEBUG Operation:81 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-22 12:28:48 INFO Operation:55 - URL generated: smp://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc= 2016-04-22 12:28:48 INFO Operation:57 - URL generated: smp://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc= 2016-04-22 12:28:48 DEBUG Operation:87 - translating: http://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc= 2016-04-22 12:28:48 DEBUG Operation:90 - base Url extracted is: http://data-d.d4science.org/ 2016-04-22 12:28:48 DEBUG Operation:93 - get params: http://data-d.d4science.org/ 8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc= 2016-04-22 12:28:48 INFO Operation:99 - uri translated in http url: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0 2016-04-22 12:28:48 INFO Operation:65 - URL translated: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0 2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}] 2016-04-22 12:28:48 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=2.1 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}] 2016-04-22 12:28:51 DEBUG connection:56 - Closing connection connectionId{localValue:14, serverValue:1947251} 2016-04-22 12:28:51 DEBUG connection:56 - Closing connection connectionId{localValue:11, serverValue:49650} 2016-04-22 12:28:51 DEBUG connection:56 - Closing connection connectionId{localValue:13, serverValue:1360669} 2016-04-22 12:28:51 INFO connection:71 - Closed connection [connectionId{localValue:15, serverValue:1642076}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-22 12:28:51 DEBUG connection:56 - Closing connection connectionId{localValue:15, serverValue:1642076} 2016-04-22 12:28:51 DEBUG connection:56 - Closing connection connectionId{localValue:12, serverValue:1642075} 2016-04-22 12:29:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-22 12:29:25 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-22 12:29:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:29:25 DEBUG DataMinerManagerServiceImpl:149 - StartComputation(): [computationTitle=Dbscan-2016-04-22 12:27, computationDescription=Dbscan-2016-04-22 12:27, operator=Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[TabularParameter [tableName=http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0, templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=Test, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=10, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=1, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]], hasImage=false]] 2016-04-22 12:29:25 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-22 12:29:25 INFO StatWPSClientSession:84 - CONNECT 2016-04-22 12:29:25 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-22 12:29:25 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-22 12:29:25 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-22 12:29:25 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-22 12:29:25 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-22 12:29:25 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-22 12:29:25 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-22 12:29:25 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-22 12:29:25 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-22 12:29:25 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-22 12:29:25 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-22 12:29:25 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-22 12:29:25 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-22 12:29:25 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-22 12:29:25 DEBUG WPS2SM:201 - Schema: null 2016-04-22 12:29:25 DEBUG WPS2SM:202 - Encoding: null 2016-04-22 12:29:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-22 12:29:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-22 12:29:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-22 12:29:25 DEBUG SClient4WPS:681 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-22 12:29:25 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-22 12:29:25 DEBUG WPS2SM:93 - WPS type: 2016-04-22 12:29:25 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-22 12:29:25 DEBUG WPS2SM:101 - Guessed default value: 2016-04-22 12:29:25 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-22 12:29:25 DEBUG WPS2SM:112 - Machter find: true 2016-04-22 12:29:25 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-22 12:29:25 DEBUG WPS2SM:114 - Machter start: 31 2016-04-22 12:29:25 DEBUG WPS2SM:115 - Machter end: 103 2016-04-22 12:29:25 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-22 12:29:25 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-22 12:29:25 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-22 12:29:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-22 12:29:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-22 12:29:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-22 12:29:25 DEBUG SClient4WPS:681 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-22 12:29:25 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-22 12:29:25 DEBUG WPS2SM:93 - WPS type: 2016-04-22 12:29:25 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-22 12:29:25 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-22 12:29:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-22 12:29:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-22 12:29:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-22 12:29:25 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-22 12:29:25 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-22 12:29:25 DEBUG WPS2SM:93 - WPS type: 2016-04-22 12:29:25 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-22 12:29:25 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-22 12:29:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-22 12:29:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-22 12:29:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-22 12:29:25 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-22 12:29:25 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-22 12:29:25 DEBUG WPS2SM:93 - WPS type: 2016-04-22 12:29:25 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-22 12:29:25 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-22 12:29:25 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-22 12:29:25 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-22 12:29:25 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-22 12:29:25 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-22 12:29:25 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencePointsTable, value=http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0 2016-04-22 12:29:25 DEBUG SClient4WPS:689 - UserInputs= key:FeaturesColumnNames, value=depthmean|sstmnmax|salinitymean 2016-04-22 12:29:25 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencePointsClusterLabel, value=Test 2016-04-22 12:29:25 DEBUG SClient4WPS:689 - UserInputs= key:epsilon, value=10 2016-04-22 12:29:25 DEBUG SClient4WPS:689 - UserInputs= key:min_points, value=1 2016-04-22 12:29:25 DEBUG SClient4WPS:748 - Configuring Complex: OccurrencePointsTable to: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0 2016-04-22 12:29:25 DEBUG SClient4WPS:731 - Configuring Literal: FeaturesColumnNames to: depthmean|sstmnmax|salinitymean 2016-04-22 12:29:25 DEBUG SClient4WPS:731 - Configuring Literal: OccurrencePointsClusterLabel to: Test 2016-04-22 12:29:25 DEBUG SClient4WPS:731 - Configuring Literal: epsilon to: 10 2016-04-22 12:29:25 DEBUG SClient4WPS:731 - Configuring Literal: min_points to: 1 2016-04-22 12:29:25 INFO StatWPSClientSession:84 - CONNECT 2016-04-22 12:29:26 DEBUG SClient4WPS:380 - Sending: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN OccurrencePointsTable FeaturesColumnNames depthmean|sstmnmax|salinitymean OccurrencePointsClusterLabel Test epsilon 10 min_points 1 OutputTable non_deterministic_output 2016-04-22 12:29:26 DEBUG StatWPSClientSession:420 - RetrieveDataViaPost(): http://dataminer1-d-d4s.d4science.org:80/wps/WebProcessingService? 2016-04-22 12:29:26 DEBUG SClient4WPS:399 - Retrieved ProcessLocation: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27 2016-04-22 12:29:26 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-22 12:29:26 DEBUG SClient4WPS:768 - Starting Process: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27 2016-04-22 12:29:26 DEBUG SClient4WPS:695 - Stated Computation ProcessLocation:http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27 2016-04-22 12:29:26 DEBUG SClient4WPS:706 - ComputationId: ComputationId [id=31560712-cd81-4ea4-864b-86d8fd777d27, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27] 2016-04-22 12:29:27 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-22 12:29:27 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-22 12:29:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:29:36 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-22 12:29:36 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:29:36 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=31560712-cd81-4ea4-864b-86d8fd777d27, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27] 2016-04-22 12:29:36 INFO StatWPSClientSession:114 - CONNECT 2016-04-22 12:29:36 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-22 12:29:36 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27 2016-04-22 12:29:36 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-22 12:29:36 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-22 12:29:36 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-22 12:29:36 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN Process successful OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] depthmean,sstmnmax,salinitymean,clusterid,outlier 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f non_deterministic_output NonDeterministicOutput http://data-d.d4science.org/RjM2bVVxcHJZT1ZxUmhYZ0pWd0RHbnZLK0tEK0Zoa2pHbWJQNStIS0N6Yz0 Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv 2016-04-22 12:29:36 DEBUG SClient4WPS:858 - WPS SUCCESS 2016-04-22 12:29:36 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=100.0, status=COMPLETE, endDate=null, message=null, errResource=null] 2016-04-22 12:29:36 DEBUG Log:91 - getResourceByComputationId: ComputationId [id=31560712-cd81-4ea4-864b-86d8fd777d27, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27] 2016-04-22 12:29:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:29:36 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-22 12:29:36 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:29:36 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:OutputTable 2016-04-22 12:29:36 DEBUG WPS2SM:315 - Conversion to SM Type->Title:Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] 2016-04-22 12:29:36 DEBUG WPS2SM:331 - Complex Output 2016-04-22 12:29:36 DEBUG WPS2SM:200 - MimeType: text/csv 2016-04-22 12:29:36 DEBUG WPS2SM:201 - Schema: null 2016-04-22 12:29:36 DEBUG WPS2SM:202 - Encoding: null 2016-04-22 12:29:36 DEBUG SClient4WPS:932 - OutputParameter: TabularParameter [tableName= , templates=[], name=OutputTable, description=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], typology=TABULAR] 2016-04-22 12:29:36 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:non_deterministic_output 2016-04-22 12:29:36 DEBUG WPS2SM:315 - Conversion to SM Type->Title:NonDeterministicOutput 2016-04-22 12:29:36 DEBUG WPS2SM:331 - Complex Output 2016-04-22 12:29:36 DEBUG WPS2SM:200 - MimeType: text/xml; subtype=gml/2.1.2 2016-04-22 12:29:36 DEBUG WPS2SM:201 - Schema: http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-22 12:29:36 DEBUG WPS2SM:202 - Encoding: null 2016-04-22 12:29:36 DEBUG SClient4WPS:932 - OutputParameter: FileParameter [mimeType=text/xml; subtype=gml/2.1.2, value=null, name=non_deterministic_output, description=NonDeterministicOutput, typology=FILE] 2016-04-22 12:29:36 DEBUG SClient4WPS:419 - RetrieveProcessResult: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27 2016-04-22 12:29:36 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=31560712-cd81-4ea4-864b-86d8fd777d27 2016-04-22 12:29:36 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-22 12:29:36 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-22 12:29:36 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-22 12:29:36 DEBUG SClient4WPS:430 - Response: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN Process successful OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] depthmean,sstmnmax,salinitymean,clusterid,outlier 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f non_deterministic_output NonDeterministicOutput http://data-d.d4science.org/RjM2bVVxcHJZT1ZxUmhYZ0pWd0RHbnZLK0tEK0Zoa2pHbWJQNStIS0N6Yz0 Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv 2016-04-22 12:29:36 DEBUG SClient4WPS:946 - Process Executed 2016-04-22 12:29:36 DEBUG SClient4WPS:570 - Node Name: wps:ComplexData 2016-04-22 12:29:36 DEBUG SClient4WPS:570 - Node Name: #text 2016-04-22 12:29:36 DEBUG SClient4WPS:570 - Node Name: wps:ComplexData 2016-04-22 12:29:36 DEBUG SClient4WPS:570 - Node Name: ogr:FeatureCollection 2016-04-22 12:29:36 DEBUG SClient4WPS:570 - Node Name: gml:featureMember 2016-04-22 12:29:36 DEBUG SClient4WPS:570 - Node Name: ogr:Result 2016-04-22 12:29:36 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/RjM2bVVxcHJZT1ZxUmhYZ0pWd0RHbnZLK0tEK0Zoa2pHbWJQNStIS0N6Yz0 2016-04-22 12:29:36 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] 2016-04-22 12:29:36 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:text/csv 2016-04-22 12:29:36 DEBUG SClient4WPS:499 - ResponseWPS Map: F0-->ResponseWPS [data=http://data-d.d4science.org/RjM2bVVxcHJZT1ZxUmhYZ0pWd0RHbnZLK0tEK0Zoa2pHbWJQNStIS0N6Yz0, description=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], mimeType=text/csv] 2016-04-22 12:29:36 DEBUG SClient4WPS:994 - Adding OBJ:F0 2016-04-22 12:29:36 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/RjM2bVVxcHJZT1ZxUmhYZ0pWd0RHbnZLK0tEK0Zoa2pHbWJQNStIS0N6Yz0, name=F0, description=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], typology=OBJECT] 2016-04-22 12:29:36 DEBUG Log:91 - Resoure: MapResource [map={F0=FileResource [url=http://data-d.d4science.org/RjM2bVVxcHJZT1ZxUmhYZ0pWd0RHbnZLK0tEK0Zoa2pHbWJQNStIS0N6Yz0, mimeType=text/csv, getResourceId()=F0, getName()=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], getDescription()=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], getResourceType()=FILE]}, getResourceId()=mapResource, getName()=Resources, getDescription()=Resources, getResourceType()=MAP] 2016-04-22 12:30:22 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:30:22 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-22 12:31:17 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:31:17 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-22 12:31:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-22 12:31:25 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-22 12:31:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:31:25 DEBUG DataMinerManagerServiceImpl:425 - GetPublicLink(): ItemDescription [id=8cd725df-abd2-46d1-a2ff-2704a4655afa, name=test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3], owner=giancarlo.panichi, path=/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3], type=EXTERNAL_FILE, publicLink=null] 2016-04-22 12:31:25 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:31:25 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:31:25 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:31:25 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:31:25 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:31:25 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:31:25 INFO JCRServlets:267 - Servlet getItemById 8cd725df-abd2-46d1-a2ff-2704a4655afa 2016-04-22 12:31:25 INFO JCRWorkspaceItem:998 - get PublicLink for item: test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] 2016-04-22 12:31:25 INFO ServiceEngine:34 - file gCube parameter costructor: shared /gcube 2016-04-22 12:31:25 INFO ServiceEngine:44 - file gCube parameter before: shared /gcube 2016-04-22 12:31:25 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-22 12:31:25 DEBUG BucketCoding:42 - coding name done 2016-04-22 12:31:25 DEBUG ServiceEngine:62 - path(String) - name: test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] 2016-04-22 12:31:25 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/ 2016-04-22 12:31:25 INFO ServiceEngine:52 - file gCube parameter after: shared /gcube 2016-04-22 12:31:25 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-22 12:31:25 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= shared file..getGcubeAccessType() shared 2016-04-22 12:31:25 INFO OperationFactory:39 - getOperation(String) - start getHttpUrl 2016-04-22 12:31:25 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-22 12:31:25 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-22 12:31:25 DEBUG BucketCoding:42 - coding name done 2016-04-22 12:31:25 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-22 12:31:25 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-22 12:31:25 DEBUG MongoIO:77 - open mongo connection 2016-04-22 12:31:25 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-22 12:31:25 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:31:25 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:31:25 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:31:25 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@7b331bf5, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5d839ad4, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@6b2a0442, socketFactory=javax.net.DefaultSocketFactory@137dc005, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-22 12:31:25 INFO MongoIO:106 - new mongo connection pool opened 2016-04-22 12:31:25 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-22 12:31:25 INFO connection:71 - Opened connection [connectionId{localValue:21, serverValue:49813}] to mongo2-d-d4s.d4science.org:27017 2016-04-22 12:31:25 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-22 12:31:25 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1356038, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:31:25 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-22 12:31:25 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:31:25 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:31:25 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:31:25 INFO connection:71 - Opened connection [connectionId{localValue:22, serverValue:1642297}] to mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:25 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:25 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1610724, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:31:25 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:25 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:31:25 INFO connection:71 - Opened connection [connectionId{localValue:24, serverValue:1947374}] to mongo1-d-d4s.d4science.org:27017 2016-04-22 12:31:25 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-22 12:31:25 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1286629, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:31:25 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:31:25 INFO connection:71 - Opened connection [connectionId{localValue:23, serverValue:1360792}] to mongo4-d-d4s.d4science.org:27017 2016-04-22 12:31:25 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-22 12:31:25 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1785990, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:31:25 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.6 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.8 ms, state=CONNECTED}] 2016-04-22 12:31:25 INFO connection:71 - Opened connection [connectionId{localValue:25, serverValue:1642298}] to mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:25 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:25, serverValue:1642298}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:25 DEBUG command:56 - Command execution completed 2016-04-22 12:31:25 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:25, serverValue:1642298}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:25 DEBUG command:56 - Command execution completed 2016-04-22 12:31:25 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:25, serverValue:1642298}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:25 DEBUG command:56 - Command execution completed 2016-04-22 12:31:25 DEBUG DefaultMongoClient:1405 - MongoDB - pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] 2016-04-22 12:31:25 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] 2016-04-22 12:31:25 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:25, serverValue:1642298}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:25 DEBUG command:56 - Command execution completed 2016-04-22 12:31:25 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:25, serverValue:1642298}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:25 DEBUG command:56 - Command execution completed 2016-04-22 12:31:25 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] 2016-04-22 12:31:25 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:25, serverValue:1642298}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:25 DEBUG query:56 - Query completed 2016-04-22 12:31:25 INFO MongoIO:186 - object found test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] 2016-04-22 12:31:25 DEBUG connection:56 - Closing connection connectionId{localValue:24, serverValue:1947374} 2016-04-22 12:31:25 DEBUG connection:56 - Closing connection connectionId{localValue:23, serverValue:1360792} 2016-04-22 12:31:25 DEBUG connection:56 - Closing connection connectionId{localValue:21, serverValue:49813} 2016-04-22 12:31:25 INFO connection:71 - Closed connection [connectionId{localValue:25, serverValue:1642298}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-22 12:31:25 DEBUG connection:56 - Closing connection connectionId{localValue:25, serverValue:1642298} 2016-04-22 12:31:25 INFO MongoIO:508 - Mongo has been closed 2016-04-22 12:31:25 DEBUG connection:56 - Closing connection connectionId{localValue:22, serverValue:1642297} 2016-04-22 12:31:25 DEBUG Operation:81 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] 2016-04-22 12:31:25 INFO Operation:55 - URL generated: smp://data-d.d4science.org/fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc= 2016-04-22 12:31:25 INFO Operation:57 - URL generated: smp://data-d.d4science.org/fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc= 2016-04-22 12:31:25 DEBUG Operation:87 - translating: http://data-d.d4science.org/fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc= 2016-04-22 12:31:25 DEBUG Operation:90 - base Url extracted is: http://data-d.d4science.org/ 2016-04-22 12:31:25 DEBUG Operation:93 - get params: http://data-d.d4science.org/ fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc= 2016-04-22 12:31:25 INFO Operation:99 - uri translated in http url: http://data-d.d4science.org/ZlJwVm5TeFRlc2xxUmhYZ0pWd0RHclFwWHlUWVpuakpHbWJQNStIS0N6Yz0 2016-04-22 12:31:25 INFO Operation:65 - URL translated: http://data-d.d4science.org/ZlJwVm5TeFRlc2xxUmhYZ0pWd0RHclFwWHlUWVpuakpHbWJQNStIS0N6Yz0 2016-04-22 12:31:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:31:35 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-22 12:31:35 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:31:35 DEBUG DataMinerManagerServiceImpl:425 - GetPublicLink(): ItemDescription [id=8cd725df-abd2-46d1-a2ff-2704a4655afa, name=test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3], owner=giancarlo.panichi, path=/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3], type=EXTERNAL_FILE, publicLink=null] 2016-04-22 12:31:35 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:31:35 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:31:35 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:31:35 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:31:35 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:31:35 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:31:35 INFO JCRServlets:267 - Servlet getItemById 8cd725df-abd2-46d1-a2ff-2704a4655afa 2016-04-22 12:31:35 INFO JCRWorkspaceItem:998 - get PublicLink for item: test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] 2016-04-22 12:31:35 INFO ServiceEngine:34 - file gCube parameter costructor: shared /gcube 2016-04-22 12:31:35 INFO ServiceEngine:44 - file gCube parameter before: shared /gcube 2016-04-22 12:31:35 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-22 12:31:35 DEBUG BucketCoding:42 - coding name done 2016-04-22 12:31:35 DEBUG ServiceEngine:62 - path(String) - name: test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] 2016-04-22 12:31:35 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/ 2016-04-22 12:31:35 INFO ServiceEngine:52 - file gCube parameter after: shared /gcube 2016-04-22 12:31:35 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-22 12:31:35 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= shared file..getGcubeAccessType() shared 2016-04-22 12:31:35 INFO OperationFactory:39 - getOperation(String) - start getHttpUrl 2016-04-22 12:31:35 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-22 12:31:35 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-22 12:31:35 DEBUG BucketCoding:42 - coding name done 2016-04-22 12:31:35 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-22 12:31:35 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-22 12:31:35 DEBUG MongoIO:77 - open mongo connection 2016-04-22 12:31:35 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-22 12:31:35 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:31:35 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:31:35 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:31:35 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@7b331bf5, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5d839ad4, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@6b2a0442, socketFactory=javax.net.DefaultSocketFactory@137dc005, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-22 12:31:35 INFO MongoIO:106 - new mongo connection pool opened 2016-04-22 12:31:35 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-22 12:31:35 INFO connection:71 - Opened connection [connectionId{localValue:26, serverValue:49817}] to mongo2-d-d4s.d4science.org:27017 2016-04-22 12:31:35 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-22 12:31:35 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1184337, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:31:35 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-22 12:31:35 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:31:35 INFO connection:71 - Opened connection [connectionId{localValue:27, serverValue:1642300}] to mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:35 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:31:35 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:35 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:31:35 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1009852, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:31:35 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:35 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:31:35 INFO connection:71 - Opened connection [connectionId{localValue:29, serverValue:1947376}] to mongo1-d-d4s.d4science.org:27017 2016-04-22 12:31:35 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-22 12:31:35 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=958575, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:31:35 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:31:35 INFO connection:71 - Opened connection [connectionId{localValue:28, serverValue:1360793}] to mongo4-d-d4s.d4science.org:27017 2016-04-22 12:31:35 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-22 12:31:35 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1315275, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:31:35 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}] 2016-04-22 12:31:35 INFO connection:71 - Opened connection [connectionId{localValue:30, serverValue:1642301}] to mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:35 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:30, serverValue:1642301}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:35 DEBUG command:56 - Command execution completed 2016-04-22 12:31:35 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:30, serverValue:1642301}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:35 DEBUG command:56 - Command execution completed 2016-04-22 12:31:35 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:30, serverValue:1642301}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:35 DEBUG command:56 - Command execution completed 2016-04-22 12:31:35 DEBUG DefaultMongoClient:1405 - MongoDB - pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] 2016-04-22 12:31:35 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] 2016-04-22 12:31:35 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:30, serverValue:1642301}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:35 DEBUG command:56 - Command execution completed 2016-04-22 12:31:35 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:30, serverValue:1642301}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:35 DEBUG command:56 - Command execution completed 2016-04-22 12:31:35 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] 2016-04-22 12:31:35 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:30, serverValue:1642301}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:35 DEBUG query:56 - Query completed 2016-04-22 12:31:35 INFO MongoIO:186 - object found test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] 2016-04-22 12:31:35 DEBUG connection:56 - Closing connection connectionId{localValue:29, serverValue:1947376} 2016-04-22 12:31:35 DEBUG connection:56 - Closing connection connectionId{localValue:26, serverValue:49817} 2016-04-22 12:31:35 INFO connection:71 - Closed connection [connectionId{localValue:30, serverValue:1642301}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-22 12:31:35 DEBUG connection:56 - Closing connection connectionId{localValue:28, serverValue:1360793} 2016-04-22 12:31:35 DEBUG connection:56 - Closing connection connectionId{localValue:30, serverValue:1642301} 2016-04-22 12:31:35 INFO MongoIO:508 - Mongo has been closed 2016-04-22 12:31:35 DEBUG connection:56 - Closing connection connectionId{localValue:27, serverValue:1642300} 2016-04-22 12:31:35 DEBUG Operation:81 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/test_[DBSCAN_ID_2f102ace-6fec-447f-a2ba-47c46d30d0a3] 2016-04-22 12:31:35 INFO Operation:55 - URL generated: smp://data-d.d4science.org/fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc= 2016-04-22 12:31:35 INFO Operation:57 - URL generated: smp://data-d.d4science.org/fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc= 2016-04-22 12:31:35 DEBUG Operation:87 - translating: http://data-d.d4science.org/fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc= 2016-04-22 12:31:35 DEBUG Operation:90 - base Url extracted is: http://data-d.d4science.org/ 2016-04-22 12:31:35 DEBUG Operation:93 - get params: http://data-d.d4science.org/ fRpVnSxTeslqRhXgJVwDGrQpXyTYZnjJGmbP5+HKCzc= 2016-04-22 12:31:35 INFO Operation:99 - uri translated in http url: http://data-d.d4science.org/ZlJwVm5TeFRlc2xxUmhYZ0pWd0RHclFwWHlUWVpuakpHbWJQNStIS0N6Yz0 2016-04-22 12:31:35 INFO Operation:65 - URL translated: http://data-d.d4science.org/ZlJwVm5TeFRlc2xxUmhYZ0pWd0RHclFwWHlUWVpuakpHbWJQNStIS0N6Yz0 2016-04-22 12:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:31:43 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-22 12:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-22 12:31:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:31:43 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:31:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:31:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:31:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:31:43 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:31:43 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-22 12:31:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:31:43 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:31:43 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:31:43 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:31:43 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:31:43 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:31:43 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:31:43 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-22 12:31:43 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-22 12:31:43 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-22 12:31:43 INFO JCRServlets:697 - Calling Servlet get Parents By Id 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-22 12:31:43 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-22 12:31:44 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-22 12:31:44 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-22 12:31:44 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=9258832c-2cd0-45cb-9625-0ae9f6fa3662, name=Output Data Sets, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null] 2016-04-22 12:31:44 DEBUG WorkspaceExplorerServiceImpl:428 - item and parent limit are identical element, returning 2016-04-22 12:31:44 INFO WorkspaceExplorerServiceImpl:188 - end time - 82 msc 0 sec 2016-04-22 12:31:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:31:55 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-22 12:31:55 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-22 12:31:55 DEBUG DataMinerManagerServiceImpl:425 - GetPublicLink(): ItemDescription [id=5db7f399-cfdc-46d2-9fa6-866fabe2ee21, name=Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27], owner=giancarlo.panichi, path=/Workspace/DataMiner/Output Data Sets/Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27], type=EXTERNAL_FILE, publicLink=null] 2016-04-22 12:31:55 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-22 12:31:55 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-22 12:31:55 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-22 12:31:55 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-22 12:31:55 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-22 12:31:55 DEBUG JCRHomeManager:97 - User is already logged 2016-04-22 12:31:55 INFO JCRServlets:267 - Servlet getItemById 5db7f399-cfdc-46d2-9fa6-866fabe2ee21 2016-04-22 12:31:56 INFO JCRWorkspaceItem:998 - get PublicLink for item: Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27] 2016-04-22 12:31:56 INFO ServiceEngine:34 - file gCube parameter costructor: shared /gcube 2016-04-22 12:31:56 INFO ServiceEngine:44 - file gCube parameter before: shared /gcube 2016-04-22 12:31:56 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27] rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-22 12:31:56 DEBUG BucketCoding:42 - coding name done 2016-04-22 12:31:56 DEBUG ServiceEngine:62 - path(String) - name: Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27] 2016-04-22 12:31:56 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/ 2016-04-22 12:31:56 INFO ServiceEngine:52 - file gCube parameter after: shared /gcube 2016-04-22 12:31:56 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-22 12:31:56 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= shared file..getGcubeAccessType() shared 2016-04-22 12:31:56 INFO OperationFactory:39 - getOperation(String) - start getHttpUrl 2016-04-22 12:31:56 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-22 12:31:56 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27] rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-22 12:31:56 DEBUG BucketCoding:42 - coding name done 2016-04-22 12:31:56 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-22 12:31:56 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-22 12:31:56 DEBUG MongoIO:77 - open mongo connection 2016-04-22 12:31:56 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-22 12:31:56 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:31:56 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:31:56 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:31:56 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@7b331bf5, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@5d839ad4, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@6b2a0442, socketFactory=javax.net.DefaultSocketFactory@137dc005, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-22 12:31:56 INFO MongoIO:106 - new mongo connection pool opened 2016-04-22 12:31:56 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-22 12:31:56 INFO connection:71 - Opened connection [connectionId{localValue:31, serverValue:49820}] to mongo2-d-d4s.d4science.org:27017 2016-04-22 12:31:56 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-22 12:31:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1281641, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:31:56 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-22 12:31:56 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:31:56 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-22 12:31:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:31:56 INFO connection:71 - Opened connection [connectionId{localValue:34, serverValue:1947381}] to mongo1-d-d4s.d4science.org:27017 2016-04-22 12:31:56 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-22 12:31:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1247706, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:31:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:31:56 INFO connection:71 - Opened connection [connectionId{localValue:32, serverValue:1642306}] to mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:56 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1372648, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:31:56 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-22 12:31:56 INFO connection:71 - Opened connection [connectionId{localValue:33, serverValue:1360799}] to mongo4-d-d4s.d4science.org:27017 2016-04-22 12:31:56 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-22 12:31:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1736113, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-22 12:31:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.7 ms, state=CONNECTED}] 2016-04-22 12:31:56 INFO connection:71 - Opened connection [connectionId{localValue:35, serverValue:1642307}] to mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:56 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:35, serverValue:1642307}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:56 DEBUG command:56 - Command execution completed 2016-04-22 12:31:56 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:35, serverValue:1642307}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:56 DEBUG command:56 - Command execution completed 2016-04-22 12:31:56 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:35, serverValue:1642307}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:56 DEBUG command:56 - Command execution completed 2016-04-22 12:31:56 DEBUG DefaultMongoClient:1405 - MongoDB - pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27] 2016-04-22 12:31:56 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27] 2016-04-22 12:31:56 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:35, serverValue:1642307}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:56 DEBUG command:56 - Command execution completed 2016-04-22 12:31:56 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:35, serverValue:1642307}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:56 DEBUG command:56 - Command execution completed 2016-04-22 12:31:56 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27] 2016-04-22 12:31:56 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:35, serverValue:1642307}] to server mongo3-d-d4s.d4science.org:27017 2016-04-22 12:31:56 DEBUG query:56 - Query completed 2016-04-22 12:31:56 INFO MongoIO:186 - object found Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27] 2016-04-22 12:31:56 DEBUG connection:56 - Closing connection connectionId{localValue:34, serverValue:1947381} 2016-04-22 12:31:56 DEBUG connection:56 - Closing connection connectionId{localValue:31, serverValue:49820} 2016-04-22 12:31:56 DEBUG connection:56 - Closing connection connectionId{localValue:33, serverValue:1360799} 2016-04-22 12:31:56 INFO connection:71 - Closed connection [connectionId{localValue:35, serverValue:1642307}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-22 12:31:56 DEBUG connection:56 - Closing connection connectionId{localValue:35, serverValue:1642307} 2016-04-22 12:31:56 INFO MongoIO:508 - Mongo has been closed 2016-04-22 12:31:56 DEBUG connection:56 - Closing connection connectionId{localValue:32, serverValue:1642306} 2016-04-22 12:31:56 DEBUG Operation:81 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets/Test_[DBSCAN_ID_31560712-cd81-4ea4-864b-86d8fd777d27] 2016-04-22 12:31:56 INFO Operation:55 - URL generated: smp://data-d.d4science.org/99aufvuENmdqRhXgJVwDGsRrgt76P5QAGmbP5+HKCzc= 2016-04-22 12:31:56 INFO Operation:57 - URL generated: smp://data-d.d4science.org/99aufvuENmdqRhXgJVwDGsRrgt76P5QAGmbP5+HKCzc= 2016-04-22 12:31:56 DEBUG Operation:87 - translating: http://data-d.d4science.org/99aufvuENmdqRhXgJVwDGsRrgt76P5QAGmbP5+HKCzc= 2016-04-22 12:31:56 DEBUG Operation:90 - base Url extracted is: http://data-d.d4science.org/ 2016-04-22 12:31:56 DEBUG Operation:93 - get params: http://data-d.d4science.org/ 99aufvuENmdqRhXgJVwDGsRrgt76P5QAGmbP5+HKCzc= 2016-04-22 12:31:56 INFO Operation:99 - uri translated in http url: http://data-d.d4science.org/OTlhdWZ2dUVObWRxUmhYZ0pWd0RHc1JyZ3Q3NlA1UUFHbWJQNStIS0N6Yz0 2016-04-22 12:31:56 INFO Operation:65 - URL translated: http://data-d.d4science.org/OTlhdWZ2dUVObWRxUmhYZ0pWd0RHc1JyZ3Q3NlA1UUFHbWJQNStIS0N6Yz0 2016-04-22 12:32:12 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-22 12:32:12 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-22 12:33:07 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-22 12:33:07 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 10:28:46 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-26 10:28:46 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-26 10:28:46 INFO DataMinerManagerServiceImpl:71 - DataMinerManager started! 2016-04-26 10:28:46 INFO SessionUtil:49 - no user found in session, use test user 2016-04-26 10:28:46 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-26 10:28:46 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-26 10:28:46 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-26 10:28:46 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@50eb48cc 2016-04-26 10:28:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-26 10:28:46 INFO ASLSession:352 - Logging the entrance 2016-04-26 10:28:46 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-26 10:28:46 DEBUG TemplateModel:83 - 2016-04-26 10:28:46, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-26 10:28:46 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 10:28:46 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-26 10:28:48 INFO SessionUtil:49 - no user found in session, use test user 2016-04-26 10:28:48 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-26 10:28:48 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 10:28:48 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-26 10:28:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 10:28:48 INFO ASLSession:352 - Logging the entrance 2016-04-26 10:28:48 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-26 10:28:48 DEBUG TemplateModel:83 - 2016-04-26 10:28:48, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-26 10:28:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 10:28:48 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-26 10:28:48 INFO DefaultScanner:63 - matched 28 resources from 112 urls in 157 ms 2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-26 10:28:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-26 10:28:49 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-26 10:28:49 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-26 10:28:49 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-26 10:28:49 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@95c424f 2016-04-26 10:28:49 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@3c4d3035 2016-04-26 10:28:49 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@15495baf 2016-04-26 10:28:49 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@c2bca93 2016-04-26 10:28:49 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 297 ms 2016-04-26 10:28:49 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-26 10:28:49 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-26 10:28:49 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-26 10:28:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 10:28:49 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 10:28:49 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 10:28:49 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea() 2016-04-26 10:28:49 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:28:49 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:28:50 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-26 10:28:50 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-26 10:28:50 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-26 10:28:50 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-26 10:28:50 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-26 10:28:50 DEBUG JCRRepository:271 - Initialize repository 2016-04-26 10:28:50 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-26 10:28:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 32 2016-04-26 10:28:50 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-26 10:28:50 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-26 10:28:50 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-26 10:28:50 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 10:28:50 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-26 10:28:50 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-26 10:28:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 10:28:50 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-26 10:28:50 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-26 10:28:50 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 22 ms 2016-04-26 10:28:50 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-26 10:28:50 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 10:28:50 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-26 10:28:50 INFO StatWPSClientSession:84 - CONNECT 2016-04-26 10:28:50 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 86 ms 2016-04-26 10:28:50 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-26 10:28:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 10:28:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:28:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:28:50 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-26 10:28:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:28:50 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-26 10:28:51 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-26 10:28:51 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 10:28:51 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-26 10:28:51 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-26 10:28:51 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-26 10:28:51 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-26 10:28:51 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-26 10:28:51 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-26 10:28:51 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-26 10:28:51 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:28:51 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:28:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:28:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:28:51 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-26 10:28:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-26 10:28:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:28:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:28:51 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:28:51 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:28:51 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:28:51 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:28:51 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:28:51 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:28:51 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-26 10:28:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-26 10:28:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:28:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:28:51 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:28:51 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:28:51 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:28:51 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:28:51 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:28:51 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:28:51 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-26 10:28:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-26 10:28:52 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:28:52 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:28:52 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:28:52 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:28:52 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:28:52 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:28:52 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:28:52 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:28:52 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-26 10:28:52 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-26 10:28:52 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:28:52 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:28:52 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-26 10:28:52 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-26 10:28:52 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-26 10:28:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 10:28:52 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 10:28:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 10:28:52 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:28:52 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:28:52 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:28:52 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:28:52 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:28:52 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:28:52 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-26 10:28:52 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:28:52 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:28:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:28:52 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 10:28:52 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:28:52 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:28:52 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:28:52 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:28:52 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:28:52 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:28:52 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:28:53 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-26 10:28:53 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:28:53 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:28:53 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-26 10:28:53 INFO WorkspaceExplorerServiceImpl:188 - end time - 300 msc 0 sec 2016-04-26 10:28:53 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:28:53 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-26 10:28:53 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-26 10:28:53 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 27 ms 2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-26 10:28:53 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-26 10:28:53 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-26 10:28:53 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms 2016-04-26 10:28:53 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-26 10:28:53 INFO ISClientConnector:82 - found only one RR, take it 2016-04-26 10:28:53 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-26 10:28:53 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-26 10:28:53 DEBUG StorageClient:517 - set scope: /gcube 2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-26 10:28:53 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-26 10:28:53 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-26 10:28:53 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 33 2016-04-26 10:28:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:28:53 INFO WorkspaceExplorerServiceImpl:188 - end time - 312 msc 0 sec 2016-04-26 10:29:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 10:29:41 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 10:30:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 10:30:36 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 10:30:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 10:30:40 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 10:30:40 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 10:30:40 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN 2016-04-26 10:30:40 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 10:30:40 INFO StatWPSClientSession:84 - CONNECT 2016-04-26 10:30:43 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-26 10:30:43 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-26 10:30:43 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-26 10:30:43 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-26 10:30:43 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-26 10:30:43 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-26 10:30:43 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-26 10:30:43 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-26 10:30:43 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-26 10:30:43 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-26 10:30:43 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 10:30:43 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-26 10:30:43 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-26 10:30:43 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-26 10:30:43 DEBUG WPS2SM:201 - Schema: null 2016-04-26 10:30:43 DEBUG WPS2SM:202 - Encoding: null 2016-04-26 10:30:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-26 10:30:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-26 10:30:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 10:30:43 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-26 10:30:43 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-26 10:30:43 DEBUG WPS2SM:93 - WPS type: 2016-04-26 10:30:43 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 10:30:43 DEBUG WPS2SM:101 - Guessed default value: 2016-04-26 10:30:43 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-26 10:30:43 DEBUG WPS2SM:112 - Machter find: true 2016-04-26 10:30:43 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-26 10:30:43 DEBUG WPS2SM:114 - Machter start: 31 2016-04-26 10:30:43 DEBUG WPS2SM:115 - Machter end: 103 2016-04-26 10:30:43 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-26 10:30:43 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-26 10:30:43 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-26 10:30:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-26 10:30:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-26 10:30:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 10:30:43 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-26 10:30:43 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-26 10:30:43 DEBUG WPS2SM:93 - WPS type: 2016-04-26 10:30:43 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 10:30:43 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-26 10:30:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-26 10:30:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-26 10:30:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 10:30:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-26 10:30:43 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-26 10:30:43 DEBUG WPS2SM:93 - WPS type: 2016-04-26 10:30:43 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-26 10:30:43 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-26 10:30:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-26 10:30:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-26 10:30:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 10:30:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-26 10:30:43 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-26 10:30:43 DEBUG WPS2SM:93 - WPS type: 2016-04-26 10:30:43 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-26 10:30:43 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-26 10:30:43 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-26 10:30:43 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-26 10:30:43 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 10:30:43 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-26 10:30:43 DEBUG SClient4WPS:650 - Parameters: [TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]] 2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:30:44 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:30:44 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 10:30:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:30:44 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 10:30:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:30:44 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:30:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:30:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:30:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:30:44 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:30:44 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-26 10:30:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:30:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:30:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:30:44 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:30:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 10:30:44 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 10:30:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:30:44 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:30:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:30:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:30:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:30:44 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:30:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 10:30:44 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 10:30:44 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:30:44 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:30:44 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:30:44 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:30:44 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:30:44 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:30:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:30:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 10:30:44 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 10:30:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:30:44 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:30:44 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 10:30:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:30:44 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:30:44 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:30:44 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-26 10:30:44 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-26 10:30:44 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-26 10:30:44 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-26 10:30:44 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-26 10:30:44 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-26 10:30:44 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-26 10:30:44 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-26 10:30:44 INFO WorkspaceExplorerServiceImpl:142 - end time - 496 msc 0 sec 2016-04-26 10:30:44 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-26 10:30:54 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 10:30:54 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 10:30:54 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 10:30:54 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:30:54 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:30:54 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:30:54 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:30:54 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:30:54 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:30:54 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 10:30:54 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 10:30:54 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:30:54 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:30:54 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:30:54 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:30:54 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:30:54 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:30:54 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 10:30:54 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 10:30:54 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi 2016-04-26 10:30:54 DEBUG ServiceEngine:306 - get() - start 2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-26 10:30:54 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-26 10:30:54 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:30:54 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:30:54 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:30:54 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:30:54 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:30:54 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:30:54 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 10:30:54 DEBUG BucketCoding:42 - coding name done 2016-04-26 10:30:54 DEBUG ServiceEngine:62 - path(String) - name: StatisticalTest 2016-04-26 10:30:54 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/ 2016-04-26 10:30:54 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-26 10:30:54 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null 2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 10:30:54 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 10:30:54 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 10:30:54 INFO OperationFactory:39 - getOperation(String) - start getFolderSize 2016-04-26 10:30:54 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:30:54 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:30:54 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-26 10:30:54 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:30:54 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:30:54 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:30:54 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:30:54 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/ 2016-04-26 10:30:54 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 10:30:54 DEBUG BucketCoding:42 - coding name done 2016-04-26 10:30:54 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-26 10:30:54 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-26 10:30:54 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 10:30:54 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 10:30:54 DEBUG MongoIO:77 - open mongo connection 2016-04-26 10:30:55 INFO JCRServlets:697 - Calling Servlet get Parents By Id 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi 2016-04-26 10:30:55 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi 2016-04-26 10:30:55 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-26 10:30:55 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:30:55 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-26 10:30:55 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null] 2016-04-26 10:30:55 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null] 2016-04-26 10:30:55 INFO WorkspaceExplorerServiceImpl:188 - end time - 151 msc 0 sec 2016-04-26 10:30:55 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:30:55 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:30:55 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@fcac21b6, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@f3ffa0f, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@3139f69b, socketFactory=javax.net.DefaultSocketFactory@546d535c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-26 10:30:55 INFO MongoIO:106 - new mongo connection pool opened 2016-04-26 10:30:55 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-26 10:30:55 INFO connection:71 - Opened connection [connectionId{localValue:2, serverValue:107424}] to mongo2-d-d4s.d4science.org:27017 2016-04-26 10:30:55 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-26 10:30:55 INFO connection:71 - Opened connection [connectionId{localValue:1, serverValue:1700494}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:55 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:55 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1244386, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:30:55 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1377132, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:30:55 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-26 10:30:55 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:30:55 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:30:55 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:55 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:30:55 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:30:55 INFO connection:71 - Opened connection [connectionId{localValue:5, serverValue:1700495}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:55 INFO connection:71 - Opened connection [connectionId{localValue:4, serverValue:2004630}] to mongo1-d-d4s.d4science.org:27017 2016-04-26 10:30:55 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-26 10:30:55 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=948005, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:30:55 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:30:55 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700495}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:55 DEBUG command:56 - Command execution completed 2016-04-26 10:30:55 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700495}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:55 DEBUG command:56 - Command execution completed 2016-04-26 10:30:55 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700495}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:55 DEBUG command:56 - Command execution completed 2016-04-26 10:30:55 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest 2016-04-26 10:30:55 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700495}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:55 DEBUG command:56 - Command execution completed 2016-04-26 10:30:55 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700495}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:55 DEBUG command:56 - Command execution completed 2016-04-26 10:30:55 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:5, serverValue:1700495}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:55 INFO connection:71 - Opened connection [connectionId{localValue:3, serverValue:1418057}] to mongo4-d-d4s.d4science.org:27017 2016-04-26 10:30:55 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-26 10:30:55 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1495793, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:30:55 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}] 2016-04-26 10:30:56 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-26 10:30:56 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 10:30:56 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 10:30:56 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:30:56 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:30:56 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:30:56 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:30:56 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-26 10:30:56 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 10:30:56 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 10:30:56 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:30:56 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:30:56 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:30:56 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:30:56 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:30:56 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:30:56 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:30:56 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-26 10:30:56 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-26 10:30:56 INFO JCRServlets:142 - Calling servlet getChildrenById 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi 2016-04-26 10:30:56 DEBUG ServiceEngine:306 - get() - start 2016-04-26 10:30:56 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 10:30:56 DEBUG BucketCoding:42 - coding name done 2016-04-26 10:30:56 DEBUG ServiceEngine:62 - path(String) - name: DBScan 2016-04-26 10:30:56 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/ 2016-04-26 10:30:56 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-26 10:30:56 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null 2016-04-26 10:30:56 INFO OperationFactory:39 - getOperation(String) - start getFolderSize 2016-04-26 10:30:56 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-26 10:30:56 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ 2016-04-26 10:30:56 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 10:30:56 DEBUG BucketCoding:42 - coding name done 2016-04-26 10:30:56 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-26 10:30:56 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-26 10:30:56 DEBUG MongoIO:77 - open mongo connection 2016-04-26 10:30:56 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-26 10:30:56 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:30:56 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:30:56 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:30:56 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@fcac21b6, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@f3ffa0f, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@3139f69b, socketFactory=javax.net.DefaultSocketFactory@546d535c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-26 10:30:56 INFO MongoIO:106 - new mongo connection pool opened 2016-04-26 10:30:56 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:30:56 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:30:56 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:30:56 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:30:56 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:30:56 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:30:56 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:30:56 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-26 10:30:56 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-26 10:30:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-26 10:30:56 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:30:56 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:30:56 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:30:56 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:30:56 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:30:56 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:30:56 INFO connection:71 - Opened connection [connectionId{localValue:7, serverValue:1700496}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:56 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:56 INFO connection:71 - Opened connection [connectionId{localValue:6, serverValue:107425}] to mongo2-d-d4s.d4science.org:27017 2016-04-26 10:30:56 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-26 10:30:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1802419, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:30:56 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-26 10:30:56 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-26 10:30:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=9607220, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:30:56 INFO JCRServlets:267 - Servlet getItemById 7ba62008-739a-4787-ae33-7938ad109a54 2016-04-26 10:30:56 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:30:56 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:30:56 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:30:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=9.6 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:30:56 INFO connection:71 - Opened connection [connectionId{localValue:9, serverValue:2004631}] to mongo1-d-d4s.d4science.org:27017 2016-04-26 10:30:56 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-26 10:30:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=963164, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:30:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=9.6 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:30:56 INFO connection:71 - Opened connection [connectionId{localValue:8, serverValue:1418058}] to mongo4-d-d4s.d4science.org:27017 2016-04-26 10:30:56 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-26 10:30:56 INFO JCRServlets:697 - Calling Servlet get Parents By Id 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi 2016-04-26 10:30:56 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=2250914, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:30:56 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=9.6 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=2.3 ms, state=CONNECTED}] 2016-04-26 10:30:56 INFO connection:71 - Opened connection [connectionId{localValue:10, serverValue:1700497}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:56 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700497}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:56 DEBUG command:56 - Command execution completed 2016-04-26 10:30:56 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700497}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:56 DEBUG command:56 - Command execution completed 2016-04-26 10:30:56 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700497}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:56 DEBUG command:56 - Command execution completed 2016-04-26 10:30:56 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan 2016-04-26 10:30:56 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700497}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:56 INFO JCRServlets:142 - Calling servlet getChildrenById 7ba62008-739a-4787-ae33-7938ad109a54 by giancarlo.panichi 2016-04-26 10:30:56 DEBUG command:56 - Command execution completed 2016-04-26 10:30:56 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700497}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:56 DEBUG command:56 - Command execution completed 2016-04-26 10:30:56 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:10, serverValue:1700497}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:30:56 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 10:30:56 INFO WorkspaceExplorerServiceImpl:188 - end time - 69 msc 0 sec 2016-04-26 10:30:56 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=7ba62008-739a-4787-ae33-7938ad109a54, name=DBScan, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null] 2016-04-26 10:30:56 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-26 10:30:56 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null] 2016-04-26 10:30:56 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null] 2016-04-26 10:30:56 DEBUG query:56 - Query completed 2016-04-26 10:30:56 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 7 objects 2016-04-26 10:30:56 DEBUG connection:56 - Closing connection connectionId{localValue:4, serverValue:2004630} 2016-04-26 10:30:56 DEBUG connection:56 - Closing connection connectionId{localValue:2, serverValue:107424} 2016-04-26 10:30:56 INFO connection:71 - Closed connection [connectionId{localValue:5, serverValue:1700495}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-26 10:30:56 DEBUG connection:56 - Closing connection connectionId{localValue:3, serverValue:1418057} 2016-04-26 10:30:56 DEBUG connection:56 - Closing connection connectionId{localValue:5, serverValue:1700495} 2016-04-26 10:30:56 DEBUG connection:56 - Closing connection connectionId{localValue:1, serverValue:1700494} 2016-04-26 10:30:56 INFO MongoIO:508 - Mongo has been closed 2016-04-26 10:30:56 INFO DefaultMongoClient:1329 - getFolderTotalVolume 130827 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest 2016-04-26 10:30:56 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest 2016-04-26 10:30:56 INFO WorkspaceExplorerServiceImpl:503 - returning size: 130827 2016-04-26 10:30:57 DEBUG query:56 - Query completed 2016-04-26 10:30:57 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 1 objects 2016-04-26 10:30:57 DEBUG connection:56 - Closing connection connectionId{localValue:9, serverValue:2004631} 2016-04-26 10:30:57 DEBUG connection:56 - Closing connection connectionId{localValue:6, serverValue:107425} 2016-04-26 10:30:57 INFO connection:71 - Closed connection [connectionId{localValue:10, serverValue:1700497}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-26 10:30:57 DEBUG connection:56 - Closing connection connectionId{localValue:8, serverValue:1418058} 2016-04-26 10:30:57 DEBUG connection:56 - Closing connection connectionId{localValue:10, serverValue:1700497} 2016-04-26 10:30:57 INFO MongoIO:508 - Mongo has been closed 2016-04-26 10:30:57 INFO DefaultMongoClient:1329 - getFolderTotalVolume 849 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan 2016-04-26 10:30:57 DEBUG connection:56 - Closing connection connectionId{localValue:7, serverValue:1700496} 2016-04-26 10:30:57 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan 2016-04-26 10:30:57 INFO WorkspaceExplorerServiceImpl:503 - returning size: 849 2016-04-26 10:30:57 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-26 10:30:57 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-26 10:30:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-26 10:30:57 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-26 10:30:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-26 10:30:57 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:30:57 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:30:57 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:30:57 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:30:57 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:30:57 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:30:57 INFO WorkspaceExplorerServiceImpl:518 - get MimeType By ItemId 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-26 10:30:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 10:30:57 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 10:30:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 10:30:57 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:30:57 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:30:57 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:30:57 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:30:57 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:30:57 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:30:57 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-26 10:30:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:30:57 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 10:30:57 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:30:57 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:30:57 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:30:57 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:30:57 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:30:57 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:30:57 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:30:57 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-26 10:30:57 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-26 10:30:57 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-26 10:30:57 INFO WorkspaceExplorerServiceImpl:503 - returning size: 849 2016-04-26 10:31:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 10:31:01 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 10:31:01 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 10:31:01 DEBUG DataMinerManagerServiceImpl:387 - retrieveTableInformation(): Item [id=13d0382e-8833-4df7-b4dc-61bbba61b3e5, name=hcaf_filtered.csv, type=EXTERNAL_FILE, path=/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv, children=[], owner=giancarlo.panichi, isFolder=false, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=Wed Mar 09 17:10:22 CET 2016] 2016-04-26 10:31:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:31:01 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:31:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:31:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:31:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:31:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:31:01 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-26 10:31:01 DEBUG ServiceEngine:193 - get() - start 2016-04-26 10:31:01 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 10:31:01 DEBUG BucketCoding:42 - coding name done 2016-04-26 10:31:01 DEBUG ServiceEngine:62 - path(String) - name: hcaf_filtered.csv 2016-04-26 10:31:01 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ 2016-04-26 10:31:01 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-26 10:31:01 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null 2016-04-26 10:31:01 INFO OperationFactory:39 - getOperation(String) - start download 2016-04-26 10:31:01 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-26 10:31:01 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 10:31:01 DEBUG BucketCoding:42 - coding name done 2016-04-26 10:31:01 DEBUG Download:57 - DOWNLOAD /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv in bucket: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-26 10:31:01 DEBUG Operation:173 - get(String) - start 2016-04-26 10:31:01 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-26 10:31:01 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-26 10:31:01 DEBUG MongoIO:77 - open mongo connection 2016-04-26 10:31:01 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:31:01 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@fcac21b6, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@f3ffa0f, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@3139f69b, socketFactory=javax.net.DefaultSocketFactory@546d535c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-26 10:31:01 INFO MongoIO:106 - new mongo connection pool opened 2016-04-26 10:31:01 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:12, serverValue:1700499}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1349657, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:31:01 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:31:01 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:14, serverValue:2004633}] to mongo1-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=985670, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:11, serverValue:107428}] to mongo2-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1382445, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:13, serverValue:1418059}] to mongo4-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1289356, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}] 2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:15, serverValue:1700500}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG command:56 - Command execution completed 2016-04-26 10:31:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG command:56 - Command execution completed 2016-04-26 10:31:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG command:56 - Command execution completed 2016-04-26 10:31:01 INFO DefaultMongoClient:96 - MongoClient get method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM] 2016-04-26 10:31:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG command:56 - Command execution completed 2016-04-26 10:31:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG command:56 - Command execution completed 2016-04-26 10:31:01 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-26 10:31:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG command:56 - Command execution completed 2016-04-26 10:31:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG command:56 - Command execution completed 2016-04-26 10:31:01 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-26 10:31:01 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG query:56 - Query completed 2016-04-26 10:31:01 INFO MongoIO:186 - object found hcaf_filtered.csv 2016-04-26 10:31:01 INFO DefaultMongoClient:1047 - MongoClient download method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM] 2016-04-26 10:31:01 INFO DefaultMongoClient:1491 - set last operation: DOWNLOAD 2016-04-26 10:31:01 DEBUG update:56 - Updating documents in namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG update:56 - Update completed 2016-04-26 10:31:01 DEBUG query:56 - Sending query of namespace remotefs.fs.chunks on connection [connectionId{localValue:15, serverValue:1700500}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG query:56 - Query completed 2016-04-26 10:31:01 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:31:01 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:31:01 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:31:01 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:31:01 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:31:01 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:31:01 INFO JCRServlets:267 - Servlet getItemById 13d0382e-8833-4df7-b4dc-61bbba61b3e5 2016-04-26 10:31:01 INFO JCRWorkspaceItem:998 - get PublicLink for item: hcaf_filtered.csv 2016-04-26 10:31:01 INFO ServiceEngine:34 - file gCube parameter costructor: shared /gcube 2016-04-26 10:31:01 INFO ServiceEngine:44 - file gCube parameter before: shared /gcube 2016-04-26 10:31:01 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 10:31:01 DEBUG BucketCoding:42 - coding name done 2016-04-26 10:31:01 DEBUG ServiceEngine:62 - path(String) - name: hcaf_filtered.csv 2016-04-26 10:31:01 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/ 2016-04-26 10:31:01 INFO ServiceEngine:52 - file gCube parameter after: shared /gcube 2016-04-26 10:31:01 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-26 10:31:01 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= shared file..getGcubeAccessType() shared 2016-04-26 10:31:01 INFO OperationFactory:39 - getOperation(String) - start getHttpUrl 2016-04-26 10:31:01 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-26 10:31:01 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 10:31:01 DEBUG BucketCoding:42 - coding name done 2016-04-26 10:31:01 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-26 10:31:01 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-26 10:31:01 DEBUG MongoIO:77 - open mongo connection 2016-04-26 10:31:01 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:31:01 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@fcac21b6, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@f3ffa0f, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@3139f69b, socketFactory=javax.net.DefaultSocketFactory@546d535c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-26 10:31:01 INFO MongoIO:106 - new mongo connection pool opened 2016-04-26 10:31:01 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:16, serverValue:107429}] to mongo2-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1267434, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:31:01 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:31:01 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:19, serverValue:2004634}] to mongo1-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:17, serverValue:1700501}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=843903, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.8 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1479763, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:31:01 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.8 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:18, serverValue:1418060}] to mongo4-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-26 10:31:01 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1706920, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 10:31:01 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.8 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.7 ms, state=CONNECTED}] 2016-04-26 10:31:01 INFO connection:71 - Opened connection [connectionId{localValue:20, serverValue:1700502}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700502}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG command:56 - Command execution completed 2016-04-26 10:31:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700502}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG command:56 - Command execution completed 2016-04-26 10:31:01 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700502}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG command:56 - Command execution completed 2016-04-26 10:31:01 DEBUG DefaultMongoClient:1405 - MongoDB - pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-26 10:31:01 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-26 10:31:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700502}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG command:56 - Command execution completed 2016-04-26 10:31:01 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700502}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG command:56 - Command execution completed 2016-04-26 10:31:01 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-26 10:31:01 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:20, serverValue:1700502}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 10:31:01 DEBUG query:56 - Query completed 2016-04-26 10:31:01 INFO MongoIO:186 - object found hcaf_filtered.csv 2016-04-26 10:31:01 DEBUG connection:56 - Closing connection connectionId{localValue:19, serverValue:2004634} 2016-04-26 10:31:01 DEBUG connection:56 - Closing connection connectionId{localValue:16, serverValue:107429} 2016-04-26 10:31:01 DEBUG connection:56 - Closing connection connectionId{localValue:18, serverValue:1418060} 2016-04-26 10:31:01 INFO connection:71 - Closed connection [connectionId{localValue:20, serverValue:1700502}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-26 10:31:01 DEBUG connection:56 - Closing connection connectionId{localValue:20, serverValue:1700502} 2016-04-26 10:31:01 DEBUG connection:56 - Closing connection connectionId{localValue:17, serverValue:1700501} 2016-04-26 10:31:01 INFO MongoIO:508 - Mongo has been closed 2016-04-26 10:31:01 DEBUG Operation:81 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/DBScan/hcaf_filtered.csv 2016-04-26 10:31:01 INFO Operation:55 - URL generated: smp://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc= 2016-04-26 10:31:01 INFO Operation:57 - URL generated: smp://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc= 2016-04-26 10:31:01 DEBUG Operation:87 - translating: http://data-d.d4science.org/8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc= 2016-04-26 10:31:01 DEBUG Operation:90 - base Url extracted is: http://data-d.d4science.org/ 2016-04-26 10:31:01 DEBUG Operation:93 - get params: http://data-d.d4science.org/ 8Yjj+HQc0gLVW2bfDjeAkOhqzg9XDTeiGmbP5+HKCzc= 2016-04-26 10:31:01 INFO Operation:99 - uri translated in http url: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0 2016-04-26 10:31:01 INFO Operation:65 - URL translated: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0 2016-04-26 10:31:05 DEBUG connection:56 - Closing connection connectionId{localValue:14, serverValue:2004633} 2016-04-26 10:31:05 INFO connection:71 - Closed connection [connectionId{localValue:15, serverValue:1700500}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-26 10:31:05 DEBUG connection:56 - Closing connection connectionId{localValue:15, serverValue:1700500} 2016-04-26 10:31:05 DEBUG connection:56 - Closing connection connectionId{localValue:11, serverValue:107428} 2016-04-26 10:31:05 DEBUG connection:56 - Closing connection connectionId{localValue:13, serverValue:1418059} 2016-04-26 10:31:05 DEBUG connection:56 - Closing connection connectionId{localValue:12, serverValue:1700499} 2016-04-26 10:31:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 10:31:29 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 10:31:29 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 10:31:29 DEBUG DataMinerManagerServiceImpl:149 - StartComputation(): [computationTitle=Dbscan-2016-04-26 10:30, computationDescription=Dbscan-2016-04-26 10:30, operator=Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[TabularParameter [tableName=http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0, templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST], ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=Test, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=10, value=10, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1, value=1, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT]], hasImage=false]] 2016-04-26 10:31:29 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 10:31:29 INFO StatWPSClientSession:84 - CONNECT 2016-04-26 10:31:30 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed. OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-26 10:31:30 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-26 10:31:30 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsTable Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OccurrencePointsTable. Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/xml text/xml text/csv text/plain 2016-04-26 10:31:30 DEBUG SClient4WPS:291 - WPSClient->Input: FeaturesColumnNames column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] Name of the parameter: FeaturesColumnNames. column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-26 10:31:30 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencePointsClusterLabel table name of the resulting distribution Name of the parameter: OccurrencePointsClusterLabel. table name of the resulting distribution OccCluster_ 2016-04-26 10:31:30 DEBUG SClient4WPS:291 - WPSClient->Input: epsilon DBScan epsilon parameter Name of the parameter: epsilon. DBScan epsilon parameter 10 2016-04-26 10:31:30 DEBUG SClient4WPS:291 - WPSClient->Input: min_points DBScan minimum points parameter (identifies outliers) Name of the parameter: min_points. DBScan minimum points parameter (identifies outliers) 1 2016-04-26 10:31:30 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-26 10:31:30 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] Name of the parameter: OutputTable. Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv text/csv 2016-04-26 10:31:30 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-26 10:31:30 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 10:31:30 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencePointsTable is a Complex Input 2016-04-26 10:31:30 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-26 10:31:30 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-26 10:31:30 DEBUG WPS2SM:201 - Schema: null 2016-04-26 10:31:30 DEBUG WPS2SM:202 - Encoding: null 2016-04-26 10:31:30 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-26 10:31:30 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsTable 2016-04-26 10:31:30 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 10:31:30 DEBUG SClient4WPS:681 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencePointsTable, description=Occurrence Points Table. Max 4000 points [a http link to a table in UTF-8 encoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-26 10:31:30 DEBUG WPS2SM:254 - Conversion to SM Type->FeaturesColumnNames is a Literal Input 2016-04-26 10:31:30 DEBUG WPS2SM:93 - WPS type: 2016-04-26 10:31:30 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 10:31:30 DEBUG WPS2SM:101 - Guessed default value: 2016-04-26 10:31:30 DEBUG WPS2SM:111 - Machter title: column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1] 2016-04-26 10:31:30 DEBUG WPS2SM:112 - Machter find: true 2016-04-26 10:31:30 DEBUG WPS2SM:113 - Machter group: a sequence of names of columns from OccurrencePointsTable separated by | 2016-04-26 10:31:30 DEBUG WPS2SM:114 - Machter start: 31 2016-04-26 10:31:30 DEBUG WPS2SM:115 - Machter end: 103 2016-04-26 10:31:30 DEBUG WPS2SM:116 - Machter Group Count: 2 2016-04-26 10:31:30 DEBUG WPS2SM:118 - Matcher referredTabularParameterName: OccurrencePointsTable 2016-04-26 10:31:30 DEBUG WPS2SM:121 - Matcher separator: | 2016-04-26 10:31:30 DEBUG WPS2SM:290 - Conversion to SM Type->Title:column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] 2016-04-26 10:31:30 DEBUG WPS2SM:291 - Conversion to SM Type->Name:FeaturesColumnNames 2016-04-26 10:31:30 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 10:31:30 DEBUG SClient4WPS:681 - InputParameter: Parameter [name=FeaturesColumnNames, description=column Names for the features [a sequence of names of columns from OccurrencePointsTable separated by | ] [Min N. of Entries:1; Max N. of Entries:1], typology=COLUMN_LIST] 2016-04-26 10:31:30 DEBUG WPS2SM:254 - Conversion to SM Type->OccurrencePointsClusterLabel is a Literal Input 2016-04-26 10:31:30 DEBUG WPS2SM:93 - WPS type: 2016-04-26 10:31:30 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 10:31:30 DEBUG WPS2SM:101 - Guessed default value: OccCluster_ 2016-04-26 10:31:30 DEBUG WPS2SM:290 - Conversion to SM Type->Title:table name of the resulting distribution 2016-04-26 10:31:30 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencePointsClusterLabel 2016-04-26 10:31:30 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 10:31:30 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=OccCluster_, value=null, name=OccurrencePointsClusterLabel, description=table name of the resulting distribution [Min N. of Entries:1; Max N. of Entries:1; default:OccCluster_], typology=OBJECT] 2016-04-26 10:31:30 DEBUG WPS2SM:254 - Conversion to SM Type->epsilon is a Literal Input 2016-04-26 10:31:30 DEBUG WPS2SM:93 - WPS type: 2016-04-26 10:31:30 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-26 10:31:30 DEBUG WPS2SM:101 - Guessed default value: 10 2016-04-26 10:31:30 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan epsilon parameter 2016-04-26 10:31:30 DEBUG WPS2SM:291 - Conversion to SM Type->Name:epsilon 2016-04-26 10:31:30 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 10:31:30 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=10, value=null, name=epsilon, description=DBScan epsilon parameter [Min N. of Entries:1; Max N. of Entries:1; default:10], typology=OBJECT] 2016-04-26 10:31:30 DEBUG WPS2SM:254 - Conversion to SM Type->min_points is a Literal Input 2016-04-26 10:31:30 DEBUG WPS2SM:93 - WPS type: 2016-04-26 10:31:30 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-26 10:31:30 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-26 10:31:30 DEBUG WPS2SM:290 - Conversion to SM Type->Title:DBScan minimum points parameter (identifies outliers) 2016-04-26 10:31:30 DEBUG WPS2SM:291 - Conversion to SM Type->Name:min_points 2016-04-26 10:31:30 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 10:31:30 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1, value=null, name=min_points, description=DBScan minimum points parameter (identifies outliers) [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-26 10:31:30 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencePointsTable, value=http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0 2016-04-26 10:31:30 DEBUG SClient4WPS:689 - UserInputs= key:FeaturesColumnNames, value=depthmean|sstmnmax|salinitymean 2016-04-26 10:31:30 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencePointsClusterLabel, value=Test 2016-04-26 10:31:30 DEBUG SClient4WPS:689 - UserInputs= key:epsilon, value=10 2016-04-26 10:31:30 DEBUG SClient4WPS:689 - UserInputs= key:min_points, value=1 2016-04-26 10:31:30 DEBUG SClient4WPS:748 - Configuring Complex: OccurrencePointsTable to: http://data-d.d4science.org/OFlqaitIUWMwZ0xWVzJiZkRqZUFrT2hxemc5WERUZWlHbWJQNStIS0N6Yz0 2016-04-26 10:31:30 DEBUG SClient4WPS:731 - Configuring Literal: FeaturesColumnNames to: depthmean|sstmnmax|salinitymean 2016-04-26 10:31:30 DEBUG SClient4WPS:731 - Configuring Literal: OccurrencePointsClusterLabel to: Test 2016-04-26 10:31:30 DEBUG SClient4WPS:731 - Configuring Literal: epsilon to: 10 2016-04-26 10:31:30 DEBUG SClient4WPS:731 - Configuring Literal: min_points to: 1 2016-04-26 10:31:30 INFO StatWPSClientSession:84 - CONNECT 2016-04-26 10:31:30 DEBUG SClient4WPS:380 - Sending: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN OccurrencePointsTable FeaturesColumnNames depthmean|sstmnmax|salinitymean OccurrencePointsClusterLabel Test epsilon 10 min_points 1 OutputTable non_deterministic_output 2016-04-26 10:31:30 DEBUG StatWPSClientSession:420 - RetrieveDataViaPost(): http://dataminer1-d-d4s.d4science.org:80/wps/WebProcessingService? 2016-04-26 10:31:30 DEBUG SClient4WPS:399 - Retrieved ProcessLocation: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1 2016-04-26 10:31:30 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 10:31:30 DEBUG SClient4WPS:768 - Starting Process: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1 2016-04-26 10:31:30 DEBUG SClient4WPS:695 - Stated Computation ProcessLocation:http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1 2016-04-26 10:31:30 DEBUG SClient4WPS:706 - ComputationId: ComputationId [id=dc6dff45-f655-4c56-88a0-820efccc3dd1, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1] 2016-04-26 10:31:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:31:31 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 10:31:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 10:31:40 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 10:31:40 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 10:31:40 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=dc6dff45-f655-4c56-88a0-820efccc3dd1, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1] 2016-04-26 10:31:40 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 10:31:40 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 10:31:40 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1 2016-04-26 10:31:40 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 10:31:40 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 10:31:40 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 10:31:40 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN Process successful OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] depthmean,sstmnmax,salinitymean,clusterid,outlier 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f non_deterministic_output NonDeterministicOutput http://data-d.d4science.org/QTZTbmFzRzFDaWhxUmhYZ0pWd0RHa0RyZW5mQjM4RmxHbWJQNStIS0N6Yz0 Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv 2016-04-26 10:31:40 DEBUG SClient4WPS:858 - WPS SUCCESS 2016-04-26 10:31:40 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=100.0, status=COMPLETE, endDate=null, message=null, errResource=null] 2016-04-26 10:31:41 DEBUG Log:91 - getResourceByComputationId: ComputationId [id=dc6dff45-f655-4c56-88a0-820efccc3dd1, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1] 2016-04-26 10:31:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 10:31:41 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 10:31:41 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 10:31:41 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:OutputTable 2016-04-26 10:31:41 DEBUG WPS2SM:315 - Conversion to SM Type->Title:Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] 2016-04-26 10:31:41 DEBUG WPS2SM:331 - Complex Output 2016-04-26 10:31:41 DEBUG WPS2SM:200 - MimeType: text/csv 2016-04-26 10:31:41 DEBUG WPS2SM:201 - Schema: null 2016-04-26 10:31:41 DEBUG WPS2SM:202 - Encoding: null 2016-04-26 10:31:41 DEBUG SClient4WPS:932 - OutputParameter: TabularParameter [tableName= , templates=[], name=OutputTable, description=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], typology=TABULAR] 2016-04-26 10:31:41 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:non_deterministic_output 2016-04-26 10:31:41 DEBUG WPS2SM:315 - Conversion to SM Type->Title:NonDeterministicOutput 2016-04-26 10:31:41 DEBUG WPS2SM:331 - Complex Output 2016-04-26 10:31:41 DEBUG WPS2SM:200 - MimeType: text/xml; subtype=gml/2.1.2 2016-04-26 10:31:41 DEBUG WPS2SM:201 - Schema: http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-26 10:31:41 DEBUG WPS2SM:202 - Encoding: null 2016-04-26 10:31:41 DEBUG SClient4WPS:932 - OutputParameter: FileParameter [mimeType=text/xml; subtype=gml/2.1.2, value=null, name=non_deterministic_output, description=NonDeterministicOutput, typology=FILE] 2016-04-26 10:31:41 DEBUG SClient4WPS:419 - RetrieveProcessResult: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1 2016-04-26 10:31:41 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=dc6dff45-f655-4c56-88a0-820efccc3dd1 2016-04-26 10:31:41 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 10:31:41 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 10:31:41 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 10:31:41 DEBUG SClient4WPS:430 - Response: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN DBSCAN Process successful OutputTable Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] depthmean,sstmnmax,salinitymean,clusterid,outlier 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f 0,110117104,110117104,1,f non_deterministic_output NonDeterministicOutput http://data-d.d4science.org/QTZTbmFzRzFDaWhxUmhYZ0pWd0RHa0RyZW5mQjM4RmxHbWJQNStIS0N6Yz0 Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] text/csv 2016-04-26 10:31:41 DEBUG SClient4WPS:946 - Process Executed 2016-04-26 10:31:41 DEBUG SClient4WPS:570 - Node Name: wps:ComplexData 2016-04-26 10:31:41 DEBUG SClient4WPS:570 - Node Name: #text 2016-04-26 10:31:41 DEBUG SClient4WPS:570 - Node Name: wps:ComplexData 2016-04-26 10:31:41 DEBUG SClient4WPS:570 - Node Name: ogr:FeatureCollection 2016-04-26 10:31:41 DEBUG SClient4WPS:570 - Node Name: gml:featureMember 2016-04-26 10:31:41 DEBUG SClient4WPS:570 - Node Name: ogr:Result 2016-04-26 10:31:41 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/QTZTbmFzRzFDaWhxUmhYZ0pWd0RHa0RyZW5mQjM4RmxHbWJQNStIS0N6Yz0 2016-04-26 10:31:41 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb] 2016-04-26 10:31:41 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:text/csv 2016-04-26 10:31:41 DEBUG SClient4WPS:499 - ResponseWPS Map: F0-->ResponseWPS [data=http://data-d.d4science.org/QTZTbmFzRzFDaWhxUmhYZ0pWd0RHa0RyZW5mQjM4RmxHbWJQNStIS0N6Yz0, description=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], mimeType=text/csv] 2016-04-26 10:31:41 DEBUG SClient4WPS:994 - Adding OBJ:F0 2016-04-26 10:31:41 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/QTZTbmFzRzFDaWhxUmhYZ0pWd0RHa0RyZW5mQjM4RmxHbWJQNStIS0N6Yz0, name=F0, description=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], typology=OBJECT] 2016-04-26 10:31:41 DEBUG Log:91 - Resoure: MapResource [map={F0=FileResource [url=http://data-d.d4science.org/QTZTbmFzRzFDaWhxUmhYZ0pWd0RHa0RyZW5mQjM4RmxHbWJQNStIS0N6Yz0, mimeType=text/csv, getResourceId()=F0, getName()=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], getDescription()=Output cluster table [a http link to a table in UTF-8 ecoding following this template: (CLUSTER) http://goo.gl/PnKhhb], getResourceType()=FILE]}, getResourceId()=mapResource, getName()=Resources, getDescription()=Resources, getResourceType()=MAP] 2016-04-26 10:32:26 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 10:32:26 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 10:33:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:33:21 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 10:34:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 10:34:16 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 10:35:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 10:35:11 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 10:36:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-26 10:36:06 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-26 10:37:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:37:01 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 10:37:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:37:56 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 10:38:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 10:38:51 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 10:39:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 10:39:46 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 10:40:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 10:40:41 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 10:41:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:41:36 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 10:42:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:42:31 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 10:43:26 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 10:43:26 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 10:44:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 10:44:21 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 10:45:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 35 2016-04-26 10:45:16 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-26 10:46:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 10:46:11 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 10:47:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 10:47:06 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 10:48:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 10:48:01 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 10:48:56 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 10:48:56 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 10:49:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 10:49:51 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 10:50:46 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 10:50:46 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 10:51:41 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:51:41 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 10:52:36 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 10:52:36 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 10:53:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 10:53:31 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 10:54:26 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 10:54:26 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 10:55:21 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 10:55:21 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 10:56:16 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 10:56:16 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 10:57:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 10:57:11 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 10:58:06 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 10:58:06 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 10:59:01 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-26 10:59:01 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 10:59:01 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-26 10:59:01 WARN SessionCheckerServiceImpl:80 - Scope is null at Tue Apr 26 10:59:01 CEST 2016 2016-04-26 10:59:01 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-26 10:59:31 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-26 10:59:31 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-26 10:59:31 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-26 10:59:31 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-26 10:59:31 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 10:59:31 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-26 10:59:31 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi null 2016-04-26 10:59:31 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-26 10:59:31 DEBUG ASLSession:311 - Scope is null, returning null 2016-04-26 10:59:31 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=null, scopeName=null, userEmailAddress=null, userFullName=null] 2016-04-26 10:59:32 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-26 10:59:32 DEBUG ASLSession:458 - Getting security token: null in thread 35 2016-04-26 10:59:32 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-26 10:59:32 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi null 2016-04-26 10:59:32 INFO StatWPSClientSession:84 - CONNECT 2016-04-26 10:59:33 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 10:59:33 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-26 10:59:34 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-26 10:59:34 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 10:59:34 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-26 10:59:34 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi null 2016-04-26 10:59:34 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea() 2016-04-26 10:59:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:59:34 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:59:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:59:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:59:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:59:34 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:59:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:59:34 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-26 10:59:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:59:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:59:34 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:59:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:59:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:59:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:59:34 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:59:34 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-26 10:59:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:59:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:59:34 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:59:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:59:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:59:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:59:34 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:59:34 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-26 10:59:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 10:59:34 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 10:59:34 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 10:59:34 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 10:59:34 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 10:59:34 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 10:59:34 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 10:59:34 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-26 10:59:34 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 10:59:34 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 11:00:45 DEBUG AccessLogger:124 - Creating a message handling object in order to handle the message queue 2016-04-26 11:00:45 DEBUG AccessLogger:44 - Constructing a new access logger. Create a new file if it does not exist for the current date 2016-04-26 11:00:45 INFO DataMinerManagerServiceImpl:71 - DataMinerManager started! 2016-04-26 11:00:45 INFO SessionUtil:49 - no user found in session, use test user 2016-04-26 11:00:45 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-26 11:00:45 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 11:00:45 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-26 11:00:45 INFO ScopeProviderScanner:50 - using scope provider org.gcube.common.scope.impl.DefaultScopeProvider@1837ab4b 2016-04-26 11:00:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:00:45 INFO ASLSession:352 - Logging the entrance 2016-04-26 11:00:45 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-26 11:00:45 DEBUG TemplateModel:83 - 2016-04-26 11:00:45, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-26 11:00:45 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:00:45 DEBUG DataMinerManagerServiceImpl:90 - UserInfo: UserInfo [username=giancarlo.panichi, groupId=0, groupName=null, scope=/gcube/devsec/devVRE, scopeName=/gcube/devsec/devVRE, userEmailAddress=null, userFullName=null] 2016-04-26 11:00:47 INFO SessionUtil:49 - no user found in session, use test user 2016-04-26 11:00:47 DEBUG ASLSession:302 - Scope is null, returning null 2016-04-26 11:00:47 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 11:00:47 INFO ASLSession:319 - The scope about to set is: /gcube/devsec/devVRE 2016-04-26 11:00:47 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 11:00:47 INFO ASLSession:352 - Logging the entrance 2016-04-26 11:00:47 DEBUG TemplateModel:82 - A new entry line has been created. The entry is: 2016-04-26 11:00:47 DEBUG TemplateModel:83 - 2016-04-26 11:00:47, VRE -> /gcube/devsec/devVRE, USER -> giancarlo.panichi, ENTRY_TYPE -> Login_To_VRE, MESSAGE -> First login to the vre 2016-04-26 11:00:47 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:00:48 INFO DiscoveryDelegate:108 - executing query for authorization-service/gcube/service endpoints: org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-26 11:00:48 INFO DefaultScanner:63 - matched 28 resources from 112 urls in 141 ms 2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/d4science.servicemap 2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/preprod.servicemap 2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/vo1.servicemap 2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/openbio.servicemap 2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/cnr.servicemap 2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/testing.servicemap 2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcube.servicemap 2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/gcubeapps.servicemap 2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/isti.servicemap 2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/farm.servicemap 2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/ecosystem.servicemap 2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/securevo.servicemap 2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devsec.servicemap 2016-04-26 11:00:48 INFO ServiceMapScanner:52 - loading jar:file:/home/giancarlo/workspace2/data-miner-manager/target/data-miner-manager-1.0.0-SNAPSHOT/WEB-INF/lib/common-scope-maps-1.0.3-SNAPSHOT.jar!/devnext.servicemap 2016-04-26 11:00:48 INFO StubFactory:144 - fetching wsdl for XQueryAccessService at http://dlib01.isti.cnr.it:8080/wsrf/services/gcube/informationsystem/collector/XQueryAccess?wsdl 2016-04-26 11:00:48 INFO StubCache:63 - caching stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-26 11:00:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() 2016-04-26 11:00:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ScopeHandler@2c6047fa 2016-04-26 11:00:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.TargetServiceHandler@5868f0b5 2016-04-26 11:00:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.ClientInfoHandler@64ea13a6 2016-04-26 11:00:48 INFO HandlerRegistry:30 - loaded call handler org.gcube.common.clients.stubs.jaxws.handlers.LegacyWSAddressingHandler@476402be 2016-04-26 11:00:48 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text() in 101 ms 2016-04-26 11:00:48 INFO DiscoveryDelegate:133 - calling authorization-service/gcube/service @
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
2016-04-26 11:00:48 DEBUG DefaultEndpointCache:51 - caching
http://node27.d.d4science.research-infrastructures.eu:8080/authorization-service/gcube/service
for Key [name=authorization-service/gcube/service, query=org.gcube.resources.discovery.client.queries.impl.XQuery@8a6a1908=declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RunningInstance')//Document/Data/ic:Profile/Resource, $entry in $resource/Profile/AccessPoint/RunningInstanceInterfaces/Endpoint where ($resource/Profile/ServiceClass/text() eq 'Common') and ($resource/Profile/ServiceName/text() eq 'AuthorizationService') and ($resource/Profile/DeploymentData/Status/text() eq 'ready') and (contains($entry/string(),'authorization-service/gcube/service')) return $entry/text(), scope=/gcube/devsec/devVRE] 2016-04-26 11:00:48 INFO SessionUtil:93 - received token: f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:00:48 DEBUG SClient4WPSBuilder:28 - Build SM4WPS 2016-04-26 11:00:48 DEBUG SClient4WPSBuilder:29 - ServiceCredential: ServiceCredential [username=giancarlo.panichi, scope=/gcube/devsec/devVRE, token=f0666597-4302-49ce-bea2-555b94e569cb] 2016-04-26 11:00:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 11:00:48 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-26 11:00:48 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() 2016-04-26 11:00:48 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataAnalysis') and ($resource/Profile/Name/text() eq 'DataMiner') return $resource/Profile/AccessPoint/Interface/Endpoint/text() in 18 ms 2016-04-26 11:00:48 DEBUG SClient4WPS:113 - Service Address retrieved:[http://dataminer-d-d4s.d4science.org/wps/WebProcessingService] 2016-04-26 11:00:48 INFO SClient4WPS:118 - DataMiner service address found: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 11:00:48 DEBUG SClient4WPS:129 - Cancel computation servlet: http://dataminer-d-d4s.d4science.org/wps/CancelComputationServlet 2016-04-26 11:00:48 INFO StatWPSClientSession:84 - CONNECT 2016-04-26 11:00:48 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-26 11:00:48 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-26 11:00:48 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-26 11:00:48 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:00:48 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 11:00:48 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:00:48 DEBUG DataMinerManagerServiceImpl:405 - getDataMinerWorkArea() 2016-04-26 11:00:48 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:00:48 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:00:49 INFO HomeLibraryConfiguration:76 - calculating the persistence folder 2016-04-26 11:00:49 INFO HomeLibraryConfiguration:103 - Using tmp dir /tmp 2016-04-26 11:00:49 INFO HomeManageFactory:103 - getInstance persistenceRoot: /tmp/home_library_persistence 2016-04-26 11:00:49 DEBUG JCRHomeManagerFactory:44 - Initialize content manager 2016-04-26 11:00:49 DEBUG JCRRepository:271 - Initialize repository 2016-04-26 11:00:49 DEBUG JCRRepository:97 - scope for repository creation is /gcube caller scope is /gcube/devsec/devVRE 2016-04-26 11:00:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 34 2016-04-26 11:00:49 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-26 11:00:49 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource 2016-04-26 11:00:49 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Database' and $resource/Profile/Name eq 'HomeLibraryRepository' ) return $resource in 44 ms 2016-04-26 11:00:49 DEBUG JCRRepository:152 - user is workspacerep.imarine password is null?false and repository is null?false 2016-04-26 11:00:49 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:00:49 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:00:49 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:00:49 INFO JCRHomeManager:71 - User giancarlo.panichi not found, creating a new one. 2016-04-26 11:00:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:00:49 INFO JCRRepository:279 - getHome giancarlo.panichi 2016-04-26 11:00:49 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-26 11:00:49 INFO JCRRepository:307 - giancarlo.panichi - USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-26 11:00:49 INFO JCRRepository:377 - skip init in JCRRepository 2016-04-26 11:00:49 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 11:00:49 DEBUG JCRUserManager:520 - Response 3.1.1 2016-04-26 11:00:49 DEBUG SClient4WPS:250 - OperatorClass: [OperatorsClassification [name=User Perspective, operatorCategories=[OperatorCategory [id=ANOMALIES_DETECTION, name=Anomalies Detection, briefDescription=ANOMALIES_DETECTION, description=ANOMALIES_DETECTION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=BAYESIAN_METHODS, name=Bayesian Methods, briefDescription=BAYESIAN_METHODS, description=BAYESIAN_METHODS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CHARTS, name=Charts, briefDescription=CHARTS, description=CHARTS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=CORRELATION_ANALYSIS, name=Correlation Analysis, briefDescription=CORRELATION_ANALYSIS, description=CORRELATION_ANALYSIS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=DATABASES, name=Databases, briefDescription=DATABASES, description=DATABASES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=FILTERING, name=Filtering, briefDescription=FILTERING, description=FILTERING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=GEO_PROCESSING, name=Geo Processing, briefDescription=GEO_PROCESSING, description=GEO_PROCESSING, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=MAPS, name=Maps, briefDescription=MAPS, description=MAPS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=OCCURRENCES, name=Occurrences, briefDescription=OCCURRENCES, description=OCCURRENCES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=PERFORMANCES_EVALUATION, name=Performances Evaluation, briefDescription=PERFORMANCES_EVALUATION, description=PERFORMANCES_EVALUATION, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=STOCK_ASSESSMENT, name=Stock Assessment, briefDescription=STOCK_ASSESSMENT, description=STOCK_ASSESSMENT, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TAXA, name=Taxa, briefDescription=TAXA, description=TAXA, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=TIME_SERIES, name=Time Series, briefDescription=TIME_SERIES, description=TIME_SERIES, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false]], hasImage=false], OperatorCategory [id=VESSELS, name=Vessels, briefDescription=VESSELS, description=VESSELS, operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false]], hasImage=false]], operators=[Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ABSENCE_CELLS_FROM_AQUAMAPS, name=Absence Cells From Aquamaps, briefDescription=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, description=An algorithm producing cells and features (HCAF) for a species containing absense points taken by an Aquamaps Distribution, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.BIONYM, name=Bionym, briefDescription=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.BIONYM_LOCAL, name=Bionym Local, briefDescription=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., description=A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.CMSY, name=Cmsy, briefDescription=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., description=An algorithm to estimate the Maximum Sustainable Yield from a catch statistic. If also a Biomass trend is provided, MSY estimation is provided also with higher precision. The method has been developed by R. Froese, G. Coro, N. Demirel and K. Kleisner., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.CSQUARE_COLUMN_CREATOR, name=Csquare Column Creator, briefDescription=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the CSquare codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.DBSCAN, name=Dbscan, briefDescription=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.DISCREPANCY_ANALYSIS, name=Discrepancy Analysis, briefDescription=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., description=An evaluator algorithm that compares two tables containing real valued vectors. It drives the comparison by relying on a geographical distance threshold and a threshold for K-Statistic., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ESRI_GRID_EXTRACTION, name=Esri Grid Extraction, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one ESRI GRID ASCII file containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR, name=Fao Ocean Area Column Creator, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude and latitude columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT, name=Fao Ocean Area Column Creator From Quadrant, briefDescription=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., description=An algorithm that adds a column containing the FAO Ocean Area codes associated to longitude, latitude and quadrant columns., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GENERIC_CHARTS, name=Generic Charts, briefDescription=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., description=An algorithm producing generic charts of attributes vs. quantities. Charts are displayed per quantity column. Histograms, Scattering and Radar charts are produced for the top ten quantities. A gaussian distribution reports overall statistics for the quantities., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.GEO_CHART, name=Geo Chart, briefDescription=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., description=An algorithm producing a charts that displays quantities as colors of countries. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.HCAF_FILTER, name=Hcaf Filter, briefDescription=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), description=An algorithm producing a HCAF table on a selected Bounding Box (default identifies Indonesia), operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.HRS, name=Hrs, briefDescription=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., description=An evaluator algorithm that calculates the Habitat Representativeness Score, i.e. an indicator of the assessment of whether a specific survey coverage or another environmental features dataset, contains data that are representative of all available habitat variable combinations in an area., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.generators.ICCAT_VPA, name=Iccat Vpa, briefDescription=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., description=An algorithm for stock assessment of catch statistics published by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Produces summary statistics about a stock, involving assessment of fishing mortality, abundance, catch trend, fecundity and recruitment. Developed by IFREMER and IRD. Contact persons: Sylvain Bonhommeau sylvain.bonhommeau@ifremer.fr, Julien Barde julien.barde@ird.fr., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.KMEANS, name=Kmeans, briefDescription=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., description=A clustering algorithm for real valued vectors that relies on the k-means algorithm, i.e. a method aiming to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.LOF, name=Lof, briefDescription=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., description=Local Outlier Factor (LOF). A clustering algorithm for real valued vectors that relies on Local Outlier Factor algorithm, i.e. an algorithm for finding anomalous data points by measuring the local deviation of a given data point with respect to its neighbours. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.MAPS_COMPARISON, name=Maps Comparison, briefDescription=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., description=An algorithm for comparing two OGC/NetCDF maps in seamless way to the user. The algorithm assesses the similarities between two geospatial maps by comparing them in a point-to-point fashion. It accepts as input the two geospatial maps (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) and some parameters affecting the comparison such as the z-index, the time index, the comparison threshold. Note: in the case of WFS layers it makes comparisons on the last feature column., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.OCCURRENCE_ENRICHMENT, name=Occurrence Enrichment, briefDescription=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., description=An algorithm performing occurrences enrichment. Takes as input one table containing occurrence points for a set of species and a list of environmental layer, taken either from the e-infrastructure GeoNetwork (through the GeoExplorer application) or from direct HTTP links. Produces one table reporting the set of environmental values associated to the occurrence points., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.PRESENCE_CELLS_GENERATION, name=Presence Cells Generation, briefDescription=An algorithm producing cells and features (HCAF) for a species containing presence points, description=An algorithm producing cells and features (HCAF) for a species containing presence points, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.evaluators.QUALITY_ANALYSIS, name=Quality Analysis, briefDescription=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, description=An evaluator algorithm that assesses the effectiveness of a distribution model by computing the Receiver Operating Characteristics (ROC), the Area Under Curve (AUC) and the Accuracy of a model, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.RASTER_DATA_PUBLISHER, name=Raster Data Publisher, briefDescription=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., description=This algorithm publishes a raster file as a maps or datasets in the e-Infrastructure. NetCDF-CF files are encouraged, as WMS and WCS maps will be produced using this format. For other types of files (GeoTiffs, ASC etc.) only the raw datasets will be published. The resulting map or dataset will be accessible via the VRE GeoExplorer by the VRE participants., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SGVM_INTERPOLATION, name=Sgvm Interpolation, briefDescription=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, description=An interpolation method relying on the implementation by the Study Group on VMS (SGVMS). The method uses two interpolation approached to simulate vessels points at a certain temporal resolution. The input is a file in TACSAT format uploaded on the Statistical Manager. The output is another TACSAT file containing interpolated points.The underlying R code has been extracted from the SGVM VMSTools framework. This algorithm comes after a feasibility study (http://goo.gl/risQre) which clarifies the features an e-Infrastructure adds to the original scripts. Limitation: the input will be processed up to 10000 vessels trajectory points. Credits: Hintzen, N. T., Bastardie, F., Beare, D., Piet, G. J., Ulrich, C., Deporte, N., Egekvist, J., et al. 2012. VMStools: Open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data. Fisheries Research, 115-116: 31-43. Hintzen, N. T., Piet, G. J., and Brunel, T. 2010. Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data. Fisheries Research, 101: 108-115. VMStools, available as an add-on package for R. Documentation available at https://code.google.com/p/vmstools/. Build versions of VMStools for Window, Mac, Linux available at https://docs.google.com/. Authors: Niels T. Hintzen, Doug Beare, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.SUBMITQUERY, name=Submitquery, briefDescription=Algorithm that allows to submit a query, description=Algorithm that allows to submit a query, operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_GEO_CHART, name=Time Geo Chart, briefDescription=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., description=An algorithm producing an animated gif displaying quantities as colors in time. The color indicates the sum of the values recorded in a country., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_ANALYSIS, name=Time Series Analysis, briefDescription=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., description=An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIME_SERIES_CHARTS, name=Time Series Charts, briefDescription=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., description=An algorithm producing time series charts of attributes vs. quantities. Charts are displayed per quantity column and superposing quantities are summed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION, name=Timeextraction, briefDescription=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.TIMEEXTRACTION_TABLE, name=Timeextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.clusterers.XMEANS, name=Xmeans, briefDescription=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., description=A clustering algorithm for occurrence points that relies on the X-Means algorithm, i.e. an extended version of the K-Means algorithm improved by an Improve-Structure part. A Maximum of 4000 points is allowed., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR, name=Xyextractor, briefDescription=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to an environmental feature repository (e.g. NETCDF, ASC, GeoTiff files etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial repository ID (via their UUIDs in the infrastructure spatial data repository - recoverable through the Geoexplorer portlet) or a direct link to a file and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.XYEXTRACTOR_TABLE, name=Xyextractor Table, briefDescription=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., description=An algorithm to extract values associated to a table containing geospatial features (e.g. Vessel Routes, Species distribution maps etc. ). A grid of points at a certain resolution is specified by the user and values are associated to the points from the environmental repository. It accepts as one geospatial table and the specification about time and space. The algorithm produces one table containing the values associated to the selected bounding box., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION, name=Zextraction, briefDescription=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., description=An algorithm to extract the Z values from a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the repository and automatically extracts the Z values according to the resolution wanted by the user. It produces one chart of the Z values and one table containing the values., operatorParameters=[], hasImage=false], Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.ZEXTRACTION_TABLE, name=Zextraction Table, briefDescription=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., description=An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram., operatorParameters=[], hasImage=false]]]] 2016-04-26 11:00:49 INFO JCRWorkspace:2962 - giancarlo.panichi --> USER VERSION: 3.1.1 - HL VERSION: 3.1.1 2016-04-26 11:00:49 INFO JCRWorkspace:3019 - skip init in JCRWorkspace for user: giancarlo.panichi 2016-04-26 11:00:49 INFO JCRHomeManager:82 - User created: giancarlo.panichi 2016-04-26 11:00:49 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:00:49 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:00:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 11:00:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 11:00:49 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-26 11:00:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner by giancarlo.panichi 2016-04-26 11:00:49 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 11:00:49 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 11:00:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:00:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:00:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:00:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:00:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:00:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:00:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-26 11:00:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Input Data Sets by giancarlo.panichi 2016-04-26 11:00:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 11:00:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 11:00:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:00:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:00:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:00:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:00:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:00:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:00:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-26 11:00:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Output Data Sets by giancarlo.panichi 2016-04-26 11:00:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 11:00:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 11:00:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:00:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:00:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:00:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:00:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:00:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:00:50 INFO JCRServlets:267 - Servlet getItemById 9bb0fe87-356b-4b9d-a213-04293559dc20 2016-04-26 11:00:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/DataMiner/Computations by giancarlo.panichi 2016-04-26 11:00:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 11:00:50 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 11:00:50 DEBUG ASLSession:125 - Could not parse file null/webapps/ROOT/WEB-INF/web.xml for session-timeout property. Parsing from jar. 2016-04-26 11:00:50 DEBUG ASLSession:141 - Could not parse file properties.xml for property. Setting it to default. 2016-04-26 11:00:50 INFO ASLSession:147 - Session Timeout is: 1800000 2016-04-26 11:00:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:00:50 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 11:00:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:00:50 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:00:50 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:00:50 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:00:50 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:00:50 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:00:50 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:00:50 INFO JCRServlets:267 - Servlet getItemById 8de72040-33cc-4c18-b112-212bdfc2353e 2016-04-26 11:00:50 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 11:00:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:00:51 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:00:51 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:00:51 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:00:51 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:00:51 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:00:51 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:00:51 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:00:51 INFO JCRServlets:267 - Servlet getItemById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 2016-04-26 11:00:51 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 11:00:51 INFO JCRServlets:142 - Calling servlet getChildrenById 8de72040-33cc-4c18-b112-212bdfc2353e by giancarlo.panichi 2016-04-26 11:00:51 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 11:00:51 INFO WorkspaceExplorerServiceImpl:188 - end time - 155 msc 0 sec 2016-04-26 11:00:51 INFO JCRServlets:142 - Calling servlet getChildrenById 9258832c-2cd0-45cb-9625-0ae9f6fa3662 by giancarlo.panichi 2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:00:51 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-26 11:00:51 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-26 11:00:51 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 28 ms 2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-26 11:00:51 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-26 11:00:51 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource 2016-04-26 11:00:51 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'Service' and $resource/Profile/Name eq 'HTTP-URI-Resolver' ) return $resource in 18 ms 2016-04-26 11:00:51 DEBUG StorageClient:316 - server not set. Try to query IS in scope: /gcube 2016-04-26 11:00:51 INFO ISClientConnector:82 - found only one RR, take it 2016-04-26 11:00:51 INFO ISClientConnector:140 - Type of backend found MongoDB 2016-04-26 11:00:51 INFO ISClientConnector:57 - ISCACHE: ELEMENT INSERTED 2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-26 11:00:51 DEBUG StorageClient:517 - set scope: /gcube 2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-26 11:00:51 INFO StubCache:70 - using cached stub for interface org.gcube.resources.discovery.icclient.stubs.CollectorStub 2016-04-26 11:00:51 INFO ICClient:75 - executing query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource 2016-04-26 11:00:51 INFO ICClient:83 - executed query declare namespace ic = 'http://gcube-system.org/namespaces/informationsystem/registry'; for $resource in collection('/db/Profiles/RuntimeResource')//Document/Data/ic:Profile/Resource where ($resource/Profile/Category/text() eq 'DataStorage' and $resource/Profile/Name eq 'StorageManager' ) return $resource in 18 ms 2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube in thread 31 2016-04-26 11:00:51 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:00:51 INFO WorkspaceExplorerServiceImpl:188 - end time - 276 msc 0 sec 2016-04-26 11:01:08 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 11:01:08 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 11:01:08 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:01:08 INFO SClient4WPS:631 - Parameters of algorithm org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING 2016-04-26 11:01:08 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 11:01:08 INFO StatWPSClientSession:84 - CONNECT 2016-04-26 11:01:08 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt OutputTableLabel The name of the table to produce Name of the parameter: OutputTableLabel. The name of the table to produce maxent_ SpeciesName The name of the species to model and the occurrence records refer to Name of the parameter: SpeciesName. The name of the species to model and the occurrence records refer to generic_species MaxIterations The number of learning iterations of the MaxEnt algorithm Name of the parameter: MaxIterations. The number of learning iterations of the MaxEnt algorithm 1000 DefaultPrevalence A priori probability of presence at ordinary occurrence points Name of the parameter: DefaultPrevalence. A priori probability of presence at ordinary occurrence points 0.5 OccurrencesTable A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] Name of the parameter: OccurrencesTable. A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] text/xml text/xml text/csv text/plain LongitudeColumn The column containing longitude values [the name of a column from OccurrencesTable] Name of the parameter: LongitudeColumn. The column containing longitude values [the name of a column from OccurrencesTable] decimallongitude LatitudeColumn The column containing latitude values [the name of a column from OccurrencesTable] Name of the parameter: LatitudeColumn. The column containing latitude values [the name of a column from OccurrencesTable] decimallatitude XResolution Model projection resolution on the X axis in decimal degrees Name of the parameter: XResolution. Model projection resolution on the X axis in decimal degrees 1 YResolution Model projection resolution on the Y axis in decimal degrees Name of the parameter: YResolution. Model projection resolution on the Y axis in decimal degrees 1 Layers The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) Name of the parameter: Layers. The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) Z Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer Name of the parameter: Z. Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer 0 TimeIndex Time Index. The default is the first time indexed in the input environmental datasets Name of the parameter: TimeIndex. Time Index. The default is the first time indexed in the input environmental datasets 0 Best Threshold Best threshold for transforming MaxEnt values into 0/1 probability assignments Name of the parameter: Best Threshold. Best threshold for transforming MaxEnt values into 0/1 probability assignments Estimated Prevalence The a posteriori estimated prevalence of the species Name of the parameter: Estimated Prevalence. The a posteriori estimated prevalence of the species Variables contributions The contribution of each variable to the MaxEnt values estimates Name of the parameter: Variables contributions. The contribution of each variable to the MaxEnt values estimates Variables Permutations Importance The importance of the permutations of the variables during the training Name of the parameter: Variables Permutations Importance. The importance of the permutations of the variables during the training ASCII Maps of the environmental layers for checking features aligments ASCII Maps of the environmental layers for checking features aligments Name of the parameter: ASCII Maps of the environmental layers for checking features aligments. ASCII Maps of the environmental layers for checking features aligments application/d4science application/d4science OutputTable7 Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OutputTable7. Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-26 11:01:08 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input: OutputTableLabel The name of the table to produce Name of the parameter: OutputTableLabel. The name of the table to produce maxent_ 2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input: SpeciesName The name of the species to model and the occurrence records refer to Name of the parameter: SpeciesName. The name of the species to model and the occurrence records refer to generic_species 2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input: MaxIterations The number of learning iterations of the MaxEnt algorithm Name of the parameter: MaxIterations. The number of learning iterations of the MaxEnt algorithm 1000 2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input: DefaultPrevalence A priori probability of presence at ordinary occurrence points Name of the parameter: DefaultPrevalence. A priori probability of presence at ordinary occurrence points 0.5 2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencesTable A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] Name of the parameter: OccurrencesTable. A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] text/xml text/xml text/csv text/plain 2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input: LongitudeColumn The column containing longitude values [the name of a column from OccurrencesTable] Name of the parameter: LongitudeColumn. The column containing longitude values [the name of a column from OccurrencesTable] decimallongitude 2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input: LatitudeColumn The column containing latitude values [the name of a column from OccurrencesTable] Name of the parameter: LatitudeColumn. The column containing latitude values [the name of a column from OccurrencesTable] decimallatitude 2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input: XResolution Model projection resolution on the X axis in decimal degrees Name of the parameter: XResolution. Model projection resolution on the X axis in decimal degrees 1 2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input: YResolution Model projection resolution on the Y axis in decimal degrees Name of the parameter: YResolution. Model projection resolution on the Y axis in decimal degrees 1 2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input: Layers The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) Name of the parameter: Layers. The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) 2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input: Z Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer Name of the parameter: Z. Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer 0 2016-04-26 11:01:08 DEBUG SClient4WPS:291 - WPSClient->Input: TimeIndex Time Index. The default is the first time indexed in the input environmental datasets Name of the parameter: TimeIndex. Time Index. The default is the first time indexed in the input environmental datasets 0 2016-04-26 11:01:08 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-26 11:01:08 DEBUG SClient4WPS:298 - WPSClient->Output: Best Threshold Best threshold for transforming MaxEnt values into 0/1 probability assignments Name of the parameter: Best Threshold. Best threshold for transforming MaxEnt values into 0/1 probability assignments 2016-04-26 11:01:08 DEBUG SClient4WPS:298 - WPSClient->Output: Estimated Prevalence The a posteriori estimated prevalence of the species Name of the parameter: Estimated Prevalence. The a posteriori estimated prevalence of the species 2016-04-26 11:01:08 DEBUG SClient4WPS:298 - WPSClient->Output: Variables contributions The contribution of each variable to the MaxEnt values estimates Name of the parameter: Variables contributions. The contribution of each variable to the MaxEnt values estimates 2016-04-26 11:01:08 DEBUG SClient4WPS:298 - WPSClient->Output: Variables Permutations Importance The importance of the permutations of the variables during the training Name of the parameter: Variables Permutations Importance. The importance of the permutations of the variables during the training 2016-04-26 11:01:08 DEBUG SClient4WPS:298 - WPSClient->Output: ASCII Maps of the environmental layers for checking features aligments ASCII Maps of the environmental layers for checking features aligments Name of the parameter: ASCII Maps of the environmental layers for checking features aligments. ASCII Maps of the environmental layers for checking features aligments application/d4science application/d4science 2016-04-26 11:01:08 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable7 Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OutputTable7. Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/csv text/csv 2016-04-26 11:01:08 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-26 11:01:08 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->OutputTableLabel is a Literal Input 2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: maxent_ 2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The name of the table to produce 2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OutputTableLabel 2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=maxent_, value=null, name=OutputTableLabel, description=The name of the table to produce [Min N. of Entries:1; Max N. of Entries:1; default:maxent_], typology=OBJECT] 2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->SpeciesName is a Literal Input 2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: generic_species 2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The name of the species to model and the occurrence records refer to 2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:SpeciesName 2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=generic_species, value=null, name=SpeciesName, description=The name of the species to model and the occurrence records refer to [Min N. of Entries:1; Max N. of Entries:1; default:generic_species], typology=OBJECT] 2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->MaxIterations is a Literal Input 2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: 1000 2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The number of learning iterations of the MaxEnt algorithm 2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:MaxIterations 2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1000, value=null, name=MaxIterations, description=The number of learning iterations of the MaxEnt algorithm [Min N. of Entries:1; Max N. of Entries:1; default:1000], typology=OBJECT] 2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->DefaultPrevalence is a Literal Input 2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: 0.5 2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A priori probability of presence at ordinary occurrence points 2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:DefaultPrevalence 2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=null, name=DefaultPrevalence, description=A priori probability of presence at ordinary occurrence points [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT] 2016-04-26 11:01:08 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencesTable is a Complex Input 2016-04-26 11:01:08 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-26 11:01:08 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-26 11:01:08 DEBUG WPS2SM:201 - Schema: null 2016-04-26 11:01:08 DEBUG WPS2SM:202 - Encoding: null 2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] 2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencesTable 2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencesTable, description=A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->LongitudeColumn is a Literal Input 2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: decimallongitude 2016-04-26 11:01:08 DEBUG WPS2SM:130 - Machter title: The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude] 2016-04-26 11:01:08 DEBUG WPS2SM:131 - Machter find: true 2016-04-26 11:01:08 DEBUG WPS2SM:132 - Machter group: the name of a column from OccurrencesTable 2016-04-26 11:01:08 DEBUG WPS2SM:133 - Machter start: 40 2016-04-26 11:01:08 DEBUG WPS2SM:134 - Machter end: 82 2016-04-26 11:01:08 DEBUG WPS2SM:135 - Machter Group Count: 1 2016-04-26 11:01:08 DEBUG WPS2SM:137 - Matcher referredTabularParameterName: OccurrencesTable 2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The column containing longitude values [the name of a column from OccurrencesTable] 2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:LongitudeColumn 2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=LongitudeColumn, description=The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude], typology=COLUMN] 2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->LatitudeColumn is a Literal Input 2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: decimallatitude 2016-04-26 11:01:08 DEBUG WPS2SM:130 - Machter title: The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude] 2016-04-26 11:01:08 DEBUG WPS2SM:131 - Machter find: true 2016-04-26 11:01:08 DEBUG WPS2SM:132 - Machter group: the name of a column from OccurrencesTable 2016-04-26 11:01:08 DEBUG WPS2SM:133 - Machter start: 39 2016-04-26 11:01:08 DEBUG WPS2SM:134 - Machter end: 81 2016-04-26 11:01:08 DEBUG WPS2SM:135 - Machter Group Count: 1 2016-04-26 11:01:08 DEBUG WPS2SM:137 - Matcher referredTabularParameterName: OccurrencesTable 2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The column containing latitude values [the name of a column from OccurrencesTable] 2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:LatitudeColumn 2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: Parameter [name=LatitudeColumn, description=The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude], typology=COLUMN] 2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->XResolution is a Literal Input 2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Model projection resolution on the X axis in decimal degrees 2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:XResolution 2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=XResolution, description=Model projection resolution on the X axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->YResolution is a Literal Input 2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Model projection resolution on the Y axis in decimal degrees 2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:YResolution 2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=YResolution, description=Model projection resolution on the Y axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->Layers is a Literal Input 2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: 2016-04-26 11:01:08 DEBUG WPS2SM:147 - Machter title: The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1] 2016-04-26 11:01:08 DEBUG WPS2SM:148 - Machter find: true 2016-04-26 11:01:08 DEBUG WPS2SM:149 - Machter group: a sequence of values separated by | 2016-04-26 11:01:08 DEBUG WPS2SM:150 - Machter start: 501 2016-04-26 11:01:08 DEBUG WPS2SM:151 - Machter end: 536 2016-04-26 11:01:08 DEBUG WPS2SM:152 - Machter Group Count: 1 2016-04-26 11:01:08 DEBUG WPS2SM:155 - Matcher separator: | 2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) 2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:Layers 2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ListParameter [type=java.lang.String, value=null, separator=|, name=Layers, description=The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1], typology=LIST] 2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->Z is a Literal Input 2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: 0 2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer 2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:Z 2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0, value=null, name=Z, description=Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT] 2016-04-26 11:01:08 DEBUG WPS2SM:254 - Conversion to SM Type->TimeIndex is a Literal Input 2016-04-26 11:01:08 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:01:08 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-26 11:01:08 DEBUG WPS2SM:101 - Guessed default value: 0 2016-04-26 11:01:08 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Time Index. The default is the first time indexed in the input environmental datasets 2016-04-26 11:01:08 DEBUG WPS2SM:291 - Conversion to SM Type->Name:TimeIndex 2016-04-26 11:01:08 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:01:08 DEBUG SClient4WPS:646 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=0, value=null, name=TimeIndex, description=Time Index. The default is the first time indexed in the input environmental datasets [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT] 2016-04-26 11:01:08 DEBUG SClient4WPS:650 - Parameters: [ObjectParameter [type=java.lang.String, defaultValue=maxent_, value=null, name=OutputTableLabel, description=The name of the table to produce [Min N. of Entries:1; Max N. of Entries:1; default:maxent_], typology=OBJECT], ObjectParameter [type=java.lang.String, defaultValue=generic_species, value=null, name=SpeciesName, description=The name of the species to model and the occurrence records refer to [Min N. of Entries:1; Max N. of Entries:1; default:generic_species], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1000, value=null, name=MaxIterations, description=The number of learning iterations of the MaxEnt algorithm [Min N. of Entries:1; Max N. of Entries:1; default:1000], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=null, name=DefaultPrevalence, description=A priori probability of presence at ordinary occurrence points [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT], TabularParameter [tableName= , templates=[], name=OccurrencesTable, description=A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=LongitudeColumn, description=The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude], typology=COLUMN], Parameter [name=LatitudeColumn, description=The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude], typology=COLUMN], ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=XResolution, description=Model projection resolution on the X axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=YResolution, description=Model projection resolution on the Y axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT], ListParameter [type=java.lang.String, value=null, separator=|, name=Layers, description=The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1], typology=LIST], ObjectParameter [type=java.lang.Double, defaultValue=0, value=null, name=Z, description=Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=0, value=null, name=TimeIndex, description=Time Index. The default is the first time indexed in the input environmental datasets [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT]] 2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:01:09 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:01:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:09 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:01:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 11:01:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:09 INFO JCRWorkspace:2549 - getMySpecialFolders: /Home/giancarlo.panichi/Workspace/MySpecialFolders 2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/MySpecialFolders by giancarlo.panichi 2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:01:09 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 11:01:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 11:01:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:01:09 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:01:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:01:09 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:01:09 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:09 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:09 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:09 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:09 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:09 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 11:01:09 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:01:09 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 11:01:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 11:01:09 INFO JCRWorkspace:315 - Getting Workspace of user: giancarlo.panichi 2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 11:01:09 INFO JCRServlets:238 - Calling Servlet GetItemByPath /Home/giancarlo.panichi/Workspace/ by giancarlo.panichi 2016-04-26 11:01:09 INFO JCRServlets:142 - Calling servlet getChildrenById efc48ebb-f682-4636-9a98-1cbee166e336 by giancarlo.panichi 2016-04-26 11:01:09 DEBUG ItemBuilder:108 - Is shared folder: test 2016-04-26 11:01:09 DEBUG ItemBuilder:108 - Is shared folder: Cotrix test 2016-04-26 11:01:09 DEBUG ItemBuilder:108 - Is shared folder: GPImg 2016-04-26 11:01:09 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-26 11:01:09 DEBUG ItemBuilder:108 - Is shared folder: SAI_ImportBigProject 2016-04-26 11:01:09 DEBUG ItemBuilder:108 - Is shared folder: StatisticalAlgorithmsImporter 2016-04-26 11:01:09 DEBUG ItemBuilder:108 - Is shared folder: rasters 2016-04-26 11:01:09 INFO WorkspaceExplorerServiceImpl:142 - end time - 287 msc 0 sec 2016-04-26 11:01:09 INFO WorkspaceExplorerServiceImpl:145 - Returning children size: 41 2016-04-26 11:01:29 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 11:01:29 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:01:29 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:01:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:29 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:29 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:29 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:01:29 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:01:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:29 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:29 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:29 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 11:01:29 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 11:01:29 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi 2016-04-26 11:01:29 DEBUG ServiceEngine:306 - get() - start 2016-04-26 11:01:29 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 11:01:29 DEBUG BucketCoding:42 - coding name done 2016-04-26 11:01:29 DEBUG ServiceEngine:62 - path(String) - name: StatisticalTest 2016-04-26 11:01:29 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/ 2016-04-26 11:01:29 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-26 11:01:29 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null 2016-04-26 11:01:29 INFO OperationFactory:39 - getOperation(String) - start getFolderSize 2016-04-26 11:01:29 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-26 11:01:29 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/ 2016-04-26 11:01:29 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 11:01:29 DEBUG BucketCoding:42 - coding name done 2016-04-26 11:01:29 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-26 11:01:29 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-26 11:01:29 DEBUG MongoIO:77 - open mongo connection 2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 11:01:29 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 11:01:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:29 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:29 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:01:29 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 11:01:29 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:01:29 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:29 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:29 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:29 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:29 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:29 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:29 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 11:01:29 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-26 11:01:29 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:29 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 11:01:29 INFO JCRServlets:697 - Calling Servlet get Parents By Id 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi 2016-04-26 11:01:29 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:29 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:29 INFO JCRServlets:142 - Calling servlet getChildrenById 6543184f-3c92-4982-88ed-1287d525eca2 by giancarlo.panichi 2016-04-26 11:01:29 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@5f244f4f, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@4961b34, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@1ad3f546, socketFactory=javax.net.DefaultSocketFactory@518bd46c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-26 11:01:29 INFO MongoIO:106 - new mongo connection pool opened 2016-04-26 11:01:29 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-26 11:01:29 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-26 11:01:29 INFO WorkspaceExplorerServiceImpl:188 - end time - 58 msc 0 sec 2016-04-26 11:01:29 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null] 2016-04-26 11:01:29 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null] 2016-04-26 11:01:29 INFO connection:71 - Opened connection [connectionId{localValue:1, serverValue:1700976}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:29 INFO connection:71 - Opened connection [connectionId{localValue:2, serverValue:107853}] to mongo2-d-d4s.d4science.org:27017 2016-04-26 11:01:29 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-26 11:01:29 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:29 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=2254889, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:29 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1778761, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:29 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-26 11:01:29 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:29 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:29 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:29 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:29 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=2.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:29 INFO connection:71 - Opened connection [connectionId{localValue:5, serverValue:1700978}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:29 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700978}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:29 DEBUG command:56 - Command execution completed 2016-04-26 11:01:29 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700978}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:29 DEBUG command:56 - Command execution completed 2016-04-26 11:01:29 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700978}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:29 DEBUG command:56 - Command execution completed 2016-04-26 11:01:29 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest 2016-04-26 11:01:29 INFO connection:71 - Opened connection [connectionId{localValue:4, serverValue:2005022}] to mongo1-d-d4s.d4science.org:27017 2016-04-26 11:01:29 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-26 11:01:29 INFO connection:71 - Opened connection [connectionId{localValue:3, serverValue:1418449}] to mongo4-d-d4s.d4science.org:27017 2016-04-26 11:01:29 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-26 11:01:29 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=964119, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:29 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700978}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:29 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=2.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:29 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1748836, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:29 DEBUG command:56 - Command execution completed 2016-04-26 11:01:29 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=2.3 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.8 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.7 ms, state=CONNECTED}] 2016-04-26 11:01:29 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:5, serverValue:1700978}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:29 DEBUG command:56 - Command execution completed 2016-04-26 11:01:29 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:5, serverValue:1700978}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:30 DEBUG query:56 - Query completed 2016-04-26 11:01:30 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 7 objects 2016-04-26 11:01:30 DEBUG connection:56 - Closing connection connectionId{localValue:4, serverValue:2005022} 2016-04-26 11:01:30 DEBUG connection:56 - Closing connection connectionId{localValue:3, serverValue:1418449} 2016-04-26 11:01:30 DEBUG connection:56 - Closing connection connectionId{localValue:2, serverValue:107853} 2016-04-26 11:01:30 INFO connection:71 - Closed connection [connectionId{localValue:5, serverValue:1700978}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-26 11:01:30 DEBUG connection:56 - Closing connection connectionId{localValue:5, serverValue:1700978} 2016-04-26 11:01:30 DEBUG connection:56 - Closing connection connectionId{localValue:1, serverValue:1700976} 2016-04-26 11:01:30 INFO MongoIO:508 - Mongo has been closed 2016-04-26 11:01:30 INFO DefaultMongoClient:1329 - getFolderTotalVolume 130827 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest 2016-04-26 11:01:30 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest 2016-04-26 11:01:30 INFO WorkspaceExplorerServiceImpl:503 - returning size: 130827 2016-04-26 11:01:31 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId e8663e07-6286-4212-920c-54dd7bbf205c 2016-04-26 11:01:31 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId e8663e07-6286-4212-920c-54dd7bbf205c 2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:01:31 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:01:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:31 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:31 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:31 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: e8663e07-6286-4212-920c-54dd7bbf205c 2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-26 11:01:31 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-26 11:01:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:31 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:31 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:31 INFO JCRServlets:267 - Servlet getItemById e8663e07-6286-4212-920c-54dd7bbf205c 2016-04-26 11:01:31 INFO JCRServlets:267 - Servlet getItemById e8663e07-6286-4212-920c-54dd7bbf205c 2016-04-26 11:01:31 INFO JCRServlets:142 - Calling servlet getChildrenById e8663e07-6286-4212-920c-54dd7bbf205c by giancarlo.panichi 2016-04-26 11:01:31 DEBUG ServiceEngine:306 - get() - start 2016-04-26 11:01:31 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 11:01:31 DEBUG BucketCoding:42 - coding name done 2016-04-26 11:01:31 DEBUG ServiceEngine:62 - path(String) - name: Max_Ent_Niche_Modelling 2016-04-26 11:01:31 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/ 2016-04-26 11:01:31 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-26 11:01:31 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null 2016-04-26 11:01:31 INFO OperationFactory:39 - getOperation(String) - start getFolderSize 2016-04-26 11:01:31 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-26 11:01:31 DEBUG GetSize:45 - remotePath: /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/ 2016-04-26 11:01:31 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/ rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 11:01:31 DEBUG BucketCoding:42 - coding name done 2016-04-26 11:01:31 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-26 11:01:31 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-26 11:01:31 DEBUG MongoIO:77 - open mongo connection 2016-04-26 11:01:31 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-26 11:01:31 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:31 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:31 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:31 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@5f244f4f, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@4961b34, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@1ad3f546, socketFactory=javax.net.DefaultSocketFactory@518bd46c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-26 11:01:31 INFO MongoIO:106 - new mongo connection pool opened 2016-04-26 11:01:31 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-26 11:01:31 INFO connection:71 - Opened connection [connectionId{localValue:7, serverValue:1700979}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:31 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:31 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1471138, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:31 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-26 11:01:31 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:31 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:31 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:31 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:31 INFO connection:71 - Opened connection [connectionId{localValue:9, serverValue:2005024}] to mongo1-d-d4s.d4science.org:27017 2016-04-26 11:01:31 INFO connection:71 - Opened connection [connectionId{localValue:6, serverValue:107856}] to mongo2-d-d4s.d4science.org:27017 2016-04-26 11:01:31 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-26 11:01:31 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-26 11:01:31 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=932783, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:31 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:31 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1133231, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:31 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:01:31 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:01:31 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 11:01:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:31 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:01:31 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:31 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:31 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:31 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:31 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:31 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:31 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:31 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:31 INFO connection:71 - Opened connection [connectionId{localValue:8, serverValue:1418451}] to mongo4-d-d4s.d4science.org:27017 2016-04-26 11:01:31 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-26 11:01:31 INFO JCRServlets:267 - Servlet getItemById e8663e07-6286-4212-920c-54dd7bbf205c 2016-04-26 11:01:31 INFO JCRServlets:267 - Servlet getItemById e8663e07-6286-4212-920c-54dd7bbf205c 2016-04-26 11:01:31 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1568749, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:31 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=0.9 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.1 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.6 ms, state=CONNECTED}] 2016-04-26 11:01:31 INFO connection:71 - Opened connection [connectionId{localValue:10, serverValue:1700980}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:31 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700980}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:31 DEBUG command:56 - Command execution completed 2016-04-26 11:01:31 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700980}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:31 DEBUG command:56 - Command execution completed 2016-04-26 11:01:31 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700980}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:31 DEBUG command:56 - Command execution completed 2016-04-26 11:01:31 DEBUG DefaultMongoClient:1324 - getFolderTotalVolume for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling 2016-04-26 11:01:31 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700980}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:31 DEBUG command:56 - Command execution completed 2016-04-26 11:01:31 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:10, serverValue:1700980}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:31 DEBUG command:56 - Command execution completed 2016-04-26 11:01:31 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:10, serverValue:1700980}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:31 INFO JCRServlets:142 - Calling servlet getChildrenById e8663e07-6286-4212-920c-54dd7bbf205c by giancarlo.panichi 2016-04-26 11:01:31 INFO JCRServlets:697 - Calling Servlet get Parents By Id e8663e07-6286-4212-920c-54dd7bbf205c by giancarlo.panichi 2016-04-26 11:01:31 INFO WorkspaceExplorerServiceImpl:188 - end time - 64 msc 0 sec 2016-04-26 11:01:31 INFO JCRServlets:267 - Servlet getItemById 6543184f-3c92-4982-88ed-1287d525eca2 2016-04-26 11:01:31 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=e8663e07-6286-4212-920c-54dd7bbf205c, name=Max_Ent_Niche_Modelling, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null] 2016-04-26 11:01:31 INFO JCRServlets:267 - Servlet getItemById efc48ebb-f682-4636-9a98-1cbee166e336 2016-04-26 11:01:31 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=6543184f-3c92-4982-88ed-1287d525eca2, name=StatisticalTest, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=null] 2016-04-26 11:01:31 DEBUG ItemBuilder:361 - breadcrumb returning: Item [id=efc48ebb-f682-4636-9a98-1cbee166e336, name=Home, type=FOLDER, path=null, children=[], owner=null, isFolder=true, isSpecialFolder=false, isSharedFolder=false, isRoot=true, creationDate=null] 2016-04-26 11:01:32 INFO WorkspaceExplorerServiceImpl:600 - getFormattedSize ByItemId 8e60c918-6148-4c5b-9fd0-2dcefa90fa90 2016-04-26 11:01:32 INFO WorkspaceExplorerServiceImpl:486 - get Size By ItemId 8e60c918-6148-4c5b-9fd0-2dcefa90fa90 2016-04-26 11:01:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 11:01:32 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 11:01:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 11:01:32 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:32 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:32 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:32 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:32 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:32 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:32 INFO WorkspaceExplorerServiceImpl:518 - get MimeType By ItemId 8e60c918-6148-4c5b-9fd0-2dcefa90fa90 2016-04-26 11:01:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-26 11:01:32 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-26 11:01:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-26 11:01:32 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:32 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:32 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:32 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:32 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:32 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:32 INFO WorkspaceExplorerServiceImpl:549 - Get user ACL to FOLDER id: 8e60c918-6148-4c5b-9fd0-2dcefa90fa90 2016-04-26 11:01:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:01:32 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 11:01:32 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:01:32 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:32 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:32 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:32 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:32 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:32 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:32 INFO JCRServlets:267 - Servlet getItemById 8e60c918-6148-4c5b-9fd0-2dcefa90fa90 2016-04-26 11:01:32 INFO JCRServlets:267 - Servlet getItemById 8e60c918-6148-4c5b-9fd0-2dcefa90fa90 2016-04-26 11:01:32 INFO JCRServlets:267 - Servlet getItemById 8e60c918-6148-4c5b-9fd0-2dcefa90fa90 2016-04-26 11:01:32 INFO WorkspaceExplorerServiceImpl:503 - returning size: 96531 2016-04-26 11:01:32 DEBUG query:56 - Query completed 2016-04-26 11:01:32 INFO DefaultMongoClient:1372 - retrieveRemoteFileObject found 1 objects 2016-04-26 11:01:32 DEBUG connection:56 - Closing connection connectionId{localValue:9, serverValue:2005024} 2016-04-26 11:01:32 DEBUG connection:56 - Closing connection connectionId{localValue:6, serverValue:107856} 2016-04-26 11:01:32 INFO connection:71 - Closed connection [connectionId{localValue:10, serverValue:1700980}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-26 11:01:32 DEBUG connection:56 - Closing connection connectionId{localValue:8, serverValue:1418451} 2016-04-26 11:01:32 DEBUG connection:56 - Closing connection connectionId{localValue:10, serverValue:1700980} 2016-04-26 11:01:32 INFO MongoIO:508 - Mongo has been closed 2016-04-26 11:01:32 INFO DefaultMongoClient:1329 - getFolderTotalVolume 96531 for folder /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling 2016-04-26 11:01:32 DEBUG GetSize:35 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling 2016-04-26 11:01:32 DEBUG connection:56 - Closing connection connectionId{localValue:7, serverValue:1700979} 2016-04-26 11:01:32 INFO WorkspaceExplorerServiceImpl:503 - returning size: 96531 2016-04-26 11:01:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:01:33 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 11:01:33 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:01:33 DEBUG DataMinerManagerServiceImpl:387 - retrieveTableInformation(): Item [id=8e60c918-6148-4c5b-9fd0-2dcefa90fa90, name=Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv, type=EXTERNAL_FILE, path=/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv, children=[], owner=giancarlo.panichi, isFolder=false, isSpecialFolder=false, isSharedFolder=false, isRoot=false, creationDate=Wed Mar 09 18:11:30 CET 2016] 2016-04-26 11:01:33 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:33 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:33 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:33 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:33 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:33 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:33 INFO JCRServlets:267 - Servlet getItemById 8e60c918-6148-4c5b-9fd0-2dcefa90fa90 2016-04-26 11:01:33 DEBUG ServiceEngine:193 - get() - start 2016-04-26 11:01:33 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 11:01:33 DEBUG BucketCoding:42 - coding name done 2016-04-26 11:01:33 DEBUG ServiceEngine:62 - path(String) - name: Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv 2016-04-26 11:01:33 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/ 2016-04-26 11:01:33 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-26 11:01:33 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= null file..getGcubeAccessType() null 2016-04-26 11:01:33 INFO OperationFactory:39 - getOperation(String) - start download 2016-04-26 11:01:33 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-26 11:01:33 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 11:01:33 DEBUG BucketCoding:42 - coding name done 2016-04-26 11:01:33 DEBUG Download:57 - DOWNLOAD /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv in bucket: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv 2016-04-26 11:01:33 DEBUG Operation:173 - get(String) - start 2016-04-26 11:01:33 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-26 11:01:33 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-26 11:01:33 DEBUG MongoIO:77 - open mongo connection 2016-04-26 11:01:33 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:33 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@5f244f4f, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@4961b34, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@1ad3f546, socketFactory=javax.net.DefaultSocketFactory@518bd46c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-26 11:01:33 INFO MongoIO:106 - new mongo connection pool opened 2016-04-26 11:01:33 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:11, serverValue:107857}] to mongo2-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:12, serverValue:1700982}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1436533, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:33 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1281460, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:33 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:14, serverValue:2005025}] to mongo1-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1424280, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:13, serverValue:1418452}] to mongo4-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1594425, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.6 ms, state=CONNECTED}] 2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:15, serverValue:1700983}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG command:56 - Command execution completed 2016-04-26 11:01:33 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG command:56 - Command execution completed 2016-04-26 11:01:33 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG command:56 - Command execution completed 2016-04-26 11:01:33 INFO DefaultMongoClient:96 - MongoClient get method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM] 2016-04-26 11:01:33 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG command:56 - Command execution completed 2016-04-26 11:01:33 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG command:56 - Command execution completed 2016-04-26 11:01:33 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv 2016-04-26 11:01:33 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG command:56 - Command execution completed 2016-04-26 11:01:33 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG command:56 - Command execution completed 2016-04-26 11:01:33 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv 2016-04-26 11:01:33 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG query:56 - Query completed 2016-04-26 11:01:33 INFO MongoIO:186 - object found Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv 2016-04-26 11:01:33 INFO DefaultMongoClient:1047 - MongoClient download method: OperationDefinition [operation=DOWNLOAD, localResource=VOID, remoteResource=PATH_FOR_INPUT_STREAM] 2016-04-26 11:01:33 INFO DefaultMongoClient:1491 - set last operation: DOWNLOAD 2016-04-26 11:01:33 DEBUG update:56 - Updating documents in namespace remotefs.fs.files on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG update:56 - Update completed 2016-04-26 11:01:33 DEBUG query:56 - Sending query of namespace remotefs.fs.chunks on connection [connectionId{localValue:15, serverValue:1700983}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG query:56 - Query completed 2016-04-26 11:01:33 INFO HomeManageFactory:196 - loading home. (Username: giancarlo.panichi, scope: /gcube/devsec/devVRE) 2016-04-26 11:01:33 INFO HomeManageFactory:118 - getHomeManagerFactory 2016-04-26 11:01:33 DEBUG JCRHomeManagerFactory:123 - getHomeManager 2016-04-26 11:01:33 INFO JCRHomeManager:48 - getUser portalLogin: giancarlo.panichi 2016-04-26 11:01:33 INFO JCRHomeManager:93 - getHome user: giancarlo.panichi 2016-04-26 11:01:33 DEBUG JCRHomeManager:97 - User is already logged 2016-04-26 11:01:33 INFO JCRServlets:267 - Servlet getItemById 8e60c918-6148-4c5b-9fd0-2dcefa90fa90 2016-04-26 11:01:33 INFO JCRWorkspaceItem:998 - get PublicLink for item: Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv 2016-04-26 11:01:33 INFO ServiceEngine:34 - file gCube parameter costructor: shared /gcube 2016-04-26 11:01:33 INFO ServiceEngine:44 - file gCube parameter before: shared /gcube 2016-04-26 11:01:33 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 11:01:33 DEBUG BucketCoding:42 - coding name done 2016-04-26 11:01:33 DEBUG ServiceEngine:62 - path(String) - name: Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv 2016-04-26 11:01:33 DEBUG ServiceEngine:72 - path(String) - path: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/ 2016-04-26 11:01:33 INFO ServiceEngine:52 - file gCube parameter after: shared /gcube 2016-04-26 11:01:33 DEBUG OperationManager:67 - connection(boolean) - start 2016-04-26 11:01:33 INFO OperationManager:69 - startOpertion getResource..getGcubeAccessType()= shared file..getGcubeAccessType() shared 2016-04-26 11:01:33 INFO OperationFactory:39 - getOperation(String) - start getHttpUrl 2016-04-26 11:01:33 DEBUG OperationFactory:97 - getOperation(String) - end 2016-04-26 11:01:33 DEBUG BucketCoding:32 - Coding name: path: /Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv rootArea /gcube/home/org.gcube.portlets.user/test-home-library/ 2016-04-26 11:01:33 DEBUG BucketCoding:42 - coding name done 2016-04-26 11:01:33 DEBUG TransportManagerFactory:39 - getOperation(String) - start 2016-04-26 11:01:33 INFO TransportManagerFactory:54 - 0 implementation found. Load default implementation of TransportManager 2016-04-26 11:01:33 DEBUG MongoIO:77 - open mongo connection 2016-04-26 11:01:33 INFO cluster:71 - Cluster created with settings {hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], mode=MULTIPLE, requiredClusterType=UNKNOWN, serverSelectionTimeout='30000 ms', maxWaitQueueSize=150} 2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo2-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo3-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=UNKNOWN, servers=[{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:33 DEBUG MongoIO:85 - Istantiate MongoDB with options: MongoClientOptions{description='null', readPreference=primaryPreferred, writeConcern=WriteConcern{w=1, wtimeout=0, fsync=false, j=false, codecRegistry=org.bson.codecs.configuration.ProvidersCodecRegistry@5f244f4f, minConnectionsPerHost=0, maxConnectionsPerHost=30, threadsAllowedToBlockForConnectionMultiplier=5, serverSelectionTimeout=30000, maxWaitTime=120000, maxConnectionIdleTime=0, maxConnectionLifeTime=0, connectTimeout=30000, socketTimeout=0, socketKeepAlive=false, sslEnabled=false, sslInvalidHostNamesAllowed=false, alwaysUseMBeans=false, heartbeatFrequency=10000, minHeartbeatFrequency=500, heartbeatConnectTimeout=20000, heartbeatSocketTimeout=20000, localThreshold=15, requiredReplicaSetName='null', dbDecoderFactory=com.mongodb.DefaultDBDecoder$1@4961b34, dbEncoderFactory=com.mongodb.DefaultDBEncoder$1@1ad3f546, socketFactory=javax.net.DefaultSocketFactory@518bd46c, cursorFinalizerEnabled=true, connectionPoolSettings=ConnectionPoolSettings{maxSize=30, minSize=0, maxWaitQueueSize=150, maxWaitTimeMS=120000, maxConnectionLifeTimeMS=0, maxConnectionIdleTimeMS=0, maintenanceInitialDelayMS=0, maintenanceFrequencyMS=60000}, socketSettings=SocketSettings{connectTimeoutMS=30000, readTimeoutMS=0, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}, serverSettings=ServerSettings{heartbeatFrequencyMS=10000, minHeartbeatFrequencyMS=500}, heartbeatSocketSettings=SocketSettings{connectTimeoutMS=20000, readTimeoutMS=20000, keepAlive=false, receiveBufferSize=0, sendBufferSize=0}} 2016-04-26 11:01:33 INFO MongoIO:106 - new mongo connection pool opened 2016-04-26 11:01:33 INFO cluster:71 - No server chosen by PrimaryServerSelector from cluster description ClusterDescription{type=UNKNOWN, connectionMode=MULTIPLE, all=[ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}]}. Waiting for 30000 ms before timing out 2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:16, serverValue:107858}] to mongo2-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:17, serverValue:1700984}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1012344, setName='storagedev', canonicalAddress=mongo2-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:33 INFO cluster:71 - Discovered cluster type of REPLICA_SET 2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo4-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:33 INFO cluster:71 - Adding discovered server mongo1-d-d4s.d4science.org:27017 to client view of cluster 2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=56c481dca32e5d3f9711532d, maxDocumentSize=16777216, roundTripTimeNanos=1181466, setName='storagedev', canonicalAddress=mongo3-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:33 INFO cluster:71 - Discovered replica set primary mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:19, serverValue:2005026}] to mongo1-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo1-d-d4s.d4science.org:27017 2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 8]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1014645, setName='storagedev', canonicalAddress=mongo1-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=UNKNOWN, state=CONNECTING}] 2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:18, serverValue:1418453}] to mongo4-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG cluster:56 - Checking status of mongo4-d-d4s.d4science.org:27017 2016-04-26 11:01:33 INFO cluster:71 - Monitor thread successfully connected to server with description ServerDescription{address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, state=CONNECTED, ok=true, version=ServerVersion{versionList=[3, 0, 7]}, minWireVersion=0, maxWireVersion=3, electionId=null, maxDocumentSize=16777216, roundTripTimeNanos=1463286, setName='storagedev', canonicalAddress=mongo4-d-d4s.d4science.org:27017, hosts=[mongo2-d-d4s.d4science.org:27017, mongo3-d-d4s.d4science.org:27017], passives=[mongo4-d-d4s.d4science.org:27017], arbiters=[mongo1-d-d4s.d4science.org:27017], primary='mongo3-d-d4s.d4science.org:27017', tagSet=TagSet{[]}} 2016-04-26 11:01:33 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.0 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.2 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}] 2016-04-26 11:01:33 INFO connection:71 - Opened connection [connectionId{localValue:20, serverValue:1700985}] to mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700985}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG command:56 - Command execution completed 2016-04-26 11:01:33 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700985}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG command:56 - Command execution completed 2016-04-26 11:01:33 DEBUG command:56 - Sending command {createIndexes : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700985}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG command:56 - Command execution completed 2016-04-26 11:01:33 DEBUG DefaultMongoClient:1405 - MongoDB - pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv 2016-04-26 11:01:33 INFO MongoIO:137 - MongoDB - retrieve object from pathServer: /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv 2016-04-26 11:01:33 DEBUG command:56 - Sending command {count : BsonString{value='fs.files'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700985}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG command:56 - Command execution completed 2016-04-26 11:01:33 DEBUG command:56 - Sending command {count : BsonString{value='fs.chunks'}} to database remotefs on connection [connectionId{localValue:20, serverValue:1700985}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG command:56 - Command execution completed 2016-04-26 11:01:33 INFO MongoIO:168 - remote object is not a validID : /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv 2016-04-26 11:01:33 DEBUG query:56 - Sending query of namespace remotefs.fs.files on connection [connectionId{localValue:20, serverValue:1700985}] to server mongo3-d-d4s.d4science.org:27017 2016-04-26 11:01:33 DEBUG query:56 - Query completed 2016-04-26 11:01:33 INFO MongoIO:186 - object found Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv 2016-04-26 11:01:33 DEBUG connection:56 - Closing connection connectionId{localValue:19, serverValue:2005026} 2016-04-26 11:01:33 DEBUG connection:56 - Closing connection connectionId{localValue:18, serverValue:1418453} 2016-04-26 11:01:33 DEBUG connection:56 - Closing connection connectionId{localValue:16, serverValue:107858} 2016-04-26 11:01:33 INFO connection:71 - Closed connection [connectionId{localValue:20, serverValue:1700985}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-26 11:01:33 DEBUG connection:56 - Closing connection connectionId{localValue:20, serverValue:1700985} 2016-04-26 11:01:33 INFO MongoIO:508 - Mongo has been closed 2016-04-26 11:01:33 DEBUG Operation:81 - PATH /gcube/home/org.gcube.portlets.user/test-home-library/Home/giancarlo.panichi/Workspace/StatisticalTest/Max_Ent_Niche_Modelling/Latimeria_chalumnae_scientific_name_occurrences_from_OBISGBIF_-_CSV_STANDARD.csv 2016-04-26 11:01:33 DEBUG connection:56 - Closing connection connectionId{localValue:17, serverValue:1700984} 2016-04-26 11:01:33 INFO Operation:55 - URL generated: smp://data-d.d4science.org/mVHKwdH+VOfVW2bfDjeAkGie6DAgHZc0GmbP5+HKCzc= 2016-04-26 11:01:33 INFO Operation:57 - URL generated: smp://data-d.d4science.org/mVHKwdH+VOfVW2bfDjeAkGie6DAgHZc0GmbP5+HKCzc= 2016-04-26 11:01:33 DEBUG Operation:87 - translating: http://data-d.d4science.org/mVHKwdH+VOfVW2bfDjeAkGie6DAgHZc0GmbP5+HKCzc= 2016-04-26 11:01:33 DEBUG Operation:90 - base Url extracted is: http://data-d.d4science.org/ 2016-04-26 11:01:33 DEBUG Operation:93 - get params: http://data-d.d4science.org/ mVHKwdH+VOfVW2bfDjeAkGie6DAgHZc0GmbP5+HKCzc= 2016-04-26 11:01:33 INFO Operation:99 - uri translated in http url: http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0 2016-04-26 11:01:33 INFO Operation:65 - URL translated: http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0 2016-04-26 11:01:34 DEBUG cluster:56 - Checking status of mongo2-d-d4s.d4science.org:27017 2016-04-26 11:01:34 DEBUG cluster:56 - Updating cluster description to {type=REPLICA_SET, servers=[{address=mongo1-d-d4s.d4science.org:27017, type=REPLICA_SET_ARBITER, roundTripTime=1.4 ms, state=CONNECTED}, {address=mongo2-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.5 ms, state=CONNECTED}, {address=mongo3-d-d4s.d4science.org:27017, type=REPLICA_SET_PRIMARY, roundTripTime=1.3 ms, state=CONNECTED}, {address=mongo4-d-d4s.d4science.org:27017, type=REPLICA_SET_SECONDARY, roundTripTime=1.6 ms, state=CONNECTED}] 2016-04-26 11:01:37 DEBUG connection:56 - Closing connection connectionId{localValue:14, serverValue:2005025} 2016-04-26 11:01:37 DEBUG connection:56 - Closing connection connectionId{localValue:11, serverValue:107857} 2016-04-26 11:01:37 DEBUG connection:56 - Closing connection connectionId{localValue:13, serverValue:1418452} 2016-04-26 11:01:37 INFO connection:71 - Closed connection [connectionId{localValue:15, serverValue:1700983}] to mongo3-d-d4s.d4science.org:27017 because the pool has been closed. 2016-04-26 11:01:37 DEBUG connection:56 - Closing connection connectionId{localValue:15, serverValue:1700983} 2016-04-26 11:01:37 DEBUG connection:56 - Closing connection connectionId{localValue:12, serverValue:1700982} 2016-04-26 11:01:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-26 11:01:40 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-26 11:02:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 11:02:35 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 11:03:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:03:30 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 11:03:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-26 11:03:33 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-26 11:03:33 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:03:33 DEBUG DataMinerManagerServiceImpl:149 - StartComputation(): [computationTitle=Max Ent Niche Modelling-2016-04-26 11:01, computationDescription=Max Ent Niche Modelling-2016-04-26 11:01, operator=Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[ObjectParameter [type=java.lang.String, defaultValue=maxent_, value=maxent_, name=OutputTableLabel, description=The name of the table to produce [Min N. of Entries:1; Max N. of Entries:1; default:maxent_], typology=OBJECT], ObjectParameter [type=java.lang.String, defaultValue=generic_species, value=Latimeria, name=SpeciesName, description=The name of the species to model and the occurrence records refer to [Min N. of Entries:1; Max N. of Entries:1; default:generic_species], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1000, value=1000, name=MaxIterations, description=The number of learning iterations of the MaxEnt algorithm [Min N. of Entries:1; Max N. of Entries:1; default:1000], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=0.5, name=DefaultPrevalence, description=A priori probability of presence at ordinary occurrence points [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT], TabularParameter [tableName=http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0, templates=[], name=OccurrencesTable, description=A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=LongitudeColumn, description=The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude], typology=COLUMN], Parameter [name=LatitudeColumn, description=The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude], typology=COLUMN], ObjectParameter [type=java.lang.Double, defaultValue=1, value=0.5, name=XResolution, description=Model projection resolution on the X axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=1, value=0.5, name=YResolution, description=Model projection resolution on the Y axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT], ListParameter [type=java.lang.String, value=fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31, separator=|, name=Layers, description=The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1], typology=LIST], ObjectParameter [type=java.lang.Double, defaultValue=0, value=0.0, name=Z, description=Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=0, value=0, name=TimeIndex, description=Time Index. The default is the first time indexed in the input environmental datasets [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT]], hasImage=false]] 2016-04-26 11:03:33 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 11:03:33 INFO StatWPSClientSession:84 - CONNECT 2016-04-26 11:03:34 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt OutputTableLabel The name of the table to produce Name of the parameter: OutputTableLabel. The name of the table to produce maxent_ SpeciesName The name of the species to model and the occurrence records refer to Name of the parameter: SpeciesName. The name of the species to model and the occurrence records refer to generic_species MaxIterations The number of learning iterations of the MaxEnt algorithm Name of the parameter: MaxIterations. The number of learning iterations of the MaxEnt algorithm 1000 DefaultPrevalence A priori probability of presence at ordinary occurrence points Name of the parameter: DefaultPrevalence. A priori probability of presence at ordinary occurrence points 0.5 OccurrencesTable A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] Name of the parameter: OccurrencesTable. A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] text/xml text/xml text/csv text/plain LongitudeColumn The column containing longitude values [the name of a column from OccurrencesTable] Name of the parameter: LongitudeColumn. The column containing longitude values [the name of a column from OccurrencesTable] decimallongitude LatitudeColumn The column containing latitude values [the name of a column from OccurrencesTable] Name of the parameter: LatitudeColumn. The column containing latitude values [the name of a column from OccurrencesTable] decimallatitude XResolution Model projection resolution on the X axis in decimal degrees Name of the parameter: XResolution. Model projection resolution on the X axis in decimal degrees 1 YResolution Model projection resolution on the Y axis in decimal degrees Name of the parameter: YResolution. Model projection resolution on the Y axis in decimal degrees 1 Layers The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) Name of the parameter: Layers. The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) Z Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer Name of the parameter: Z. Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer 0 TimeIndex Time Index. The default is the first time indexed in the input environmental datasets Name of the parameter: TimeIndex. Time Index. The default is the first time indexed in the input environmental datasets 0 Best Threshold Best threshold for transforming MaxEnt values into 0/1 probability assignments Name of the parameter: Best Threshold. Best threshold for transforming MaxEnt values into 0/1 probability assignments Estimated Prevalence The a posteriori estimated prevalence of the species Name of the parameter: Estimated Prevalence. The a posteriori estimated prevalence of the species Variables contributions The contribution of each variable to the MaxEnt values estimates Name of the parameter: Variables contributions. The contribution of each variable to the MaxEnt values estimates Variables Permutations Importance The importance of the permutations of the variables during the training Name of the parameter: Variables Permutations Importance. The importance of the permutations of the variables during the training ASCII Maps of the environmental layers for checking features aligments ASCII Maps of the environmental layers for checking features aligments Name of the parameter: ASCII Maps of the environmental layers for checking features aligments. ASCII Maps of the environmental layers for checking features aligments application/d4science application/d4science OutputTable7 Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OutputTable7. Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-26 11:03:34 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input: OutputTableLabel The name of the table to produce Name of the parameter: OutputTableLabel. The name of the table to produce maxent_ 2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input: SpeciesName The name of the species to model and the occurrence records refer to Name of the parameter: SpeciesName. The name of the species to model and the occurrence records refer to generic_species 2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input: MaxIterations The number of learning iterations of the MaxEnt algorithm Name of the parameter: MaxIterations. The number of learning iterations of the MaxEnt algorithm 1000 2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input: DefaultPrevalence A priori probability of presence at ordinary occurrence points Name of the parameter: DefaultPrevalence. A priori probability of presence at ordinary occurrence points 0.5 2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencesTable A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] Name of the parameter: OccurrencesTable. A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] text/xml text/xml text/csv text/plain 2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input: LongitudeColumn The column containing longitude values [the name of a column from OccurrencesTable] Name of the parameter: LongitudeColumn. The column containing longitude values [the name of a column from OccurrencesTable] decimallongitude 2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input: LatitudeColumn The column containing latitude values [the name of a column from OccurrencesTable] Name of the parameter: LatitudeColumn. The column containing latitude values [the name of a column from OccurrencesTable] decimallatitude 2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input: XResolution Model projection resolution on the X axis in decimal degrees Name of the parameter: XResolution. Model projection resolution on the X axis in decimal degrees 1 2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input: YResolution Model projection resolution on the Y axis in decimal degrees Name of the parameter: YResolution. Model projection resolution on the Y axis in decimal degrees 1 2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input: Layers The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) Name of the parameter: Layers. The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) 2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input: Z Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer Name of the parameter: Z. Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer 0 2016-04-26 11:03:34 DEBUG SClient4WPS:291 - WPSClient->Input: TimeIndex Time Index. The default is the first time indexed in the input environmental datasets Name of the parameter: TimeIndex. Time Index. The default is the first time indexed in the input environmental datasets 0 2016-04-26 11:03:34 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-26 11:03:34 DEBUG SClient4WPS:298 - WPSClient->Output: Best Threshold Best threshold for transforming MaxEnt values into 0/1 probability assignments Name of the parameter: Best Threshold. Best threshold for transforming MaxEnt values into 0/1 probability assignments 2016-04-26 11:03:34 DEBUG SClient4WPS:298 - WPSClient->Output: Estimated Prevalence The a posteriori estimated prevalence of the species Name of the parameter: Estimated Prevalence. The a posteriori estimated prevalence of the species 2016-04-26 11:03:34 DEBUG SClient4WPS:298 - WPSClient->Output: Variables contributions The contribution of each variable to the MaxEnt values estimates Name of the parameter: Variables contributions. The contribution of each variable to the MaxEnt values estimates 2016-04-26 11:03:34 DEBUG SClient4WPS:298 - WPSClient->Output: Variables Permutations Importance The importance of the permutations of the variables during the training Name of the parameter: Variables Permutations Importance. The importance of the permutations of the variables during the training 2016-04-26 11:03:34 DEBUG SClient4WPS:298 - WPSClient->Output: ASCII Maps of the environmental layers for checking features aligments ASCII Maps of the environmental layers for checking features aligments Name of the parameter: ASCII Maps of the environmental layers for checking features aligments. ASCII Maps of the environmental layers for checking features aligments application/d4science application/d4science 2016-04-26 11:03:34 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable7 Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OutputTable7. Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/csv text/csv 2016-04-26 11:03:34 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-26 11:03:34 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->OutputTableLabel is a Literal Input 2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: maxent_ 2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The name of the table to produce 2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OutputTableLabel 2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=maxent_, value=null, name=OutputTableLabel, description=The name of the table to produce [Min N. of Entries:1; Max N. of Entries:1; default:maxent_], typology=OBJECT] 2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->SpeciesName is a Literal Input 2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: generic_species 2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The name of the species to model and the occurrence records refer to 2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:SpeciesName 2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=generic_species, value=null, name=SpeciesName, description=The name of the species to model and the occurrence records refer to [Min N. of Entries:1; Max N. of Entries:1; default:generic_species], typology=OBJECT] 2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->MaxIterations is a Literal Input 2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: 1000 2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The number of learning iterations of the MaxEnt algorithm 2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:MaxIterations 2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1000, value=null, name=MaxIterations, description=The number of learning iterations of the MaxEnt algorithm [Min N. of Entries:1; Max N. of Entries:1; default:1000], typology=OBJECT] 2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->DefaultPrevalence is a Literal Input 2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: 0.5 2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A priori probability of presence at ordinary occurrence points 2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:DefaultPrevalence 2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=null, name=DefaultPrevalence, description=A priori probability of presence at ordinary occurrence points [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT] 2016-04-26 11:03:34 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencesTable is a Complex Input 2016-04-26 11:03:34 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-26 11:03:34 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-26 11:03:34 DEBUG WPS2SM:201 - Schema: null 2016-04-26 11:03:34 DEBUG WPS2SM:202 - Encoding: null 2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] 2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencesTable 2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencesTable, description=A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->LongitudeColumn is a Literal Input 2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: decimallongitude 2016-04-26 11:03:34 DEBUG WPS2SM:130 - Machter title: The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude] 2016-04-26 11:03:34 DEBUG WPS2SM:131 - Machter find: true 2016-04-26 11:03:34 DEBUG WPS2SM:132 - Machter group: the name of a column from OccurrencesTable 2016-04-26 11:03:34 DEBUG WPS2SM:133 - Machter start: 40 2016-04-26 11:03:34 DEBUG WPS2SM:134 - Machter end: 82 2016-04-26 11:03:34 DEBUG WPS2SM:135 - Machter Group Count: 1 2016-04-26 11:03:34 DEBUG WPS2SM:137 - Matcher referredTabularParameterName: OccurrencesTable 2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The column containing longitude values [the name of a column from OccurrencesTable] 2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:LongitudeColumn 2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: Parameter [name=LongitudeColumn, description=The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude], typology=COLUMN] 2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->LatitudeColumn is a Literal Input 2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: decimallatitude 2016-04-26 11:03:34 DEBUG WPS2SM:130 - Machter title: The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude] 2016-04-26 11:03:34 DEBUG WPS2SM:131 - Machter find: true 2016-04-26 11:03:34 DEBUG WPS2SM:132 - Machter group: the name of a column from OccurrencesTable 2016-04-26 11:03:34 DEBUG WPS2SM:133 - Machter start: 39 2016-04-26 11:03:34 DEBUG WPS2SM:134 - Machter end: 81 2016-04-26 11:03:34 DEBUG WPS2SM:135 - Machter Group Count: 1 2016-04-26 11:03:34 DEBUG WPS2SM:137 - Matcher referredTabularParameterName: OccurrencesTable 2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The column containing latitude values [the name of a column from OccurrencesTable] 2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:LatitudeColumn 2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: Parameter [name=LatitudeColumn, description=The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude], typology=COLUMN] 2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->XResolution is a Literal Input 2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Model projection resolution on the X axis in decimal degrees 2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:XResolution 2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=XResolution, description=Model projection resolution on the X axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->YResolution is a Literal Input 2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Model projection resolution on the Y axis in decimal degrees 2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:YResolution 2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=YResolution, description=Model projection resolution on the Y axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->Layers is a Literal Input 2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: 2016-04-26 11:03:34 DEBUG WPS2SM:147 - Machter title: The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1] 2016-04-26 11:03:34 DEBUG WPS2SM:148 - Machter find: true 2016-04-26 11:03:34 DEBUG WPS2SM:149 - Machter group: a sequence of values separated by | 2016-04-26 11:03:34 DEBUG WPS2SM:150 - Machter start: 501 2016-04-26 11:03:34 DEBUG WPS2SM:151 - Machter end: 536 2016-04-26 11:03:34 DEBUG WPS2SM:152 - Machter Group Count: 1 2016-04-26 11:03:34 DEBUG WPS2SM:155 - Matcher separator: | 2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) 2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:Layers 2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ListParameter [type=java.lang.String, value=null, separator=|, name=Layers, description=The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1], typology=LIST] 2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->Z is a Literal Input 2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: 0 2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer 2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:Z 2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0, value=null, name=Z, description=Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT] 2016-04-26 11:03:34 DEBUG WPS2SM:254 - Conversion to SM Type->TimeIndex is a Literal Input 2016-04-26 11:03:34 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:03:34 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-26 11:03:34 DEBUG WPS2SM:101 - Guessed default value: 0 2016-04-26 11:03:34 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Time Index. The default is the first time indexed in the input environmental datasets 2016-04-26 11:03:34 DEBUG WPS2SM:291 - Conversion to SM Type->Name:TimeIndex 2016-04-26 11:03:34 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:03:34 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=0, value=null, name=TimeIndex, description=Time Index. The default is the first time indexed in the input environmental datasets [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT] 2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:OutputTableLabel, value=maxent_ 2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:SpeciesName, value=Latimeria 2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:MaxIterations, value=1000 2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:DefaultPrevalence, value=0.5 2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencesTable, value=http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0 2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:LongitudeColumn, value=decimalLongitude 2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:LatitudeColumn, value=decimalLatitude 2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:XResolution, value=0.5 2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:YResolution, value=0.5 2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:Layers, value=fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31 2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:Z, value=0.0 2016-04-26 11:03:34 DEBUG SClient4WPS:689 - UserInputs= key:TimeIndex, value=0 2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: OutputTableLabel to: maxent_ 2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: SpeciesName to: Latimeria 2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: MaxIterations to: 1000 2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: DefaultPrevalence to: 0.5 2016-04-26 11:03:34 DEBUG SClient4WPS:748 - Configuring Complex: OccurrencesTable to: http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0 2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: LongitudeColumn to: decimalLongitude 2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: LatitudeColumn to: decimalLatitude 2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: XResolution to: 0.5 2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: YResolution to: 0.5 2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: Layers to: fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31 2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: Z to: 0.0 2016-04-26 11:03:34 DEBUG SClient4WPS:731 - Configuring Literal: TimeIndex to: 0 2016-04-26 11:03:34 INFO StatWPSClientSession:84 - CONNECT 2016-04-26 11:03:34 DEBUG SClient4WPS:380 - Sending: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING OutputTableLabel maxent_ SpeciesName Latimeria MaxIterations 1000 DefaultPrevalence 0.5 OccurrencesTable LongitudeColumn decimalLongitude LatitudeColumn decimalLatitude XResolution 0.5 YResolution 0.5 Layers fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31 Z 0.0 TimeIndex 0 ASCII Maps of the environmental layers for checking features aligments OutputTable7 non_deterministic_output 2016-04-26 11:03:34 DEBUG StatWPSClientSession:420 - RetrieveDataViaPost(): http://dataminer1-d-d4s.d4science.org:80/wps/WebProcessingService? 2016-04-26 11:03:34 DEBUG SClient4WPS:399 - Retrieved ProcessLocation: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df 2016-04-26 11:03:34 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 11:03:34 DEBUG SClient4WPS:768 - Starting Process: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df 2016-04-26 11:03:34 DEBUG SClient4WPS:695 - Stated Computation ProcessLocation:http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df 2016-04-26 11:03:34 DEBUG SClient4WPS:706 - ComputationId: ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df] 2016-04-26 11:03:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:03:45 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 11:03:45 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:03:45 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df] 2016-04-26 11:03:45 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 11:03:45 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 11:03:45 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df 2016-04-26 11:03:45 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:03:45 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:03:45 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:03:45 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING 2016-04-26 11:03:45 DEBUG SClient4WPS:872 - WPS STATUS:10.0 2016-04-26 11:03:45 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=10.0, status=RUNNING, endDate=null, message=null, errResource=null] 2016-04-26 11:03:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:03:55 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 11:03:55 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:03:55 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df] 2016-04-26 11:03:55 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 11:03:55 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 11:03:55 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df 2016-04-26 11:03:55 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:03:55 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:03:55 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:03:55 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING 2016-04-26 11:03:55 DEBUG SClient4WPS:872 - WPS STATUS:30.0 2016-04-26 11:03:55 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=30.0, status=RUNNING, endDate=null, message=null, errResource=null] 2016-04-26 11:04:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:04:05 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 11:04:05 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:04:05 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df] 2016-04-26 11:04:05 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 11:04:05 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 11:04:05 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df 2016-04-26 11:04:05 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:04:05 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:04:05 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:04:05 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING 2016-04-26 11:04:05 DEBUG SClient4WPS:872 - WPS STATUS:30.0 2016-04-26 11:04:05 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=30.0, status=RUNNING, endDate=null, message=null, errResource=null] 2016-04-26 11:04:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:04:15 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 11:04:15 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:04:15 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df] 2016-04-26 11:04:15 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 11:04:15 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 11:04:15 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df 2016-04-26 11:04:15 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:04:15 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:04:15 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:04:15 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING 2016-04-26 11:04:15 DEBUG SClient4WPS:872 - WPS STATUS:70.0 2016-04-26 11:04:15 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=70.0, status=RUNNING, endDate=null, message=null, errResource=null] 2016-04-26 11:04:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:04:25 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 11:04:25 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:04:25 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df] 2016-04-26 11:04:25 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 11:04:25 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 11:04:25 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df 2016-04-26 11:04:25 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:04:25 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:04:25 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:04:25 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING 2016-04-26 11:04:25 DEBUG SClient4WPS:872 - WPS STATUS:70.0 2016-04-26 11:04:25 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=70.0, status=RUNNING, endDate=null, message=null, errResource=null] 2016-04-26 11:04:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:04:25 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 11:04:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:04:35 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 11:04:35 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:04:35 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df] 2016-04-26 11:04:35 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 11:04:35 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 11:04:35 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df 2016-04-26 11:04:35 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:04:35 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:04:35 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:04:35 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING 2016-04-26 11:04:35 DEBUG SClient4WPS:872 - WPS STATUS:80.0 2016-04-26 11:04:35 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=80.0, status=RUNNING, endDate=null, message=null, errResource=null] 2016-04-26 11:04:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-26 11:04:45 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-26 11:04:45 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:04:45 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df] 2016-04-26 11:04:45 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 11:04:45 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 11:04:45 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df 2016-04-26 11:04:45 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:04:45 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:04:45 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:04:45 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING 2016-04-26 11:04:45 DEBUG SClient4WPS:872 - WPS STATUS:80.0 2016-04-26 11:04:45 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=80.0, status=RUNNING, endDate=null, message=null, errResource=null] 2016-04-26 11:04:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 11:04:55 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 11:04:55 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:04:55 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df] 2016-04-26 11:04:55 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 11:04:55 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 11:04:55 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df 2016-04-26 11:04:55 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:04:55 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:04:55 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:04:55 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING Process successful ASCII Maps of the environmental layers for checking features aligments ASCII Maps of the environmental layers for checking features aligments 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_____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________ _____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________ _____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________ OutputTable7 Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] id,csquarecode,x,y,z,time,fvalue 1,5918:100:1,-180,-90,0,0,0.0107445 2,5917:209:2,-179.5,-90,0,0,0.0107516 3,5917:209:1,-179,-90,0,0,0.0107539 4,5917:208:2,-178.5,-90,0,0,0.0107516 5,5917:208:1,-178,-90,0,0,0.0107539 6,5917:207:2,-177.5,-90,0,0,0.0107563 7,5917:207:1,-177,-90,0,0,0.010761 8,5917:206:2,-176.5,-90,0,0,0.0107634 9,5917:206:1,-176,-90,0,0,0.0107634 10,5917:205:2,-175.5,-90,0,0,0.0107657 11,5917:205:1,-175,-90,0,0,0.0107657 12,5917:104:2,-174.5,-90,0,0,0.010768 13,5917:104:1,-174,-90,0,0,0.0107704 14,5917:103:2,-173.5,-90,0,0,0.0107704 15,5917:103:1,-173,-90,0,0,0.0107728 16,5917:102:2,-172.5,-90,0,0,0.0107728 17,5917:102:1,-172,-90,0,0,0.0107751 18,5917:101:2,-171.5,-90,0,0,0.0107751 19,5917:101:1,-171,-90,0,0,0.0107751 20,5917:100:2,-170.5,-90,0,0,0.0107775 21,5917:100:1,-170,-90,0,0,0.0107775 22,5916:209:2,-169.5,-90,0,0,0.0107798 23,5916:209:1,-169,-90,0,0,0.0107798 24,5916:208:2,-168.5,-90,0,0,0.0107798 25,5916:208:1,-168,-90,0,0,0.0107822 26,5916:207:2,-167.5,-90,0,0,0.0107822 27,5916:207:1,-167,-90,0,0,0.0107845 28,5916:206:2,-166.5,-90,0,0,0.0107845 29,5916:206:1,-166,-90,0,0,0.0107822 30,5916:205:2,-165.5,-90,0,0,0.0107822 31,5916:205:1,-165,-90,0,0,0.0107822 32,5916:104:2,-164.5,-90,0,0,0.0107822 33,5916:104:1,-164,-90,0,0,0.0107822 34,5916:103:2,-163.5,-90,0,0,0.0107822 35,5916:103:1,-163,-90,0,0,0.0107845 36,5916:102:2,-162.5,-90,0,0,0.0107845 37,5916:102:1,-162,-90,0,0,0.0107845 38,5916:101:2,-161.5,-90,0,0,0.0107845 39,5916:101:1,-161,-90,0,0,0.0107869 40,5916:100:2,-160.5,-90,0,0,0.0107892 41,5916:100:1,-160,-90,0,0,0.0107916 42,5915:209:2,-159.5,-90,0,0,0.010794 43,5915:209:1,-159,-90,0,0,0.010794 44,5915:208:2,-158.5,-90,0,0,0.0107963 45,5915:208:1,-158,-90,0,0,0.0107987 46,5915:207:2,-157.5,-90,0,0,0.0107987 47,5915:207:1,-157,-90,0,0,0.0107963 48,5915:206:2,-156.5,-90,0,0,0.0107963 49,5915:206:1,-156,-90,0,0,0.0107987 50,5915:205:2,-155.5,-90,0,0,0.0108011 51,5915:205:1,-155,-90,0,0,0.0108011 52,5915:104:2,-154.5,-90,0,0,0.0107963 53,5915:104:1,-154,-90,0,0,0.0107963 54,5915:103:2,-153.5,-90,0,0,0.0107987 55,5915:103:1,-153,-90,0,0,0.0108011 56,5915:102:2,-152.5,-90,0,0,0.0108011 57,5915:102:1,-152,-90,0,0,0.0107987 58,5915:101:2,-151.5,-90,0,0,0.010794 59,5915:101:1,-151,-90,0,0,0.010794 60,5915:100:2,-150.5,-90,0,0,0.010794 61,5915:100:1,-150,-90,0,0,0.010794 62,5914:209:2,-149.5,-90,0,0,0.010794 63,5914:209:1,-149,-90,0,0,0.0107916 64,5914:208:2,-148.5,-90,0,0,0.0107916 65,5914:208:1,-148,-90,0,0,0.0107916 66,5914:207:2,-147.5,-90,0,0,0.0107916 67,5914:207:1,-147,-90,0,0,0.0107892 68,5914:206:2,-146.5,-90,0,0,0.0107892 69,5914:206:1,-146,-90,0,0,0.0107869 70,5914:205:2,-145.5,-90,0,0,0.0107869 71,5914:205:1,-145,-90,0,0,0.0107869 72,5914:104:2,-144.5,-90,0,0,0.0107845 73,5914:104:1,-144,-90,0,0,0.0107845 74,5914:103:2,-143.5,-90,0,0,0.0107845 75,5914:103:1,-143,-90,0,0,0.0107869 76,5914:102:2,-142.5,-90,0,0,0.0107869 77,5914:102:1,-142,-90,0,0,0.0107845 78,5914:101:2,-141.5,-90,0,0,0.0107822 79,5914:101:1,-141,-90,0,0,0.0107845 80,5914:100:2,-140.5,-90,0,0,0.0107845 81,5914:100:1,-140,-90,0,0,0.0107869 82,5913:209:2,-139.5,-90,0,0,0.0107869 83,5913:209:1,-139,-90,0,0,0.0107869 84,5913:208:2,-138.5,-90,0,0,0.0107869 85,5913:208:1,-138,-90,0,0,0.0107892 86,5913:207:2,-137.5,-90,0,0,0.0108011 87,5913:207:1,-137,-90,0,0,0.0108365 88,5913:206:2,-136.5,-90,0,0,0.0108911 89,5913:206:1,-136,-90,0,0,0.011018 90,5913:205:2,-135.5,-90,0,0,0.0114874 91,5913:205:1,-135,-90,0,0,0.0116389 92,5913:104:2,-134.5,-90,0,0,0.0116161 93,5913:104:1,-134,-90,0,0,0.0117282 94,5911:100:1,-110,-90,0,0,0.013678 95,5910:209:2,-109.5,-90,0,0,0.0146717 96,5910:209:1,-109,-90,0,0,0.0155562 97,5910:208:2,-108.5,-90,0,0,0.015455 98,5910:206:1,-106,-90,0,0,0.0110517 99,5910:205:2,-105.5,-90,0,0,0.0109197 100,5910:205:1,-105,-90,0,0,0.0108721 101,5910:104:2,-104.5,-90,0,0,0.0109078 102,5910:104:1,-104,-90,0,0,0.0113677 103,5910:103:2,-103.5,-90,0,0,0.012233 104,5910:103:1,-103,-90,0,0,0.0128372 105,5910:102:2,-102.5,-90,0,0,0.0129807 106,5906:101:2,-61.5,-90,0,0,0.0108768 107,5906:101:1,-61,-90,0,0,0.0108626 108,5906:100:2,-60.5,-90,0,0,0.010827 109,5906:100:1,-60,-90,0,0,0.0108011 110,5905:209:2,-59.5,-90,0,0,0.0107798 111,5905:209:1,-59,-90,0,0,0.0107539 112,5905:208:2,-58.5,-90,0,0,0.0107351 113,5905:208:1,-58,-90,0,0,0.0107305 114,5905:207:2,-57.5,-90,0,0,0.0107281 115,5905:207:1,-57,-90,0,0,0.0107257 116,5905:206:2,-56.5,-90,0,0,0.0107234 117,5905:206:1,-56,-90,0,0,0.0107234 118,5905:205:2,-55.5,-90,0,0,0.0107234 119,5905:205:1,-55,-90,0,0,0.0107257 120,5905:104:2,-54.5,-90,0,0,0.0107257 121,5905:104:1,-54,-90,0,0,0.0107257 122,5905:103:2,-53.5,-90,0,0,0.0107257 123,5905:103:1,-53,-90,0,0,0.0107281 124,5905:102:2,-52.5,-90,0,0,0.0107305 125,5905:102:1,-52,-90,0,0,0.0107328 126,5905:101:2,-51.5,-90,0,0,0.0107328 127,5905:101:1,-51,-90,0,0,0.0107351 128,5905:100:2,-50.5,-90,0,0,0.0107351 129,5905:100:1,-50,-90,0,0,0.0107351 130,5904:209:2,-49.5,-90,0,0,0.0107351 131,5904:209:1,-49,-90,0,0,0.0107351 132,5904:208:2,-48.5,-90,0,0,0.0107328 133,5904:208:1,-48,-90,0,0,0.0107305 134,5904:207:2,-47.5,-90,0,0,0.0107305 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1811,5805:363:1,-53,-86,0,0,0.0107281 1812,5805:362:2,-52.5,-86,0,0,0.0107305 1813,5805:362:1,-52,-86,0,0,0.0107328 1814,5805:361:2,-51.5,-86,0,0,0.0107328 1815,5805:361:1,-51,-86,0,0,0.0107351 1816,5805:360:2,-50.5,-86,0,0,0.0107351 1817,5805:360:1,-50,-86,0,0,0.0107351 1818,5804:469:2,-49.5,-86,0,0,0.0107351 1819,5804:469:1,-49,-86,0,0,0.0107351 1820,5804:468:2,-48.5,-86,0,0,0.0107328 1821,5804:468:1,-48,-86,0,0,0.0107305 1822,5804:467:2,-47.5,-86,0,0,0.0107305 1823,5804:467:1,-47,-86,0,0,0.0107375 1824,5804:466:2,-46.5,-86,0,0,0.0107422 1825,5804:466:1,-46,-86,0,0,0.0107469 1826,5804:465:2,-45.5,-86,0,0,0.0107516 1827,5804:465:1,-45,-86,0,0,0.0107563 1828,5804:364:2,-44.5,-86,0,0,0.0107539 1829,5804:364:1,-44,-86,0,0,0.0107539 1830,5804:363:2,-43.5,-86,0,0,0.0107539 1831,5804:363:1,-43,-86,0,0,0.0107539 1832,5804:362:2,-42.5,-86,0,0,0.0107516 1833,5804:362:1,-42,-86,0,0,0.0107516 1834,5804:361:2,-41.5,-86,0,0,0.0107539 1835,5804:361:1,-41,-86,0,0,0.0107539 1836,5804:360:2,-40.5,-86,0,0,0.0107563 1837,5804:360:1,-40,-86,0,0,0.0107586 1838,5803:469:2,-39.5,-86,0,0,0.0107586 1839,5803:469:1,-39,-86,0,0,0.0107586 1840,5803:468:2,-38.5,-86,0,0,0.0107586 1841,5803:468:1,-38,-86,0,0,0.0107586 1842,5803:467:2,-37.5,-86,0,0,0.010761 1843,5803:467:1,-37,-86,0,0,0.0107586 1844,5803:466:2,-36.5,-86,0,0,0.0107586 1845,5803:466:1,-36,-86,0,0,0.0107586 1846,5803:465:2,-35.5,-86,0,0,0.0107586 1847,5803:465:1,-35,-86,0,0,0.010761 1848,5803:364:2,-34.5,-86,0,0,0.010761 1849,5803:364:1,-34,-86,0,0,0.0107586 1850,5803:363:2,-33.5,-86,0,0,0.0107586 1851,5803:363:1,-33,-86,0,0,0.0107586 1852,5803:362:2,-32.5,-86,0,0,0.010761 1853,5803:362:1,-32,-86,0,0,0.010761 1854,5803:361:2,-31.5,-86,0,0,0.010761 1855,5803:361:1,-31,-86,0,0,0.0107634 1856,5803:360:2,-30.5,-86,0,0,0.010761 1857,5803:360:1,-30,-86,0,0,0.0107634 1858,5802:469:2,-29.5,-86,0,0,0.0107657 1859,5802:469:1,-29,-86,0,0,0.0107634 1860,5802:468:2,-28.5,-86,0,0,0.010761 1861,5802:468:1,-28,-86,0,0,0.0107586 1862,5802:467:2,-27.5,-86,0,0,0.0107563 1863,5802:467:1,-27,-86,0,0,0.0107539 1864,5802:466:2,-26.5,-86,0,0,0.0108959 1865,5802:466:1,-26,-86,0,0,0.0111196 1866,5802:465:2,-25.5,-86,0,0,0.0110421 1867,5802:465:1,-25,-86,0,0,0.0109699 1868,5802:364:2,-24.5,-86,0,0,0.0114374 1869,5802:364:1,-24,-86,0,0,0.0120922 1870,3816:465:2,165.5,-86,0,0,0.010865 1871,3816:466:1,166,-86,0,0,0.0108294 1872,3816:466:2,166.5,-86,0,0,0.0107845 1873,3816:467:1,167,-86,0,0,0.010768 1874,3816:467:2,167.5,-86,0,0,0.0107563 1875,3816:468:1,168,-86,0,0,0.0107422 1876,3816:468:2,168.5,-86,0,0,0.0107257 1877,3816:469:1,169,-86,0,0,0.010714 1878,3816:469:2,169.5,-86,0,0,0.0107094 1879,3817:360:1,170,-86,0,0,0.0107117 1880,3817:360:2,170.5,-86,0,0,0.0107117 1881,3817:361:1,171,-86,0,0,0.010707 1882,3817:361:2,171.5,-86,0,0,0.0111976 1883,3817:362:1,172,-86,0,0,0.0127562 1884,3817:362:2,172.5,-86,0,0,0.0145699 1885,3817:363:1,173,-86,0,0,0.0154752 1886,3817:363:2,173.5,-86,0,0,0.0154517 1887,3817:364:1,174,-86,0,0,0.0153679 1888,3817:364:2,174.5,-86,0,0,0.0153144 1889,3817:465:1,175,-86,0,0,0.0152945 1890,3817:465:2,175.5,-86,0,0,0.0152082 1891,3817:466:1,176,-86,0,0,0.0148679 1892,3817:466:2,176.5,-86,0,0,0.0124023 1893,3817:467:1,177,-86,0,0,0.0108413 1894,3817:467:2,177.5,-86,0,0,0.010707 1895,3817:468:1,178,-86,0,0,0.0107094 1896,3817:468:2,178.5,-86,0,0,0.0107211 1897,3817:469:1,179,-86,0,0,0.0107305 1898,3817:469:2,179.5,-86,0,0,0.0107375 1899,3818:360:1,180,-86,0,0,0.0107445 1900,5818:350:3,-180,-85.5,0,0,0.0107445 1901,5817:459:4,-179.5,-85.5,0,0,0.0107516 1902,5817:459:3,-179,-85.5,0,0,0.0107539 1903,5817:458:4,-178.5,-85.5,0,0,0.0107516 1904,5817:458:3,-178,-85.5,0,0,0.0107539 1905,5817:457:4,-177.5,-85.5,0,0,0.0107563 1906,5817:457:3,-177,-85.5,0,0,0.010761 1907,5817:456:4,-176.5,-85.5,0,0,0.0107634 1908,5817:456:3,-176,-85.5,0,0,0.0107634 1909,5817:455:4,-175.5,-85.5,0,0,0.0107657 1910,5817:455:3,-175,-85.5,0,0,0.0107657 1911,5817:354:4,-174.5,-85.5,0,0,0.010768 1912,5817:354:3,-174,-85.5,0,0,0.0107704 1913,5817:353:4,-173.5,-85.5,0,0,0.0107704 1914,5817:353:3,-173,-85.5,0,0,0.0107728 1915,5817:352:4,-172.5,-85.5,0,0,0.0107728 1916,5817:352:3,-172,-85.5,0,0,0.0107751 1917,5817:351:4,-171.5,-85.5,0,0,0.0107751 1918,5817:351:3,-171,-85.5,0,0,0.0107751 1919,5817:350:4,-170.5,-85.5,0,0,0.0107775 1920,5817:350:3,-170,-85.5,0,0,0.0107775 1921,5816:459:4,-169.5,-85.5,0,0,0.0107798 1922,5816:459:3,-169,-85.5,0,0,0.0107798 1923,5816:458:4,-168.5,-85.5,0,0,0.0107798 1924,5816:458:3,-168,-85.5,0,0,0.0107822 1925,5816:457:4,-167.5,-85.5,0,0,0.0107822 1926,5816:457:3,-167,-85.5,0,0,0.0107845 1927,5816:456:4,-166.5,-85.5,0,0,0.0107845 1928,5816:456:3,-166,-85.5,0,0,0.0107822 1929,5816:455:4,-165.5,-85.5,0,0,0.0107822 1930,5816:455:3,-165,-85.5,0,0,0.0107822 1931,5816:354:4,-164.5,-85.5,0,0,0.0107822 1932,5816:354:3,-164,-85.5,0,0,0.0107822 1933,5816:353:4,-163.5,-85.5,0,0,0.0107822 1934,5816:353:3,-163,-85.5,0,0,0.0107845 1935,5816:352:4,-162.5,-85.5,0,0,0.0107845 1936,5816:352:3,-162,-85.5,0,0,0.0107845 1937,5816:351:4,-161.5,-85.5,0,0,0.0107845 1938,5816:351:3,-161,-85.5,0,0,0.0107869 1939,5816:350:4,-160.5,-85.5,0,0,0.0107892 1940,5816:350:3,-160,-85.5,0,0,0.0107916 1941,5815:459:4,-159.5,-85.5,0,0,0.010794 1942,5815:459:3,-159,-85.5,0,0,0.010794 1943,5815:458:4,-158.5,-85.5,0,0,0.0107963 1944,5815:458:3,-158,-85.5,0,0,0.0107987 1945,5815:457:4,-157.5,-85.5,0,0,0.0107987 1946,5815:457:3,-157,-85.5,0,0,0.0107963 1947,5815:456:4,-156.5,-85.5,0,0,0.0107963 1948,5815:456:3,-156,-85.5,0,0,0.0107987 1949,5815:455:4,-155.5,-85.5,0,0,0.0108011 1950,5815:455:3,-155,-85.5,0,0,0.0108011 1951,5815:354:4,-154.5,-85.5,0,0,0.0107963 1952,5815:354:3,-154,-85.5,0,0,0.0107963 1953,5815:353:4,-153.5,-85.5,0,0,0.0107987 1954,5815:353:3,-153,-85.5,0,0,0.0108011 1955,5815:352:4,-152.5,-85.5,0,0,0.0108011 1956,5815:352:3,-152,-85.5,0,0,0.0107987 1957,5815:351:4,-151.5,-85.5,0,0,0.010794 1958,5815:351:3,-151,-85.5,0,0,0.010794 1959,5815:350:4,-150.5,-85.5,0,0,0.010794 1960,5815:350:3,-150,-85.5,0,0,0.010794 1961,5814:459:4,-149.5,-85.5,0,0,0.010794 1962,5814:459:3,-149,-85.5,0,0,0.0107916 1963,5814:458:4,-148.5,-85.5,0,0,0.0107916 1964,5814:458:3,-148,-85.5,0,0,0.0107916 1965,5814:457:4,-147.5,-85.5,0,0,0.0107916 1966,5814:457:3,-147,-85.5,0,0,0.0107892 1967,5814:456:4,-146.5,-85.5,0,0,0.0107892 1968,5814:456:3,-146,-85.5,0,0,0.0107869 1969,5814:455:4,-145.5,-85.5,0,0,0.0107869 1970,5814:455:3,-145,-85.5,0,0,0.0107869 1971,5814:354:4,-144.5,-85.5,0,0,0.0107845 1972,5814:354:3,-144,-85.5,0,0,0.0107845 1973,5814:353:4,-143.5,-85.5,0,0,0.0107845 1974,5814:353:3,-143,-85.5,0,0,0.0107869 1975,5814:352:4,-142.5,-85.5,0,0,0.0107869 1976,5814:352:3,-142,-85.5,0,0,0.0107845 1977,5814:351:4,-141.5,-85.5,0,0,0.0107822 1978,5814:351:3,-141,-85.5,0,0,0.0107845 1979,5814:350:4,-140.5,-85.5,0,0,0.0107845 1980,5814:350:3,-140,-85.5,0,0,0.0107869 1981,5813:459:4,-139.5,-85.5,0,0,0.0107869 1982,5813:459:3,-139,-85.5,0,0,0.0107869 1983,5813:458:4,-138.5,-85.5,0,0,0.0107869 1984,5813:458:3,-138,-85.5,0,0,0.0107892 1985,5813:457:4,-137.5,-85.5,0,0,0.0108011 1986,5813:457:3,-137,-85.5,0,0,0.0108365 1987,5813:456:4,-136.5,-85.5,0,0,0.0108911 1988,5813:456:3,-136,-85.5,0,0,0.011018 1989,5813:455:4,-135.5,-85.5,0,0,0.0114874 1990,5813:455:3,-135,-85.5,0,0,0.0116389 1991,5813:354:4,-134.5,-85.5,0,0,0.0116161 1992,5813:354:3,-134,-85.5,0,0,0.0117282 1993,5811:350:3,-110,-85.5,0,0,0.013678 1994,5810:459:4,-109.5,-85.5,0,0,0.0146717 1995,5810:459:3,-109,-85.5,0,0,0.0155562 1996,5810:458:4,-108.5,-85.5,0,0,0.015455 1997,5810:456:3,-106,-85.5,0,0,0.0110517 1998,5810:455:4,-105.5,-85.5,0,0,0.0109197 1999,5810:455:3,-105,-85.5,0,0,0.0108721 2000,5810:354:4,-104.5,-85.5,0,0,0.0109078 2001,5810:354:3,-104,-85.5,0,0,0.0113677 2002,5810:353:4,-103.5,-85.5,0,0,0.012233 2003,5810:353:3,-103,-85.5,0,0,0.0128372 2004,5810:352:4,-102.5,-85.5,0,0,0.0129807 2005,5806:351:4,-61.5,-85.5,0,0,0.0108768 2006,5806:351:3,-61,-85.5,0,0,0.0108626 2007,5806:350:4,-60.5,-85.5,0,0,0.010827 2008,5806:350:3,-60,-85.5,0,0,0.0108011 2009,5805:459:4,-59.5,-85.5,0,0,0.0107798 2010,5805:459:3,-59,-85.5,0,0,0.0107539 2011,5805:458:4,-58.5,-85.5,0,0,0.0107351 2012,5805:458:3,-58,-85.5,0,0,0.0107305 2013,5805:457:4,-57.5,-85.5,0,0,0.0107281 2014,5805:457:3,-57,-85.5,0,0,0.0107257 2015,5805:456:4,-56.5,-85.5,0,0,0.0107234 2016,5805:456:3,-56,-85.5,0,0,0.0107234 2017,5805:455:4,-55.5,-85.5,0,0,0.0107234 2018,5805:455:3,-55,-85.5,0,0,0.0107257 2019,5805:354:4,-54.5,-85.5,0,0,0.0107257 2020,5805:354:3,-54,-85.5,0,0,0.0107257 2021,5805:353:4,-53.5,-85.5,0,0,0.0107257 2022,5805:353:3,-53,-85.5,0,0,0.0107281 2023,5805:352:4,-52.5,-85.5,0,0,0.0107305 2024,5805:352:3,-52,-85.5,0,0,0.0107328 2025,5805:351:4,-51.5,-85.5,0,0,0.0107328 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31866,5507:114:1,-74,-51,0,0,0.0360028 31867,5507:113:2,-73.5,-51,0,0,0.0348924 31868,5507:113:1,-73,-51,0,0,0.0340977 31869,5507:112:2,-72.5,-51,0,0,0.0343605 31870,5507:112:1,-72,-51,0,0,0.0345444 31871,5507:111:2,-71.5,-51,0,0,0.0335992 31872,5507:111:1,-71,-51,0,0,0.0335419 31873,5507:110:2,-70.5,-51,0,0,0.0329311 31874,5507:110:1,-70,-51,0,0,0.0316745 31875,5506:219:2,-69.5,-51,0,0,0.0297226 31876,5506:219:1,-69,-51,0,0,0.0269913 31877,5506:218:2,-68.5,-51,0,0,0.0252768 31878,5506:218:1,-68,-51,0,0,0.0239613 31879,5506:217:2,-67.5,-51,0,0,0.0234449 31880,5506:217:1,-67,-51,0,0,0.0231632 31881,5506:216:2,-66.5,-51,0,0,0.0220504 31882,5506:216:1,-66,-51,0,0,0.0216444 31883,5506:215:2,-65.5,-51,0,0,0.0214488 31884,5506:215:1,-65,-51,0,0,0.0211677 31885,5506:114:2,-64.5,-51,0,0,0.0205629 31886,5506:114:1,-64,-51,0,0,0.0200357 31887,5506:113:2,-63.5,-51,0,0,0.020175 31888,5506:113:1,-63,-51,0,0,0.0209855 31889,5506:112:2,-62.5,-51,0,0,0.0201009 31890,5506:112:1,-62,-51,0,0,0.0191158 31891,5506:111:2,-61.5,-51,0,0,0.0186007 31892,5506:111:1,-61,-51,0,0,0.0186209 31893,5506:110:2,-60.5,-51,0,0,0.0199059 31894,5506:110:1,-60,-51,0,0,0.0215185 31895,5505:219:2,-59.5,-51,0,0,0.0214256 31896,5505:219:1,-59,-51,0,0,0.0202538 31897,5505:218:2,-58.5,-51,0,0,0.0197428 31898,5505:218:1,-58,-51,0,0,0.0190371 31899,5505:217:2,-57.5,-51,0,0,0.0185603 31900,5505:217:1,-57,-51,0,0,0.0179739 31901,5505:216:2,-56.5,-51,0,0,0.0162334 31902,5505:216:1,-56,-51,0,0,0.014936 31903,5505:215:2,-55.5,-51,0,0,0.0154449 31904,5505:215:1,-55,-51,0,0,0.0157536 31905,5505:114:2,-54.5,-51,0,0,0.0156682 31906,5505:114:1,-54,-51,0,0,0.0158189 31907,5505:113:2,-53.5,-51,0,0,0.0157024 31908,5505:113:1,-53,-51,0,0,0.0156512 31909,5505:112:2,-52.5,-51,0,0,0.0148873 31910,5505:112:1,-52,-51,0,0,0.0139489 31911,5505:111:2,-51.5,-51,0,0,0.0125575 31912,5505:111:1,-51,-51,0,0,0.0121213 31913,5505:110:2,-50.5,-51,0,0,0.0123294 31914,5505:110:1,-50,-51,0,0,0.0121055 31915,5504:219:2,-49.5,-51,0,0,0.0118621 31916,5504:219:1,-49,-51,0,0,0.0122623 31917,5504:218:2,-48.5,-51,0,0,0.0126952 31918,5504:218:1,-48,-51,0,0,0.0129667 31919,5504:217:2,-47.5,-51,0,0,0.0125383 31920,5504:217:1,-47,-51,0,0,0.0156308 31921,5504:216:2,-46.5,-51,0,0,0.0178535 31922,5504:216:1,-46,-51,0,0,0.0183443 31923,5504:215:2,-45.5,-51,0,0,0.0180678 31924,5504:215:1,-45,-51,0,0,0.0169323 31925,5504:114:2,-44.5,-51,0,0,0.0148453 31926,5504:114:1,-44,-51,0,0,0.0126234 31927,5504:113:2,-43.5,-51,0,0,0.0126897 31928,5504:113:1,-43,-51,0,0,0.0139763 31929,5504:112:2,-42.5,-51,0,0,0.014225 31930,5504:112:1,-42,-51,0,0,0.0143276 31931,5504:111:2,-41.5,-51,0,0,0.0145287 31932,5504:111:1,-41,-51,0,0,0.0142871 31933,5504:110:2,-40.5,-51,0,0,0.0136839 31934,5504:110:1,-40,-51,0,0,0.0132322 31935,5503:219:2,-39.5,-51,0,0,0.0131145 31936,5503:219:1,-39,-51,0,0,0.013681 31937,5503:218:2,-38.5,-51,0,0,0.0148613 31938,5503:218:1,-38,-51,0,0,0.0150044 31939,5503:217:2,-37.5,-51,0,0,0.0148646 31940,5503:217:1,-37,-51,0,0,0.0141447 31941,5503:216:2,-36.5,-51,0,0,0.0135268 31942,5503:216:1,-36,-51,0,0,0.012734 31943,5503:215:2,-35.5,-51,0,0,0.0131374 31944,5503:215:1,-35,-51,0,0,0.0140986 31945,5503:114:2,-34.5,-51,0,0,0.0144153 31946,5503:114:1,-34,-51,0,0,0.0142313 31947,5503:113:2,-33.5,-51,0,0,0.0141972 31948,5503:113:1,-33,-51,0,0,0.014074 31949,5503:112:2,-32.5,-51,0,0,0.0135062 31950,5503:112:1,-32,-51,0,0,0.0130318 31951,5503:111:2,-31.5,-51,0,0,0.0130888 31952,5503:111:1,-31,-51,0,0,0.0130545 31953,5503:110:2,-30.5,-51,0,0,0.0126786 31954,5503:110:1,-30,-51,0,0,0.0125602 31955,5502:219:2,-29.5,-51,0,0,0.0127813 31956,5502:219:1,-29,-51,0,0,0.0127813 31957,5502:218:2,-28.5,-51,0,0,0.0122249 31958,5502:218:1,-28,-51,0,0,0.0117641 31959,5502:217:2,-27.5,-51,0,0,0.011759 31960,5502:217:1,-27,-51,0,0,0.0116797 31961,5502:216:2,-26.5,-51,0,0,0.0117693 31962,5502:216:1,-26,-51,0,0,0.011695 31963,5502:215:2,-25.5,-51,0,0,0.0116161 31964,5502:215:1,-25,-51,0,0,0.0119531 31965,5502:114:2,-24.5,-51,0,0,0.0136452 31966,5502:114:1,-24,-51,0,0,0.0155867 31967,5502:113:2,-23.5,-51,0,0,0.0164001 31968,5502:113:1,-23,-51,0,0,0.0162017 31969,5502:112:2,-22.5,-51,0,0,0.0160092 31970,5502:112:1,-22,-51,0,0,0.0158878 31971,5502:111:2,-21.5,-51,0,0,0.0155867 31972,5502:111:1,-21,-51,0,0,0.014643 31973,5502:110:2,-20.5,-51,0,0,0.0132496 31974,5502:110:1,-20,-51,0,0,0.0131891 31975,5501:219:2,-19.5,-51,0,0,0.0135121 31976,5501:219:1,-19,-51,0,0,0.0135711 31977,5501:218:2,-18.5,-51,0,0,0.0135121 31978,5501:218:1,-18,-51,0,0,0.0134152 31979,5501:217:2,-17.5,-51,0,0,0.0131231 31980,5501:217:1,-17,-51,0,0,0.0126261 31981,5501:216:2,-16.5,-51,0,0,0.0122436 31982,5501:216:1,-16,-51,0,0,0.0119897 31983,5501:215:2,-15.5,-51,0,0,0.0118985 31984,5501:215:1,-15,-51,0,0,0.0119427 31985,5501:114:2,-14.5,-51,0,0,0.0119845 31986,5501:114:1,-14,-51,0,0,0.0120343 31987,5501:113:2,-13.5,-51,0,0,0.0122516 31988,5501:113:1,-13,-51,0,0,0.012386 31989,5501:112:2,-12.5,-51,0,0,0.012541 31990,5501:112:1,-12,-51,0,0,0.0126261 31991,5501:111:2,-11.5,-51,0,0,0.0126151 31992,5501:111:1,-11,-51,0,0,0.0124782 31993,5501:110:2,-10.5,-51,0,0,0.0122462 31994,5501:110:1,-10,-51,0,0,0.0120343 31995,5500:219:2,-9.5,-51,0,0,0.0120949 31996,5500:219:1,-9,-51,0,0,0.012233 31997,5500:218:2,-8.5,-51,0,0,0.0123294 31998,5500:218:1,-8,-51,0,0,0.0123942 31999,5500:217:2,-7.5,-51,0,0,0.0122972 32000,5500:217:1,-7,-51,0,0,0.0123429 32001,5500:216:2,-6.5,-51,0,0,0.0124239 32002,5500:216:1,-6,-51,0,0,0.0116288 32003,5500:215:2,-5.5,-51,0,0,0.0114323 32004,5500:215:1,-5,-51,0,0,0.0114574 32005,5500:114:2,-4.5,-51,0,0,0.0111366 32006,5500:114:1,-4,-51,0,0,0.0109603 32007,5500:113:2,-3.5,-51,0,0,0.0109221 32008,5500:113:1,-3,-51,0,0,0.0109126 32009,5500:112:2,-2.5,-51,0,0,0.0108982 32010,5500:112:1,-2,-51,0,0,0.0108887 32011,5500:111:2,-1.5,-51,0,0,0.0108246 32012,5500:111:1,-1,-51,0,0,0.0107916 32013,5500:110:2,-0.5,-51,0,0,0.0107469 32014,3500:110:2,0,-51,0,0,0.010714 32015,3500:110:2,0.5,-51,0,0,0.0107024 32016,3500:111:1,1,-51,0,0,0.0106907 32017,3500:111:2,1.5,-51,0,0,0.0106977 32018,3500:112:1,2,-51,0,0,0.0107211 32019,3500:112:2,2.5,-51,0,0,0.0108483 32020,3500:113:1,3,-51,0,0,0.0109316 32021,3500:113:2,3.5,-51,0,0,0.0109652 32022,3500:114:1,4,-51,0,0,0.0109627 32023,3500:114:2,4.5,-51,0,0,0.0109484 32024,3500:215:1,5,-51,0,0,0.0109197 32025,3500:215:2,5.5,-51,0,0,0.0108816 32026,3500:216:1,6,-51,0,0,0.0108246 32027,3500:216:2,6.5,-51,0,0,0.010768 32028,3500:217:1,7,-51,0,0,0.0107351 32029,3500:217:2,7.5,-51,0,0,0.0107328 32030,3500:218:1,8,-51,0,0,0.0107492 32031,3500:218:2,8.5,-51,0,0,0.0107751 32032,3500:219:1,9,-51,0,0,0.0107751 32033,3500:219:2,9.5,-51,0,0,0.0107257 32034,3501:110:1,10,-51,0,0,0.0106977 32035,3501:110:2,10.5,-51,0,0,0.010686 32036,3501:111:1,11,-51,0,0,0.0106813 32037,3501:111:2,11.5,-51,0,0,0.010686 32038,3501:112:1,12,-51,0,0,0.0106883 32039,3501:112:2,12.5,-51,0,0,0.0106953 32040,3501:113:1,13,-51,0,0,0.0107 32041,3501:113:2,13.5,-51,0,0,0.010707 32042,3501:114:1,14,-51,0,0,0.010714 32043,3501:114:2,14.5,-51,0,0,0.0107117 32044,3501:215:1,15,-51,0,0,0.0107047 32045,3501:215:2,15.5,-51,0,0,0.0107024 32046,3501:216:1,16,-51,0,0,0.0107024 32047,3501:216:2,16.5,-51,0,0,0.0107024 32048,3501:217:1,17,-51,0,0,0.0106953 32049,3501:217:2,17.5,-51,0,0,0.010693 32050,3501:218:1,18,-51,0,0,0.0106907 32051,3501:218:2,18.5,-51,0,0,0.0106907 32052,3501:219:1,19,-51,0,0,0.0106883 32053,3501:219:2,19.5,-51,0,0,0.010686 32054,3502:110:1,20,-51,0,0,0.010679 32055,3502:110:2,20.5,-51,0,0,0.0107211 32056,3502:111:1,21,-51,0,0,0.0107422 32057,3502:111:2,21.5,-51,0,0,0.0107375 32058,3502:112:1,22,-51,0,0,0.0107234 32059,3502:112:2,22.5,-51,0,0,0.0107211 32060,3502:113:1,23,-51,0,0,0.0106953 32061,3502:113:2,23.5,-51,0,0,0.010693 32062,3502:114:1,24,-51,0,0,0.0107 32063,3502:114:2,24.5,-51,0,0,0.0107328 32064,3502:215:1,25,-51,0,0,0.0107375 32065,3502:215:2,25.5,-51,0,0,0.0107728 32066,3502:216:1,26,-51,0,0,0.0107822 32067,3502:216:2,26.5,-51,0,0,0.0108199 32068,3502:217:1,27,-51,0,0,0.0107916 32069,3502:217:2,27.5,-51,0,0,0.0107657 32070,3502:218:1,28,-51,0,0,0.0107257 32071,3502:218:2,28.5,-51,0,0,0.0107728 32072,3502:219:1,29,-51,0,0,0.0107539 32073,3502:219:2,29.5,-51,0,0,0.0107516 32074,3503:110:1,30,-51,0,0,0.0107586 32075,3503:110:2,30.5,-51,0,0,0.0107987 32076,3503:111:1,31,-51,0,0,0.0108246 32077,3503:111:2,31.5,-51,0,0,0.0108105 32078,3503:112:1,32,-51,0,0,0.010768 32079,3503:112:2,32.5,-51,0,0,0.0107728 32080,3503:113:1,33,-51,0,0,0.0108152 32081,3503:113:2,33.5,-51,0,0,0.0109699 32082,3503:114:1,34,-51,0,0,0.0111976 32083,3503:114:2,34.5,-51,0,0,0.0114724 32084,3503:215:1,35,-51,0,0,0.011857 32085,3503:215:2,35.5,-51,0,0,0.0119245 32086,3503:216:1,36,-51,0,0,0.0115629 32087,3503:216:2,36.5,-51,0,0,0.0113627 32088,3503:217:1,37,-51,0,0,0.011006 32089,3503:217:2,37.5,-51,0,0,0.0111951 32090,3503:218:1,38,-51,0,0,0.0116669 32091,3503:218:2,38.5,-51,0,0,0.0115908 32092,3503:219:1,39,-51,0,0,0.011328 32093,3503:219:2,39.5,-51,0,0,0.0113107 32094,3504:110:1,40,-51,0,0,0.0114899 32095,3504:110:2,40.5,-51,0,0,0.0116415 32096,3504:111:1,41,-51,0,0,0.0117155 32097,3504:111:2,41.5,-51,0,0,0.0117462 32098,3504:112:1,42,-51,0,0,0.011777 32099,3504:112:2,42.5,-51,0,0,0.0117847 32100,3504:113:1,43,-51,0,0,0.011777 32101,3504:113:2,43.5,-51,0,0,0.0117385 32102,3504:114:1,44,-51,0,0,0.0116364 32103,3504:114:2,44.5,-51,0,0,0.0115025 32104,3504:215:1,45,-51,0,0,0.0114074 32105,3504:215:2,45.5,-51,0,0,0.0114199 32106,3504:216:1,46,-51,0,0,0.0114799 32107,3504:216:2,46.5,-51,0,0,0.0115427 32108,3504:217:1,47,-51,0,0,0.0116975 32109,3504:217:2,47.5,-51,0,0,0.0117027 32110,3504:218:1,48,-51,0,0,0.0115857 32111,3504:218:2,48.5,-51,0,0,0.0114674 32112,3504:219:1,49,-51,0,0,0.0112885 32113,3504:219:2,49.5,-51,0,0,0.0112049 32114,3505:110:1,50,-51,0,0,0.0112885 32115,3505:110:2,50.5,-51,0,0,0.0110348 32116,3505:111:1,51,-51,0,0,0.0110301 32117,3505:111:2,51.5,-51,0,0,0.0112515 32118,3505:112:1,52,-51,0,0,0.0114899 32119,3505:112:2,52.5,-51,0,0,0.0117899 32120,3505:113:1,53,-51,0,0,0.0121187 32121,3505:113:2,53.5,-51,0,0,0.0113602 32122,3505:114:1,54,-51,0,0,0.0110204 32123,3505:114:2,54.5,-51,0,0,0.0111658 32124,3505:215:1,55,-51,0,0,0.0115882 32125,3505:215:2,55.5,-51,0,0,0.0115176 32126,3505:216:1,56,-51,0,0,0.0111634 32127,3505:216:2,56.5,-51,0,0,0.0110397 32128,3505:217:1,57,-51,0,0,0.0109627 32129,3505:217:2,57.5,-51,0,0,0.0111196 32130,3505:218:1,58,-51,0,0,0.0116975 32131,3505:218:2,58.5,-51,0,0,0.0124565 32132,3505:219:1,59,-51,0,0,0.0140832 32133,3505:219:2,59.5,-51,0,0,0.0131173 32134,3506:110:1,60,-51,0,0,0.0120737 32135,3506:110:2,60.5,-51,0,0,0.0121903 32136,3506:111:1,61,-51,0,0,0.0136661 32137,3506:111:2,61.5,-51,0,0,0.0140587 32138,3506:112:1,62,-51,0,0,0.0134592 32139,3506:112:2,62.5,-51,0,0,0.0123752 32140,3506:113:1,63,-51,0,0,0.0118182 32141,3506:113:2,63.5,-51,0,0,0.0119871 32142,3506:114:1,64,-51,0,0,0.0131145 32143,3506:114:2,64.5,-51,0,0,0.0147486 32144,3506:215:1,65,-51,0,0,0.0152248 32145,3506:215:2,65.5,-51,0,0,0.0154517 32146,3506:216:1,66,-51,0,0,0.0154483 32147,3506:216:2,66.5,-51,0,0,0.015106 32148,3506:217:1,67,-51,0,0,0.0145857 32149,3506:217:2,67.5,-51,0,0,0.0144498 32150,3506:218:1,68,-51,0,0,0.0150895 32151,3506:218:2,68.5,-51,0,0,0.0155089 32152,3506:219:1,69,-51,0,0,0.0155021 32153,3506:219:2,69.5,-51,0,0,0.015455 32154,3507:110:1,70,-51,0,0,0.0156784 32155,3507:110:2,70.5,-51,0,0,0.016121 32156,3507:111:1,71,-51,0,0,0.016468 32157,3507:111:2,71.5,-51,0,0,0.0149392 32158,3507:112:1,72,-51,0,0,0.0135889 32159,3507:112:2,72.5,-51,0,0,0.0131833 32160,3507:113:2,73.5,-51,0,0,0.0127506 32161,3507:114:1,74,-51,0,0,0.0125055 32162,3507:114:2,74.5,-51,0,0,0.0123698 32163,3507:215:1,75,-51,0,0,0.012273 32164,3507:215:2,75.5,-51,0,0,0.0122115 32165,3507:216:1,76,-51,0,0,0.0121187 32166,3507:216:2,76.5,-51,0,0,0.0121319 32167,3507:217:1,77,-51,0,0,0.0122516 32168,3507:217:2,77.5,-51,0,0,0.012265 32169,3507:218:1,78,-51,0,0,0.0122089 32170,3507:218:2,78.5,-51,0,0,0.0119505 32171,3507:219:1,79,-51,0,0,0.0116009 32172,3507:219:2,79.5,-51,0,0,0.011505 32173,3508:110:1,80,-51,0,0,0.0114524 32174,3508:110:2,80.5,-51,0,0,0.0114399 32175,3508:111:1,81,-51,0,0,0.0114474 32176,3508:111:2,81.5,-51,0,0,0.0114974 32177,3508:112:1,82,-51,0,0,0.0115226 32178,3508:112:2,82.5,-51,0,0,0.01151 32179,3508:113:1,83,-51,0,0,0.0115025 32180,3508:113:2,83.5,-51,0,0,0.0115277 32181,3508:114:1,84,-51,0,0,0.0115528 32182,3508:114:2,84.5,-51,0,0,0.0114899 32183,3508:215:1,85,-51,0,0,0.0113776 32184,3508:215:2,85.5,-51,0,0,0.0113577 32185,3508:216:1,86,-51,0,0,0.0117334 32186,3508:216:2,86.5,-51,0,0,0.0130148 32187,3508:217:1,87,-51,0,0,0.0155629 32188,3508:217:2,87.5,-51,0,0,0.0181228 32189,3508:218:1,88,-51,0,0,0.0192571 32190,3508:218:2,88.5,-51,0,0,0.0171135 32191,3508:219:1,89,-51,0,0,0.016837 32192,3508:219:2,89.5,-51,0,0,0.0162124 32193,3509:110:1,90,-51,0,0,0.0159501 32194,3509:110:2,90.5,-51,0,0,0.0161666 32195,3509:111:1,91,-51,0,0,0.0163113 32196,3509:111:2,91.5,-51,0,0,0.0165326 32197,3509:112:1,92,-51,0,0,0.0167458 32198,3509:112:2,92.5,-51,0,0,0.0169987 32199,3509:113:1,93,-51,0,0,0.0167895 32200,3509:113:2,93.5,-51,0,0,0.0164073 32201,3509:114:1,94,-51,0,0,0.0164537 32202,3509:114:2,94.5,-51,0,0,0.0165469 32203,3509:215:1,95,-51,0,0,0.0162724 32204,3509:215:2,95.5,-51,0,0,0.0157845 32205,3509:216:1,96,-51,0,0,0.0154651 32206,3509:216:2,96.5,-51,0,0,0.0153378 32207,3509:217:1,97,-51,0,0,0.0153344 32208,3509:217:2,97.5,-51,0,0,0.0154583 32209,3509:218:1,98,-51,0,0,0.0156104 32210,3509:218:2,98.5,-51,0,0,0.0158292 32211,3509:219:1,99,-51,0,0,0.0161912 32212,3509:219:2,99.5,-51,0,0,0.0168151 32213,3510:110:1,100,-51,0,0,0.0171917 32214,3510:110:2,100.5,-51,0,0,0.0171209 32215,3510:111:1,101,-51,0,0,0.0170801 32216,3510:111:2,101.5,-51,0,0,0.0170801 32217,3510:112:1,102,-51,0,0,0.0169765 32218,3510:112:2,102.5,-51,0,0,0.0170838 32219,3510:113:1,103,-51,0,0,0.018476 32220,3510:113:2,103.5,-51,0,0,0.0193449 32221,3510:114:1,104,-51,0,0,0.019303 32222,3510:114:2,104.5,-51,0,0,0.0189794 32223,3510:215:1,105,-51,0,0,0.0188401 32224,3510:215:2,105.5,-51,0,0,0.018779 32225,3510:216:1,106,-51,0,0,0.0185925 32226,3510:216:2,106.5,-51,0,0,0.0182056 32227,3510:217:1,107,-51,0,0,0.0176034 32228,3510:217:2,107.5,-51,0,0,0.0168627 32229,3510:218:1,108,-51,0,0,0.0165937 32230,3510:218:2,108.5,-51,0,0,0.0175044 32231,3510:219:1,109,-51,0,0,0.0187301 32232,3510:219:2,109.5,-51,0,0,0.0193449 32233,3511:110:1,110,-51,0,0,0.0195937 32234,3511:110:2,110.5,-51,0,0,0.0197385 32235,3511:111:1,111,-51,0,0,0.0195091 32236,3511:111:2,111.5,-51,0,0,0.0189015 32237,3511:112:1,112,-51,0,0,0.0183085 32238,3511:112:2,112.5,-51,0,0,0.0187667 32239,3511:113:1,113,-51,0,0,0.0215791 32240,3511:113:2,113.5,-51,0,0,0.0230338 32241,3511:114:1,114,-51,0,0,0.0229741 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41838,5410:249:1,-109,-44,0,0,0.0652659 41839,5410:248:2,-108.5,-44,0,0,0.0658209 41840,5410:248:1,-108,-44,0,0,0.066066 41841,5410:247:2,-107.5,-44,0,0,0.064997 41842,5410:247:1,-107,-44,0,0,0.0633254 41843,5410:246:2,-106.5,-44,0,0,0.0624919 41844,5410:246:1,-106,-44,0,0,0.0631162 41845,5410:245:2,-105.5,-44,0,0,0.0645819 41846,5410:245:1,-105,-44,0,0,0.0650372 41847,5410:144:2,-104.5,-44,0,0,0.064037 41848,5410:144:1,-104,-44,0,0,0.0620019 41849,5410:143:2,-103.5,-44,0,0,0.0604778 41850,5410:143:1,-103,-44,0,0,0.0610833 41851,5410:142:2,-102.5,-44,0,0,0.0625698 41852,5410:142:1,-102,-44,0,0,0.0632339 41853,5410:141:2,-101.5,-44,0,0,0.0620663 41854,5410:141:1,-101,-44,0,0,0.0600772 41855,5410:140:2,-100.5,-44,0,0,0.0592961 41856,5410:140:1,-100,-44,0,0,0.0613118 41857,5409:249:2,-99.5,-44,0,0,0.0632863 41858,5409:249:1,-99,-44,0,0,0.062518 41859,5409:248:2,-98.5,-44,0,0,0.061299 41860,5409:248:1,-98,-44,0,0,0.0604526 41861,5409:247:2,-97.5,-44,0,0,0.0598283 41862,5409:247:1,-97,-44,0,0,0.059469 41863,5409:246:2,-96.5,-44,0,0,0.0593086 41864,5409:246:1,-96,-44,0,0,0.0592961 41865,5409:245:2,-95.5,-44,0,0,0.0594935 41866,5409:245:1,-95,-44,0,0,0.059965 41867,5409:144:2,-94.5,-44,0,0,0.0605027 41868,5409:144:1,-94,-44,0,0,0.0608178 41869,5409:143:2,-93.5,-44,0,0,0.0608428 41870,5409:143:1,-93,-44,0,0,0.060553 41871,5409:142:2,-92.5,-44,0,0,0.060227 41872,5409:142:1,-92,-44,0,0,0.0595305 41873,5409:141:2,-91.5,-44,0,0,0.0589028 41874,5409:141:1,-91,-44,0,0,0.0589275 41875,5409:140:2,-90.5,-44,0,0,0.059642 41876,5409:140:1,-90,-44,0,0,0.0606036 41877,5408:249:2,-89.5,-44,0,0,0.0613118 41878,5408:249:1,-89,-44,0,0,0.0612099 41879,5408:248:2,-88.5,-44,0,0,0.0602896 41880,5408:248:1,-88,-44,0,0,0.0596049 41881,5408:247:2,-87.5,-44,0,0,0.0596174 41882,5408:247:1,-87,-44,0,0,0.0605027 41883,5408:246:2,-86.5,-44,0,0,0.0613879 41884,5408:246:1,-86,-44,0,0,0.0608555 41885,5408:245:2,-85.5,-44,0,0,0.0599901 41886,5408:245:1,-85,-44,0,0,0.0597786 41887,5408:144:2,-84.5,-44,0,0,0.0599031 41888,5408:144:1,-84,-44,0,0,0.0597661 41889,5408:143:2,-83.5,-44,0,0,0.0593948 41890,5408:143:1,-83,-44,0,0,0.0592961 41891,5408:142:2,-82.5,-44,0,0,0.0591729 41892,5408:142:1,-82,-44,0,0,0.0588416 41893,5408:141:2,-81.5,-44,0,0,0.0589889 41894,5408:141:1,-81,-44,0,0,0.0599277 41895,5408:140:2,-80.5,-44,0,0,0.0602022 41896,5408:140:1,-80,-44,0,0,0.0596669 41897,5407:249:2,-79.5,-44,0,0,0.0592961 41898,5407:249:1,-79,-44,0,0,0.0617069 41899,5407:248:2,-78.5,-44,0,0,0.0649298 41900,5407:248:1,-78,-44,0,0,0.0661205 41901,5407:247:2,-77.5,-44,0,0,0.0658483 41902,5407:247:1,-77,-44,0,0,0.0643688 41903,5407:246:2,-76.5,-44,0,0,0.0626347 41904,5407:246:1,-76,-44,0,0,0.0627385 41905,5407:245:2,-75.5,-44,0,0,0.0670268 41906,5407:245:1,-75,-44,0,0,0.0675952 41907,5407:144:2,-74.5,-44,0,0,0.0748227 41908,5407:144:1,-74,-44,0,0,0.0839868 41909,5406:247:2,-67.5,-44,0,0,0.0828213 41910,5406:247:1,-67,-44,0,0,0.0758229 41911,5406:246:2,-66.5,-44,0,0,0.0708694 41912,5406:246:1,-66,-44,0,0,0.0659159 41913,5406:245:2,-65.5,-44,0,0,0.0634043 41914,5406:245:1,-65,-44,0,0,0.0610833 41915,5406:144:2,-64.5,-44,0,0,0.0566656 41916,5406:144:1,-64,-44,0,0,0.0551384 41917,5406:143:2,-63.5,-44,0,0,0.0566069 41918,5406:143:1,-63,-44,0,0,0.0569025 41919,5406:142:2,-62.5,-44,0,0,0.0573667 41920,5406:142:1,-62,-44,0,0,0.0553806 41921,5406:141:2,-61.5,-44,0,0,0.0548056 41922,5406:141:1,-61,-44,0,0,0.0549658 41923,5406:140:2,-60.5,-44,0,0,0.0560314 41924,5406:140:1,-60,-44,0,0,0.0572116 41925,5405:249:2,-59.5,-44,0,0,0.0578466 41926,5405:249:1,-59,-44,0,0,0.05775 41927,5405:248:2,-58.5,-44,0,0,0.0567013 41928,5405:248:1,-58,-44,0,0,0.0555193 41929,5405:247:2,-57.5,-44,0,0,0.0541454 41930,5405:247:1,-57,-44,0,0,0.0528478 41931,5405:246:2,-56.5,-44,0,0,0.0513531 41932,5405:246:1,-56,-44,0,0,0.0494601 41933,5405:245:2,-55.5,-44,0,0,0.0480564 41934,5405:245:1,-55,-44,0,0,0.0479553 41935,5405:144:2,-54.5,-44,0,0,0.0477139 41936,5405:144:1,-54,-44,0,0,0.047344 41937,5405:143:2,-53.5,-44,0,0,0.0472641 41938,5405:143:1,-53,-44,0,0,0.0472343 41939,5405:142:2,-52.5,-44,0,0,0.0470855 41940,5405:142:1,-52,-44,0,0,0.0465039 41941,5405:141:2,-51.5,-44,0,0,0.0456014 41942,5405:141:1,-51,-44,0,0,0.0446775 41943,5405:140:2,-50.5,-44,0,0,0.0438365 41944,5405:140:1,-50,-44,0,0,0.0431927 41945,5404:249:2,-49.5,-44,0,0,0.0417729 41946,5404:249:1,-49,-44,0,0,0.0393407 41947,5404:248:2,-48.5,-44,0,0,0.0353264 41948,5404:248:1,-48,-44,0,0,0.0337862 41949,5404:247:2,-47.5,-44,0,0,0.0330298 41950,5404:247:1,-47,-44,0,0,0.0327348 41951,5404:246:2,-46.5,-44,0,0,0.032373 41952,5404:246:1,-46,-44,0,0,0.0312972 41953,5404:245:2,-45.5,-44,0,0,0.0290358 41954,5404:245:1,-45,-44,0,0,0.0276251 41955,5404:144:2,-44.5,-44,0,0,0.0272478 41956,5404:144:1,-44,-44,0,0,0.0271134 41957,5404:143:2,-43.5,-44,0,0,0.027236 41958,5404:143:1,-43,-44,0,0,0.0277141 41959,5404:142:2,-42.5,-44,0,0,0.0276963 41960,5404:142:1,-42,-44,0,0,0.0270959 41961,5404:141:2,-41.5,-44,0,0,0.0268119 41962,5404:141:1,-41,-44,0,0,0.0269043 41963,5404:140:2,-40.5,-44,0,0,0.027026 41964,5404:140:1,-40,-44,0,0,0.0261738 41965,5403:249:2,-39.5,-44,0,0,0.0254515 41966,5403:249:1,-39,-44,0,0,0.0255284 41967,5403:248:2,-38.5,-44,0,0,0.0248985 41968,5403:248:1,-38,-44,0,0,0.0247007 41969,5403:247:2,-37.5,-44,0,0,0.0235463 41970,5403:247:1,-37,-44,0,0,0.0228949 41971,5403:246:2,-36.5,-44,0,0,0.0220171 41972,5403:246:1,-36,-44,0,0,0.0214441 41973,5403:245:2,-35.5,-44,0,0,0.0210308 41974,5403:245:1,-35,-44,0,0,0.0208181 41975,5403:144:2,-34.5,-44,0,0,0.0208452 41976,5403:144:1,-34,-44,0,0,0.0201925 41977,5403:143:2,-33.5,-44,0,0,0.0193282 41978,5403:143:1,-33,-44,0,0,0.0190248 41979,5403:142:2,-32.5,-44,0,0,0.0195513 41980,5403:142:1,-32,-44,0,0,0.0219317 41981,5403:141:2,-31.5,-44,0,0,0.0245576 41982,5403:141:1,-31,-44,0,0,0.0269101 41983,5403:140:2,-30.5,-44,0,0,0.0277321 41984,5403:140:1,-30,-44,0,0,0.0274417 41985,5402:249:2,-29.5,-44,0,0,0.0270784 41986,5402:249:1,-29,-44,0,0,0.0268119 41987,5402:248:2,-28.5,-44,0,0,0.0264056 41988,5402:248:1,-28,-44,0,0,0.0254845 41989,5402:247:2,-27.5,-44,0,0,0.0242629 41990,5402:247:1,-27,-44,0,0,0.0230985 41991,5402:246:2,-26.5,-44,0,0,0.0221746 41992,5402:246:1,-26,-44,0,0,0.021621 41993,5402:245:2,-25.5,-44,0,0,0.0216631 41994,5402:245:1,-25,-44,0,0,0.0235361 41995,5402:144:2,-24.5,-44,0,0,0.0267025 41996,5402:144:1,-24,-44,0,0,0.0270668 41997,5402:143:2,-23.5,-44,0,0,0.0258825 41998,5402:143:1,-23,-44,0,0,0.0243834 41999,5402:142:2,-22.5,-44,0,0,0.0236992 42000,5402:142:1,-22,-44,0,0,0.0239303 42001,5402:141:2,-21.5,-44,0,0,0.0248343 42002,5402:141:1,-21,-44,0,0,0.026281 42003,5402:140:2,-20.5,-44,0,0,0.0273651 42004,5402:140:1,-20,-44,0,0,0.0273416 42005,5401:249:2,-19.5,-44,0,0,0.0264739 42006,5401:249:1,-19,-44,0,0,0.0253749 42007,5401:248:2,-18.5,-44,0,0,0.0244203 42008,5401:248:1,-18,-44,0,0,0.024096 42009,5401:247:2,-17.5,-44,0,0,0.0255724 42010,5401:247:1,-17,-44,0,0,0.0276131 42011,5401:246:2,-16.5,-44,0,0,0.0281401 42012,5401:246:1,-16,-44,0,0,0.0272887 42013,5401:245:2,-15.5,-44,0,0,0.025512 42014,5401:245:1,-15,-44,0,0,0.024963 42015,5401:144:2,-14.5,-44,0,0,0.0255668 42016,5401:144:1,-14,-44,0,0,0.0262076 42017,5401:143:2,-13.5,-44,0,0,0.0274948 42018,5401:143:1,-13,-44,0,0,0.0280736 42019,5401:142:2,-12.5,-44,0,0,0.0283158 42020,5401:142:1,-12,-44,0,0,0.028243 42021,5401:141:2,-11.5,-44,0,0,0.0262583 42022,5401:141:1,-11,-44,0,0,0.0254626 42023,5401:140:2,-10.5,-44,0,0,0.0233389 42024,5401:140:1,-10,-44,0,0,0.0232987 42025,5400:249:2,-9.5,-44,0,0,0.0232887 42026,5400:249:1,-9,-44,0,0,0.0232686 42027,5400:248:2,-8.5,-44,0,0,0.0232485 42028,5400:248:1,-8,-44,0,0,0.0231683 42029,5400:247:2,-7.5,-44,0,0,0.0228751 42030,5400:247:1,-7,-44,0,0,0.022146 42031,5400:246:2,-6.5,-44,0,0,0.0205852 42032,5400:246:1,-6,-44,0,0,0.0189383 42033,5400:245:2,-5.5,-44,0,0,0.0182056 42034,5400:245:1,-5,-44,0,0,0.0178806 42035,5400:144:2,-4.5,-44,0,0,0.0178806 42036,5400:144:1,-4,-44,0,0,0.0177878 42037,5400:143:2,-3.5,-44,0,0,0.0176838 42038,5400:143:1,-3,-44,0,0,0.0175882 42039,5400:142:2,-2.5,-44,0,0,0.0172815 42040,5400:142:1,-2,-44,0,0,0.0169618 42041,5400:141:2,-1.5,-44,0,0,0.0168151 42042,5400:141:1,-1,-44,0,0,0.0165289 42043,5400:140:2,-0.5,-44,0,0,0.0163504 42044,3400:140:2,0,-44,0,0,0.0164144 42045,3400:140:2,0.5,-44,0,0,0.0165541 42046,3400:141:1,1,-44,0,0,0.0167131 42047,3400:141:2,1.5,-44,0,0,0.0168662 42048,3400:142:1,2,-44,0,0,0.0164823 42049,3400:142:2,2.5,-44,0,0,0.0153645 42050,3400:143:1,3,-44,0,0,0.0150273 42051,3400:143:2,3.5,-44,0,0,0.0152049 42052,3400:144:1,4,-44,0,0,0.0151289 42053,3400:144:2,4.5,-44,0,0,0.0147583 42054,3400:245:1,5,-44,0,0,0.014624 42055,3400:245:2,5.5,-44,0,0,0.0146813 42056,3400:246:1,6,-44,0,0,0.0144404 42057,3400:246:2,6.5,-44,0,0,0.0144121 42058,3400:247:1,7,-44,0,0,0.0143839 42059,3400:247:2,7.5,-44,0,0,0.014362 42060,3400:248:1,8,-44,0,0,0.0143464 42061,3400:248:2,8.5,-44,0,0,0.0142126 42062,3400:249:1,9,-44,0,0,0.0143089 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91950,5015:134:3,-154,-3.5,0,0,0.30716 91951,5015:133:4,-153.5,-3.5,0,0,0.293409 91952,5015:133:3,-153,-3.5,0,0,0.283267 91953,5015:132:4,-152.5,-3.5,0,0,0.272854 91954,5015:132:3,-152,-3.5,0,0,0.263328 91955,5015:131:4,-151.5,-3.5,0,0,0.254928 91956,5015:131:3,-151,-3.5,0,0,0.249459 91957,5015:130:4,-150.5,-3.5,0,0,0.247524 91958,5015:130:3,-150,-3.5,0,0,0.245085 91959,5014:239:4,-149.5,-3.5,0,0,0.243776 91960,5014:239:3,-149,-3.5,0,0,0.242951 91961,5014:238:4,-148.5,-3.5,0,0,0.242019 91962,5014:238:3,-148,-3.5,0,0,0.241156 91963,5014:237:4,-147.5,-3.5,0,0,0.240272 91964,5014:237:3,-147,-3.5,0,0,0.239326 91965,5014:236:4,-146.5,-3.5,0,0,0.238318 91966,5014:236:3,-146,-3.5,0,0,0.237399 91967,5014:235:4,-145.5,-3.5,0,0,0.236631 91968,5014:235:3,-145,-3.5,0,0,0.235908 91969,5014:134:4,-144.5,-3.5,0,0,0.235016 91970,5014:134:3,-144,-3.5,0,0,0.233979 91971,5014:133:4,-143.5,-3.5,0,0,0.232798 91972,5014:133:3,-143,-3.5,0,0,0.231495 91973,5014:132:4,-142.5,-3.5,0,0,0.230196 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102002,7011:351:3,-111,5.5,0,0,0.239283 102003,7011:350:4,-110.5,5.5,0,0,0.239455 102004,7011:350:3,-110,5.5,0,0,0.239433 102005,7010:459:4,-109.5,5.5,0,0,0.239391 102006,7010:459:3,-109,5.5,0,0,0.239497 102007,7010:458:4,-108.5,5.5,0,0,0.240358 102008,7010:458:3,-108,5.5,0,0,0.242171 102009,7010:457:4,-107.5,5.5,0,0,0.244233 102010,7010:457:3,-107,5.5,0,0,0.247244 102011,7010:456:4,-106.5,5.5,0,0,0.250888 102012,7010:456:3,-106,5.5,0,0,0.264492 102013,7010:455:4,-105.5,5.5,0,0,0.268233 102014,7010:455:3,-105,5.5,0,0,0.251575 102015,7010:354:4,-104.5,5.5,0,0,0.247419 102016,7010:354:3,-104,5.5,0,0,0.245051 102017,7010:353:4,-103.5,5.5,0,0,0.242539 102018,7010:353:3,-103,5.5,0,0,0.24094 102019,7010:352:4,-102.5,5.5,0,0,0.240164 102020,7010:352:3,-102,5.5,0,0,0.238811 102021,7010:351:4,-101.5,5.5,0,0,0.239154 102022,7010:351:3,-101,5.5,0,0,0.241242 102023,7010:350:4,-100.5,5.5,0,0,0.242994 102024,7010:350:3,-100,5.5,0,0,0.243755 102025,7009:459:4,-99.5,5.5,0,0,0.244211 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102051,7008:353:4,-83.5,5.5,0,0,0.241393 102052,7008:353:3,-83,5.5,0,0,0.243211 102053,7008:352:4,-82.5,5.5,0,0,0.242085 102054,7008:352:3,-82,5.5,0,0,0.239004 102055,7008:351:4,-81.5,5.5,0,0,0.237655 102056,7008:351:3,-81,5.5,0,0,0.237826 102057,7008:350:4,-80.5,5.5,0,0,0.238726 102058,7008:350:3,-80,5.5,0,0,0.240422 102059,7007:459:4,-79.5,5.5,0,0,0.242431 102060,7007:459:3,-79,5.5,0,0,0.244392 102061,7007:458:4,-78.5,5.5,0,0,0.246651 102062,7007:458:3,-78,5.5,0,0,0.247803 102063,7007:457:4,-77.5,5.5,0,0,0.248609 102064,7007:457:3,-77,5.5,0,0,0.249351 102065,7007:456:4,-76.5,5.5,0,0,0.249853 102066,7007:456:3,-76,5.5,0,0,0.248538 102067,7007:455:4,-75.5,5.5,0,0,0.24728 102068,7007:455:3,-75,5.5,0,0,0.242756 102069,7007:354:4,-74.5,5.5,0,0,0.236781 102070,7007:354:3,-74,5.5,0,0,0.230929 102071,7007:353:4,-73.5,5.5,0,0,0.224172 102072,7007:353:3,-73,5.5,0,0,0.222189 102073,7007:352:4,-72.5,5.5,0,0,0.223844 102074,7007:351:3,-71,5.5,0,0,0.233684 102075,7007:350:4,-70.5,5.5,0,0,0.216716 102076,7006:459:4,-69.5,5.5,0,0,0.218322 102077,7006:459:3,-69,5.5,0,0,0.223374 102078,7006:458:4,-68.5,5.5,0,0,0.226168 102079,7006:458:3,-68,5.5,0,0,0.226457 102080,7006:457:4,-67.5,5.5,0,0,0.230427 102081,7006:457:3,-67,5.5,0,0,0.237015 102082,7006:456:4,-66.5,5.5,0,0,0.239992 102083,7006:456:3,-66,5.5,0,0,0.236887 102084,7006:455:4,-65.5,5.5,0,0,0.237292 102085,7006:455:3,-65,5.5,0,0,0.236482 102086,7006:354:4,-64.5,5.5,0,0,0.233916 102087,7006:354:3,-64,5.5,0,0,0.231034 102088,7006:353:4,-63.5,5.5,0,0,0.232293 102089,7006:353:3,-63,5.5,0,0,0.234064 102090,7006:352:4,-62.5,5.5,0,0,0.2371 102091,7006:352:3,-62,5.5,0,0,0.241134 102092,7006:351:4,-61.5,5.5,0,0,0.241134 102093,7006:351:3,-61,5.5,0,0,0.239691 102094,7006:350:4,-60.5,5.5,0,0,0.239412 102095,7006:350:3,-60,5.5,0,0,0.237805 102096,7005:459:4,-59.5,5.5,0,0,0.239519 102097,7005:459:3,-59,5.5,0,0,0.239906 102098,7005:458:4,-58.5,5.5,0,0,0.23982 102099,7005:458:3,-58,5.5,0,0,0.23924 102100,7005:457:4,-57.5,5.5,0,0,0.238126 102101,7005:457:3,-57,5.5,0,0,0.237079 102102,7005:456:4,-56.5,5.5,0,0,0.236802 102103,7005:456:3,-56,5.5,0,0,0.237207 102104,7005:455:4,-55.5,5.5,0,0,0.237378 102105,7005:455:3,-55,5.5,0,0,0.237463 102106,7005:354:4,-54.5,5.5,0,0,0.237463 102107,7005:354:3,-54,5.5,0,0,0.237058 102108,7005:353:4,-53.5,5.5,0,0,0.236376 102109,7005:353:3,-53,5.5,0,0,0.235823 102110,7005:352:4,-52.5,5.5,0,0,0.235611 102111,7005:352:3,-52,5.5,0,0,0.235483 102112,7005:351:4,-51.5,5.5,0,0,0.235207 102113,7005:351:3,-51,5.5,0,0,0.234889 102114,7005:350:4,-50.5,5.5,0,0,0.234529 102115,7005:350:3,-50,5.5,0,0,0.233958 102116,7004:459:4,-49.5,5.5,0,0,0.233219 102117,7004:459:3,-49,5.5,0,0,0.232209 102118,7004:458:4,-48.5,5.5,0,0,0.230824 102119,7004:458:3,-48,5.5,0,0,0.228612 102120,7004:457:4,-47.5,5.5,0,0,0.225632 102121,7004:457:3,-47,5.5,0,0,0.22407 102122,7004:456:4,-46.5,5.5,0,0,0.223598 102123,7004:456:3,-46,5.5,0,0,0.223087 102124,7004:455:4,-45.5,5.5,0,0,0.222536 102125,7004:455:3,-45,5.5,0,0,0.222047 102126,7004:354:4,-44.5,5.5,0,0,0.221578 102127,7004:354:3,-44,5.5,0,0,0.22103 102128,7004:353:4,-43.5,5.5,0,0,0.219976 102129,7004:353:3,-43,5.5,0,0,0.218502 102130,7004:352:4,-42.5,5.5,0,0,0.216936 102131,7004:352:3,-42,5.5,0,0,0.215477 102132,7004:351:4,-41.5,5.5,0,0,0.214879 102133,7004:351:3,-41,5.5,0,0,0.214562 102134,7004:350:4,-40.5,5.5,0,0,0.214403 102135,7004:350:3,-40,5.5,0,0,0.214761 102136,7003:459:4,-39.5,5.5,0,0,0.214582 102137,7003:459:3,-39,5.5,0,0,0.213748 102138,7003:458:4,-38.5,5.5,0,0,0.212384 102139,7003:458:3,-38,5.5,0,0,0.210948 102140,7003:457:4,-37.5,5.5,0,0,0.209479 102141,7003:457:3,-37,5.5,0,0,0.20829 102142,7003:456:4,-36.5,5.5,0,0,0.207475 102143,7003:456:3,-36,5.5,0,0,0.20701 102144,7003:455:4,-35.5,5.5,0,0,0.207088 102145,7003:455:3,-35,5.5,0,0,0.207455 102146,7003:354:4,-34.5,5.5,0,0,0.207436 102147,7003:354:3,-34,5.5,0,0,0.207436 102148,7003:353:4,-33.5,5.5,0,0,0.207708 102149,7003:353:3,-33,5.5,0,0,0.208038 102150,7003:352:4,-32.5,5.5,0,0,0.208563 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131913,7415:133:3,-153,43.5,0,0,0.0495537 131914,7415:132:4,-152.5,43.5,0,0,0.0499925 131915,7415:132:3,-152,43.5,0,0,0.0502979 131916,7415:131:4,-151.5,43.5,0,0,0.0506155 131917,7415:131:3,-151,43.5,0,0,0.0515364 131918,7415:130:4,-150.5,43.5,0,0,0.0532138 131919,7415:130:3,-150,43.5,0,0,0.0543949 131920,7414:239:4,-149.5,43.5,0,0,0.0544633 131921,7414:239:3,-149,43.5,0,0,0.0544175 131922,7414:238:4,-148.5,43.5,0,0,0.0544289 131923,7414:238:3,-148,43.5,0,0,0.0548972 131924,7414:237:4,-147.5,43.5,0,0,0.056772 131925,7414:237:3,-147,43.5,0,0,0.0598655 131926,7414:236:4,-146.5,43.5,0,0,0.0622723 131927,7414:236:3,-146,43.5,0,0,0.0636012 131928,7414:235:4,-145.5,43.5,0,0,0.0646088 131929,7414:235:3,-145,43.5,0,0,0.0643822 131930,7414:134:4,-144.5,43.5,0,0,0.0631816 131931,7414:134:3,-144,43.5,0,0,0.0626992 131932,7414:133:4,-143.5,43.5,0,0,0.0638784 131933,7414:133:3,-143,43.5,0,0,0.0662021 131934,7414:132:4,-142.5,43.5,0,0,0.0674284 131935,7414:132:3,-142,43.5,0,0,0.0682668 131936,7414:131:4,-141.5,43.5,0,0,0.0695996 131937,7414:131:3,-141,43.5,0,0,0.0708113 131938,7414:130:4,-140.5,43.5,0,0,0.0724863 131939,7414:130:3,-140,43.5,0,0,0.0733225 131940,7413:239:4,-139.5,43.5,0,0,0.0747923 131941,7413:239:3,-139,43.5,0,0,0.0796557 131942,7413:238:4,-138.5,43.5,0,0,0.081787 131943,7413:238:3,-138,43.5,0,0,0.0832423 131944,7413:237:4,-137.5,43.5,0,0,0.0847896 131945,7413:237:3,-137,43.5,0,0,0.0867468 131946,7413:236:4,-136.5,43.5,0,0,0.0916275 131947,7413:236:3,-136,43.5,0,0,0.0954104 131948,7413:235:4,-135.5,43.5,0,0,0.098427 131949,7413:235:3,-135,43.5,0,0,0.0963684 131950,7413:134:4,-134.5,43.5,0,0,0.0928855 131951,7413:134:3,-134,43.5,0,0,0.0825202 131952,7413:133:4,-133.5,43.5,0,0,0.0600026 131953,7413:133:3,-133,43.5,0,0,0.0779078 131954,7413:132:4,-132.5,43.5,0,0,0.0771493 131955,7408:130:3,-80,43.5,0,0,0.0133161 131956,7407:239:4,-79.5,43.5,0,0,0.0149457 131957,7407:239:3,-79,43.5,0,0,0.0165974 131958,7407:238:4,-78.5,43.5,0,0,0.0164037 131959,7407:238:3,-78,43.5,0,0,0.0160301 131960,7407:237:4,-77.5,43.5,0,0,0.0150797 131961,7405:239:3,-59,43.5,0,0,0.011328 131962,7405:238:4,-58.5,43.5,0,0,0.0115958 131963,7405:238:3,-58,43.5,0,0,0.0125465 131964,7405:237:4,-57.5,43.5,0,0,0.0129978 131965,7405:237:3,-57,43.5,0,0,0.0130688 131966,7405:236:4,-56.5,43.5,0,0,0.0136423 131967,7405:236:3,-56,43.5,0,0,0.0181661 131968,7405:235:4,-55.5,43.5,0,0,0.0309839 131969,7405:235:3,-55,43.5,0,0,0.0413855 131970,7405:134:4,-54.5,43.5,0,0,0.0474435 131971,7405:134:3,-54,43.5,0,0,0.0456589 131972,7405:133:4,-53.5,43.5,0,0,0.044358 131973,7405:133:3,-53,43.5,0,0,0.0403464 131974,7405:132:4,-52.5,43.5,0,0,0.0386451 131975,7405:132:3,-52,43.5,0,0,0.0372578 131976,7405:131:4,-51.5,43.5,0,0,0.0367697 131977,7405:131:3,-51,43.5,0,0,0.0372895 131978,7405:130:4,-50.5,43.5,0,0,0.0375523 131979,7405:130:3,-50,43.5,0,0,0.0380181 131980,7404:239:4,-49.5,43.5,0,0,0.0379132 131981,7404:239:3,-49,43.5,0,0,0.0372421 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141820,7601:478:3,-18,67.5,0,0,0.0110808 141821,7601:477:4,-17.5,67.5,0,0,0.0110759 141822,7601:477:3,-17,67.5,0,0,0.0110687 141823,7601:476:4,-16.5,67.5,0,0,0.0110735 141824,7601:476:3,-16,67.5,0,0,0.0112589 141825,7601:475:4,-15.5,67.5,0,0,0.0128204 141826,7601:475:3,-15,67.5,0,0,0.0222611 141827,7601:374:4,-14.5,67.5,0,0,0.0348031 141828,7601:374:3,-14,67.5,0,0,0.0342582 141829,7601:373:4,-13.5,67.5,0,0,0.0346699 141830,7601:373:3,-13,67.5,0,0,0.0361256 141831,7601:372:4,-12.5,67.5,0,0,0.0374724 141832,7601:372:3,-12,67.5,0,0,0.0394325 141833,7601:371:4,-11.5,67.5,0,0,0.0420746 141834,7601:371:3,-11,67.5,0,0,0.0433485 141835,7601:370:4,-10.5,67.5,0,0,0.0453138 141836,7601:370:3,-10,67.5,0,0,0.046494 141837,7600:479:4,-9.5,67.5,0,0,0.0476839 141838,7600:479:3,-9,67.5,0,0,0.0481172 141839,7600:478:4,-8.5,67.5,0,0,0.0452945 141840,7600:478:3,-8,67.5,0,0,0.0419235 141841,7600:477:4,-7.5,67.5,0,0,0.041412 141842,7600:477:3,-7,67.5,0,0,0.0370682 141843,7600:476:4,-6.5,67.5,0,0,0.0363184 141844,7600:476:3,-6,67.5,0,0,0.0307986 141845,7600:475:4,-5.5,67.5,0,0,0.0280677 141846,7600:475:3,-5,67.5,0,0,0.0365822 141847,7600:374:4,-4.5,67.5,0,0,0.0375762 141848,7600:374:3,-4,67.5,0,0,0.0342582 141849,7600:373:4,-3.5,67.5,0,0,0.025364 141850,7600:373:3,-3,67.5,0,0,0.0198285 141851,7600:372:4,-2.5,67.5,0,0,0.018249 141852,7600:372:3,-2,67.5,0,0,0.0179001 141853,7600:371:4,-1.5,67.5,0,0,0.0185362 141854,7600:371:3,-1,67.5,0,0,0.0239355 141855,7600:370:4,-0.5,67.5,0,0,0.0320081 141856,1600:370:4,0,67.5,0,0,0.0360258 141857,1600:370:4,0.5,67.5,0,0,0.038678 141858,1600:371:3,1,67.5,0,0,0.040578 141859,1600:371:4,1.5,67.5,0,0,0.0425492 141860,1600:372:3,2,67.5,0,0,0.0462011 141861,1600:372:4,2.5,67.5,0,0,0.0485336 141862,1600:373:3,3,67.5,0,0,0.0497937 141863,1600:373:4,3.5,67.5,0,0,0.0479956 141864,1600:374:3,4,67.5,0,0,0.0472243 141865,1600:374:4,4.5,67.5,0,0,0.049481 141866,1600:475:3,5,67.5,0,0,0.0494186 141867,1600:475:4,5.5,67.5,0,0,0.046104 141868,1600:476:3,6,67.5,0,0,0.0402525 141869,1600:476:4,6.5,67.5,0,0,0.038678 141870,1600:477:3,7,67.5,0,0,0.0399633 141871,1600:477:4,7.5,67.5,0,0,0.0425401 141872,1600:478:3,8,67.5,0,0,0.0427839 141873,1600:478:4,8.5,67.5,0,0,0.0412717 141874,1600:479:3,9,67.5,0,0,0.0345739 141875,1600:479:4,9.5,67.5,0,0,0.030759 141876,1601:370:3,10,67.5,0,0,0.032651 141877,1601:370:4,10.5,67.5,0,0,0.0337501 141878,1601:371:3,11,67.5,0,0,0.0348477 141879,1601:371:4,11.5,67.5,0,0,0.0353115 141880,1601:372:3,12,67.5,0,0,0.0360487 141881,1601:372:4,12.5,67.5,0,0,0.0361024 141882,1601:373:3,13,67.5,0,0,0.0358345 141883,1601:373:4,13.5,67.5,0,0,0.0352963 141884,1601:374:3,14,67.5,0,0,0.0349147 141885,1601:374:4,14.5,67.5,0,0,0.0350041 141886,1601:475:3,15,67.5,0,0,0.0359645 141887,1601:475:4,15.5,67.5,0,0,0.0380667 141888,1601:476:3,16,67.5,0,0,0.0380909 141889,1601:476:4,16.5,67.5,0,0,0.0340904 141890,1601:477:3,17,67.5,0,0,0.0292546 141891,1601:477:4,17.5,67.5,0,0,0.0206387 141892,1601:478:3,18,67.5,0,0,0.0170357 141893,1602:371:3,21,67.5,0,0,0.0115151 141894,1602:371:4,21.5,67.5,0,0,0.0120949 141895,1602:372:3,22,67.5,0,0,0.0123563 141896,1602:372:4,22.5,67.5,0,0,0.0115301 141897,1614:372:3,142,67.5,0,0,0.0119037 141898,1614:372:4,142.5,67.5,0,0,0.01187 141899,1614:373:3,143,67.5,0,0,0.0118208 141900,1614:373:4,143.5,67.5,0,0,0.0117744 141901,1614:374:3,144,67.5,0,0,0.011741 141902,1614:374:4,144.5,67.5,0,0,0.0117308 141903,1614:475:3,145,67.5,0,0,0.0116848 141904,1614:475:4,145.5,67.5,0,0,0.011611 141905,1614:476:3,146,67.5,0,0,0.0115756 141906,1614:476:4,146.5,67.5,0,0,0.0115226 141907,1614:477:3,147,67.5,0,0,0.0114548 141908,1614:477:4,147.5,67.5,0,0,0.0114724 141909,1614:478:3,148,67.5,0,0,0.0115076 141910,1614:478:4,148.5,67.5,0,0,0.0114474 141911,1614:479:3,149,67.5,0,0,0.0114349 141912,1614:479:4,149.5,67.5,0,0,0.0114524 141913,1615:370:3,150,67.5,0,0,0.0114274 141914,1615:370:4,150.5,67.5,0,0,0.01138 141915,1615:371:3,151,67.5,0,0,0.0113552 141916,1615:371:4,151.5,67.5,0,0,0.0113652 141917,1615:372:3,152,67.5,0,0,0.01139 141918,1615:372:4,152.5,67.5,0,0,0.0114323 141919,1615:373:3,153,67.5,0,0,0.0114599 141920,1615:373:4,153.5,67.5,0,0,0.0114624 141921,1615:374:3,154,67.5,0,0,0.0114499 141922,1615:374:4,154.5,67.5,0,0,0.0114323 141923,1615:475:3,155,67.5,0,0,0.0114174 141924,1615:475:4,155.5,67.5,0,0,0.0114 141925,1615:476:3,156,67.5,0,0,0.0113726 141926,1615:476:4,156.5,67.5,0,0,0.0113453 141927,1615:477:3,157,67.5,0,0,0.0113181 141928,1615:477:4,157.5,67.5,0,0,0.0112885 141929,1615:478:3,158,67.5,0,0,0.0112613 141930,1615:478:4,158.5,67.5,0,0,0.0112295 141931,1615:479:3,159,67.5,0,0,0.0112 141932,1615:479:4,159.5,67.5,0,0,0.0111756 141933,1616:370:3,160,67.5,0,0,0.0111487 141934,1616:370:4,160.5,67.5,0,0,0.0111268 141935,1616:371:3,161,67.5,0,0,0.011105 141936,1616:371:4,161.5,67.5,0,0,0.0110831 141937,1616:372:3,162,67.5,0,0,0.0110759 141938,1616:372:4,162.5,67.5,0,0,0.0110808 141939,1616:373:3,163,67.5,0,0,0.011088 141940,1616:373:4,163.5,67.5,0,0,0.0110929 141941,1616:374:3,164,67.5,0,0,0.0110929 141942,1616:374:4,164.5,67.5,0,0,0.0110856 141943,1616:475:3,165,67.5,0,0,0.0110783 141944,1616:475:4,165.5,67.5,0,0,0.0110783 141945,1616:476:3,166,67.5,0,0,0.011088 141946,1616:476:4,166.5,67.5,0,0,0.0111123 141947,1616:477:3,167,67.5,0,0,0.011139 141948,1616:477:4,167.5,67.5,0,0,0.011156 141949,1616:478:3,168,67.5,0,0,0.0111682 141950,1616:478:4,168.5,67.5,0,0,0.0111756 141951,1616:479:3,169,67.5,0,0,0.011178 141952,1616:479:4,169.5,67.5,0,0,0.0111756 141953,1617:370:3,170,67.5,0,0,0.011178 141954,1617:370:4,170.5,67.5,0,0,0.0111829 141955,1617:371:3,171,67.5,0,0,0.0111951 141956,1617:371:4,171.5,67.5,0,0,0.0112074 141957,1617:372:3,172,67.5,0,0,0.0112123 141958,1617:372:4,172.5,67.5,0,0,0.0112196 141959,1617:373:3,173,67.5,0,0,0.011222 141960,1617:373:4,173.5,67.5,0,0,0.011222 141961,1617:374:3,174,67.5,0,0,0.0112196 141962,1617:374:4,174.5,67.5,0,0,0.0112172 141963,1617:475:3,175,67.5,0,0,0.0112147 141964,1617:475:4,175.5,67.5,0,0,0.0112147 141965,1617:476:3,176,67.5,0,0,0.0112123 141966,1617:476:4,176.5,67.5,0,0,0.0112147 141967,1617:477:3,177,67.5,0,0,0.0112147 141968,1617:477:4,177.5,67.5,0,0,0.0112172 141969,1617:478:3,178,67.5,0,0,0.011222 141970,1617:478:4,178.5,67.5,0,0,0.0112295 141971,1617:479:3,179,67.5,0,0,0.0112343 141972,1617:479:4,179.5,67.5,0,0,0.0112393 141973,1618:370:3,180,67.5,0,0,0.0112417 141974,7618:380:1,-180,68,0,0,0.0112417 141975,7617:489:2,-179.5,68,0,0,0.0112441 141976,7617:489:1,-179,68,0,0,0.0112466 141977,7617:488:2,-178.5,68,0,0,0.0112491 141978,7617:488:1,-178,68,0,0,0.0112491 141979,7617:487:2,-177.5,68,0,0,0.0112515 141980,7617:487:1,-177,68,0,0,0.0112491 141981,7617:486:2,-176.5,68,0,0,0.0112466 141982,7617:486:1,-176,68,0,0,0.0112393 141983,7617:485:2,-175.5,68,0,0,0.0112393 141984,7617:485:1,-175,68,0,0,0.0112441 141985,7617:384:2,-174.5,68,0,0,0.0112613 141986,7617:384:1,-174,68,0,0,0.011286 141987,7617:383:2,-173.5,68,0,0,0.0113082 141988,7617:383:1,-173,68,0,0,0.0113255 141989,7617:382:2,-172.5,68,0,0,0.0113329 141990,7617:382:1,-172,68,0,0,0.0113304 141991,7617:381:2,-171.5,68,0,0,0.0113329 141992,7617:381:1,-171,68,0,0,0.0113403 141993,7617:380:2,-170.5,68,0,0,0.0113478 141994,7617:380:1,-170,68,0,0,0.0113503 141995,7616:489:2,-169.5,68,0,0,0.0113453 141996,7616:489:1,-169,68,0,0,0.0113379 141997,7616:488:2,-168.5,68,0,0,0.0113206 141998,7616:488:1,-168,68,0,0,0.0113033 141999,7616:487:2,-167.5,68,0,0,0.0112983 142000,7616:487:1,-167,68,0,0,0.0112958 142001,7616:486:2,-166.5,68,0,0,0.0112909 142002,7616:486:1,-166,68,0,0,0.0112909 142003,7616:485:2,-165.5,68,0,0,0.0112885 142004,7616:485:1,-165,68,0,0,0.0112885 142005,7616:384:2,-164.5,68,0,0,0.0112933 142006,7616:384:1,-164,68,0,0,0.0113008 142007,7616:383:2,-163.5,68,0,0,0.0113132 142008,7616:383:1,-163,68,0,0,0.011328 142009,7616:382:2,-162.5,68,0,0,0.0113428 142010,7616:382:1,-162,68,0,0,0.0113453 142011,7616:381:2,-161.5,68,0,0,0.0113379 142012,7616:381:1,-161,68,0,0,0.011328 142013,7616:380:2,-160.5,68,0,0,0.0113181 142014,7616:380:1,-160,68,0,0,0.0113082 142015,7615:489:2,-159.5,68,0,0,0.0112983 142016,7615:489:1,-159,68,0,0,0.0112909 142017,7615:488:2,-158.5,68,0,0,0.0112811 142018,7615:488:1,-158,68,0,0,0.0112736 142019,7615:487:2,-157.5,68,0,0,0.0112712 142020,7615:487:1,-157,68,0,0,0.0112712 142021,7615:486:2,-156.5,68,0,0,0.0112688 142022,7615:486:1,-156,68,0,0,0.0112613 142023,7615:485:2,-155.5,68,0,0,0.0112417 142024,7615:485:1,-155,68,0,0,0.0112172 142025,7615:384:2,-154.5,68,0,0,0.0111976 142026,7615:384:1,-154,68,0,0,0.0111951 142027,7615:383:2,-153.5,68,0,0,0.0112123 142028,7615:383:1,-153,68,0,0,0.0112196 142029,7615:382:2,-152.5,68,0,0,0.0112049 142030,7615:382:1,-152,68,0,0,0.0111731 142031,7615:381:2,-151.5,68,0,0,0.0112025 142032,7615:381:1,-151,68,0,0,0.0111976 142033,7615:380:2,-150.5,68,0,0,0.0111293 142034,7615:380:1,-150,68,0,0,0.0110494 142035,7614:489:2,-149.5,68,0,0,0.0109891 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151286,7903:101:1,-31,90,0,0,0.0107634 151287,7903:100:2,-30.5,90,0,0,0.010761 151288,7903:100:1,-30,90,0,0,0.0107634 151289,7902:209:2,-29.5,90,0,0,0.0107657 151290,7902:209:1,-29,90,0,0,0.0107634 151291,7902:208:2,-28.5,90,0,0,0.010761 151292,7902:208:1,-28,90,0,0,0.0107586 151293,7902:207:2,-27.5,90,0,0,0.0107563 151294,7902:207:1,-27,90,0,0,0.0107539 151295,7902:206:2,-26.5,90,0,0,0.0108959 151296,7902:206:1,-26,90,0,0,0.0111196 151297,7902:205:2,-25.5,90,0,0,0.0110421 151298,7902:205:1,-25,90,0,0,0.0109699 151299,7902:104:2,-24.5,90,0,0,0.0114374 151300,7902:104:1,-24,90,0,0,0.0120922 151301,1916:205:2,165.5,90,0,0,0.010865 151302,1916:206:1,166,90,0,0,0.0108294 151303,1916:206:2,166.5,90,0,0,0.0107845 151304,1916:207:1,167,90,0,0,0.010768 151305,1916:207:2,167.5,90,0,0,0.0107563 151306,1916:208:1,168,90,0,0,0.0107422 151307,1916:208:2,168.5,90,0,0,0.0107257 151308,1916:209:1,169,90,0,0,0.010714 151309,1916:209:2,169.5,90,0,0,0.0107094 151310,1917:100:1,170,90,0,0,0.0107117 151311,1917:100:2,170.5,90,0,0,0.0107117 151312,1917:101:1,171,90,0,0,0.010707 151313,1917:101:2,171.5,90,0,0,0.0111976 151314,1917:102:1,172,90,0,0,0.0127562 151315,1917:102:2,172.5,90,0,0,0.0145699 151316,1917:103:1,173,90,0,0,0.0154752 151317,1917:103:2,173.5,90,0,0,0.0154517 151318,1917:104:1,174,90,0,0,0.0153679 151319,1917:104:2,174.5,90,0,0,0.0153144 151320,1917:205:1,175,90,0,0,0.0152945 151321,1917:205:2,175.5,90,0,0,0.0152082 151322,1917:206:1,176,90,0,0,0.0148679 151323,1917:206:2,176.5,90,0,0,0.0124023 151324,1917:207:1,177,90,0,0,0.0108413 151325,1917:207:2,177.5,90,0,0,0.010707 151326,1917:208:1,178,90,0,0,0.0107094 151327,1917:208:2,178.5,90,0,0,0.0107211 151328,1917:209:1,179,90,0,0,0.0107305 151329,1917:209:2,179.5,90,0,0,0.0107375 151330,1918:100:1,180,90,0,0,0.0107445 non_deterministic_output NonDeterministicOutput http://data-d.d4science.org/S0F4NnovSEFpTGRxUmhYZ0pWd0RHcTJZWmJXb0pBWUNHbWJQNStIS0N6Yz0 The warnings from the underlying MaxEnt model text/csv http://data-d.d4science.org/Z1ptYitlUzFzRFZxUmhYZ0pWd0RHczNnOUpCcndpU3dHbWJQNStIS0N6Yz0 ASCII Maps of the environmental layers for checking features aligments text/csv http://data-d.d4science.org/aFhRUXpUd0FJVDlxUmhYZ0pWd0RHc2YyakJqenhDV1NHbWJQNStIS0N6Yz0 World Thumbnail image/png http://data-d.d4science.org/WS9sdjBmSXhncXBxUmhYZ0pWd0RHb2dnNXBsSXFKY2xHbWJQNStIS0N6Yz0 ROC Curve image/png http://data-d.d4science.org/dGhlbFNvK3dHbEZxUmhYZ0pWd0RHczJOcjNScFZvOGZHbWJQNStIS0N6Yz0 Omission-Commission Curve image/png http://data-d.d4science.org/eEE5QUhTWmZjSnRxUmhYZ0pWd0RHZzVUR0d0U1lUVVNHbWJQNStIS0N6Yz0 Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/csv 2016-04-26 11:05:01 DEBUG SClient4WPS:858 - WPS SUCCESS 2016-04-26 11:05:01 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=100.0, status=COMPLETE, endDate=null, message=null, errResource=null] 2016-04-26 11:05:01 DEBUG Log:91 - getResourceByComputationId: ComputationId [id=4f65798b-a27d-4ab8-a5e9-cd25a31182df, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df] 2016-04-26 11:05:01 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-26 11:05:01 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-26 11:05:01 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:05:01 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:Best Threshold 2016-04-26 11:05:01 DEBUG WPS2SM:315 - Conversion to SM Type->Title:Best threshold for transforming MaxEnt values into 0/1 probability assignments 2016-04-26 11:05:01 DEBUG WPS2SM:324 - Literal Output 2016-04-26 11:05:01 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:05:01 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:05:01 DEBUG WPS2SM:101 - Guessed default value: 2016-04-26 11:05:01 DEBUG SClient4WPS:932 - OutputParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=null, name=Best Threshold, description=Best threshold for transforming MaxEnt values into 0/1 probability assignments, typology=OBJECT] 2016-04-26 11:05:01 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:Estimated Prevalence 2016-04-26 11:05:01 DEBUG WPS2SM:315 - Conversion to SM Type->Title:The a posteriori estimated prevalence of the species 2016-04-26 11:05:01 DEBUG WPS2SM:324 - Literal Output 2016-04-26 11:05:01 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:05:01 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:05:01 DEBUG WPS2SM:101 - Guessed default value: 2016-04-26 11:05:01 DEBUG SClient4WPS:932 - OutputParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=null, name=Estimated Prevalence, description=The a posteriori estimated prevalence of the species, typology=OBJECT] 2016-04-26 11:05:01 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:Variables contributions 2016-04-26 11:05:01 DEBUG WPS2SM:315 - Conversion to SM Type->Title:The contribution of each variable to the MaxEnt values estimates 2016-04-26 11:05:01 DEBUG WPS2SM:324 - Literal Output 2016-04-26 11:05:01 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:05:01 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:05:01 DEBUG WPS2SM:101 - Guessed default value: 2016-04-26 11:05:01 DEBUG SClient4WPS:932 - OutputParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=null, name=Variables contributions, description=The contribution of each variable to the MaxEnt values estimates, typology=OBJECT] 2016-04-26 11:05:01 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:Variables Permutations Importance 2016-04-26 11:05:01 DEBUG WPS2SM:315 - Conversion to SM Type->Title:The importance of the permutations of the variables during the training 2016-04-26 11:05:01 DEBUG WPS2SM:324 - Literal Output 2016-04-26 11:05:01 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:05:01 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:05:01 DEBUG WPS2SM:101 - Guessed default value: 2016-04-26 11:05:01 DEBUG SClient4WPS:932 - OutputParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=null, name=Variables Permutations Importance, description=The importance of the permutations of the variables during the training, typology=OBJECT] 2016-04-26 11:05:01 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:ASCII Maps of the environmental layers for checking features aligments 2016-04-26 11:05:01 DEBUG WPS2SM:315 - Conversion to SM Type->Title:ASCII Maps of the environmental layers for checking features aligments 2016-04-26 11:05:01 DEBUG WPS2SM:331 - Complex Output 2016-04-26 11:05:01 DEBUG WPS2SM:200 - MimeType: application/d4science 2016-04-26 11:05:01 DEBUG WPS2SM:201 - Schema: null 2016-04-26 11:05:01 DEBUG WPS2SM:202 - Encoding: null 2016-04-26 11:05:01 DEBUG SClient4WPS:932 - OutputParameter: FileParameter [mimeType=application/d4science, value=null, name=ASCII Maps of the environmental layers for checking features aligments, description=ASCII Maps of the environmental layers for checking features aligments, typology=FILE] 2016-04-26 11:05:01 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:OutputTable7 2016-04-26 11:05:01 DEBUG WPS2SM:315 - Conversion to SM Type->Title:Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-26 11:05:01 DEBUG WPS2SM:331 - Complex Output 2016-04-26 11:05:01 DEBUG WPS2SM:200 - MimeType: text/csv 2016-04-26 11:05:01 DEBUG WPS2SM:201 - Schema: null 2016-04-26 11:05:01 DEBUG WPS2SM:202 - Encoding: null 2016-04-26 11:05:01 DEBUG SClient4WPS:932 - OutputParameter: TabularParameter [tableName= , templates=[], name=OutputTable7, description=Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding], typology=TABULAR] 2016-04-26 11:05:01 DEBUG WPS2SM:314 - Conversion to SM Type->Output id:non_deterministic_output 2016-04-26 11:05:01 DEBUG WPS2SM:315 - Conversion to SM Type->Title:NonDeterministicOutput 2016-04-26 11:05:01 DEBUG WPS2SM:331 - Complex Output 2016-04-26 11:05:01 DEBUG WPS2SM:200 - MimeType: text/xml; subtype=gml/2.1.2 2016-04-26 11:05:01 DEBUG WPS2SM:201 - Schema: http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-26 11:05:01 DEBUG WPS2SM:202 - Encoding: null 2016-04-26 11:05:01 DEBUG SClient4WPS:932 - OutputParameter: FileParameter [mimeType=text/xml; subtype=gml/2.1.2, value=null, name=non_deterministic_output, description=NonDeterministicOutput, typology=FILE] 2016-04-26 11:05:01 DEBUG SClient4WPS:419 - RetrieveProcessResult: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df 2016-04-26 11:05:01 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=4f65798b-a27d-4ab8-a5e9-cd25a31182df 2016-04-26 11:05:01 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:05:01 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:05:01 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:05:02 DEBUG SClient4WPS:430 - Response: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING Process successful ASCII Maps of the environmental layers for checking features aligments ASCII Maps of the environmental layers for checking features aligments _____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________ _____________________________________________ ________ _ ____ __ __ ___ __________ _______________________________________________________________________________________________________________________________________________________ ____________ _______ ____ ________ _____ _____________________________________________________________________________________________________ ______________________________________________ __________ _ __ _ __ _____ _ _______ _________________________________________________________________________________________________________________________________________________ ___ _____ ____________________ _________________________________________________________________________________________________________ _________________________________________ __________ ______ ___ ___ __ ____ _ __________ _______ ____ __ 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________________ __________________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ____________________________________________________________________________________________________________________________________________________________________________________________________________ _______ ____________ _______________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________________________________________________________________ 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____________________________________________________________________________ ______________________________ _____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________ _____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________ _____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________ _____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________ _____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________ _____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________ _____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________ OutputTable7 Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] id,csquarecode,x,y,z,time,fvalue 1,5918:100:1,-180,-90,0,0,0.0107445 2,5917:209:2,-179.5,-90,0,0,0.0107516 3,5917:209:1,-179,-90,0,0,0.0107539 4,5917:208:2,-178.5,-90,0,0,0.0107516 5,5917:208:1,-178,-90,0,0,0.0107539 6,5917:207:2,-177.5,-90,0,0,0.0107563 7,5917:207:1,-177,-90,0,0,0.010761 8,5917:206:2,-176.5,-90,0,0,0.0107634 9,5917:206:1,-176,-90,0,0,0.0107634 10,5917:205:2,-175.5,-90,0,0,0.0107657 11,5917:205:1,-175,-90,0,0,0.0107657 12,5917:104:2,-174.5,-90,0,0,0.010768 13,5917:104:1,-174,-90,0,0,0.0107704 14,5917:103:2,-173.5,-90,0,0,0.0107704 15,5917:103:1,-173,-90,0,0,0.0107728 16,5917:102:2,-172.5,-90,0,0,0.0107728 17,5917:102:1,-172,-90,0,0,0.0107751 18,5917:101:2,-171.5,-90,0,0,0.0107751 19,5917:101:1,-171,-90,0,0,0.0107751 20,5917:100:2,-170.5,-90,0,0,0.0107775 21,5917:100:1,-170,-90,0,0,0.0107775 22,5916:209:2,-169.5,-90,0,0,0.0107798 23,5916:209:1,-169,-90,0,0,0.0107798 24,5916:208:2,-168.5,-90,0,0,0.0107798 25,5916:208:1,-168,-90,0,0,0.0107822 26,5916:207:2,-167.5,-90,0,0,0.0107822 27,5916:207:1,-167,-90,0,0,0.0107845 28,5916:206:2,-166.5,-90,0,0,0.0107845 29,5916:206:1,-166,-90,0,0,0.0107822 30,5916:205:2,-165.5,-90,0,0,0.0107822 31,5916:205:1,-165,-90,0,0,0.0107822 32,5916:104:2,-164.5,-90,0,0,0.0107822 33,5916:104:1,-164,-90,0,0,0.0107822 34,5916:103:2,-163.5,-90,0,0,0.0107822 35,5916:103:1,-163,-90,0,0,0.0107845 36,5916:102:2,-162.5,-90,0,0,0.0107845 37,5916:102:1,-162,-90,0,0,0.0107845 38,5916:101:2,-161.5,-90,0,0,0.0107845 39,5916:101:1,-161,-90,0,0,0.0107869 40,5916:100:2,-160.5,-90,0,0,0.0107892 41,5916:100:1,-160,-90,0,0,0.0107916 42,5915:209:2,-159.5,-90,0,0,0.010794 43,5915:209:1,-159,-90,0,0,0.010794 44,5915:208:2,-158.5,-90,0,0,0.0107963 45,5915:208:1,-158,-90,0,0,0.0107987 46,5915:207:2,-157.5,-90,0,0,0.0107987 47,5915:207:1,-157,-90,0,0,0.0107963 48,5915:206:2,-156.5,-90,0,0,0.0107963 49,5915:206:1,-156,-90,0,0,0.0107987 50,5915:205:2,-155.5,-90,0,0,0.0108011 51,5915:205:1,-155,-90,0,0,0.0108011 52,5915:104:2,-154.5,-90,0,0,0.0107963 53,5915:104:1,-154,-90,0,0,0.0107963 54,5915:103:2,-153.5,-90,0,0,0.0107987 55,5915:103:1,-153,-90,0,0,0.0108011 56,5915:102:2,-152.5,-90,0,0,0.0108011 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1736,5815:466:2,-156.5,-86,0,0,0.0107963 1737,5815:466:1,-156,-86,0,0,0.0107987 1738,5815:465:2,-155.5,-86,0,0,0.0108011 1739,5815:465:1,-155,-86,0,0,0.0108011 1740,5815:364:2,-154.5,-86,0,0,0.0107963 1741,5815:364:1,-154,-86,0,0,0.0107963 1742,5815:363:2,-153.5,-86,0,0,0.0107987 1743,5815:363:1,-153,-86,0,0,0.0108011 1744,5815:362:2,-152.5,-86,0,0,0.0108011 1745,5815:362:1,-152,-86,0,0,0.0107987 1746,5815:361:2,-151.5,-86,0,0,0.010794 1747,5815:361:1,-151,-86,0,0,0.010794 1748,5815:360:2,-150.5,-86,0,0,0.010794 1749,5815:360:1,-150,-86,0,0,0.010794 1750,5814:469:2,-149.5,-86,0,0,0.010794 1751,5814:469:1,-149,-86,0,0,0.0107916 1752,5814:468:2,-148.5,-86,0,0,0.0107916 1753,5814:468:1,-148,-86,0,0,0.0107916 1754,5814:467:2,-147.5,-86,0,0,0.0107916 1755,5814:467:1,-147,-86,0,0,0.0107892 1756,5814:466:2,-146.5,-86,0,0,0.0107892 1757,5814:466:1,-146,-86,0,0,0.0107869 1758,5814:465:2,-145.5,-86,0,0,0.0107869 1759,5814:465:1,-145,-86,0,0,0.0107869 1760,5814:364:2,-144.5,-86,0,0,0.0107845 1761,5814:364:1,-144,-86,0,0,0.0107845 1762,5814:363:2,-143.5,-86,0,0,0.0107845 1763,5814:363:1,-143,-86,0,0,0.0107869 1764,5814:362:2,-142.5,-86,0,0,0.0107869 1765,5814:362:1,-142,-86,0,0,0.0107845 1766,5814:361:2,-141.5,-86,0,0,0.0107822 1767,5814:361:1,-141,-86,0,0,0.0107845 1768,5814:360:2,-140.5,-86,0,0,0.0107845 1769,5814:360:1,-140,-86,0,0,0.0107869 1770,5813:469:2,-139.5,-86,0,0,0.0107869 1771,5813:469:1,-139,-86,0,0,0.0107869 1772,5813:468:2,-138.5,-86,0,0,0.0107869 1773,5813:468:1,-138,-86,0,0,0.0107892 1774,5813:467:2,-137.5,-86,0,0,0.0108011 1775,5813:467:1,-137,-86,0,0,0.0108365 1776,5813:466:2,-136.5,-86,0,0,0.0108911 1777,5813:466:1,-136,-86,0,0,0.011018 1778,5813:465:2,-135.5,-86,0,0,0.0114874 1779,5813:465:1,-135,-86,0,0,0.0116389 1780,5813:364:2,-134.5,-86,0,0,0.0116161 1781,5813:364:1,-134,-86,0,0,0.0117282 1782,5811:360:1,-110,-86,0,0,0.013678 1783,5810:469:2,-109.5,-86,0,0,0.0146717 1784,5810:469:1,-109,-86,0,0,0.0155562 1785,5810:468:2,-108.5,-86,0,0,0.015455 1786,5810:466:1,-106,-86,0,0,0.0110517 1787,5810:465:2,-105.5,-86,0,0,0.0109197 1788,5810:465:1,-105,-86,0,0,0.0108721 1789,5810:364:2,-104.5,-86,0,0,0.0109078 1790,5810:364:1,-104,-86,0,0,0.0113677 1791,5810:363:2,-103.5,-86,0,0,0.012233 1792,5810:363:1,-103,-86,0,0,0.0128372 1793,5810:362:2,-102.5,-86,0,0,0.0129807 1794,5806:361:2,-61.5,-86,0,0,0.0108768 1795,5806:361:1,-61,-86,0,0,0.0108626 1796,5806:360:2,-60.5,-86,0,0,0.010827 1797,5806:360:1,-60,-86,0,0,0.0108011 1798,5805:469:2,-59.5,-86,0,0,0.0107798 1799,5805:469:1,-59,-86,0,0,0.0107539 1800,5805:468:2,-58.5,-86,0,0,0.0107351 1801,5805:468:1,-58,-86,0,0,0.0107305 1802,5805:467:2,-57.5,-86,0,0,0.0107281 1803,5805:467:1,-57,-86,0,0,0.0107257 1804,5805:466:2,-56.5,-86,0,0,0.0107234 1805,5805:466:1,-56,-86,0,0,0.0107234 1806,5805:465:2,-55.5,-86,0,0,0.0107234 1807,5805:465:1,-55,-86,0,0,0.0107257 1808,5805:364:2,-54.5,-86,0,0,0.0107257 1809,5805:364:1,-54,-86,0,0,0.0107257 1810,5805:363:2,-53.5,-86,0,0,0.0107257 1811,5805:363:1,-53,-86,0,0,0.0107281 1812,5805:362:2,-52.5,-86,0,0,0.0107305 1813,5805:362:1,-52,-86,0,0,0.0107328 1814,5805:361:2,-51.5,-86,0,0,0.0107328 1815,5805:361:1,-51,-86,0,0,0.0107351 1816,5805:360:2,-50.5,-86,0,0,0.0107351 1817,5805:360:1,-50,-86,0,0,0.0107351 1818,5804:469:2,-49.5,-86,0,0,0.0107351 1819,5804:469:1,-49,-86,0,0,0.0107351 1820,5804:468:2,-48.5,-86,0,0,0.0107328 1821,5804:468:1,-48,-86,0,0,0.0107305 1822,5804:467:2,-47.5,-86,0,0,0.0107305 1823,5804:467:1,-47,-86,0,0,0.0107375 1824,5804:466:2,-46.5,-86,0,0,0.0107422 1825,5804:466:1,-46,-86,0,0,0.0107469 1826,5804:465:2,-45.5,-86,0,0,0.0107516 1827,5804:465:1,-45,-86,0,0,0.0107563 1828,5804:364:2,-44.5,-86,0,0,0.0107539 1829,5804:364:1,-44,-86,0,0,0.0107539 1830,5804:363:2,-43.5,-86,0,0,0.0107539 1831,5804:363:1,-43,-86,0,0,0.0107539 1832,5804:362:2,-42.5,-86,0,0,0.0107516 1833,5804:362:1,-42,-86,0,0,0.0107516 1834,5804:361:2,-41.5,-86,0,0,0.0107539 1835,5804:361:1,-41,-86,0,0,0.0107539 1836,5804:360:2,-40.5,-86,0,0,0.0107563 1837,5804:360:1,-40,-86,0,0,0.0107586 1838,5803:469:2,-39.5,-86,0,0,0.0107586 1839,5803:469:1,-39,-86,0,0,0.0107586 1840,5803:468:2,-38.5,-86,0,0,0.0107586 1841,5803:468:1,-38,-86,0,0,0.0107586 1842,5803:467:2,-37.5,-86,0,0,0.010761 1843,5803:467:1,-37,-86,0,0,0.0107586 1844,5803:466:2,-36.5,-86,0,0,0.0107586 1845,5803:466:1,-36,-86,0,0,0.0107586 1846,5803:465:2,-35.5,-86,0,0,0.0107586 1847,5803:465:1,-35,-86,0,0,0.010761 1848,5803:364:2,-34.5,-86,0,0,0.010761 1849,5803:364:1,-34,-86,0,0,0.0107586 1850,5803:363:2,-33.5,-86,0,0,0.0107586 1851,5803:363:1,-33,-86,0,0,0.0107586 1852,5803:362:2,-32.5,-86,0,0,0.010761 1853,5803:362:1,-32,-86,0,0,0.010761 1854,5803:361:2,-31.5,-86,0,0,0.010761 1855,5803:361:1,-31,-86,0,0,0.0107634 1856,5803:360:2,-30.5,-86,0,0,0.010761 1857,5803:360:1,-30,-86,0,0,0.0107634 1858,5802:469:2,-29.5,-86,0,0,0.0107657 1859,5802:469:1,-29,-86,0,0,0.0107634 1860,5802:468:2,-28.5,-86,0,0,0.010761 1861,5802:468:1,-28,-86,0,0,0.0107586 1862,5802:467:2,-27.5,-86,0,0,0.0107563 1863,5802:467:1,-27,-86,0,0,0.0107539 1864,5802:466:2,-26.5,-86,0,0,0.0108959 1865,5802:466:1,-26,-86,0,0,0.0111196 1866,5802:465:2,-25.5,-86,0,0,0.0110421 1867,5802:465:1,-25,-86,0,0,0.0109699 1868,5802:364:2,-24.5,-86,0,0,0.0114374 1869,5802:364:1,-24,-86,0,0,0.0120922 1870,3816:465:2,165.5,-86,0,0,0.010865 1871,3816:466:1,166,-86,0,0,0.0108294 1872,3816:466:2,166.5,-86,0,0,0.0107845 1873,3816:467:1,167,-86,0,0,0.010768 1874,3816:467:2,167.5,-86,0,0,0.0107563 1875,3816:468:1,168,-86,0,0,0.0107422 1876,3816:468:2,168.5,-86,0,0,0.0107257 1877,3816:469:1,169,-86,0,0,0.010714 1878,3816:469:2,169.5,-86,0,0,0.0107094 1879,3817:360:1,170,-86,0,0,0.0107117 1880,3817:360:2,170.5,-86,0,0,0.0107117 1881,3817:361:1,171,-86,0,0,0.010707 1882,3817:361:2,171.5,-86,0,0,0.0111976 1883,3817:362:1,172,-86,0,0,0.0127562 1884,3817:362:2,172.5,-86,0,0,0.0145699 1885,3817:363:1,173,-86,0,0,0.0154752 1886,3817:363:2,173.5,-86,0,0,0.0154517 1887,3817:364:1,174,-86,0,0,0.0153679 1888,3817:364:2,174.5,-86,0,0,0.0153144 1889,3817:465:1,175,-86,0,0,0.0152945 1890,3817:465:2,175.5,-86,0,0,0.0152082 1891,3817:466:1,176,-86,0,0,0.0148679 1892,3817:466:2,176.5,-86,0,0,0.0124023 1893,3817:467:1,177,-86,0,0,0.0108413 1894,3817:467:2,177.5,-86,0,0,0.010707 1895,3817:468:1,178,-86,0,0,0.0107094 1896,3817:468:2,178.5,-86,0,0,0.0107211 1897,3817:469:1,179,-86,0,0,0.0107305 1898,3817:469:2,179.5,-86,0,0,0.0107375 1899,3818:360:1,180,-86,0,0,0.0107445 1900,5818:350:3,-180,-85.5,0,0,0.0107445 1901,5817:459:4,-179.5,-85.5,0,0,0.0107516 1902,5817:459:3,-179,-85.5,0,0,0.0107539 1903,5817:458:4,-178.5,-85.5,0,0,0.0107516 1904,5817:458:3,-178,-85.5,0,0,0.0107539 1905,5817:457:4,-177.5,-85.5,0,0,0.0107563 1906,5817:457:3,-177,-85.5,0,0,0.010761 1907,5817:456:4,-176.5,-85.5,0,0,0.0107634 1908,5817:456:3,-176,-85.5,0,0,0.0107634 1909,5817:455:4,-175.5,-85.5,0,0,0.0107657 1910,5817:455:3,-175,-85.5,0,0,0.0107657 1911,5817:354:4,-174.5,-85.5,0,0,0.010768 1912,5817:354:3,-174,-85.5,0,0,0.0107704 1913,5817:353:4,-173.5,-85.5,0,0,0.0107704 1914,5817:353:3,-173,-85.5,0,0,0.0107728 1915,5817:352:4,-172.5,-85.5,0,0,0.0107728 1916,5817:352:3,-172,-85.5,0,0,0.0107751 1917,5817:351:4,-171.5,-85.5,0,0,0.0107751 1918,5817:351:3,-171,-85.5,0,0,0.0107751 1919,5817:350:4,-170.5,-85.5,0,0,0.0107775 1920,5817:350:3,-170,-85.5,0,0,0.0107775 1921,5816:459:4,-169.5,-85.5,0,0,0.0107798 1922,5816:459:3,-169,-85.5,0,0,0.0107798 1923,5816:458:4,-168.5,-85.5,0,0,0.0107798 1924,5816:458:3,-168,-85.5,0,0,0.0107822 1925,5816:457:4,-167.5,-85.5,0,0,0.0107822 1926,5816:457:3,-167,-85.5,0,0,0.0107845 1927,5816:456:4,-166.5,-85.5,0,0,0.0107845 1928,5816:456:3,-166,-85.5,0,0,0.0107822 1929,5816:455:4,-165.5,-85.5,0,0,0.0107822 1930,5816:455:3,-165,-85.5,0,0,0.0107822 1931,5816:354:4,-164.5,-85.5,0,0,0.0107822 1932,5816:354:3,-164,-85.5,0,0,0.0107822 1933,5816:353:4,-163.5,-85.5,0,0,0.0107822 1934,5816:353:3,-163,-85.5,0,0,0.0107845 1935,5816:352:4,-162.5,-85.5,0,0,0.0107845 1936,5816:352:3,-162,-85.5,0,0,0.0107845 1937,5816:351:4,-161.5,-85.5,0,0,0.0107845 1938,5816:351:3,-161,-85.5,0,0,0.0107869 1939,5816:350:4,-160.5,-85.5,0,0,0.0107892 1940,5816:350:3,-160,-85.5,0,0,0.0107916 1941,5815:459:4,-159.5,-85.5,0,0,0.010794 1942,5815:459:3,-159,-85.5,0,0,0.010794 1943,5815:458:4,-158.5,-85.5,0,0,0.0107963 1944,5815:458:3,-158,-85.5,0,0,0.0107987 1945,5815:457:4,-157.5,-85.5,0,0,0.0107987 1946,5815:457:3,-157,-85.5,0,0,0.0107963 1947,5815:456:4,-156.5,-85.5,0,0,0.0107963 1948,5815:456:3,-156,-85.5,0,0,0.0107987 1949,5815:455:4,-155.5,-85.5,0,0,0.0108011 1950,5815:455:3,-155,-85.5,0,0,0.0108011 1951,5815:354:4,-154.5,-85.5,0,0,0.0107963 1952,5815:354:3,-154,-85.5,0,0,0.0107963 1953,5815:353:4,-153.5,-85.5,0,0,0.0107987 1954,5815:353:3,-153,-85.5,0,0,0.0108011 1955,5815:352:4,-152.5,-85.5,0,0,0.0108011 1956,5815:352:3,-152,-85.5,0,0,0.0107987 1957,5815:351:4,-151.5,-85.5,0,0,0.010794 1958,5815:351:3,-151,-85.5,0,0,0.010794 1959,5815:350:4,-150.5,-85.5,0,0,0.010794 1960,5815:350:3,-150,-85.5,0,0,0.010794 1961,5814:459:4,-149.5,-85.5,0,0,0.010794 1962,5814:459:3,-149,-85.5,0,0,0.0107916 1963,5814:458:4,-148.5,-85.5,0,0,0.0107916 1964,5814:458:3,-148,-85.5,0,0,0.0107916 1965,5814:457:4,-147.5,-85.5,0,0,0.0107916 1966,5814:457:3,-147,-85.5,0,0,0.0107892 1967,5814:456:4,-146.5,-85.5,0,0,0.0107892 1968,5814:456:3,-146,-85.5,0,0,0.0107869 1969,5814:455:4,-145.5,-85.5,0,0,0.0107869 1970,5814:455:3,-145,-85.5,0,0,0.0107869 1971,5814:354:4,-144.5,-85.5,0,0,0.0107845 1972,5814:354:3,-144,-85.5,0,0,0.0107845 1973,5814:353:4,-143.5,-85.5,0,0,0.0107845 1974,5814:353:3,-143,-85.5,0,0,0.0107869 1975,5814:352:4,-142.5,-85.5,0,0,0.0107869 1976,5814:352:3,-142,-85.5,0,0,0.0107845 1977,5814:351:4,-141.5,-85.5,0,0,0.0107822 1978,5814:351:3,-141,-85.5,0,0,0.0107845 1979,5814:350:4,-140.5,-85.5,0,0,0.0107845 1980,5814:350:3,-140,-85.5,0,0,0.0107869 1981,5813:459:4,-139.5,-85.5,0,0,0.0107869 1982,5813:459:3,-139,-85.5,0,0,0.0107869 1983,5813:458:4,-138.5,-85.5,0,0,0.0107869 1984,5813:458:3,-138,-85.5,0,0,0.0107892 1985,5813:457:4,-137.5,-85.5,0,0,0.0108011 1986,5813:457:3,-137,-85.5,0,0,0.0108365 1987,5813:456:4,-136.5,-85.5,0,0,0.0108911 1988,5813:456:3,-136,-85.5,0,0,0.011018 1989,5813:455:4,-135.5,-85.5,0,0,0.0114874 1990,5813:455:3,-135,-85.5,0,0,0.0116389 1991,5813:354:4,-134.5,-85.5,0,0,0.0116161 1992,5813:354:3,-134,-85.5,0,0,0.0117282 1993,5811:350:3,-110,-85.5,0,0,0.013678 1994,5810:459:4,-109.5,-85.5,0,0,0.0146717 1995,5810:459:3,-109,-85.5,0,0,0.0155562 1996,5810:458:4,-108.5,-85.5,0,0,0.015455 1997,5810:456:3,-106,-85.5,0,0,0.0110517 1998,5810:455:4,-105.5,-85.5,0,0,0.0109197 1999,5810:455:3,-105,-85.5,0,0,0.0108721 2000,5810:354:4,-104.5,-85.5,0,0,0.0109078 2001,5810:354:3,-104,-85.5,0,0,0.0113677 2002,5810:353:4,-103.5,-85.5,0,0,0.012233 2003,5810:353:3,-103,-85.5,0,0,0.0128372 2004,5810:352:4,-102.5,-85.5,0,0,0.0129807 2005,5806:351:4,-61.5,-85.5,0,0,0.0108768 2006,5806:351:3,-61,-85.5,0,0,0.0108626 2007,5806:350:4,-60.5,-85.5,0,0,0.010827 2008,5806:350:3,-60,-85.5,0,0,0.0108011 2009,5805:459:4,-59.5,-85.5,0,0,0.0107798 2010,5805:459:3,-59,-85.5,0,0,0.0107539 2011,5805:458:4,-58.5,-85.5,0,0,0.0107351 2012,5805:458:3,-58,-85.5,0,0,0.0107305 2013,5805:457:4,-57.5,-85.5,0,0,0.0107281 2014,5805:457:3,-57,-85.5,0,0,0.0107257 2015,5805:456:4,-56.5,-85.5,0,0,0.0107234 2016,5805:456:3,-56,-85.5,0,0,0.0107234 2017,5805:455:4,-55.5,-85.5,0,0,0.0107234 2018,5805:455:3,-55,-85.5,0,0,0.0107257 2019,5805:354:4,-54.5,-85.5,0,0,0.0107257 2020,5805:354:3,-54,-85.5,0,0,0.0107257 2021,5805:353:4,-53.5,-85.5,0,0,0.0107257 2022,5805:353:3,-53,-85.5,0,0,0.0107281 2023,5805:352:4,-52.5,-85.5,0,0,0.0107305 2024,5805:352:3,-52,-85.5,0,0,0.0107328 2025,5805:351:4,-51.5,-85.5,0,0,0.0107328 2026,5805:351:3,-51,-85.5,0,0,0.0107351 2027,5805:350:4,-50.5,-85.5,0,0,0.0107351 2028,5805:350:3,-50,-85.5,0,0,0.0107351 2029,5804:459:4,-49.5,-85.5,0,0,0.0107351 2030,5804:459:3,-49,-85.5,0,0,0.0107351 2031,5804:458:4,-48.5,-85.5,0,0,0.0107328 2032,5804:458:3,-48,-85.5,0,0,0.0107305 2033,5804:457:4,-47.5,-85.5,0,0,0.0107305 2034,5804:457:3,-47,-85.5,0,0,0.0107375 2035,5804:456:4,-46.5,-85.5,0,0,0.0107422 2036,5804:456:3,-46,-85.5,0,0,0.0107469 2037,5804:455:4,-45.5,-85.5,0,0,0.0107516 2038,5804:455:3,-45,-85.5,0,0,0.0107563 2039,5804:354:4,-44.5,-85.5,0,0,0.0107539 2040,5804:354:3,-44,-85.5,0,0,0.0107539 2041,5804:353:4,-43.5,-85.5,0,0,0.0107539 2042,5804:353:3,-43,-85.5,0,0,0.0107539 2043,5804:352:4,-42.5,-85.5,0,0,0.0107516 2044,5804:352:3,-42,-85.5,0,0,0.0107516 2045,5804:351:4,-41.5,-85.5,0,0,0.0107539 2046,5804:351:3,-41,-85.5,0,0,0.0107539 2047,5804:350:4,-40.5,-85.5,0,0,0.0107563 2048,5804:350:3,-40,-85.5,0,0,0.0107586 2049,5803:459:4,-39.5,-85.5,0,0,0.0107586 2050,5803:459:3,-39,-85.5,0,0,0.0107586 2051,5803:458:4,-38.5,-85.5,0,0,0.0107586 2052,5803:458:3,-38,-85.5,0,0,0.0107586 2053,5803:457:4,-37.5,-85.5,0,0,0.010761 2054,5803:457:3,-37,-85.5,0,0,0.0107586 2055,5803:456:4,-36.5,-85.5,0,0,0.0107586 2056,5803:456:3,-36,-85.5,0,0,0.0107586 2057,5803:455:4,-35.5,-85.5,0,0,0.0107586 2058,5803:455:3,-35,-85.5,0,0,0.010761 2059,5803:354:4,-34.5,-85.5,0,0,0.010761 2060,5803:354:3,-34,-85.5,0,0,0.0107586 2061,5803:353:4,-33.5,-85.5,0,0,0.0107586 2062,5803:353:3,-33,-85.5,0,0,0.0107586 2063,5803:352:4,-32.5,-85.5,0,0,0.010761 2064,5803:352:3,-32,-85.5,0,0,0.010761 2065,5803:351:4,-31.5,-85.5,0,0,0.010761 2066,5803:351:3,-31,-85.5,0,0,0.0107634 2067,5803:350:4,-30.5,-85.5,0,0,0.010761 2068,5803:350:3,-30,-85.5,0,0,0.0107634 2069,5802:459:4,-29.5,-85.5,0,0,0.0107657 2070,5802:459:3,-29,-85.5,0,0,0.0107634 2071,5802:458:4,-28.5,-85.5,0,0,0.010761 2072,5802:458:3,-28,-85.5,0,0,0.0107586 2073,5802:457:4,-27.5,-85.5,0,0,0.0107563 2074,5802:457:3,-27,-85.5,0,0,0.0107539 2075,5802:456:4,-26.5,-85.5,0,0,0.0108959 2076,5802:456:3,-26,-85.5,0,0,0.0111196 2077,5802:455:4,-25.5,-85.5,0,0,0.0110421 2078,5802:455:3,-25,-85.5,0,0,0.0109699 2079,5802:354:4,-24.5,-85.5,0,0,0.0114374 2080,5802:354:3,-24,-85.5,0,0,0.0120922 2081,3816:455:4,165.5,-85.5,0,0,0.010865 2082,3816:456:3,166,-85.5,0,0,0.0108294 2083,3816:456:4,166.5,-85.5,0,0,0.0107845 2084,3816:457:3,167,-85.5,0,0,0.010768 2085,3816:457:4,167.5,-85.5,0,0,0.0107563 2086,3816:458:3,168,-85.5,0,0,0.0107422 2087,3816:458:4,168.5,-85.5,0,0,0.0107257 2088,3816:459:3,169,-85.5,0,0,0.010714 2089,3816:459:4,169.5,-85.5,0,0,0.0107094 2090,3817:350:3,170,-85.5,0,0,0.0107117 2091,3817:350:4,170.5,-85.5,0,0,0.0107117 2092,3817:351:3,171,-85.5,0,0,0.010707 2093,3817:351:4,171.5,-85.5,0,0,0.0111976 2094,3817:352:3,172,-85.5,0,0,0.0127562 2095,3817:352:4,172.5,-85.5,0,0,0.0145699 2096,3817:353:3,173,-85.5,0,0,0.0154752 2097,3817:353:4,173.5,-85.5,0,0,0.0154517 2098,3817:354:3,174,-85.5,0,0,0.0153679 2099,3817:354:4,174.5,-85.5,0,0,0.0153144 2100,3817:455:3,175,-85.5,0,0,0.0152945 2101,3817:455:4,175.5,-85.5,0,0,0.0152082 2102,3817:456:3,176,-85.5,0,0,0.0148679 2103,3817:456:4,176.5,-85.5,0,0,0.0124023 2104,3817:457:3,177,-85.5,0,0,0.0108413 2105,3817:457:4,177.5,-85.5,0,0,0.010707 2106,3817:458:3,178,-85.5,0,0,0.0107094 2107,3817:458:4,178.5,-85.5,0,0,0.0107211 2108,3817:459:3,179,-85.5,0,0,0.0107305 2109,3817:459:4,179.5,-85.5,0,0,0.0107375 2110,3818:350:3,180,-85.5,0,0,0.0107445 2111,5818:350:1,-180,-85,0,0,0.0107445 2112,5817:459:2,-179.5,-85,0,0,0.0107516 2113,5817:459:1,-179,-85,0,0,0.0107539 2114,5817:458:2,-178.5,-85,0,0,0.0107516 2115,5817:458:1,-178,-85,0,0,0.0107539 2116,5817:457:2,-177.5,-85,0,0,0.0107563 2117,5817:457:1,-177,-85,0,0,0.010761 2118,5817:456:2,-176.5,-85,0,0,0.0107634 2119,5817:456:1,-176,-85,0,0,0.0107634 2120,5817:455:2,-175.5,-85,0,0,0.0107657 2121,5817:455:1,-175,-85,0,0,0.0107657 2122,5817:354:2,-174.5,-85,0,0,0.010768 2123,5817:354:1,-174,-85,0,0,0.0107704 2124,5817:353:2,-173.5,-85,0,0,0.0107704 2125,5817:353:1,-173,-85,0,0,0.0107728 2126,5817:352:2,-172.5,-85,0,0,0.0107728 2127,5817:352:1,-172,-85,0,0,0.0107751 2128,5817:351:2,-171.5,-85,0,0,0.0107751 2129,5817:351:1,-171,-85,0,0,0.0107751 2130,5817:350:2,-170.5,-85,0,0,0.0107775 2131,5817:350:1,-170,-85,0,0,0.0107775 2132,5816:459:2,-169.5,-85,0,0,0.0107798 2133,5816:459:1,-169,-85,0,0,0.0107798 2134,5816:458:2,-168.5,-85,0,0,0.0107798 2135,5816:458:1,-168,-85,0,0,0.0107822 2136,5816:457:2,-167.5,-85,0,0,0.0107822 2137,5816:457:1,-167,-85,0,0,0.0107845 2138,5816:456:2,-166.5,-85,0,0,0.0107845 2139,5816:456:1,-166,-85,0,0,0.0107822 2140,5816:455:2,-165.5,-85,0,0,0.0107822 2141,5816:455:1,-165,-85,0,0,0.0107822 2142,5816:354:2,-164.5,-85,0,0,0.0107822 2143,5816:354:1,-164,-85,0,0,0.0107822 2144,5816:353:2,-163.5,-85,0,0,0.0107822 2145,5816:353:1,-163,-85,0,0,0.0107845 2146,5816:352:2,-162.5,-85,0,0,0.0107845 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2172,5814:459:2,-149.5,-85,0,0,0.010794 2173,5814:459:1,-149,-85,0,0,0.0107916 2174,5814:458:2,-148.5,-85,0,0,0.0107916 2175,5814:458:1,-148,-85,0,0,0.0107916 2176,5814:457:2,-147.5,-85,0,0,0.0107916 2177,5814:457:1,-147,-85,0,0,0.0107892 2178,5814:456:2,-146.5,-85,0,0,0.0107892 2179,5814:456:1,-146,-85,0,0,0.0107869 2180,5814:455:2,-145.5,-85,0,0,0.0107869 2181,5814:455:1,-145,-85,0,0,0.0107869 2182,5814:354:2,-144.5,-85,0,0,0.0107845 2183,5814:354:1,-144,-85,0,0,0.0107845 2184,5814:353:2,-143.5,-85,0,0,0.0107845 2185,5814:353:1,-143,-85,0,0,0.0107869 2186,5814:352:2,-142.5,-85,0,0,0.0107869 2187,5814:352:1,-142,-85,0,0,0.0107845 2188,5814:351:2,-141.5,-85,0,0,0.0107822 2189,5814:351:1,-141,-85,0,0,0.0107845 2190,5814:350:2,-140.5,-85,0,0,0.0107845 2191,5814:350:1,-140,-85,0,0,0.0107869 2192,5813:459:2,-139.5,-85,0,0,0.0107869 2193,5813:459:1,-139,-85,0,0,0.0107869 2194,5813:458:2,-138.5,-85,0,0,0.0107869 2195,5813:458:1,-138,-85,0,0,0.0107892 2196,5813:457:2,-137.5,-85,0,0,0.0108011 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31941,5503:216:2,-36.5,-51,0,0,0.0135268 31942,5503:216:1,-36,-51,0,0,0.012734 31943,5503:215:2,-35.5,-51,0,0,0.0131374 31944,5503:215:1,-35,-51,0,0,0.0140986 31945,5503:114:2,-34.5,-51,0,0,0.0144153 31946,5503:114:1,-34,-51,0,0,0.0142313 31947,5503:113:2,-33.5,-51,0,0,0.0141972 31948,5503:113:1,-33,-51,0,0,0.014074 31949,5503:112:2,-32.5,-51,0,0,0.0135062 31950,5503:112:1,-32,-51,0,0,0.0130318 31951,5503:111:2,-31.5,-51,0,0,0.0130888 31952,5503:111:1,-31,-51,0,0,0.0130545 31953,5503:110:2,-30.5,-51,0,0,0.0126786 31954,5503:110:1,-30,-51,0,0,0.0125602 31955,5502:219:2,-29.5,-51,0,0,0.0127813 31956,5502:219:1,-29,-51,0,0,0.0127813 31957,5502:218:2,-28.5,-51,0,0,0.0122249 31958,5502:218:1,-28,-51,0,0,0.0117641 31959,5502:217:2,-27.5,-51,0,0,0.011759 31960,5502:217:1,-27,-51,0,0,0.0116797 31961,5502:216:2,-26.5,-51,0,0,0.0117693 31962,5502:216:1,-26,-51,0,0,0.011695 31963,5502:215:2,-25.5,-51,0,0,0.0116161 31964,5502:215:1,-25,-51,0,0,0.0119531 31965,5502:114:2,-24.5,-51,0,0,0.0136452 31966,5502:114:1,-24,-51,0,0,0.0155867 31967,5502:113:2,-23.5,-51,0,0,0.0164001 31968,5502:113:1,-23,-51,0,0,0.0162017 31969,5502:112:2,-22.5,-51,0,0,0.0160092 31970,5502:112:1,-22,-51,0,0,0.0158878 31971,5502:111:2,-21.5,-51,0,0,0.0155867 31972,5502:111:1,-21,-51,0,0,0.014643 31973,5502:110:2,-20.5,-51,0,0,0.0132496 31974,5502:110:1,-20,-51,0,0,0.0131891 31975,5501:219:2,-19.5,-51,0,0,0.0135121 31976,5501:219:1,-19,-51,0,0,0.0135711 31977,5501:218:2,-18.5,-51,0,0,0.0135121 31978,5501:218:1,-18,-51,0,0,0.0134152 31979,5501:217:2,-17.5,-51,0,0,0.0131231 31980,5501:217:1,-17,-51,0,0,0.0126261 31981,5501:216:2,-16.5,-51,0,0,0.0122436 31982,5501:216:1,-16,-51,0,0,0.0119897 31983,5501:215:2,-15.5,-51,0,0,0.0118985 31984,5501:215:1,-15,-51,0,0,0.0119427 31985,5501:114:2,-14.5,-51,0,0,0.0119845 31986,5501:114:1,-14,-51,0,0,0.0120343 31987,5501:113:2,-13.5,-51,0,0,0.0122516 31988,5501:113:1,-13,-51,0,0,0.012386 31989,5501:112:2,-12.5,-51,0,0,0.012541 31990,5501:112:1,-12,-51,0,0,0.0126261 31991,5501:111:2,-11.5,-51,0,0,0.0126151 31992,5501:111:1,-11,-51,0,0,0.0124782 31993,5501:110:2,-10.5,-51,0,0,0.0122462 31994,5501:110:1,-10,-51,0,0,0.0120343 31995,5500:219:2,-9.5,-51,0,0,0.0120949 31996,5500:219:1,-9,-51,0,0,0.012233 31997,5500:218:2,-8.5,-51,0,0,0.0123294 31998,5500:218:1,-8,-51,0,0,0.0123942 31999,5500:217:2,-7.5,-51,0,0,0.0122972 32000,5500:217:1,-7,-51,0,0,0.0123429 32001,5500:216:2,-6.5,-51,0,0,0.0124239 32002,5500:216:1,-6,-51,0,0,0.0116288 32003,5500:215:2,-5.5,-51,0,0,0.0114323 32004,5500:215:1,-5,-51,0,0,0.0114574 32005,5500:114:2,-4.5,-51,0,0,0.0111366 32006,5500:114:1,-4,-51,0,0,0.0109603 32007,5500:113:2,-3.5,-51,0,0,0.0109221 32008,5500:113:1,-3,-51,0,0,0.0109126 32009,5500:112:2,-2.5,-51,0,0,0.0108982 32010,5500:112:1,-2,-51,0,0,0.0108887 32011,5500:111:2,-1.5,-51,0,0,0.0108246 32012,5500:111:1,-1,-51,0,0,0.0107916 32013,5500:110:2,-0.5,-51,0,0,0.0107469 32014,3500:110:2,0,-51,0,0,0.010714 32015,3500:110:2,0.5,-51,0,0,0.0107024 32016,3500:111:1,1,-51,0,0,0.0106907 32017,3500:111:2,1.5,-51,0,0,0.0106977 32018,3500:112:1,2,-51,0,0,0.0107211 32019,3500:112:2,2.5,-51,0,0,0.0108483 32020,3500:113:1,3,-51,0,0,0.0109316 32021,3500:113:2,3.5,-51,0,0,0.0109652 32022,3500:114:1,4,-51,0,0,0.0109627 32023,3500:114:2,4.5,-51,0,0,0.0109484 32024,3500:215:1,5,-51,0,0,0.0109197 32025,3500:215:2,5.5,-51,0,0,0.0108816 32026,3500:216:1,6,-51,0,0,0.0108246 32027,3500:216:2,6.5,-51,0,0,0.010768 32028,3500:217:1,7,-51,0,0,0.0107351 32029,3500:217:2,7.5,-51,0,0,0.0107328 32030,3500:218:1,8,-51,0,0,0.0107492 32031,3500:218:2,8.5,-51,0,0,0.0107751 32032,3500:219:1,9,-51,0,0,0.0107751 32033,3500:219:2,9.5,-51,0,0,0.0107257 32034,3501:110:1,10,-51,0,0,0.0106977 32035,3501:110:2,10.5,-51,0,0,0.010686 32036,3501:111:1,11,-51,0,0,0.0106813 32037,3501:111:2,11.5,-51,0,0,0.010686 32038,3501:112:1,12,-51,0,0,0.0106883 32039,3501:112:2,12.5,-51,0,0,0.0106953 32040,3501:113:1,13,-51,0,0,0.0107 32041,3501:113:2,13.5,-51,0,0,0.010707 32042,3501:114:1,14,-51,0,0,0.010714 32043,3501:114:2,14.5,-51,0,0,0.0107117 32044,3501:215:1,15,-51,0,0,0.0107047 32045,3501:215:2,15.5,-51,0,0,0.0107024 32046,3501:216:1,16,-51,0,0,0.0107024 32047,3501:216:2,16.5,-51,0,0,0.0107024 32048,3501:217:1,17,-51,0,0,0.0106953 32049,3501:217:2,17.5,-51,0,0,0.010693 32050,3501:218:1,18,-51,0,0,0.0106907 32051,3501:218:2,18.5,-51,0,0,0.0106907 32052,3501:219:1,19,-51,0,0,0.0106883 32053,3501:219:2,19.5,-51,0,0,0.010686 32054,3502:110:1,20,-51,0,0,0.010679 32055,3502:110:2,20.5,-51,0,0,0.0107211 32056,3502:111:1,21,-51,0,0,0.0107422 32057,3502:111:2,21.5,-51,0,0,0.0107375 32058,3502:112:1,22,-51,0,0,0.0107234 32059,3502:112:2,22.5,-51,0,0,0.0107211 32060,3502:113:1,23,-51,0,0,0.0106953 32061,3502:113:2,23.5,-51,0,0,0.010693 32062,3502:114:1,24,-51,0,0,0.0107 32063,3502:114:2,24.5,-51,0,0,0.0107328 32064,3502:215:1,25,-51,0,0,0.0107375 32065,3502:215:2,25.5,-51,0,0,0.0107728 32066,3502:216:1,26,-51,0,0,0.0107822 32067,3502:216:2,26.5,-51,0,0,0.0108199 32068,3502:217:1,27,-51,0,0,0.0107916 32069,3502:217:2,27.5,-51,0,0,0.0107657 32070,3502:218:1,28,-51,0,0,0.0107257 32071,3502:218:2,28.5,-51,0,0,0.0107728 32072,3502:219:1,29,-51,0,0,0.0107539 32073,3502:219:2,29.5,-51,0,0,0.0107516 32074,3503:110:1,30,-51,0,0,0.0107586 32075,3503:110:2,30.5,-51,0,0,0.0107987 32076,3503:111:1,31,-51,0,0,0.0108246 32077,3503:111:2,31.5,-51,0,0,0.0108105 32078,3503:112:1,32,-51,0,0,0.010768 32079,3503:112:2,32.5,-51,0,0,0.0107728 32080,3503:113:1,33,-51,0,0,0.0108152 32081,3503:113:2,33.5,-51,0,0,0.0109699 32082,3503:114:1,34,-51,0,0,0.0111976 32083,3503:114:2,34.5,-51,0,0,0.0114724 32084,3503:215:1,35,-51,0,0,0.011857 32085,3503:215:2,35.5,-51,0,0,0.0119245 32086,3503:216:1,36,-51,0,0,0.0115629 32087,3503:216:2,36.5,-51,0,0,0.0113627 32088,3503:217:1,37,-51,0,0,0.011006 32089,3503:217:2,37.5,-51,0,0,0.0111951 32090,3503:218:1,38,-51,0,0,0.0116669 32091,3503:218:2,38.5,-51,0,0,0.0115908 32092,3503:219:1,39,-51,0,0,0.011328 32093,3503:219:2,39.5,-51,0,0,0.0113107 32094,3504:110:1,40,-51,0,0,0.0114899 32095,3504:110:2,40.5,-51,0,0,0.0116415 32096,3504:111:1,41,-51,0,0,0.0117155 32097,3504:111:2,41.5,-51,0,0,0.0117462 32098,3504:112:1,42,-51,0,0,0.011777 32099,3504:112:2,42.5,-51,0,0,0.0117847 32100,3504:113:1,43,-51,0,0,0.011777 32101,3504:113:2,43.5,-51,0,0,0.0117385 32102,3504:114:1,44,-51,0,0,0.0116364 32103,3504:114:2,44.5,-51,0,0,0.0115025 32104,3504:215:1,45,-51,0,0,0.0114074 32105,3504:215:2,45.5,-51,0,0,0.0114199 32106,3504:216:1,46,-51,0,0,0.0114799 32107,3504:216:2,46.5,-51,0,0,0.0115427 32108,3504:217:1,47,-51,0,0,0.0116975 32109,3504:217:2,47.5,-51,0,0,0.0117027 32110,3504:218:1,48,-51,0,0,0.0115857 32111,3504:218:2,48.5,-51,0,0,0.0114674 32112,3504:219:1,49,-51,0,0,0.0112885 32113,3504:219:2,49.5,-51,0,0,0.0112049 32114,3505:110:1,50,-51,0,0,0.0112885 32115,3505:110:2,50.5,-51,0,0,0.0110348 32116,3505:111:1,51,-51,0,0,0.0110301 32117,3505:111:2,51.5,-51,0,0,0.0112515 32118,3505:112:1,52,-51,0,0,0.0114899 32119,3505:112:2,52.5,-51,0,0,0.0117899 32120,3505:113:1,53,-51,0,0,0.0121187 32121,3505:113:2,53.5,-51,0,0,0.0113602 32122,3505:114:1,54,-51,0,0,0.0110204 32123,3505:114:2,54.5,-51,0,0,0.0111658 32124,3505:215:1,55,-51,0,0,0.0115882 32125,3505:215:2,55.5,-51,0,0,0.0115176 32126,3505:216:1,56,-51,0,0,0.0111634 32127,3505:216:2,56.5,-51,0,0,0.0110397 32128,3505:217:1,57,-51,0,0,0.0109627 32129,3505:217:2,57.5,-51,0,0,0.0111196 32130,3505:218:1,58,-51,0,0,0.0116975 32131,3505:218:2,58.5,-51,0,0,0.0124565 32132,3505:219:1,59,-51,0,0,0.0140832 32133,3505:219:2,59.5,-51,0,0,0.0131173 32134,3506:110:1,60,-51,0,0,0.0120737 32135,3506:110:2,60.5,-51,0,0,0.0121903 32136,3506:111:1,61,-51,0,0,0.0136661 32137,3506:111:2,61.5,-51,0,0,0.0140587 32138,3506:112:1,62,-51,0,0,0.0134592 32139,3506:112:2,62.5,-51,0,0,0.0123752 32140,3506:113:1,63,-51,0,0,0.0118182 32141,3506:113:2,63.5,-51,0,0,0.0119871 32142,3506:114:1,64,-51,0,0,0.0131145 32143,3506:114:2,64.5,-51,0,0,0.0147486 32144,3506:215:1,65,-51,0,0,0.0152248 32145,3506:215:2,65.5,-51,0,0,0.0154517 32146,3506:216:1,66,-51,0,0,0.0154483 32147,3506:216:2,66.5,-51,0,0,0.015106 32148,3506:217:1,67,-51,0,0,0.0145857 32149,3506:217:2,67.5,-51,0,0,0.0144498 32150,3506:218:1,68,-51,0,0,0.0150895 32151,3506:218:2,68.5,-51,0,0,0.0155089 32152,3506:219:1,69,-51,0,0,0.0155021 32153,3506:219:2,69.5,-51,0,0,0.015455 32154,3507:110:1,70,-51,0,0,0.0156784 32155,3507:110:2,70.5,-51,0,0,0.016121 32156,3507:111:1,71,-51,0,0,0.016468 32157,3507:111:2,71.5,-51,0,0,0.0149392 32158,3507:112:1,72,-51,0,0,0.0135889 32159,3507:112:2,72.5,-51,0,0,0.0131833 32160,3507:113:2,73.5,-51,0,0,0.0127506 32161,3507:114:1,74,-51,0,0,0.0125055 32162,3507:114:2,74.5,-51,0,0,0.0123698 32163,3507:215:1,75,-51,0,0,0.012273 32164,3507:215:2,75.5,-51,0,0,0.0122115 32165,3507:216:1,76,-51,0,0,0.0121187 32166,3507:216:2,76.5,-51,0,0,0.0121319 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41987,5402:248:2,-28.5,-44,0,0,0.0264056 41988,5402:248:1,-28,-44,0,0,0.0254845 41989,5402:247:2,-27.5,-44,0,0,0.0242629 41990,5402:247:1,-27,-44,0,0,0.0230985 41991,5402:246:2,-26.5,-44,0,0,0.0221746 41992,5402:246:1,-26,-44,0,0,0.021621 41993,5402:245:2,-25.5,-44,0,0,0.0216631 41994,5402:245:1,-25,-44,0,0,0.0235361 41995,5402:144:2,-24.5,-44,0,0,0.0267025 41996,5402:144:1,-24,-44,0,0,0.0270668 41997,5402:143:2,-23.5,-44,0,0,0.0258825 41998,5402:143:1,-23,-44,0,0,0.0243834 41999,5402:142:2,-22.5,-44,0,0,0.0236992 42000,5402:142:1,-22,-44,0,0,0.0239303 42001,5402:141:2,-21.5,-44,0,0,0.0248343 42002,5402:141:1,-21,-44,0,0,0.026281 42003,5402:140:2,-20.5,-44,0,0,0.0273651 42004,5402:140:1,-20,-44,0,0,0.0273416 42005,5401:249:2,-19.5,-44,0,0,0.0264739 42006,5401:249:1,-19,-44,0,0,0.0253749 42007,5401:248:2,-18.5,-44,0,0,0.0244203 42008,5401:248:1,-18,-44,0,0,0.024096 42009,5401:247:2,-17.5,-44,0,0,0.0255724 42010,5401:247:1,-17,-44,0,0,0.0276131 42011,5401:246:2,-16.5,-44,0,0,0.0281401 42012,5401:246:1,-16,-44,0,0,0.0272887 42013,5401:245:2,-15.5,-44,0,0,0.025512 42014,5401:245:1,-15,-44,0,0,0.024963 42015,5401:144:2,-14.5,-44,0,0,0.0255668 42016,5401:144:1,-14,-44,0,0,0.0262076 42017,5401:143:2,-13.5,-44,0,0,0.0274948 42018,5401:143:1,-13,-44,0,0,0.0280736 42019,5401:142:2,-12.5,-44,0,0,0.0283158 42020,5401:142:1,-12,-44,0,0,0.028243 42021,5401:141:2,-11.5,-44,0,0,0.0262583 42022,5401:141:1,-11,-44,0,0,0.0254626 42023,5401:140:2,-10.5,-44,0,0,0.0233389 42024,5401:140:1,-10,-44,0,0,0.0232987 42025,5400:249:2,-9.5,-44,0,0,0.0232887 42026,5400:249:1,-9,-44,0,0,0.0232686 42027,5400:248:2,-8.5,-44,0,0,0.0232485 42028,5400:248:1,-8,-44,0,0,0.0231683 42029,5400:247:2,-7.5,-44,0,0,0.0228751 42030,5400:247:1,-7,-44,0,0,0.022146 42031,5400:246:2,-6.5,-44,0,0,0.0205852 42032,5400:246:1,-6,-44,0,0,0.0189383 42033,5400:245:2,-5.5,-44,0,0,0.0182056 42034,5400:245:1,-5,-44,0,0,0.0178806 42035,5400:144:2,-4.5,-44,0,0,0.0178806 42036,5400:144:1,-4,-44,0,0,0.0177878 42037,5400:143:2,-3.5,-44,0,0,0.0176838 42038,5400:143:1,-3,-44,0,0,0.0175882 42039,5400:142:2,-2.5,-44,0,0,0.0172815 42040,5400:142:1,-2,-44,0,0,0.0169618 42041,5400:141:2,-1.5,-44,0,0,0.0168151 42042,5400:141:1,-1,-44,0,0,0.0165289 42043,5400:140:2,-0.5,-44,0,0,0.0163504 42044,3400:140:2,0,-44,0,0,0.0164144 42045,3400:140:2,0.5,-44,0,0,0.0165541 42046,3400:141:1,1,-44,0,0,0.0167131 42047,3400:141:2,1.5,-44,0,0,0.0168662 42048,3400:142:1,2,-44,0,0,0.0164823 42049,3400:142:2,2.5,-44,0,0,0.0153645 42050,3400:143:1,3,-44,0,0,0.0150273 42051,3400:143:2,3.5,-44,0,0,0.0152049 42052,3400:144:1,4,-44,0,0,0.0151289 42053,3400:144:2,4.5,-44,0,0,0.0147583 42054,3400:245:1,5,-44,0,0,0.014624 42055,3400:245:2,5.5,-44,0,0,0.0146813 42056,3400:246:1,6,-44,0,0,0.0144404 42057,3400:246:2,6.5,-44,0,0,0.0144121 42058,3400:247:1,7,-44,0,0,0.0143839 42059,3400:247:2,7.5,-44,0,0,0.014362 42060,3400:248:1,8,-44,0,0,0.0143464 42061,3400:248:2,8.5,-44,0,0,0.0142126 42062,3400:249:1,9,-44,0,0,0.0143089 42063,3400:249:2,9.5,-44,0,0,0.0154819 42064,3401:140:1,10,-44,0,0,0.0159328 42065,3401:140:2,10.5,-44,0,0,0.0150731 42066,3401:141:1,11,-44,0,0,0.0143307 42067,3401:141:2,11.5,-44,0,0,0.0142374 42068,3401:142:1,12,-44,0,0,0.0141478 42069,3401:142:2,12.5,-44,0,0,0.0140986 42070,3401:143:1,13,-44,0,0,0.0141416 42071,3401:143:2,13.5,-44,0,0,0.0142095 42072,3401:144:1,14,-44,0,0,0.014362 42073,3401:144:2,14.5,-44,0,0,0.0143807 42074,3401:245:1,15,-44,0,0,0.0143589 42075,3401:245:2,15.5,-44,0,0,0.0145224 42076,3401:246:1,16,-44,0,0,0.0145857 42077,3401:246:2,16.5,-44,0,0,0.0145667 42078,3401:247:1,17,-44,0,0,0.0145921 42079,3401:247:2,17.5,-44,0,0,0.0146717 42080,3401:248:1,18,-44,0,0,0.0148097 42081,3401:248:2,18.5,-44,0,0,0.014962 42082,3401:249:1,19,-44,0,0,0.0151191 42083,3401:249:2,19.5,-44,0,0,0.0152812 42084,3402:140:1,20,-44,0,0,0.0154954 42085,3402:140:2,20.5,-44,0,0,0.0156376 42086,3402:141:1,21,-44,0,0,0.0157092 42087,3402:141:2,21.5,-44,0,0,0.0158017 42088,3402:142:1,22,-44,0,0,0.0156104 42089,3402:142:2,22.5,-44,0,0,0.0155393 42090,3402:143:1,23,-44,0,0,0.0153578 42091,3402:143:2,23.5,-44,0,0,0.0149946 42092,3402:144:1,24,-44,0,0,0.0146782 42093,3402:144:2,24.5,-44,0,0,0.0145635 42094,3402:245:1,25,-44,0,0,0.0145762 42095,3402:245:2,25.5,-44,0,0,0.015546 42096,3402:246:1,26,-44,0,0,0.0190453 42097,3402:246:2,26.5,-44,0,0,0.0208092 42098,3402:247:1,27,-44,0,0,0.021621 42099,3402:247:2,27.5,-44,0,0,0.021621 42100,3402:248:1,28,-44,0,0,0.0207328 42101,3402:248:2,28.5,-44,0,0,0.0179739 42102,3402:249:1,29,-44,0,0,0.0166623 42103,3402:249:2,29.5,-44,0,0,0.0181306 42104,3403:140:1,30,-44,0,0,0.0197857 42105,3403:140:2,30.5,-44,0,0,0.0200271 42106,3403:141:1,31,-44,0,0,0.0192612 42107,3403:141:2,31.5,-44,0,0,0.0197087 42108,3403:142:1,32,-44,0,0,0.0191904 42109,3403:142:2,32.5,-44,0,0,0.0180953 42110,3403:143:1,33,-44,0,0,0.0176379 42111,3403:143:2,33.5,-44,0,0,0.0183482 42112,3403:144:1,34,-44,0,0,0.0195091 42113,3403:144:2,34.5,-44,0,0,0.0202845 42114,3403:245:1,35,-44,0,0,0.0206298 42115,3403:245:2,35.5,-44,0,0,0.0207866 42116,3403:246:1,36,-44,0,0,0.0203813 42117,3403:246:2,36.5,-44,0,0,0.0201969 42118,3403:247:1,37,-44,0,0,0.0207462 42119,3403:247:2,37.5,-44,0,0,0.0212733 42120,3403:248:1,38,-44,0,0,0.0216631 42121,3403:248:2,38.5,-44,0,0,0.0216444 42122,3403:249:1,39,-44,0,0,0.0214627 42123,3403:249:2,39.5,-44,0,0,0.0210172 42124,3404:140:1,40,-44,0,0,0.0204874 42125,3404:140:2,40.5,-44,0,0,0.0204564 42126,3404:141:1,41,-44,0,0,0.0204829 42127,3404:141:2,41.5,-44,0,0,0.0204166 42128,3404:142:1,42,-44,0,0,0.0202362 42129,3404:142:2,42.5,-44,0,0,0.0199577 42130,3404:143:1,43,-44,0,0,0.0196447 42131,3404:143:2,43.5,-44,0,0,0.0195302 42132,3404:144:1,44,-44,0,0,0.0197171 42133,3404:144:2,44.5,-44,0,0,0.0197942 42134,3404:245:1,45,-44,0,0,0.0197814 42135,3404:245:2,45.5,-44,0,0,0.0197257 42136,3404:246:1,46,-44,0,0,0.0198415 42137,3404:246:2,46.5,-44,0,0,0.0205318 42138,3404:247:1,47,-44,0,0,0.0212457 42139,3404:247:2,47.5,-44,0,0,0.0208001 42140,3404:248:1,48,-44,0,0,0.0199535 42141,3404:248:2,48.5,-44,0,0,0.019713 42142,3404:249:1,49,-44,0,0,0.020302 42143,3404:249:2,49.5,-44,0,0,0.0213378 42144,3405:140:1,50,-44,0,0,0.0218701 42145,3405:140:2,50.5,-44,0,0,0.0212043 42146,3405:141:1,51,-44,0,0,0.0204077 42147,3405:141:2,51.5,-44,0,0,0.0204919 42148,3405:142:1,52,-44,0,0,0.0207507 42149,3405:142:2,52.5,-44,0,0,0.0208272 42150,3405:143:1,53,-44,0,0,0.0214024 42151,3405:143:2,53.5,-44,0,0,0.0224688 42152,3405:144:1,54,-44,0,0,0.0227471 42153,3405:144:2,54.5,-44,0,0,0.0226296 42154,3405:245:1,55,-44,0,0,0.0229841 42155,3405:245:2,55.5,-44,0,0,0.0227176 42156,3405:246:1,56,-44,0,0,0.0216725 42157,3405:246:2,56.5,-44,0,0,0.0205807 42158,3405:247:1,57,-44,0,0,0.0202186 42159,3405:247:2,57.5,-44,0,0,0.0208001 42160,3405:248:1,58,-44,0,0,0.021607 42161,3405:248:2,58.5,-44,0,0,0.0227864 42162,3405:249:1,59,-44,0,0,0.0229147 42163,3405:249:2,59.5,-44,0,0,0.0224107 42164,3406:140:1,60,-44,0,0,0.0220458 42165,3406:140:2,60.5,-44,0,0,0.02206 42166,3406:141:1,61,-44,0,0,0.0221795 42167,3406:141:2,61.5,-44,0,0,0.0220458 42168,3406:142:1,62,-44,0,0,0.021757 42169,3406:142:2,62.5,-44,0,0,0.0219175 42170,3406:143:1,63,-44,0,0,0.0226247 42171,3406:143:2,63.5,-44,0,0,0.0234399 42172,3406:144:1,64,-44,0,0,0.0238994 42173,3406:144:2,64.5,-44,0,0,0.0236481 42174,3406:245:1,65,-44,0,0,0.0231433 42175,3406:245:2,65.5,-44,0,0,0.0230138 42176,3406:246:1,66,-44,0,0,0.0234146 42177,3406:246:2,66.5,-44,0,0,0.0238994 42178,3406:247:1,67,-44,0,0,0.0241689 42179,3406:247:2,67.5,-44,0,0,0.0243204 42180,3406:248:1,68,-44,0,0,0.0242262 42181,3406:248:2,68.5,-44,0,0,0.0233692 42182,3406:249:1,69,-44,0,0,0.022532 42183,3406:249:2,69.5,-44,0,0,0.0223092 42184,3407:140:1,70,-44,0,0,0.0220743 42185,3407:140:2,70.5,-44,0,0,0.0215744 42186,3407:141:1,71,-44,0,0,0.021081 42187,3407:141:2,71.5,-44,0,0,0.0207147 42188,3407:142:1,72,-44,0,0,0.020612 42189,3407:142:2,72.5,-44,0,0,0.020661 42190,3407:143:2,73.5,-44,0,0,0.0207372 42191,3407:144:1,74,-44,0,0,0.0207596 42192,3407:144:2,74.5,-44,0,0,0.0206968 42193,3407:245:1,75,-44,0,0,0.0207058 42194,3407:245:2,75.5,-44,0,0,0.0207687 42195,3407:246:1,76,-44,0,0,0.0209536 42196,3407:246:2,76.5,-44,0,0,0.021186 42197,3407:247:1,77,-44,0,0,0.0210172 42198,3407:247:2,77.5,-44,0,0,0.02028 42199,3407:248:1,78,-44,0,0,0.0194078 42200,3407:248:2,78.5,-44,0,0,0.0183443 42201,3407:249:1,79,-44,0,0,0.0160929 42202,3407:249:2,79.5,-44,0,0,0.0157742 42203,3408:140:1,80,-44,0,0,0.0161841 42204,3408:140:2,80.5,-44,0,0,0.016107 42205,3408:141:1,81,-44,0,0,0.016058 42206,3408:141:2,81.5,-44,0,0,0.0160895 42207,3408:142:1,82,-44,0,0,0.0160301 42208,3408:142:2,82.5,-44,0,0,0.0179506 42209,3408:143:1,83,-44,0,0,0.0212043 42210,3408:143:2,83.5,-44,0,0,0.0240805 42211,3408:144:1,84,-44,0,0,0.0264967 42212,3408:144:2,84.5,-44,0,0,0.0264056 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51957,3301:478:1,18,-37,0,0,0.0516551 51958,3301:478:2,18.5,-37,0,0,0.0512563 51959,3301:479:1,19,-37,0,0,0.0485439 51960,3301:479:2,19.5,-37,0,0,0.0502767 51961,3302:370:1,20,-37,0,0,0.0537284 51962,3302:370:2,20.5,-37,0,0,0.0563597 51963,3302:371:1,21,-37,0,0,0.0590623 51964,3302:371:2,21.5,-37,0,0,0.0616304 51965,3302:372:1,22,-37,0,0,0.0637068 51966,3302:372:2,22.5,-37,0,0,0.0632994 51967,3302:373:1,23,-37,0,0,0.0636803 51968,3302:373:2,23.5,-37,0,0,0.0657393 51969,3302:374:1,24,-37,0,0,0.0698577 51970,3302:374:2,24.5,-37,0,0,0.0722342 51971,3302:475:1,25,-37,0,0,0.0715266 51972,3302:475:2,25.5,-37,0,0,0.0679164 51973,3302:476:1,26,-37,0,0,0.0688735 51974,3302:476:2,26.5,-37,0,0,0.0651989 51975,3302:477:1,27,-37,0,0,0.0560549 51976,3302:477:2,27.5,-37,0,0,0.0531137 51977,3302:478:1,28,-37,0,0,0.0551152 51978,3302:478:2,28.5,-37,0,0,0.0581967 51979,3302:479:1,29,-37,0,0,0.0669711 51980,3302:479:2,29.5,-37,0,0,0.0863103 51981,3303:370:1,30,-37,0,0,0.0800779 51982,3303:370:2,30.5,-37,0,0,0.0787372 51983,3303:371:1,31,-37,0,0,0.0798338 51984,3303:371:2,31.5,-37,0,0,0.0799801 51985,3303:372:1,32,-37,0,0,0.0786092 51986,3303:372:2,32.5,-37,0,0,0.0768981 51987,3303:373:1,33,-37,0,0,0.0747159 51988,3303:373:2,33.5,-37,0,0,0.0728439 51989,3303:374:1,34,-37,0,0,0.07055 51990,3303:374:2,34.5,-37,0,0,0.0673729 51991,3303:475:1,35,-37,0,0,0.0634043 51992,3303:475:2,35.5,-37,0,0,0.0602396 51993,3303:476:1,36,-37,0,0,0.0586708 51994,3303:476:2,36.5,-37,0,0,0.0590503 51995,3303:477:1,37,-37,0,0,0.0615794 51996,3303:477:2,37.5,-37,0,0,0.0611212 51997,3303:478:1,38,-37,0,0,0.0606539 51998,3303:478:2,38.5,-37,0,0,0.0577383 51999,3303:479:1,39,-37,0,0,0.0557748 52000,3303:479:2,39.5,-37,0,0,0.0540436 52001,3304:370:1,40,-37,0,0,0.0521335 52002,3304:370:2,40.5,-37,0,0,0.051807 52003,3304:371:1,41,-37,0,0,0.054123 52004,3304:371:2,41.5,-37,0,0,0.0585488 52005,3304:372:1,42,-37,0,0,0.0648627 52006,3304:372:2,42.5,-37,0,0,0.0668335 52007,3304:373:1,43,-37,0,0,0.0646223 52008,3304:373:2,43.5,-37,0,0,0.0646487 52009,3304:374:1,44,-37,0,0,0.065401 52010,3304:374:2,44.5,-37,0,0,0.064037 52011,3304:475:1,45,-37,0,0,0.0617968 52012,3304:475:2,45.5,-37,0,0,0.0602022 52013,3304:476:1,46,-37,0,0,0.0589152 52014,3304:476:2,46.5,-37,0,0,0.05714 52015,3304:477:1,47,-37,0,0,0.055104 52016,3304:477:2,47.5,-37,0,0,0.0520027 52017,3304:478:1,48,-37,0,0,0.0482183 52018,3304:478:2,48.5,-37,0,0,0.045352 52019,3304:479:1,49,-37,0,0,0.0441245 52020,3304:479:2,49.5,-37,0,0,0.0446683 52021,3305:370:1,50,-37,0,0,0.0446775 52022,3305:370:2,50.5,-37,0,0,0.0450088 52023,3305:371:1,51,-37,0,0,0.0454285 52024,3305:371:2,51.5,-37,0,0,0.045352 52025,3305:372:1,52,-37,0,0,0.0442552 52026,3305:372:2,52.5,-37,0,0,0.0427477 52027,3305:373:1,53,-37,0,0,0.0415699 52028,3305:373:2,53.5,-37,0,0,0.0418881 52029,3305:374:1,54,-37,0,0,0.0480462 52030,3305:374:2,54.5,-37,0,0,0.0561485 52031,3305:475:1,55,-37,0,0,0.0595679 52032,3305:475:2,55.5,-37,0,0,0.0618222 52033,3305:476:1,56,-37,0,0,0.053292 52034,3305:476:2,56.5,-37,0,0,0.0460942 52035,3305:477:1,57,-37,0,0,0.0483707 52036,3305:477:2,57.5,-37,0,0,0.0498774 52037,3305:478:1,58,-37,0,0,0.0490154 52038,3305:478:2,58.5,-37,0,0,0.0503508 52039,3305:479:1,59,-37,0,0,0.0544859 52040,3305:479:2,59.5,-37,0,0,0.0604778 52041,3306:370:1,60,-37,0,0,0.0660115 52042,3306:370:2,60.5,-37,0,0,0.0746087 52043,3306:371:1,61,-37,0,0,0.0852533 52044,3306:371:2,61.5,-37,0,0,0.0831071 52045,3306:372:1,62,-37,0,0,0.0519263 52046,3306:372:2,62.5,-37,0,0,0.0421728 52047,3306:373:1,63,-37,0,0,0.0419769 52048,3306:373:2,63.5,-37,0,0,0.0451897 52049,3306:374:1,64,-37,0,0,0.048595 52050,3306:374:2,64.5,-37,0,0,0.0471746 52051,3306:475:1,65,-37,0,0,0.0379939 52052,3306:475:2,65.5,-37,0,0,0.0377524 52053,3306:476:1,66,-37,0,0,0.0467891 52054,3306:476:2,66.5,-37,0,0,0.0477038 52055,3306:477:1,67,-37,0,0,0.0454669 52056,3306:477:2,67.5,-37,0,0,0.0444144 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91950,5015:134:3,-154,-3.5,0,0,0.30716 91951,5015:133:4,-153.5,-3.5,0,0,0.293409 91952,5015:133:3,-153,-3.5,0,0,0.283267 91953,5015:132:4,-152.5,-3.5,0,0,0.272854 91954,5015:132:3,-152,-3.5,0,0,0.263328 91955,5015:131:4,-151.5,-3.5,0,0,0.254928 91956,5015:131:3,-151,-3.5,0,0,0.249459 91957,5015:130:4,-150.5,-3.5,0,0,0.247524 91958,5015:130:3,-150,-3.5,0,0,0.245085 91959,5014:239:4,-149.5,-3.5,0,0,0.243776 91960,5014:239:3,-149,-3.5,0,0,0.242951 91961,5014:238:4,-148.5,-3.5,0,0,0.242019 91962,5014:238:3,-148,-3.5,0,0,0.241156 91963,5014:237:4,-147.5,-3.5,0,0,0.240272 91964,5014:237:3,-147,-3.5,0,0,0.239326 91965,5014:236:4,-146.5,-3.5,0,0,0.238318 91966,5014:236:3,-146,-3.5,0,0,0.237399 91967,5014:235:4,-145.5,-3.5,0,0,0.236631 91968,5014:235:3,-145,-3.5,0,0,0.235908 91969,5014:134:4,-144.5,-3.5,0,0,0.235016 91970,5014:134:3,-144,-3.5,0,0,0.233979 91971,5014:133:4,-143.5,-3.5,0,0,0.232798 91972,5014:133:3,-143,-3.5,0,0,0.231495 91973,5014:132:4,-142.5,-3.5,0,0,0.230196 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102002,7011:351:3,-111,5.5,0,0,0.239283 102003,7011:350:4,-110.5,5.5,0,0,0.239455 102004,7011:350:3,-110,5.5,0,0,0.239433 102005,7010:459:4,-109.5,5.5,0,0,0.239391 102006,7010:459:3,-109,5.5,0,0,0.239497 102007,7010:458:4,-108.5,5.5,0,0,0.240358 102008,7010:458:3,-108,5.5,0,0,0.242171 102009,7010:457:4,-107.5,5.5,0,0,0.244233 102010,7010:457:3,-107,5.5,0,0,0.247244 102011,7010:456:4,-106.5,5.5,0,0,0.250888 102012,7010:456:3,-106,5.5,0,0,0.264492 102013,7010:455:4,-105.5,5.5,0,0,0.268233 102014,7010:455:3,-105,5.5,0,0,0.251575 102015,7010:354:4,-104.5,5.5,0,0,0.247419 102016,7010:354:3,-104,5.5,0,0,0.245051 102017,7010:353:4,-103.5,5.5,0,0,0.242539 102018,7010:353:3,-103,5.5,0,0,0.24094 102019,7010:352:4,-102.5,5.5,0,0,0.240164 102020,7010:352:3,-102,5.5,0,0,0.238811 102021,7010:351:4,-101.5,5.5,0,0,0.239154 102022,7010:351:3,-101,5.5,0,0,0.241242 102023,7010:350:4,-100.5,5.5,0,0,0.242994 102024,7010:350:3,-100,5.5,0,0,0.243755 102025,7009:459:4,-99.5,5.5,0,0,0.244211 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102051,7008:353:4,-83.5,5.5,0,0,0.241393 102052,7008:353:3,-83,5.5,0,0,0.243211 102053,7008:352:4,-82.5,5.5,0,0,0.242085 102054,7008:352:3,-82,5.5,0,0,0.239004 102055,7008:351:4,-81.5,5.5,0,0,0.237655 102056,7008:351:3,-81,5.5,0,0,0.237826 102057,7008:350:4,-80.5,5.5,0,0,0.238726 102058,7008:350:3,-80,5.5,0,0,0.240422 102059,7007:459:4,-79.5,5.5,0,0,0.242431 102060,7007:459:3,-79,5.5,0,0,0.244392 102061,7007:458:4,-78.5,5.5,0,0,0.246651 102062,7007:458:3,-78,5.5,0,0,0.247803 102063,7007:457:4,-77.5,5.5,0,0,0.248609 102064,7007:457:3,-77,5.5,0,0,0.249351 102065,7007:456:4,-76.5,5.5,0,0,0.249853 102066,7007:456:3,-76,5.5,0,0,0.248538 102067,7007:455:4,-75.5,5.5,0,0,0.24728 102068,7007:455:3,-75,5.5,0,0,0.242756 102069,7007:354:4,-74.5,5.5,0,0,0.236781 102070,7007:354:3,-74,5.5,0,0,0.230929 102071,7007:353:4,-73.5,5.5,0,0,0.224172 102072,7007:353:3,-73,5.5,0,0,0.222189 102073,7007:352:4,-72.5,5.5,0,0,0.223844 102074,7007:351:3,-71,5.5,0,0,0.233684 102075,7007:350:4,-70.5,5.5,0,0,0.216716 102076,7006:459:4,-69.5,5.5,0,0,0.218322 102077,7006:459:3,-69,5.5,0,0,0.223374 102078,7006:458:4,-68.5,5.5,0,0,0.226168 102079,7006:458:3,-68,5.5,0,0,0.226457 102080,7006:457:4,-67.5,5.5,0,0,0.230427 102081,7006:457:3,-67,5.5,0,0,0.237015 102082,7006:456:4,-66.5,5.5,0,0,0.239992 102083,7006:456:3,-66,5.5,0,0,0.236887 102084,7006:455:4,-65.5,5.5,0,0,0.237292 102085,7006:455:3,-65,5.5,0,0,0.236482 102086,7006:354:4,-64.5,5.5,0,0,0.233916 102087,7006:354:3,-64,5.5,0,0,0.231034 102088,7006:353:4,-63.5,5.5,0,0,0.232293 102089,7006:353:3,-63,5.5,0,0,0.234064 102090,7006:352:4,-62.5,5.5,0,0,0.2371 102091,7006:352:3,-62,5.5,0,0,0.241134 102092,7006:351:4,-61.5,5.5,0,0,0.241134 102093,7006:351:3,-61,5.5,0,0,0.239691 102094,7006:350:4,-60.5,5.5,0,0,0.239412 102095,7006:350:3,-60,5.5,0,0,0.237805 102096,7005:459:4,-59.5,5.5,0,0,0.239519 102097,7005:459:3,-59,5.5,0,0,0.239906 102098,7005:458:4,-58.5,5.5,0,0,0.23982 102099,7005:458:3,-58,5.5,0,0,0.23924 102100,7005:457:4,-57.5,5.5,0,0,0.238126 102101,7005:457:3,-57,5.5,0,0,0.237079 102102,7005:456:4,-56.5,5.5,0,0,0.236802 102103,7005:456:3,-56,5.5,0,0,0.237207 102104,7005:455:4,-55.5,5.5,0,0,0.237378 102105,7005:455:3,-55,5.5,0,0,0.237463 102106,7005:354:4,-54.5,5.5,0,0,0.237463 102107,7005:354:3,-54,5.5,0,0,0.237058 102108,7005:353:4,-53.5,5.5,0,0,0.236376 102109,7005:353:3,-53,5.5,0,0,0.235823 102110,7005:352:4,-52.5,5.5,0,0,0.235611 102111,7005:352:3,-52,5.5,0,0,0.235483 102112,7005:351:4,-51.5,5.5,0,0,0.235207 102113,7005:351:3,-51,5.5,0,0,0.234889 102114,7005:350:4,-50.5,5.5,0,0,0.234529 102115,7005:350:3,-50,5.5,0,0,0.233958 102116,7004:459:4,-49.5,5.5,0,0,0.233219 102117,7004:459:3,-49,5.5,0,0,0.232209 102118,7004:458:4,-48.5,5.5,0,0,0.230824 102119,7004:458:3,-48,5.5,0,0,0.228612 102120,7004:457:4,-47.5,5.5,0,0,0.225632 102121,7004:457:3,-47,5.5,0,0,0.22407 102122,7004:456:4,-46.5,5.5,0,0,0.223598 102123,7004:456:3,-46,5.5,0,0,0.223087 102124,7004:455:4,-45.5,5.5,0,0,0.222536 102125,7004:455:3,-45,5.5,0,0,0.222047 102126,7004:354:4,-44.5,5.5,0,0,0.221578 102127,7004:354:3,-44,5.5,0,0,0.22103 102128,7004:353:4,-43.5,5.5,0,0,0.219976 102129,7004:353:3,-43,5.5,0,0,0.218502 102130,7004:352:4,-42.5,5.5,0,0,0.216936 102131,7004:352:3,-42,5.5,0,0,0.215477 102132,7004:351:4,-41.5,5.5,0,0,0.214879 102133,7004:351:3,-41,5.5,0,0,0.214562 102134,7004:350:4,-40.5,5.5,0,0,0.214403 102135,7004:350:3,-40,5.5,0,0,0.214761 102136,7003:459:4,-39.5,5.5,0,0,0.214582 102137,7003:459:3,-39,5.5,0,0,0.213748 102138,7003:458:4,-38.5,5.5,0,0,0.212384 102139,7003:458:3,-38,5.5,0,0,0.210948 102140,7003:457:4,-37.5,5.5,0,0,0.209479 102141,7003:457:3,-37,5.5,0,0,0.20829 102142,7003:456:4,-36.5,5.5,0,0,0.207475 102143,7003:456:3,-36,5.5,0,0,0.20701 102144,7003:455:4,-35.5,5.5,0,0,0.207088 102145,7003:455:3,-35,5.5,0,0,0.207455 102146,7003:354:4,-34.5,5.5,0,0,0.207436 102147,7003:354:3,-34,5.5,0,0,0.207436 102148,7003:353:4,-33.5,5.5,0,0,0.207708 102149,7003:353:3,-33,5.5,0,0,0.208038 102150,7003:352:4,-32.5,5.5,0,0,0.208563 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131913,7415:133:3,-153,43.5,0,0,0.0495537 131914,7415:132:4,-152.5,43.5,0,0,0.0499925 131915,7415:132:3,-152,43.5,0,0,0.0502979 131916,7415:131:4,-151.5,43.5,0,0,0.0506155 131917,7415:131:3,-151,43.5,0,0,0.0515364 131918,7415:130:4,-150.5,43.5,0,0,0.0532138 131919,7415:130:3,-150,43.5,0,0,0.0543949 131920,7414:239:4,-149.5,43.5,0,0,0.0544633 131921,7414:239:3,-149,43.5,0,0,0.0544175 131922,7414:238:4,-148.5,43.5,0,0,0.0544289 131923,7414:238:3,-148,43.5,0,0,0.0548972 131924,7414:237:4,-147.5,43.5,0,0,0.056772 131925,7414:237:3,-147,43.5,0,0,0.0598655 131926,7414:236:4,-146.5,43.5,0,0,0.0622723 131927,7414:236:3,-146,43.5,0,0,0.0636012 131928,7414:235:4,-145.5,43.5,0,0,0.0646088 131929,7414:235:3,-145,43.5,0,0,0.0643822 131930,7414:134:4,-144.5,43.5,0,0,0.0631816 131931,7414:134:3,-144,43.5,0,0,0.0626992 131932,7414:133:4,-143.5,43.5,0,0,0.0638784 131933,7414:133:3,-143,43.5,0,0,0.0662021 131934,7414:132:4,-142.5,43.5,0,0,0.0674284 131935,7414:132:3,-142,43.5,0,0,0.0682668 131936,7414:131:4,-141.5,43.5,0,0,0.0695996 131937,7414:131:3,-141,43.5,0,0,0.0708113 131938,7414:130:4,-140.5,43.5,0,0,0.0724863 131939,7414:130:3,-140,43.5,0,0,0.0733225 131940,7413:239:4,-139.5,43.5,0,0,0.0747923 131941,7413:239:3,-139,43.5,0,0,0.0796557 131942,7413:238:4,-138.5,43.5,0,0,0.081787 131943,7413:238:3,-138,43.5,0,0,0.0832423 131944,7413:237:4,-137.5,43.5,0,0,0.0847896 131945,7413:237:3,-137,43.5,0,0,0.0867468 131946,7413:236:4,-136.5,43.5,0,0,0.0916275 131947,7413:236:3,-136,43.5,0,0,0.0954104 131948,7413:235:4,-135.5,43.5,0,0,0.098427 131949,7413:235:3,-135,43.5,0,0,0.0963684 131950,7413:134:4,-134.5,43.5,0,0,0.0928855 131951,7413:134:3,-134,43.5,0,0,0.0825202 131952,7413:133:4,-133.5,43.5,0,0,0.0600026 131953,7413:133:3,-133,43.5,0,0,0.0779078 131954,7413:132:4,-132.5,43.5,0,0,0.0771493 131955,7408:130:3,-80,43.5,0,0,0.0133161 131956,7407:239:4,-79.5,43.5,0,0,0.0149457 131957,7407:239:3,-79,43.5,0,0,0.0165974 131958,7407:238:4,-78.5,43.5,0,0,0.0164037 131959,7407:238:3,-78,43.5,0,0,0.0160301 131960,7407:237:4,-77.5,43.5,0,0,0.0150797 131961,7405:239:3,-59,43.5,0,0,0.011328 131962,7405:238:4,-58.5,43.5,0,0,0.0115958 131963,7405:238:3,-58,43.5,0,0,0.0125465 131964,7405:237:4,-57.5,43.5,0,0,0.0129978 131965,7405:237:3,-57,43.5,0,0,0.0130688 131966,7405:236:4,-56.5,43.5,0,0,0.0136423 131967,7405:236:3,-56,43.5,0,0,0.0181661 131968,7405:235:4,-55.5,43.5,0,0,0.0309839 131969,7405:235:3,-55,43.5,0,0,0.0413855 131970,7405:134:4,-54.5,43.5,0,0,0.0474435 131971,7405:134:3,-54,43.5,0,0,0.0456589 131972,7405:133:4,-53.5,43.5,0,0,0.044358 131973,7405:133:3,-53,43.5,0,0,0.0403464 131974,7405:132:4,-52.5,43.5,0,0,0.0386451 131975,7405:132:3,-52,43.5,0,0,0.0372578 131976,7405:131:4,-51.5,43.5,0,0,0.0367697 131977,7405:131:3,-51,43.5,0,0,0.0372895 131978,7405:130:4,-50.5,43.5,0,0,0.0375523 131979,7405:130:3,-50,43.5,0,0,0.0380181 131980,7404:239:4,-49.5,43.5,0,0,0.0379132 131981,7404:239:3,-49,43.5,0,0,0.0372421 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141820,7601:478:3,-18,67.5,0,0,0.0110808 141821,7601:477:4,-17.5,67.5,0,0,0.0110759 141822,7601:477:3,-17,67.5,0,0,0.0110687 141823,7601:476:4,-16.5,67.5,0,0,0.0110735 141824,7601:476:3,-16,67.5,0,0,0.0112589 141825,7601:475:4,-15.5,67.5,0,0,0.0128204 141826,7601:475:3,-15,67.5,0,0,0.0222611 141827,7601:374:4,-14.5,67.5,0,0,0.0348031 141828,7601:374:3,-14,67.5,0,0,0.0342582 141829,7601:373:4,-13.5,67.5,0,0,0.0346699 141830,7601:373:3,-13,67.5,0,0,0.0361256 141831,7601:372:4,-12.5,67.5,0,0,0.0374724 141832,7601:372:3,-12,67.5,0,0,0.0394325 141833,7601:371:4,-11.5,67.5,0,0,0.0420746 141834,7601:371:3,-11,67.5,0,0,0.0433485 141835,7601:370:4,-10.5,67.5,0,0,0.0453138 141836,7601:370:3,-10,67.5,0,0,0.046494 141837,7600:479:4,-9.5,67.5,0,0,0.0476839 141838,7600:479:3,-9,67.5,0,0,0.0481172 141839,7600:478:4,-8.5,67.5,0,0,0.0452945 141840,7600:478:3,-8,67.5,0,0,0.0419235 141841,7600:477:4,-7.5,67.5,0,0,0.041412 141842,7600:477:3,-7,67.5,0,0,0.0370682 141843,7600:476:4,-6.5,67.5,0,0,0.0363184 141844,7600:476:3,-6,67.5,0,0,0.0307986 141845,7600:475:4,-5.5,67.5,0,0,0.0280677 141846,7600:475:3,-5,67.5,0,0,0.0365822 141847,7600:374:4,-4.5,67.5,0,0,0.0375762 141848,7600:374:3,-4,67.5,0,0,0.0342582 141849,7600:373:4,-3.5,67.5,0,0,0.025364 141850,7600:373:3,-3,67.5,0,0,0.0198285 141851,7600:372:4,-2.5,67.5,0,0,0.018249 141852,7600:372:3,-2,67.5,0,0,0.0179001 141853,7600:371:4,-1.5,67.5,0,0,0.0185362 141854,7600:371:3,-1,67.5,0,0,0.0239355 141855,7600:370:4,-0.5,67.5,0,0,0.0320081 141856,1600:370:4,0,67.5,0,0,0.0360258 141857,1600:370:4,0.5,67.5,0,0,0.038678 141858,1600:371:3,1,67.5,0,0,0.040578 141859,1600:371:4,1.5,67.5,0,0,0.0425492 141860,1600:372:3,2,67.5,0,0,0.0462011 141861,1600:372:4,2.5,67.5,0,0,0.0485336 141862,1600:373:3,3,67.5,0,0,0.0497937 141863,1600:373:4,3.5,67.5,0,0,0.0479956 141864,1600:374:3,4,67.5,0,0,0.0472243 141865,1600:374:4,4.5,67.5,0,0,0.049481 141866,1600:475:3,5,67.5,0,0,0.0494186 141867,1600:475:4,5.5,67.5,0,0,0.046104 141868,1600:476:3,6,67.5,0,0,0.0402525 141869,1600:476:4,6.5,67.5,0,0,0.038678 141870,1600:477:3,7,67.5,0,0,0.0399633 141871,1600:477:4,7.5,67.5,0,0,0.0425401 141872,1600:478:3,8,67.5,0,0,0.0427839 141873,1600:478:4,8.5,67.5,0,0,0.0412717 141874,1600:479:3,9,67.5,0,0,0.0345739 141875,1600:479:4,9.5,67.5,0,0,0.030759 141876,1601:370:3,10,67.5,0,0,0.032651 141877,1601:370:4,10.5,67.5,0,0,0.0337501 141878,1601:371:3,11,67.5,0,0,0.0348477 141879,1601:371:4,11.5,67.5,0,0,0.0353115 141880,1601:372:3,12,67.5,0,0,0.0360487 141881,1601:372:4,12.5,67.5,0,0,0.0361024 141882,1601:373:3,13,67.5,0,0,0.0358345 141883,1601:373:4,13.5,67.5,0,0,0.0352963 141884,1601:374:3,14,67.5,0,0,0.0349147 141885,1601:374:4,14.5,67.5,0,0,0.0350041 141886,1601:475:3,15,67.5,0,0,0.0359645 141887,1601:475:4,15.5,67.5,0,0,0.0380667 141888,1601:476:3,16,67.5,0,0,0.0380909 141889,1601:476:4,16.5,67.5,0,0,0.0340904 141890,1601:477:3,17,67.5,0,0,0.0292546 141891,1601:477:4,17.5,67.5,0,0,0.0206387 141892,1601:478:3,18,67.5,0,0,0.0170357 141893,1602:371:3,21,67.5,0,0,0.0115151 141894,1602:371:4,21.5,67.5,0,0,0.0120949 141895,1602:372:3,22,67.5,0,0,0.0123563 141896,1602:372:4,22.5,67.5,0,0,0.0115301 141897,1614:372:3,142,67.5,0,0,0.0119037 141898,1614:372:4,142.5,67.5,0,0,0.01187 141899,1614:373:3,143,67.5,0,0,0.0118208 141900,1614:373:4,143.5,67.5,0,0,0.0117744 141901,1614:374:3,144,67.5,0,0,0.011741 141902,1614:374:4,144.5,67.5,0,0,0.0117308 141903,1614:475:3,145,67.5,0,0,0.0116848 141904,1614:475:4,145.5,67.5,0,0,0.011611 141905,1614:476:3,146,67.5,0,0,0.0115756 141906,1614:476:4,146.5,67.5,0,0,0.0115226 141907,1614:477:3,147,67.5,0,0,0.0114548 141908,1614:477:4,147.5,67.5,0,0,0.0114724 141909,1614:478:3,148,67.5,0,0,0.0115076 141910,1614:478:4,148.5,67.5,0,0,0.0114474 141911,1614:479:3,149,67.5,0,0,0.0114349 141912,1614:479:4,149.5,67.5,0,0,0.0114524 141913,1615:370:3,150,67.5,0,0,0.0114274 141914,1615:370:4,150.5,67.5,0,0,0.01138 141915,1615:371:3,151,67.5,0,0,0.0113552 141916,1615:371:4,151.5,67.5,0,0,0.0113652 141917,1615:372:3,152,67.5,0,0,0.01139 141918,1615:372:4,152.5,67.5,0,0,0.0114323 141919,1615:373:3,153,67.5,0,0,0.0114599 141920,1615:373:4,153.5,67.5,0,0,0.0114624 141921,1615:374:3,154,67.5,0,0,0.0114499 141922,1615:374:4,154.5,67.5,0,0,0.0114323 141923,1615:475:3,155,67.5,0,0,0.0114174 141924,1615:475:4,155.5,67.5,0,0,0.0114 141925,1615:476:3,156,67.5,0,0,0.0113726 141926,1615:476:4,156.5,67.5,0,0,0.0113453 141927,1615:477:3,157,67.5,0,0,0.0113181 141928,1615:477:4,157.5,67.5,0,0,0.0112885 141929,1615:478:3,158,67.5,0,0,0.0112613 141930,1615:478:4,158.5,67.5,0,0,0.0112295 141931,1615:479:3,159,67.5,0,0,0.0112 141932,1615:479:4,159.5,67.5,0,0,0.0111756 141933,1616:370:3,160,67.5,0,0,0.0111487 141934,1616:370:4,160.5,67.5,0,0,0.0111268 141935,1616:371:3,161,67.5,0,0,0.011105 141936,1616:371:4,161.5,67.5,0,0,0.0110831 141937,1616:372:3,162,67.5,0,0,0.0110759 141938,1616:372:4,162.5,67.5,0,0,0.0110808 141939,1616:373:3,163,67.5,0,0,0.011088 141940,1616:373:4,163.5,67.5,0,0,0.0110929 141941,1616:374:3,164,67.5,0,0,0.0110929 141942,1616:374:4,164.5,67.5,0,0,0.0110856 141943,1616:475:3,165,67.5,0,0,0.0110783 141944,1616:475:4,165.5,67.5,0,0,0.0110783 141945,1616:476:3,166,67.5,0,0,0.011088 141946,1616:476:4,166.5,67.5,0,0,0.0111123 141947,1616:477:3,167,67.5,0,0,0.011139 141948,1616:477:4,167.5,67.5,0,0,0.011156 141949,1616:478:3,168,67.5,0,0,0.0111682 141950,1616:478:4,168.5,67.5,0,0,0.0111756 141951,1616:479:3,169,67.5,0,0,0.011178 141952,1616:479:4,169.5,67.5,0,0,0.0111756 141953,1617:370:3,170,67.5,0,0,0.011178 141954,1617:370:4,170.5,67.5,0,0,0.0111829 141955,1617:371:3,171,67.5,0,0,0.0111951 141956,1617:371:4,171.5,67.5,0,0,0.0112074 141957,1617:372:3,172,67.5,0,0,0.0112123 141958,1617:372:4,172.5,67.5,0,0,0.0112196 141959,1617:373:3,173,67.5,0,0,0.011222 141960,1617:373:4,173.5,67.5,0,0,0.011222 141961,1617:374:3,174,67.5,0,0,0.0112196 141962,1617:374:4,174.5,67.5,0,0,0.0112172 141963,1617:475:3,175,67.5,0,0,0.0112147 141964,1617:475:4,175.5,67.5,0,0,0.0112147 141965,1617:476:3,176,67.5,0,0,0.0112123 141966,1617:476:4,176.5,67.5,0,0,0.0112147 141967,1617:477:3,177,67.5,0,0,0.0112147 141968,1617:477:4,177.5,67.5,0,0,0.0112172 141969,1617:478:3,178,67.5,0,0,0.011222 141970,1617:478:4,178.5,67.5,0,0,0.0112295 141971,1617:479:3,179,67.5,0,0,0.0112343 141972,1617:479:4,179.5,67.5,0,0,0.0112393 141973,1618:370:3,180,67.5,0,0,0.0112417 141974,7618:380:1,-180,68,0,0,0.0112417 141975,7617:489:2,-179.5,68,0,0,0.0112441 141976,7617:489:1,-179,68,0,0,0.0112466 141977,7617:488:2,-178.5,68,0,0,0.0112491 141978,7617:488:1,-178,68,0,0,0.0112491 141979,7617:487:2,-177.5,68,0,0,0.0112515 141980,7617:487:1,-177,68,0,0,0.0112491 141981,7617:486:2,-176.5,68,0,0,0.0112466 141982,7617:486:1,-176,68,0,0,0.0112393 141983,7617:485:2,-175.5,68,0,0,0.0112393 141984,7617:485:1,-175,68,0,0,0.0112441 141985,7617:384:2,-174.5,68,0,0,0.0112613 141986,7617:384:1,-174,68,0,0,0.011286 141987,7617:383:2,-173.5,68,0,0,0.0113082 141988,7617:383:1,-173,68,0,0,0.0113255 141989,7617:382:2,-172.5,68,0,0,0.0113329 141990,7617:382:1,-172,68,0,0,0.0113304 141991,7617:381:2,-171.5,68,0,0,0.0113329 141992,7617:381:1,-171,68,0,0,0.0113403 141993,7617:380:2,-170.5,68,0,0,0.0113478 141994,7617:380:1,-170,68,0,0,0.0113503 141995,7616:489:2,-169.5,68,0,0,0.0113453 141996,7616:489:1,-169,68,0,0,0.0113379 141997,7616:488:2,-168.5,68,0,0,0.0113206 141998,7616:488:1,-168,68,0,0,0.0113033 141999,7616:487:2,-167.5,68,0,0,0.0112983 142000,7616:487:1,-167,68,0,0,0.0112958 142001,7616:486:2,-166.5,68,0,0,0.0112909 142002,7616:486:1,-166,68,0,0,0.0112909 142003,7616:485:2,-165.5,68,0,0,0.0112885 142004,7616:485:1,-165,68,0,0,0.0112885 142005,7616:384:2,-164.5,68,0,0,0.0112933 142006,7616:384:1,-164,68,0,0,0.0113008 142007,7616:383:2,-163.5,68,0,0,0.0113132 142008,7616:383:1,-163,68,0,0,0.011328 142009,7616:382:2,-162.5,68,0,0,0.0113428 142010,7616:382:1,-162,68,0,0,0.0113453 142011,7616:381:2,-161.5,68,0,0,0.0113379 142012,7616:381:1,-161,68,0,0,0.011328 142013,7616:380:2,-160.5,68,0,0,0.0113181 142014,7616:380:1,-160,68,0,0,0.0113082 142015,7615:489:2,-159.5,68,0,0,0.0112983 142016,7615:489:1,-159,68,0,0,0.0112909 142017,7615:488:2,-158.5,68,0,0,0.0112811 142018,7615:488:1,-158,68,0,0,0.0112736 142019,7615:487:2,-157.5,68,0,0,0.0112712 142020,7615:487:1,-157,68,0,0,0.0112712 142021,7615:486:2,-156.5,68,0,0,0.0112688 142022,7615:486:1,-156,68,0,0,0.0112613 142023,7615:485:2,-155.5,68,0,0,0.0112417 142024,7615:485:1,-155,68,0,0,0.0112172 142025,7615:384:2,-154.5,68,0,0,0.0111976 142026,7615:384:1,-154,68,0,0,0.0111951 142027,7615:383:2,-153.5,68,0,0,0.0112123 142028,7615:383:1,-153,68,0,0,0.0112196 142029,7615:382:2,-152.5,68,0,0,0.0112049 142030,7615:382:1,-152,68,0,0,0.0111731 142031,7615:381:2,-151.5,68,0,0,0.0112025 142032,7615:381:1,-151,68,0,0,0.0111976 142033,7615:380:2,-150.5,68,0,0,0.0111293 142034,7615:380:1,-150,68,0,0,0.0110494 142035,7614:489:2,-149.5,68,0,0,0.0109891 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151286,7903:101:1,-31,90,0,0,0.0107634 151287,7903:100:2,-30.5,90,0,0,0.010761 151288,7903:100:1,-30,90,0,0,0.0107634 151289,7902:209:2,-29.5,90,0,0,0.0107657 151290,7902:209:1,-29,90,0,0,0.0107634 151291,7902:208:2,-28.5,90,0,0,0.010761 151292,7902:208:1,-28,90,0,0,0.0107586 151293,7902:207:2,-27.5,90,0,0,0.0107563 151294,7902:207:1,-27,90,0,0,0.0107539 151295,7902:206:2,-26.5,90,0,0,0.0108959 151296,7902:206:1,-26,90,0,0,0.0111196 151297,7902:205:2,-25.5,90,0,0,0.0110421 151298,7902:205:1,-25,90,0,0,0.0109699 151299,7902:104:2,-24.5,90,0,0,0.0114374 151300,7902:104:1,-24,90,0,0,0.0120922 151301,1916:205:2,165.5,90,0,0,0.010865 151302,1916:206:1,166,90,0,0,0.0108294 151303,1916:206:2,166.5,90,0,0,0.0107845 151304,1916:207:1,167,90,0,0,0.010768 151305,1916:207:2,167.5,90,0,0,0.0107563 151306,1916:208:1,168,90,0,0,0.0107422 151307,1916:208:2,168.5,90,0,0,0.0107257 151308,1916:209:1,169,90,0,0,0.010714 151309,1916:209:2,169.5,90,0,0,0.0107094 151310,1917:100:1,170,90,0,0,0.0107117 151311,1917:100:2,170.5,90,0,0,0.0107117 151312,1917:101:1,171,90,0,0,0.010707 151313,1917:101:2,171.5,90,0,0,0.0111976 151314,1917:102:1,172,90,0,0,0.0127562 151315,1917:102:2,172.5,90,0,0,0.0145699 151316,1917:103:1,173,90,0,0,0.0154752 151317,1917:103:2,173.5,90,0,0,0.0154517 151318,1917:104:1,174,90,0,0,0.0153679 151319,1917:104:2,174.5,90,0,0,0.0153144 151320,1917:205:1,175,90,0,0,0.0152945 151321,1917:205:2,175.5,90,0,0,0.0152082 151322,1917:206:1,176,90,0,0,0.0148679 151323,1917:206:2,176.5,90,0,0,0.0124023 151324,1917:207:1,177,90,0,0,0.0108413 151325,1917:207:2,177.5,90,0,0,0.010707 151326,1917:208:1,178,90,0,0,0.0107094 151327,1917:208:2,178.5,90,0,0,0.0107211 151328,1917:209:1,179,90,0,0,0.0107305 151329,1917:209:2,179.5,90,0,0,0.0107375 151330,1918:100:1,180,90,0,0,0.0107445 non_deterministic_output NonDeterministicOutput http://data-d.d4science.org/S0F4NnovSEFpTGRxUmhYZ0pWd0RHcTJZWmJXb0pBWUNHbWJQNStIS0N6Yz0 The warnings from the underlying MaxEnt model text/csv http://data-d.d4science.org/Z1ptYitlUzFzRFZxUmhYZ0pWd0RHczNnOUpCcndpU3dHbWJQNStIS0N6Yz0 ASCII Maps of the environmental layers for checking features aligments text/csv http://data-d.d4science.org/aFhRUXpUd0FJVDlxUmhYZ0pWd0RHc2YyakJqenhDV1NHbWJQNStIS0N6Yz0 World Thumbnail image/png http://data-d.d4science.org/WS9sdjBmSXhncXBxUmhYZ0pWd0RHb2dnNXBsSXFKY2xHbWJQNStIS0N6Yz0 ROC Curve image/png http://data-d.d4science.org/dGhlbFNvK3dHbEZxUmhYZ0pWd0RHczJOcjNScFZvOGZHbWJQNStIS0N6Yz0 Omission-Commission Curve image/png http://data-d.d4science.org/eEE5QUhTWmZjSnRxUmhYZ0pWd0RHZzVUR0d0U1lUVVNHbWJQNStIS0N6Yz0 Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/csv 2016-04-26 11:05:07 DEBUG SClient4WPS:946 - Process Executed 2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: wps:ComplexData 2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: #text 2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: wps:ComplexData 2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: #text 2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: wps:ComplexData 2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: ogr:FeatureCollection 2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: gml:featureMember 2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: ogr:Result 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/S0F4NnovSEFpTGRxUmhYZ0pWd0RHcTJZWmJXb0pBWUNHbWJQNStIS0N6Yz0 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:The warnings from the underlying MaxEnt model 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:text/csv 2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: ogr:Result 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/Z1ptYitlUzFzRFZxUmhYZ0pWd0RHczNnOUpCcndpU3dHbWJQNStIS0N6Yz0 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:ASCII Maps of the environmental layers for checking features aligments 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:text/csv 2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: ogr:Result 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/aFhRUXpUd0FJVDlxUmhYZ0pWd0RHc2YyakJqenhDV1NHbWJQNStIS0N6Yz0 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:World Thumbnail 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:image/png 2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: ogr:Result 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/WS9sdjBmSXhncXBxUmhYZ0pWd0RHb2dnNXBsSXFKY2xHbWJQNStIS0N6Yz0 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:ROC Curve 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:image/png 2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: ogr:Result 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/dGhlbFNvK3dHbEZxUmhYZ0pWd0RHczJOcjNScFZvOGZHbWJQNStIS0N6Yz0 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:Omission-Commission Curve 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:image/png 2016-04-26 11:05:07 DEBUG SClient4WPS:570 - Node Name: ogr:Result 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Data- Value:http://data-d.d4science.org/eEE5QUhTWmZjSnRxUmhYZ0pWd0RHZzVUR0d0U1lUVVNHbWJQNStIS0N6Yz0 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:Description- Value:Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] 2016-04-26 11:05:07 DEBUG SClient4WPS:537 - Node Name: d4science:MimeType- Value:text/csv 2016-04-26 11:05:07 DEBUG SClient4WPS:499 - ResponseWPS Map: F0-->ResponseWPS [data=http://data-d.d4science.org/S0F4NnovSEFpTGRxUmhYZ0pWd0RHcTJZWmJXb0pBWUNHbWJQNStIS0N6Yz0, description=The warnings from the underlying MaxEnt model, mimeType=text/csv] 2016-04-26 11:05:07 DEBUG SClient4WPS:499 - ResponseWPS Map: F1-->ResponseWPS [data=http://data-d.d4science.org/Z1ptYitlUzFzRFZxUmhYZ0pWd0RHczNnOUpCcndpU3dHbWJQNStIS0N6Yz0, description=ASCII Maps of the environmental layers for checking features aligments, mimeType=text/csv] 2016-04-26 11:05:07 DEBUG SClient4WPS:499 - ResponseWPS Map: F2-->ResponseWPS [data=http://data-d.d4science.org/aFhRUXpUd0FJVDlxUmhYZ0pWd0RHc2YyakJqenhDV1NHbWJQNStIS0N6Yz0, description=World Thumbnail, mimeType=image/png] 2016-04-26 11:05:07 DEBUG SClient4WPS:499 - ResponseWPS Map: F3-->ResponseWPS [data=http://data-d.d4science.org/WS9sdjBmSXhncXBxUmhYZ0pWd0RHb2dnNXBsSXFKY2xHbWJQNStIS0N6Yz0, description=ROC Curve, mimeType=image/png] 2016-04-26 11:05:07 DEBUG SClient4WPS:499 - ResponseWPS Map: F4-->ResponseWPS [data=http://data-d.d4science.org/dGhlbFNvK3dHbEZxUmhYZ0pWd0RHczJOcjNScFZvOGZHbWJQNStIS0N6Yz0, description=Omission-Commission Curve, mimeType=image/png] 2016-04-26 11:05:07 DEBUG SClient4WPS:499 - ResponseWPS Map: F5-->ResponseWPS [data=http://data-d.d4science.org/eEE5QUhTWmZjSnRxUmhYZ0pWd0RHZzVUR0d0U1lUVVNHbWJQNStIS0N6Yz0, description=Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding], mimeType=text/csv] 2016-04-26 11:05:07 DEBUG SClient4WPS:994 - Adding OBJ:F0 2016-04-26 11:05:07 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/S0F4NnovSEFpTGRxUmhYZ0pWd0RHcTJZWmJXb0pBWUNHbWJQNStIS0N6Yz0, name=F0, description=The warnings from the underlying MaxEnt model, typology=OBJECT] 2016-04-26 11:05:07 DEBUG SClient4WPS:994 - Adding OBJ:F1 2016-04-26 11:05:07 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/Z1ptYitlUzFzRFZxUmhYZ0pWd0RHczNnOUpCcndpU3dHbWJQNStIS0N6Yz0, name=F1, description=ASCII Maps of the environmental layers for checking features aligments, typology=OBJECT] 2016-04-26 11:05:07 DEBUG SClient4WPS:994 - Adding OBJ:F2 2016-04-26 11:05:07 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/aFhRUXpUd0FJVDlxUmhYZ0pWd0RHc2YyakJqenhDV1NHbWJQNStIS0N6Yz0, name=F2, description=World Thumbnail, typology=OBJECT] 2016-04-26 11:05:07 DEBUG SClient4WPS:994 - Adding OBJ:F3 2016-04-26 11:05:07 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/WS9sdjBmSXhncXBxUmhYZ0pWd0RHb2dnNXBsSXFKY2xHbWJQNStIS0N6Yz0, name=F3, description=ROC Curve, typology=OBJECT] 2016-04-26 11:05:07 DEBUG SClient4WPS:994 - Adding OBJ:F4 2016-04-26 11:05:07 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/dGhlbFNvK3dHbEZxUmhYZ0pWd0RHczJOcjNScFZvOGZHbWJQNStIS0N6Yz0, name=F4, description=Omission-Commission Curve, typology=OBJECT] 2016-04-26 11:05:07 DEBUG SClient4WPS:994 - Adding OBJ:F5 2016-04-26 11:05:07 DEBUG SClient4WPS:1000 - ObjectParameter: ObjectParameter [type=java.lang.String, defaultValue= , value=http://data-d.d4science.org/eEE5QUhTWmZjSnRxUmhYZ0pWd0RHZzVUR0d0U1lUVVNHbWJQNStIS0N6Yz0, name=F5, description=Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding], typology=OBJECT] 2016-04-26 11:05:07 DEBUG Log:91 - Resoure: MapResource [map={F0=FileResource [url=http://data-d.d4science.org/S0F4NnovSEFpTGRxUmhYZ0pWd0RHcTJZWmJXb0pBWUNHbWJQNStIS0N6Yz0, mimeType=text/csv, getResourceId()=F0, getName()=The warnings from the underlying MaxEnt model, getDescription()=The warnings from the underlying MaxEnt model, getResourceType()=FILE], F1=FileResource [url=http://data-d.d4science.org/Z1ptYitlUzFzRFZxUmhYZ0pWd0RHczNnOUpCcndpU3dHbWJQNStIS0N6Yz0, mimeType=text/csv, getResourceId()=F1, getName()=ASCII Maps of the environmental layers for checking features aligments, getDescription()=ASCII Maps of the environmental layers for checking features aligments, getResourceType()=FILE], F2=ImagesResource [link=http://data-d.d4science.org/aFhRUXpUd0FJVDlxUmhYZ0pWd0RHc2YyakJqenhDV1NHbWJQNStIS0N6Yz0, mimeType=image/png, getResourceId()=F2, getName()=World Thumbnail, getDescription()=World Thumbnail, getResourceType()=IMAGES], F3=ImagesResource [link=http://data-d.d4science.org/WS9sdjBmSXhncXBxUmhYZ0pWd0RHb2dnNXBsSXFKY2xHbWJQNStIS0N6Yz0, mimeType=image/png, getResourceId()=F3, getName()=ROC Curve, getDescription()=ROC Curve, getResourceType()=IMAGES], F4=ImagesResource [link=http://data-d.d4science.org/dGhlbFNvK3dHbEZxUmhYZ0pWd0RHczJOcjNScFZvOGZHbWJQNStIS0N6Yz0, mimeType=image/png, getResourceId()=F4, getName()=Omission-Commission Curve, getDescription()=Omission-Commission Curve, getResourceType()=IMAGES], F5=FileResource [url=http://data-d.d4science.org/eEE5QUhTWmZjSnRxUmhYZ0pWd0RHZzVUR0d0U1lUVVNHbWJQNStIS0N6Yz0, mimeType=text/csv, getResourceId()=F5, getName()=Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding], getDescription()=Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding], getResourceType()=FILE]}, getResourceId()=mapResource, getName()=Resources, getDescription()=Resources, getResourceType()=MAP] 2016-04-26 11:05:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 11:05:20 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 11:06:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:06:15 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 11:07:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:07:10 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 11:08:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:08:05 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 11:09:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:09:00 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 11:09:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:09:55 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 11:10:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:10:50 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 11:11:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:11:45 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 11:12:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:12:40 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 11:13:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:13:35 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 11:14:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:14:30 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 11:15:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:15:25 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 11:16:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:16:20 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 11:17:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:17:15 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 11:18:11 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:18:11 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 11:19:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-26 11:19:05 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-26 11:20:00 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-26 11:20:00 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-26 11:20:55 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:20:55 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 11:21:50 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:21:50 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 11:22:45 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-26 11:22:45 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-26 11:23:40 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:23:40 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 11:24:35 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:24:35 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 11:25:30 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:25:30 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 11:26:25 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:26:25 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 11:27:20 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 31 2016-04-26 11:27:20 DEBUG ASLSession:458 - Getting security token: null in thread 31 2016-04-26 11:28:15 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:28:15 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 11:29:02 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:29:02 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 11:29:02 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:29:02 DEBUG DataMinerManagerServiceImpl:149 - StartComputation(): [computationTitle=Max Ent Niche Modelling-2016-04-26 11:01, computationDescription=Max Ent Niche Modelling-2016-04-26 11:01, operator=Operator [id=org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING, name=Max Ent Niche Modelling, briefDescription=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, description=A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt, operatorParameters=[ObjectParameter [type=java.lang.String, defaultValue=maxent_, value=maxent_, name=OutputTableLabel, description=The name of the table to produce [Min N. of Entries:1; Max N. of Entries:1; default:maxent_], typology=OBJECT], ObjectParameter [type=java.lang.String, defaultValue=generic_species, value=Latimeria, name=SpeciesName, description=The name of the species to model and the occurrence records refer to [Min N. of Entries:1; Max N. of Entries:1; default:generic_species], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=1000, value=1000, name=MaxIterations, description=The number of learning iterations of the MaxEnt algorithm [Min N. of Entries:1; Max N. of Entries:1; default:1000], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=-1.0, name=DefaultPrevalence, description=A priori probability of presence at ordinary occurrence points [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT], TabularParameter [tableName=http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0, templates=[], name=OccurrencesTable, description=A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR], Parameter [name=LongitudeColumn, description=The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude], typology=COLUMN], Parameter [name=LatitudeColumn, description=The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude], typology=COLUMN], ObjectParameter [type=java.lang.Double, defaultValue=1, value=0.5, name=XResolution, description=Model projection resolution on the X axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT], ObjectParameter [type=java.lang.Double, defaultValue=1, value=0.5, name=YResolution, description=Model projection resolution on the Y axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT], ListParameter [type=java.lang.String, value=fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31, separator=|, name=Layers, description=The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1], typology=LIST], ObjectParameter [type=java.lang.Double, defaultValue=0, value=0.0, name=Z, description=Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT], ObjectParameter [type=java.lang.Integer, defaultValue=0, value=0, name=TimeIndex, description=Time Index. The default is the first time indexed in the input environmental datasets [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT]], hasImage=false]] 2016-04-26 11:29:02 DEBUG SClient4WPS:264 - Describe Process WPS URL: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 11:29:02 INFO StatWPSClientSession:84 - CONNECT 2016-04-26 11:29:02 DEBUG SClient4WPS:285 - org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING A Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k, Princeton University, http://www.cs.princeton.edu/schapire/maxent/. In this adaptation for the D4Science infrastructure, the software accepts a table produced by the Species Product Discovery service and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. The user can also establish the bounding box and the spatial resolution (in decimal deg.) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.The output contains: a thumbnail map of the projected model, the ROC curve, the Omission/Commission chart, a table containing the raw assigned values, a threshold to transform the table into a 0-1 probability distribution, a report of the importance of the used layers in the model, ASCII representations of the input layers to check their alignment.Other processes can be later applied to the raw values to produce a GIS map (e.g. the Statistical Manager Points-to-Map process) and results can be shared. Demo video: http://goo.gl/TYYnTO and instructions http://wiki.i-marine.eu/index.php/MaxEnt OutputTableLabel The name of the table to produce Name of the parameter: OutputTableLabel. The name of the table to produce maxent_ SpeciesName The name of the species to model and the occurrence records refer to Name of the parameter: SpeciesName. The name of the species to model and the occurrence records refer to generic_species MaxIterations The number of learning iterations of the MaxEnt algorithm Name of the parameter: MaxIterations. The number of learning iterations of the MaxEnt algorithm 1000 DefaultPrevalence A priori probability of presence at ordinary occurrence points Name of the parameter: DefaultPrevalence. A priori probability of presence at ordinary occurrence points 0.5 OccurrencesTable A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] Name of the parameter: OccurrencesTable. A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] text/xml text/xml text/csv text/plain LongitudeColumn The column containing longitude values [the name of a column from OccurrencesTable] Name of the parameter: LongitudeColumn. The column containing longitude values [the name of a column from OccurrencesTable] decimallongitude LatitudeColumn The column containing latitude values [the name of a column from OccurrencesTable] Name of the parameter: LatitudeColumn. The column containing latitude values [the name of a column from OccurrencesTable] decimallatitude XResolution Model projection resolution on the X axis in decimal degrees Name of the parameter: XResolution. Model projection resolution on the X axis in decimal degrees 1 YResolution Model projection resolution on the Y axis in decimal degrees Name of the parameter: YResolution. Model projection resolution on the Y axis in decimal degrees 1 Layers The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) Name of the parameter: Layers. The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) Z Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer Name of the parameter: Z. Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer 0 TimeIndex Time Index. The default is the first time indexed in the input environmental datasets Name of the parameter: TimeIndex. Time Index. The default is the first time indexed in the input environmental datasets 0 Best Threshold Best threshold for transforming MaxEnt values into 0/1 probability assignments Name of the parameter: Best Threshold. Best threshold for transforming MaxEnt values into 0/1 probability assignments Estimated Prevalence The a posteriori estimated prevalence of the species Name of the parameter: Estimated Prevalence. The a posteriori estimated prevalence of the species Variables contributions The contribution of each variable to the MaxEnt values estimates Name of the parameter: Variables contributions. The contribution of each variable to the MaxEnt values estimates Variables Permutations Importance The importance of the permutations of the variables during the training Name of the parameter: Variables Permutations Importance. The importance of the permutations of the variables during the training ASCII Maps of the environmental layers for checking features aligments ASCII Maps of the environmental layers for checking features aligments Name of the parameter: ASCII Maps of the environmental layers for checking features aligments. ASCII Maps of the environmental layers for checking features aligments application/d4science application/d4science OutputTable7 Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OutputTable7. Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/csv text/csv non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-26 11:29:02 DEBUG SClient4WPS:289 - WPSClient->Fetching Inputs 2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input: OutputTableLabel The name of the table to produce Name of the parameter: OutputTableLabel. The name of the table to produce maxent_ 2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input: SpeciesName The name of the species to model and the occurrence records refer to Name of the parameter: SpeciesName. The name of the species to model and the occurrence records refer to generic_species 2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input: MaxIterations The number of learning iterations of the MaxEnt algorithm Name of the parameter: MaxIterations. The number of learning iterations of the MaxEnt algorithm 1000 2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input: DefaultPrevalence A priori probability of presence at ordinary occurrence points Name of the parameter: DefaultPrevalence. A priori probability of presence at ordinary occurrence points 0.5 2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input: OccurrencesTable A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] Name of the parameter: OccurrencesTable. A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] text/xml text/xml text/csv text/plain 2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input: LongitudeColumn The column containing longitude values [the name of a column from OccurrencesTable] Name of the parameter: LongitudeColumn. The column containing longitude values [the name of a column from OccurrencesTable] decimallongitude 2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input: LatitudeColumn The column containing latitude values [the name of a column from OccurrencesTable] Name of the parameter: LatitudeColumn. The column containing latitude values [the name of a column from OccurrencesTable] decimallatitude 2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input: XResolution Model projection resolution on the X axis in decimal degrees Name of the parameter: XResolution. Model projection resolution on the X axis in decimal degrees 1 2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input: YResolution Model projection resolution on the Y axis in decimal degrees Name of the parameter: YResolution. Model projection resolution on the Y axis in decimal degrees 1 2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input: Layers The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) Name of the parameter: Layers. The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) 2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input: Z Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer Name of the parameter: Z. Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer 0 2016-04-26 11:29:02 DEBUG SClient4WPS:291 - WPSClient->Input: TimeIndex Time Index. The default is the first time indexed in the input environmental datasets Name of the parameter: TimeIndex. Time Index. The default is the first time indexed in the input environmental datasets 0 2016-04-26 11:29:02 DEBUG SClient4WPS:296 - WPSClient->Fetching Outputs 2016-04-26 11:29:02 DEBUG SClient4WPS:298 - WPSClient->Output: Best Threshold Best threshold for transforming MaxEnt values into 0/1 probability assignments Name of the parameter: Best Threshold. Best threshold for transforming MaxEnt values into 0/1 probability assignments 2016-04-26 11:29:02 DEBUG SClient4WPS:298 - WPSClient->Output: Estimated Prevalence The a posteriori estimated prevalence of the species Name of the parameter: Estimated Prevalence. The a posteriori estimated prevalence of the species 2016-04-26 11:29:02 DEBUG SClient4WPS:298 - WPSClient->Output: Variables contributions The contribution of each variable to the MaxEnt values estimates Name of the parameter: Variables contributions. The contribution of each variable to the MaxEnt values estimates 2016-04-26 11:29:02 DEBUG SClient4WPS:298 - WPSClient->Output: Variables Permutations Importance The importance of the permutations of the variables during the training Name of the parameter: Variables Permutations Importance. The importance of the permutations of the variables during the training 2016-04-26 11:29:02 DEBUG SClient4WPS:298 - WPSClient->Output: ASCII Maps of the environmental layers for checking features aligments ASCII Maps of the environmental layers for checking features aligments Name of the parameter: ASCII Maps of the environmental layers for checking features aligments. ASCII Maps of the environmental layers for checking features aligments application/d4science application/d4science 2016-04-26 11:29:02 DEBUG SClient4WPS:298 - WPSClient->Output: OutputTable7 Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] Name of the parameter: OutputTable7. Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/csv text/csv 2016-04-26 11:29:02 DEBUG SClient4WPS:298 - WPSClient->Output: non_deterministic_output NonDeterministicOutput Output that is not predetermined text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd text/xml; subtype=gml/2.1.2 http://schemas.opengis.net/gml/2.1.2/feature.xsd 2016-04-26 11:29:02 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->OutputTableLabel is a Literal Input 2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: maxent_ 2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The name of the table to produce 2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OutputTableLabel 2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=maxent_, value=null, name=OutputTableLabel, description=The name of the table to produce [Min N. of Entries:1; Max N. of Entries:1; default:maxent_], typology=OBJECT] 2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->SpeciesName is a Literal Input 2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: generic_species 2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The name of the species to model and the occurrence records refer to 2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:SpeciesName 2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.String, defaultValue=generic_species, value=null, name=SpeciesName, description=The name of the species to model and the occurrence records refer to [Min N. of Entries:1; Max N. of Entries:1; default:generic_species], typology=OBJECT] 2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->MaxIterations is a Literal Input 2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: 1000 2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The number of learning iterations of the MaxEnt algorithm 2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:MaxIterations 2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=1000, value=null, name=MaxIterations, description=The number of learning iterations of the MaxEnt algorithm [Min N. of Entries:1; Max N. of Entries:1; default:1000], typology=OBJECT] 2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->DefaultPrevalence is a Literal Input 2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: 0.5 2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A priori probability of presence at ordinary occurrence points 2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:DefaultPrevalence 2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0.5, value=null, name=DefaultPrevalence, description=A priori probability of presence at ordinary occurrence points [Min N. of Entries:1; Max N. of Entries:1; default:0.5], typology=OBJECT] 2016-04-26 11:29:02 DEBUG WPS2SM:279 - Conversion to SM Type->OccurrencesTable is a Complex Input 2016-04-26 11:29:02 DEBUG WPS2SM:285 - Max Megabytes: 1 2016-04-26 11:29:02 DEBUG WPS2SM:200 - MimeType: text/xml 2016-04-26 11:29:02 DEBUG WPS2SM:201 - Schema: null 2016-04-26 11:29:02 DEBUG WPS2SM:202 - Encoding: null 2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] 2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:OccurrencesTable 2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: TabularParameter [tableName= , templates=[], name=OccurrencesTable, description=A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets [a http link to a table in UTF-8 encoding following this template: (OCCURRENCE_SPECIES) http://goo.gl/4ExuR5] [Max MB Size:1; Min N. of Entries:1; Max N. of Entries:1], typology=TABULAR] 2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->LongitudeColumn is a Literal Input 2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: decimallongitude 2016-04-26 11:29:02 DEBUG WPS2SM:130 - Machter title: The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude] 2016-04-26 11:29:02 DEBUG WPS2SM:131 - Machter find: true 2016-04-26 11:29:02 DEBUG WPS2SM:132 - Machter group: the name of a column from OccurrencesTable 2016-04-26 11:29:02 DEBUG WPS2SM:133 - Machter start: 40 2016-04-26 11:29:02 DEBUG WPS2SM:134 - Machter end: 82 2016-04-26 11:29:02 DEBUG WPS2SM:135 - Machter Group Count: 1 2016-04-26 11:29:02 DEBUG WPS2SM:137 - Matcher referredTabularParameterName: OccurrencesTable 2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The column containing longitude values [the name of a column from OccurrencesTable] 2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:LongitudeColumn 2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: Parameter [name=LongitudeColumn, description=The column containing longitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallongitude], typology=COLUMN] 2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->LatitudeColumn is a Literal Input 2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: decimallatitude 2016-04-26 11:29:02 DEBUG WPS2SM:130 - Machter title: The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude] 2016-04-26 11:29:02 DEBUG WPS2SM:131 - Machter find: true 2016-04-26 11:29:02 DEBUG WPS2SM:132 - Machter group: the name of a column from OccurrencesTable 2016-04-26 11:29:02 DEBUG WPS2SM:133 - Machter start: 39 2016-04-26 11:29:02 DEBUG WPS2SM:134 - Machter end: 81 2016-04-26 11:29:02 DEBUG WPS2SM:135 - Machter Group Count: 1 2016-04-26 11:29:02 DEBUG WPS2SM:137 - Matcher referredTabularParameterName: OccurrencesTable 2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The column containing latitude values [the name of a column from OccurrencesTable] 2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:LatitudeColumn 2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: Parameter [name=LatitudeColumn, description=The column containing latitude values [the name of a column from OccurrencesTable] [Min N. of Entries:1; Max N. of Entries:1; default:decimallatitude], typology=COLUMN] 2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->XResolution is a Literal Input 2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Model projection resolution on the X axis in decimal degrees 2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:XResolution 2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=XResolution, description=Model projection resolution on the X axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->YResolution is a Literal Input 2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: 1 2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Model projection resolution on the Y axis in decimal degrees 2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:YResolution 2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=1, value=null, name=YResolution, description=Model projection resolution on the Y axis in decimal degrees [Min N. of Entries:1; Max N. of Entries:1; default:1], typology=OBJECT] 2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->Layers is a Literal Input 2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.String 2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: 2016-04-26 11:29:02 DEBUG WPS2SM:147 - Machter title: The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1] 2016-04-26 11:29:02 DEBUG WPS2SM:148 - Machter find: true 2016-04-26 11:29:02 DEBUG WPS2SM:149 - Machter group: a sequence of values separated by | 2016-04-26 11:29:02 DEBUG WPS2SM:150 - Machter start: 501 2016-04-26 11:29:02 DEBUG WPS2SM:151 - Machter end: 536 2016-04-26 11:29:02 DEBUG WPS2SM:152 - Machter Group Count: 1 2016-04-26 11:29:02 DEBUG WPS2SM:155 - Matcher separator: | 2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) 2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:Layers 2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ListParameter [type=java.lang.String, value=null, separator=|, name=Layers, description=The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. E.g. the title or the UUID (preferred) of a layer indexed in the e-Infrastructure on GeoNetwork - You can retrieve it from GeoExplorer. Otherwise you can supply the direct HTTP link of the layer. The format will be guessed from the link. The default is GeoTiff. Supports several standards (NETCDF, WFS, WCS, ASC, GeoTiff ). E.g. https://dl.dropboxusercontent.com/u/12809149/wind1.tif [a sequence of values separated by | ] (format: String) [Min N. of Entries:1; Max N. of Entries:1], typology=LIST] 2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->Z is a Literal Input 2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Double 2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: 0 2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer 2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:Z 2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Double, defaultValue=0, value=null, name=Z, description=Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT] 2016-04-26 11:29:02 DEBUG WPS2SM:254 - Conversion to SM Type->TimeIndex is a Literal Input 2016-04-26 11:29:02 DEBUG WPS2SM:93 - WPS type: 2016-04-26 11:29:02 DEBUG WPS2SM:95 - Guessed type: java.lang.Integer 2016-04-26 11:29:02 DEBUG WPS2SM:101 - Guessed default value: 0 2016-04-26 11:29:02 DEBUG WPS2SM:290 - Conversion to SM Type->Title:Time Index. The default is the first time indexed in the input environmental datasets 2016-04-26 11:29:02 DEBUG WPS2SM:291 - Conversion to SM Type->Name:TimeIndex 2016-04-26 11:29:02 DEBUG WPS2SM:292 - Conversion to SM Type->Number of Inputs to Manage:1 2016-04-26 11:29:02 DEBUG SClient4WPS:681 - InputParameter: ObjectParameter [type=java.lang.Integer, defaultValue=0, value=null, name=TimeIndex, description=Time Index. The default is the first time indexed in the input environmental datasets [Min N. of Entries:1; Max N. of Entries:1; default:0], typology=OBJECT] 2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:OutputTableLabel, value=maxent_ 2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:SpeciesName, value=Latimeria 2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:MaxIterations, value=1000 2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:DefaultPrevalence, value=-1.0 2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:OccurrencesTable, value=http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0 2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:LongitudeColumn, value=decimalLongitude 2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:LatitudeColumn, value=decimalLatitude 2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:XResolution, value=0.5 2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:YResolution, value=0.5 2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:Layers, value=fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31 2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:Z, value=0.0 2016-04-26 11:29:02 DEBUG SClient4WPS:689 - UserInputs= key:TimeIndex, value=0 2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: OutputTableLabel to: maxent_ 2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: SpeciesName to: Latimeria 2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: MaxIterations to: 1000 2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: DefaultPrevalence to: -1.0 2016-04-26 11:29:02 DEBUG SClient4WPS:748 - Configuring Complex: OccurrencesTable to: http://data-d.d4science.org/bVZIS3dkSCtWT2ZWVzJiZkRqZUFrR2llNkRBZ0haYzBHbWJQNStIS0N6Yz0 2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: LongitudeColumn to: decimalLongitude 2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: LatitudeColumn to: decimalLatitude 2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: XResolution to: 0.5 2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: YResolution to: 0.5 2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: Layers to: fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31 2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: Z to: 0.0 2016-04-26 11:29:02 DEBUG SClient4WPS:731 - Configuring Literal: TimeIndex to: 0 2016-04-26 11:29:02 INFO StatWPSClientSession:84 - CONNECT 2016-04-26 11:29:03 DEBUG SClient4WPS:380 - Sending: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING OutputTableLabel maxent_ SpeciesName Latimeria MaxIterations 1000 DefaultPrevalence -1.0 OccurrencesTable LongitudeColumn decimalLongitude LatitudeColumn decimalLatitude XResolution 0.5 YResolution 0.5 Layers fc9ac2f4-a2bd-43d1-a361-ac67c5ceac31 Z 0.0 TimeIndex 0 ASCII Maps of the environmental layers for checking features aligments OutputTable7 non_deterministic_output 2016-04-26 11:29:03 DEBUG StatWPSClientSession:420 - RetrieveDataViaPost(): http://dataminer1-d-d4s.d4science.org:80/wps/WebProcessingService? 2016-04-26 11:29:03 DEBUG SClient4WPS:399 - Retrieved ProcessLocation: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429 2016-04-26 11:29:03 INFO StatWPSClientSession:133 - service removed successfully: http://dataminer-d-d4s.d4science.org/wps/WebProcessingService 2016-04-26 11:29:03 DEBUG SClient4WPS:768 - Starting Process: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429 2016-04-26 11:29:03 DEBUG SClient4WPS:695 - Stated Computation ProcessLocation:http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429 2016-04-26 11:29:03 DEBUG SClient4WPS:706 - ComputationId: ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429] 2016-04-26 11:29:10 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:29:10 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 11:29:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 34 2016-04-26 11:29:13 DEBUG ASLSession:458 - Getting security token: null in thread 34 2016-04-26 11:29:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:29:13 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429] 2016-04-26 11:29:13 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 11:29:13 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 11:29:13 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429 2016-04-26 11:29:13 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:29:13 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:29:13 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:29:13 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING 2016-04-26 11:29:13 DEBUG SClient4WPS:872 - WPS STATUS:10.0 2016-04-26 11:29:13 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=10.0, status=RUNNING, endDate=null, message=null, errResource=null] 2016-04-26 11:29:23 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 11:29:23 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 11:29:23 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:29:23 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429] 2016-04-26 11:29:23 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 11:29:23 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 11:29:23 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429 2016-04-26 11:29:23 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:29:23 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:29:23 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:29:23 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING 2016-04-26 11:29:23 DEBUG SClient4WPS:872 - WPS STATUS:30.0 2016-04-26 11:29:23 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=30.0, status=RUNNING, endDate=null, message=null, errResource=null] 2016-04-26 11:29:33 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:29:33 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 11:29:33 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:29:33 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429] 2016-04-26 11:29:33 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 11:29:33 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 11:29:33 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429 2016-04-26 11:29:33 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:29:33 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:29:33 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:29:33 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING 2016-04-26 11:29:33 DEBUG SClient4WPS:872 - WPS STATUS:30.0 2016-04-26 11:29:33 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=30.0, status=RUNNING, endDate=null, message=null, errResource=null] 2016-04-26 11:29:43 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 33 2016-04-26 11:29:43 DEBUG ASLSession:458 - Getting security token: null in thread 33 2016-04-26 11:29:43 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:29:43 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429] 2016-04-26 11:29:43 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 11:29:43 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 11:29:43 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429 2016-04-26 11:29:43 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:29:43 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:29:43 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:29:43 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING 2016-04-26 11:29:43 DEBUG SClient4WPS:872 - WPS STATUS:70.0 2016-04-26 11:29:43 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=70.0, status=RUNNING, endDate=null, message=null, errResource=null] 2016-04-26 11:29:53 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 29 2016-04-26 11:29:53 DEBUG ASLSession:458 - Getting security token: null in thread 29 2016-04-26 11:29:53 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:29:53 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429] 2016-04-26 11:29:53 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 11:29:53 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 11:29:53 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429 2016-04-26 11:29:53 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:29:53 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:29:53 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:29:53 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING 2016-04-26 11:29:53 DEBUG SClient4WPS:872 - WPS STATUS:80.0 2016-04-26 11:29:53 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=80.0, status=RUNNING, endDate=null, message=null, errResource=null] 2016-04-26 11:30:03 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:30:03 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 11:30:03 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:30:03 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429] 2016-04-26 11:30:03 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 11:30:03 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 11:30:03 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429 2016-04-26 11:30:03 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:30:03 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:30:03 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:30:03 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING 2016-04-26 11:30:03 DEBUG SClient4WPS:872 - WPS STATUS:80.0 2016-04-26 11:30:03 DEBUG SClient4WPS:883 - ComputationStatus: ComputationStatus [percentage=80.0, status=RUNNING, endDate=null, message=null, errResource=null] 2016-04-26 11:30:05 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 32 2016-04-26 11:30:05 DEBUG ASLSession:458 - Getting security token: null in thread 32 2016-04-26 11:30:13 DEBUG DefaultScopeProvider:38 - setting scope /gcube/devsec/devVRE in thread 30 2016-04-26 11:30:13 DEBUG ASLSession:458 - Getting security token: null in thread 30 2016-04-26 11:30:13 INFO SessionUtil:74 - SessionUtil: aslSession giancarlo.panichi /gcube/devsec/devVRE 2016-04-26 11:30:13 DEBUG SClient4WPS:784 - GetComputationStatus(): ComputationId=ComputationId [id=50e8c29e-0f88-4433-ade0-be309b988429, urlId=http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429] 2016-04-26 11:30:13 INFO StatWPSClientSession:114 - CONNECT 2016-04-26 11:30:13 WARN StatWPSClientSession:120 - retrieving caps failed, caps are null 2016-04-26 11:30:13 DEBUG StatWPSClientSession:554 - ExecuteViaGet() Url: http://dataminer1-d-d4s.d4science.org:80/wps/RetrieveResultServlet?id=50e8c29e-0f88-4433-ade0-be309b988429 2016-04-26 11:30:13 DEBUG StatWPSClientSession:558 - auth string: giancarlo.panichi:f0666597-4302-49ce-bea2-555b94e569cb 2016-04-26 11:30:13 DEBUG StatWPSClientSession:561 - Base64 encoded auth string: Z2lhbmNhcmxvLnBhbmljaGk6ZjA2NjY1OTctNDMwMi00OWNlLWJlYTItNTU1Yjk0ZTU2OWNi 2016-04-26 11:30:13 DEBUG StatWPSClientSession:576 - ExecuteAsGETString as Document 2016-04-26 11:30:14 DEBUG SClient4WPS:800 - ComputationStatus ResponseObject: org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers.MAX_ENT_NICHE_MODELLING MAX_ENT_NICHE_MODELLING Process successful ASCII Maps of the environmental layers for checking features aligments ASCII Maps of the environmental layers for checking features aligments _____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________ _____________________________________________ ________ _ ____ __ __ ___ __________ _______________________________________________________________________________________________________________________________________________________ ____________ _______ ____ ________ _____ _____________________________________________________________________________________________________ ______________________________________________ __________ _ __ _ __ _____ _ _______ 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________________________________ _ __________ ___________ __ _ __________ ___ ___________________ ___ __________ ______________________________________________________________________________________________________________ _______________ _ _ __ ________________________________________________________________________________________________________ ________________________________ __ __________ _________ ____ _______ __ _____ __ _________________________ _________ __ _____ ___________________________________________________________________________________ ___ _________________ __________________ __ _ _____________________________________________________________________________________________________ ____________________________________________ ____________ _________ _ __ ____________________________ _ ______ ______________________________________________________________________________________________ ___________________ ____________________ __ ___ __ ___________________________________________________________________________________________________ ________________________________________ _ _ _________ _______ ______ _____________ _______________ _________ _____ _ _ _________________________________________________________________________________ __________________ _____________________ ____ _____ ____ ________ ________________________________________________________________________________________ ____________________________________ ____ __ _________ _______ ______ ___________ ___ _______ _______ ___ _ __________________________________________________________________________ _ _________________ ______________________________ __ __________________________________ _____________________________________________________________ _____________________________________ __ ____________ _____ ______ _ ___________ __ ______ ________ ____ ___ _______________________________________________________________________________________________ ____________________________ __ ________________________________________________________________________________________________ ____________________________________ ___ __________ _ __ _____ _____ ___ ____________ _ _______________ __ _____ __ _________________________________________________________________________ ____________________ __________________________ _ ____________________________ _ _____________________________________________________________ _____________________________________ __ __ _________ _ __ ______ ________ ____ __________ _ __ _____ ____ ___ ___ _ ___________________________________________________________________ ______________________ ______________________ ____ __________ ___________ _____________________________________________________________ ______________________________________ __ ________ _ __ _ ___ ______ _____ _ ____ ______ _ ______ _ __ _______ ____ _________________________________________________________________ _______________________ ______________________ ___________________ _______________________________________________________________ _______________________________________ _________ _ ___ ______ _________________________ __________ ____ ____ ___ _ __ _______________________________________________________________ _________________________ ___________________ ________________ ________________________________________________________________ ________________________________________ ___________ _ __ ______ _________ _________________ _____ ___ _____ ___ _________ _ __ __________________________________________________________________________________________ _________________ _______________ _________________________________________________________________ ___________________________________________________ _ _ __ ____________ ____________________________ ____ ______ _ ____ _ ____________________________________________________________________________________________ ____________ ____ 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________________ __________________________________________________ ___________________________________________ ___ ___ ________________ _ ____________________ ____________________________________________________ ____________ ____ _____________ __________________________________________________ ____________________________________ _____ _____ __________________ ___ ___________________ _____________________________________________________ _____ ___ ________ _ ____________________________________________________ _________________________ _ _ _ _ ____________ _________________ _ __ ___________________ ____________________________________________________ _____ __ _____ _________________________________________________ _________________________ __________________ ________________________ ________________________ ____________________________________________________ ______ _ ________________________________________________ ________________________ __________________ ________________________ _________________________ _____________________________________________________ ____________________________________________ ______________________ _____________________ ______________________ _____________________ _ ___________________________________________________ __ _____________________________________________ _____________________ ______________________ _ ___________________ ____________________ __ _ ____________________________________________________ ____________________________________________ ____________________ _______________________ _____ __________ _____ _________________ __ _____________________________________________________ ____________________________________ ___ ___________________ ________________________________ ______ ____ _________________ _ _________________________________________________ __ ___________________________ ___ ____________________ __________________________________ _____ ______________________ __ ____________________________________________________ _____ _________________________________ ___________________ ____________________________ _____________ _ ____________________ __ ____________________________________________________ _____ ________________________________ ________________ ____________________________ ________________ _ _ _______________ ____________________________________________________ _____ _______________ _________________ ________________ ________________________________________ _ _______ ___ ______________ ______________________________________________________ _____ __ _____ _ ________ ___________________ _____________________________________________________ ___ ______________ _________________________________________________________ ____ ___ _____ _____________________ ____________________________________ _______________ ___ _________________ __________________________________________________________ ___ __ __ ________________________ 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_____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________ _____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________ _____________________________________________________________________________________________ ____ ________ ____________________________________________________________________________ ______________________________ OutputTable7 Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] id,csquarecode,x,y,z,time,fvalue 1,5918:100:1,-180,-90,0,0,-0.00546026 2,5917:209:2,-179.5,-90,0,0,-0.00546392 3,5917:209:1,-179,-90,0,0,-0.00546511 4,5917:208:2,-178.5,-90,0,0,-0.00546392 5,5917:208:1,-178,-90,0,0,-0.00546511 6,5917:207:2,-177.5,-90,0,0,-0.00546633 7,5917:207:1,-177,-90,0,0,-0.00546878 8,5917:206:2,-176.5,-90,0,0,-0.00547 9,5917:206:1,-176,-90,0,0,-0.00547 10,5917:205:2,-175.5,-90,0,0,-0.00547119 11,5917:205:1,-175,-90,0,0,-0.00547119 12,5917:104:2,-174.5,-90,0,0,-0.00547241 13,5917:104:1,-174,-90,0,0,-0.00547364 14,5917:103:2,-173.5,-90,0,0,-0.00547364 15,5917:103:1,-173,-90,0,0,-0.00547486 16,5917:102:2,-172.5,-90,0,0,-0.00547486 17,5917:102:1,-172,-90,0,0,-0.00547605 18,5917:101:2,-171.5,-90,0,0,-0.00547605 19,5917:101:1,-171,-90,0,0,-0.00547605 20,5917:100:2,-170.5,-90,0,0,-0.00547727 21,5917:100:1,-170,-90,0,0,-0.00547727 22,5916:209:2,-169.5,-90,0,0,-0.0054785 23,5916:209:1,-169,-90,0,0,-0.0054785 24,5916:208:2,-168.5,-90,0,0,-0.0054785 25,5916:208:1,-168,-90,0,0,-0.00547972 26,5916:207:2,-167.5,-90,0,0,-0.00547972 27,5916:207:1,-167,-90,0,0,-0.00548091 28,5916:206:2,-166.5,-90,0,0,-0.00548091 29,5916:206:1,-166,-90,0,0,-0.00547972 30,5916:205:2,-165.5,-90,0,0,-0.00547972 31,5916:205:1,-165,-90,0,0,-0.00547972 32,5916:104:2,-164.5,-90,0,0,-0.00547972 33,5916:104:1,-164,-90,0,0,-0.00547972 34,5916:103:2,-163.5,-90,0,0,-0.00547972 35,5916:103:1,-163,-90,0,0,-0.00548091 36,5916:102:2,-162.5,-90,0,0,-0.00548091 37,5916:102:1,-162,-90,0,0,-0.00548091 38,5916:101:2,-161.5,-90,0,0,-0.00548091 39,5916:101:1,-161,-90,0,0,-0.00548214 40,5916:100:2,-160.5,-90,0,0,-0.00548337 41,5916:100:1,-160,-90,0,0,-0.00548459 42,5915:209:2,-159.5,-90,0,0,-0.00548582 43,5915:209:1,-159,-90,0,0,-0.00548582 44,5915:208:2,-158.5,-90,0,0,-0.00548701 45,5915:208:1,-158,-90,0,0,-0.00548824 46,5915:207:2,-157.5,-90,0,0,-0.00548824 47,5915:207:1,-157,-90,0,0,-0.00548701 48,5915:206:2,-156.5,-90,0,0,-0.00548701 49,5915:206:1,-156,-90,0,0,-0.00548824 50,5915:205:2,-155.5,-90,0,0,-0.00548947 51,5915:205:1,-155,-90,0,0,-0.00548947 52,5915:104:2,-154.5,-90,0,0,-0.00548701 53,5915:104:1,-154,-90,0,0,-0.00548701 54,5915:103:2,-153.5,-90,0,0,-0.00548824 55,5915:103:1,-153,-90,0,0,-0.00548947 56,5915:102:2,-152.5,-90,0,0,-0.00548947 57,5915:102:1,-152,-90,0,0,-0.00548824 58,5915:101:2,-151.5,-90,0,0,-0.00548582 59,5915:101:1,-151,-90,0,0,-0.00548582 60,5915:100:2,-150.5,-90,0,0,-0.00548582 61,5915:100:1,-150,-90,0,0,-0.00548582 62,5914:209:2,-149.5,-90,0,0,-0.00548582 63,5914:209:1,-149,-90,0,0,-0.00548459 64,5914:208:2,-148.5,-90,0,0,-0.00548459 65,5914:208:1,-148,-90,0,0,-0.00548459 66,5914:207:2,-147.5,-90,0,0,-0.00548459 67,5914:207:1,-147,-90,0,0,-0.00548337 68,5914:206:2,-146.5,-90,0,0,-0.00548337 69,5914:206:1,-146,-90,0,0,-0.00548214 70,5914:205:2,-145.5,-90,0,0,-0.00548214 71,5914:205:1,-145,-90,0,0,-0.00548214 72,5914:104:2,-144.5,-90,0,0,-0.00548091 73,5914:104:1,-144,-90,0,0,-0.00548091 74,5914:103:2,-143.5,-90,0,0,-0.00548091 75,5914:103:1,-143,-90,0,0,-0.00548214 76,5914:102:2,-142.5,-90,0,0,-0.00548214 77,5914:102:1,-142,-90,0,0,-0.00548091 78,5914:101:2,-141.5,-90,0,0,-0.00547972 79,5914:101:1,-141,-90,0,0,-0.00548091 80,5914:100:2,-140.5,-90,0,0,-0.00548091 81,5914:100:1,-140,-90,0,0,-0.00548214 82,5913:209:2,-139.5,-90,0,0,-0.00548214 83,5913:209:1,-139,-90,0,0,-0.00548214 84,5913:208:2,-138.5,-90,0,0,-0.00548214 85,5913:208:1,-138,-90,0,0,-0.00548337 86,5913:207:2,-137.5,-90,0,0,-0.00548947 87,5913:207:1,-137,-90,0,0,-0.00550777 88,5913:206:2,-136.5,-90,0,0,-0.005536 89,5913:206:1,-136,-90,0,0,-0.00560158 90,5913:205:2,-135.5,-90,0,0,-0.00584441 91,5913:205:1,-135,-90,0,0,-0.00592286 92,5913:104:2,-134.5,-90,0,0,-0.00591106 93,5913:104:1,-134,-90,0,0,-0.00596912 94,5911:100:1,-110,-90,0,0,-0.00698226 95,5910:209:2,-109.5,-90,0,0,-0.00750095 96,5910:209:1,-109,-90,0,0,-0.00796395 97,5910:208:2,-108.5,-90,0,0,-0.00791092 98,5910:206:1,-106,-90,0,0,-0.005619 99,5910:205:2,-105.5,-90,0,0,-0.00555077 100,5910:205:1,-105,-90,0,0,-0.00552617 101,5910:104:2,-104.5,-90,0,0,-0.0055446 102,5910:104:1,-104,-90,0,0,-0.00578243 103,5910:103:2,-103.5,-90,0,0,-0.00623081 104,5910:103:1,-103,-90,0,0,-0.0065446 105,5910:102:2,-102.5,-90,0,0,-0.00661925 106,5906:101:2,-61.5,-90,0,0,-0.00552861 107,5906:101:1,-61,-90,0,0,-0.00552127 108,5906:100:2,-60.5,-90,0,0,-0.00550288 109,5906:100:1,-60,-90,0,0,-0.00548947 110,5905:209:2,-59.5,-90,0,0,-0.0054785 111,5905:209:1,-59,-90,0,0,-0.00546511 112,5905:208:2,-58.5,-90,0,0,-0.00545541 113,5905:208:1,-58,-90,0,0,-0.005453 114,5905:207:2,-57.5,-90,0,0,-0.00545179 115,5905:207:1,-57,-90,0,0,-0.00545057 116,5905:206:2,-56.5,-90,0,0,-0.00544935 117,5905:206:1,-56,-90,0,0,-0.00544935 118,5905:205:2,-55.5,-90,0,0,-0.00544935 119,5905:205:1,-55,-90,0,0,-0.00545057 120,5905:104:2,-54.5,-90,0,0,-0.00545057 121,5905:104:1,-54,-90,0,0,-0.00545057 122,5905:103:2,-53.5,-90,0,0,-0.00545057 123,5905:103:1,-53,-90,0,0,-0.00545179 124,5905:102:2,-52.5,-90,0,0,-0.005453 125,5905:102:1,-52,-90,0,0,-0.00545423 126,5905:101:2,-51.5,-90,0,0,-0.00545423 127,5905:101:1,-51,-90,0,0,-0.00545541 128,5905:100:2,-50.5,-90,0,0,-0.00545541 129,5905:100:1,-50,-90,0,0,-0.00545541 130,5904:209:2,-49.5,-90,0,0,-0.00545541 131,5904:209:1,-49,-90,0,0,-0.00545541 132,5904:208:2,-48.5,-90,0,0,-0.00545423 133,5904:208:1,-48,-90,0,0,-0.005453 134,5904:207:2,-47.5,-90,0,0,-0.005453 135,5904:207:1,-47,-90,0,0,-0.00545663 136,5904:206:2,-46.5,-90,0,0,-0.00545907 137,5904:206:1,-46,-90,0,0,-0.00546148 138,5904:205:2,-45.5,-90,0,0,-0.00546392 139,5904:205:1,-45,-90,0,0,-0.00546633 140,5904:104:2,-44.5,-90,0,0,-0.00546511 141,5904:104:1,-44,-90,0,0,-0.00546511 142,5904:103:2,-43.5,-90,0,0,-0.00546511 143,5904:103:1,-43,-90,0,0,-0.00546511 144,5904:102:2,-42.5,-90,0,0,-0.00546392 145,5904:102:1,-42,-90,0,0,-0.00546392 146,5904:101:2,-41.5,-90,0,0,-0.00546511 147,5904:101:1,-41,-90,0,0,-0.00546511 148,5904:100:2,-40.5,-90,0,0,-0.00546633 149,5904:100:1,-40,-90,0,0,-0.00546755 150,5903:209:2,-39.5,-90,0,0,-0.00546755 151,5903:209:1,-39,-90,0,0,-0.00546755 152,5903:208:2,-38.5,-90,0,0,-0.00546755 153,5903:208:1,-38,-90,0,0,-0.00546755 154,5903:207:2,-37.5,-90,0,0,-0.00546878 155,5903:207:1,-37,-90,0,0,-0.00546755 156,5903:206:2,-36.5,-90,0,0,-0.00546755 157,5903:206:1,-36,-90,0,0,-0.00546755 158,5903:205:2,-35.5,-90,0,0,-0.00546755 159,5903:205:1,-35,-90,0,0,-0.00546878 160,5903:104:2,-34.5,-90,0,0,-0.00546878 161,5903:104:1,-34,-90,0,0,-0.00546755 162,5903:103:2,-33.5,-90,0,0,-0.00546755 163,5903:103:1,-33,-90,0,0,-0.00546755 164,5903:102:2,-32.5,-90,0,0,-0.00546878 165,5903:102:1,-32,-90,0,0,-0.00546878 166,5903:101:2,-31.5,-90,0,0,-0.00546878 167,5903:101:1,-31,-90,0,0,-0.00547 168,5903:100:2,-30.5,-90,0,0,-0.00546878 169,5903:100:1,-30,-90,0,0,-0.00547 170,5902:209:2,-29.5,-90,0,0,-0.00547119 171,5902:209:1,-29,-90,0,0,-0.00547 172,5902:208:2,-28.5,-90,0,0,-0.00546878 173,5902:208:1,-28,-90,0,0,-0.00546755 174,5902:207:2,-27.5,-90,0,0,-0.00546633 175,5902:207:1,-27,-90,0,0,-0.00546511 176,5902:206:2,-26.5,-90,0,0,-0.00553848 177,5902:206:1,-26,-90,0,0,-0.00565409 178,5902:205:2,-25.5,-90,0,0,-0.00561402 179,5902:205:1,-25,-90,0,0,-0.00557672 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1819,5804:469:1,-49,-86,0,0,-0.00545541 1820,5804:468:2,-48.5,-86,0,0,-0.00545423 1821,5804:468:1,-48,-86,0,0,-0.005453 1822,5804:467:2,-47.5,-86,0,0,-0.005453 1823,5804:467:1,-47,-86,0,0,-0.00545663 1824,5804:466:2,-46.5,-86,0,0,-0.00545907 1825,5804:466:1,-46,-86,0,0,-0.00546148 1826,5804:465:2,-45.5,-86,0,0,-0.00546392 1827,5804:465:1,-45,-86,0,0,-0.00546633 1828,5804:364:2,-44.5,-86,0,0,-0.00546511 1829,5804:364:1,-44,-86,0,0,-0.00546511 1830,5804:363:2,-43.5,-86,0,0,-0.00546511 1831,5804:363:1,-43,-86,0,0,-0.00546511 1832,5804:362:2,-42.5,-86,0,0,-0.00546392 1833,5804:362:1,-42,-86,0,0,-0.00546392 1834,5804:361:2,-41.5,-86,0,0,-0.00546511 1835,5804:361:1,-41,-86,0,0,-0.00546511 1836,5804:360:2,-40.5,-86,0,0,-0.00546633 1837,5804:360:1,-40,-86,0,0,-0.00546755 1838,5803:469:2,-39.5,-86,0,0,-0.00546755 1839,5803:469:1,-39,-86,0,0,-0.00546755 1840,5803:468:2,-38.5,-86,0,0,-0.00546755 1841,5803:468:1,-38,-86,0,0,-0.00546755 1842,5803:467:2,-37.5,-86,0,0,-0.00546878 1843,5803:467:1,-37,-86,0,0,-0.00546755 1844,5803:466:2,-36.5,-86,0,0,-0.00546755 1845,5803:466:1,-36,-86,0,0,-0.00546755 1846,5803:465:2,-35.5,-86,0,0,-0.00546755 1847,5803:465:1,-35,-86,0,0,-0.00546878 1848,5803:364:2,-34.5,-86,0,0,-0.00546878 1849,5803:364:1,-34,-86,0,0,-0.00546755 1850,5803:363:2,-33.5,-86,0,0,-0.00546755 1851,5803:363:1,-33,-86,0,0,-0.00546755 1852,5803:362:2,-32.5,-86,0,0,-0.00546878 1853,5803:362:1,-32,-86,0,0,-0.00546878 1854,5803:361:2,-31.5,-86,0,0,-0.00546878 1855,5803:361:1,-31,-86,0,0,-0.00547 1856,5803:360:2,-30.5,-86,0,0,-0.00546878 1857,5803:360:1,-30,-86,0,0,-0.00547 1858,5802:469:2,-29.5,-86,0,0,-0.00547119 1859,5802:469:1,-29,-86,0,0,-0.00547 1860,5802:468:2,-28.5,-86,0,0,-0.00546878 1861,5802:468:1,-28,-86,0,0,-0.00546755 1862,5802:467:2,-27.5,-86,0,0,-0.00546633 1863,5802:467:1,-27,-86,0,0,-0.00546511 1864,5802:466:2,-26.5,-86,0,0,-0.00553848 1865,5802:466:1,-26,-86,0,0,-0.00565409 1866,5802:465:2,-25.5,-86,0,0,-0.00561402 1867,5802:465:1,-25,-86,0,0,-0.00557672 1868,5802:364:2,-24.5,-86,0,0,-0.00581851 1869,5802:364:1,-24,-86,0,0,-0.00615781 1870,3816:465:2,165.5,-86,0,0,-0.0055225 1871,3816:466:1,166,-86,0,0,-0.00550411 1872,3816:466:2,166.5,-86,0,0,-0.00548091 1873,3816:467:1,167,-86,0,0,-0.00547241 1874,3816:467:2,167.5,-86,0,0,-0.00546633 1875,3816:468:1,168,-86,0,0,-0.00545907 1876,3816:468:2,168.5,-86,0,0,-0.00545057 1877,3816:469:1,169,-86,0,0,-0.00544451 1878,3816:469:2,169.5,-86,0,0,-0.00544211 1879,3817:360:1,170,-86,0,0,-0.00544333 1880,3817:360:2,170.5,-86,0,0,-0.00544333 1881,3817:361:1,171,-86,0,0,-0.00544089 1882,3817:361:2,171.5,-86,0,0,-0.00569445 1883,3817:362:1,172,-86,0,0,-0.00650255 1884,3817:362:2,172.5,-86,0,0,-0.00744774 1885,3817:363:1,173,-86,0,0,-0.00792146 1886,3817:363:2,173.5,-86,0,0,-0.00790914 1887,3817:364:1,174,-86,0,0,-0.00786525 1888,3817:364:2,174.5,-86,0,0,-0.00783724 1889,3817:465:1,175,-86,0,0,-0.00782681 1890,3817:465:2,175.5,-86,0,0,-0.00778162 1891,3817:466:1,176,-86,0,0,-0.00760351 1892,3817:466:2,176.5,-86,0,0,-0.00631868 1893,3817:467:1,177,-86,0,0,-0.00551024 1894,3817:467:2,177.5,-86,0,0,-0.00544089 1895,3817:468:1,178,-86,0,0,-0.00544211 1896,3817:468:2,178.5,-86,0,0,-0.00544816 1897,3817:469:1,179,-86,0,0,-0.005453 1898,3817:469:2,179.5,-86,0,0,-0.00545663 1899,3818:360:1,180,-86,0,0,-0.00546026 1900,5818:350:3,-180,-85.5,0,0,-0.00546026 1901,5817:459:4,-179.5,-85.5,0,0,-0.00546392 1902,5817:459:3,-179,-85.5,0,0,-0.00546511 1903,5817:458:4,-178.5,-85.5,0,0,-0.00546392 1904,5817:458:3,-178,-85.5,0,0,-0.00546511 1905,5817:457:4,-177.5,-85.5,0,0,-0.00546633 1906,5817:457:3,-177,-85.5,0,0,-0.00546878 1907,5817:456:4,-176.5,-85.5,0,0,-0.00547 1908,5817:456:3,-176,-85.5,0,0,-0.00547 1909,5817:455:4,-175.5,-85.5,0,0,-0.00547119 1910,5817:455:3,-175,-85.5,0,0,-0.00547119 1911,5817:354:4,-174.5,-85.5,0,0,-0.00547241 1912,5817:354:3,-174,-85.5,0,0,-0.00547364 1913,5817:353:4,-173.5,-85.5,0,0,-0.00547364 1914,5817:353:3,-173,-85.5,0,0,-0.00547486 1915,5817:352:4,-172.5,-85.5,0,0,-0.00547486 1916,5817:352:3,-172,-85.5,0,0,-0.00547605 1917,5817:351:4,-171.5,-85.5,0,0,-0.00547605 1918,5817:351:3,-171,-85.5,0,0,-0.00547605 1919,5817:350:4,-170.5,-85.5,0,0,-0.00547727 1920,5817:350:3,-170,-85.5,0,0,-0.00547727 1921,5816:459:4,-169.5,-85.5,0,0,-0.0054785 1922,5816:459:3,-169,-85.5,0,0,-0.0054785 1923,5816:458:4,-168.5,-85.5,0,0,-0.0054785 1924,5816:458:3,-168,-85.5,0,0,-0.00547972 1925,5816:457:4,-167.5,-85.5,0,0,-0.00547972 1926,5816:457:3,-167,-85.5,0,0,-0.00548091 1927,5816:456:4,-166.5,-85.5,0,0,-0.00548091 1928,5816:456:3,-166,-85.5,0,0,-0.00547972 1929,5816:455:4,-165.5,-85.5,0,0,-0.00547972 1930,5816:455:3,-165,-85.5,0,0,-0.00547972 1931,5816:354:4,-164.5,-85.5,0,0,-0.00547972 1932,5816:354:3,-164,-85.5,0,0,-0.00547972 1933,5816:353:4,-163.5,-85.5,0,0,-0.00547972 1934,5816:353:3,-163,-85.5,0,0,-0.00548091 1935,5816:352:4,-162.5,-85.5,0,0,-0.00548091 1936,5816:352:3,-162,-85.5,0,0,-0.00548091 1937,5816:351:4,-161.5,-85.5,0,0,-0.00548091 1938,5816:351:3,-161,-85.5,0,0,-0.00548214 1939,5816:350:4,-160.5,-85.5,0,0,-0.00548337 1940,5816:350:3,-160,-85.5,0,0,-0.00548459 1941,5815:459:4,-159.5,-85.5,0,0,-0.00548582 1942,5815:459:3,-159,-85.5,0,0,-0.00548582 1943,5815:458:4,-158.5,-85.5,0,0,-0.00548701 1944,5815:458:3,-158,-85.5,0,0,-0.00548824 1945,5815:457:4,-157.5,-85.5,0,0,-0.00548824 1946,5815:457:3,-157,-85.5,0,0,-0.00548701 1947,5815:456:4,-156.5,-85.5,0,0,-0.00548701 1948,5815:456:3,-156,-85.5,0,0,-0.00548824 1949,5815:455:4,-155.5,-85.5,0,0,-0.00548947 1950,5815:455:3,-155,-85.5,0,0,-0.00548947 1951,5815:354:4,-154.5,-85.5,0,0,-0.00548701 1952,5815:354:3,-154,-85.5,0,0,-0.00548701 1953,5815:353:4,-153.5,-85.5,0,0,-0.00548824 1954,5815:353:3,-153,-85.5,0,0,-0.00548947 1955,5815:352:4,-152.5,-85.5,0,0,-0.00548947 1956,5815:352:3,-152,-85.5,0,0,-0.00548824 1957,5815:351:4,-151.5,-85.5,0,0,-0.00548582 1958,5815:351:3,-151,-85.5,0,0,-0.00548582 1959,5815:350:4,-150.5,-85.5,0,0,-0.00548582 1960,5815:350:3,-150,-85.5,0,0,-0.00548582 1961,5814:459:4,-149.5,-85.5,0,0,-0.00548582 1962,5814:459:3,-149,-85.5,0,0,-0.00548459 1963,5814:458:4,-148.5,-85.5,0,0,-0.00548459 1964,5814:458:3,-148,-85.5,0,0,-0.00548459 1965,5814:457:4,-147.5,-85.5,0,0,-0.00548459 1966,5814:457:3,-147,-85.5,0,0,-0.00548337 1967,5814:456:4,-146.5,-85.5,0,0,-0.00548337 1968,5814:456:3,-146,-85.5,0,0,-0.00548214 1969,5814:455:4,-145.5,-85.5,0,0,-0.00548214 1970,5814:455:3,-145,-85.5,0,0,-0.00548214 1971,5814:354:4,-144.5,-85.5,0,0,-0.00548091 1972,5814:354:3,-144,-85.5,0,0,-0.00548091 1973,5814:353:4,-143.5,-85.5,0,0,-0.00548091 1974,5814:353:3,-143,-85.5,0,0,-0.00548214 1975,5814:352:4,-142.5,-85.5,0,0,-0.00548214 1976,5814:352:3,-142,-85.5,0,0,-0.00548091 1977,5814:351:4,-141.5,-85.5,0,0,-0.00547972 1978,5814:351:3,-141,-85.5,0,0,-0.00548091 1979,5814:350:4,-140.5,-85.5,0,0,-0.00548091 1980,5814:350:3,-140,-85.5,0,0,-0.00548214 1981,5813:459:4,-139.5,-85.5,0,0,-0.00548214 1982,5813:459:3,-139,-85.5,0,0,-0.00548214 1983,5813:458:4,-138.5,-85.5,0,0,-0.00548214 1984,5813:458:3,-138,-85.5,0,0,-0.00548337 1985,5813:457:4,-137.5,-85.5,0,0,-0.00548947 1986,5813:457:3,-137,-85.5,0,0,-0.00550777 1987,5813:456:4,-136.5,-85.5,0,0,-0.005536 1988,5813:456:3,-136,-85.5,0,0,-0.00560158 1989,5813:455:4,-135.5,-85.5,0,0,-0.00584441 1990,5813:455:3,-135,-85.5,0,0,-0.00592286 1991,5813:354:4,-134.5,-85.5,0,0,-0.00591106 1992,5813:354:3,-134,-85.5,0,0,-0.00596912 1993,5811:350:3,-110,-85.5,0,0,-0.00698226 1994,5810:459:4,-109.5,-85.5,0,0,-0.00750095 1995,5810:459:3,-109,-85.5,0,0,-0.00796395 1996,5810:458:4,-108.5,-85.5,0,0,-0.00791092 1997,5810:456:3,-106,-85.5,0,0,-0.005619 1998,5810:455:4,-105.5,-85.5,0,0,-0.00555077 1999,5810:455:3,-105,-85.5,0,0,-0.00552617 2000,5810:354:4,-104.5,-85.5,0,0,-0.0055446 2001,5810:354:3,-104,-85.5,0,0,-0.00578243 2002,5810:353:4,-103.5,-85.5,0,0,-0.00623081 2003,5810:353:3,-103,-85.5,0,0,-0.0065446 2004,5810:352:4,-102.5,-85.5,0,0,-0.00661925 2005,5806:351:4,-61.5,-85.5,0,0,-0.00552861 2006,5806:351:3,-61,-85.5,0,0,-0.00552127 2007,5806:350:4,-60.5,-85.5,0,0,-0.00550288 2008,5806:350:3,-60,-85.5,0,0,-0.00548947 2009,5805:459:4,-59.5,-85.5,0,0,-0.0054785 2010,5805:459:3,-59,-85.5,0,0,-0.00546511 2011,5805:458:4,-58.5,-85.5,0,0,-0.00545541 2012,5805:458:3,-58,-85.5,0,0,-0.005453 2013,5805:457:4,-57.5,-85.5,0,0,-0.00545179 2014,5805:457:3,-57,-85.5,0,0,-0.00545057 2015,5805:456:4,-56.5,-85.5,0,0,-0.00544935 2016,5805:456:3,-56,-85.5,0,0,-0.00544935 2017,5805:455:4,-55.5,-85.5,0,0,-0.00544935 2018,5805:455:3,-55,-85.5,0,0,-0.00545057 2019,5805:354:4,-54.5,-85.5,0,0,-0.00545057 2020,5805:354:3,-54,-85.5,0,0,-0.00545057 2021,5805:353:4,-53.5,-85.5,0,0,-0.00545057 2022,5805:353:3,-53,-85.5,0,0,-0.00545179 2023,5805:352:4,-52.5,-85.5,0,0,-0.005453 2024,5805:352:3,-52,-85.5,0,0,-0.00545423 2025,5805:351:4,-51.5,-85.5,0,0,-0.00545423 2026,5805:351:3,-51,-85.5,0,0,-0.00545541 2027,5805:350:4,-50.5,-85.5,0,0,-0.00545541 2028,5805:350:3,-50,-85.5,0,0,-0.00545541 2029,5804:459:4,-49.5,-85.5,0,0,-0.00545541 2030,5804:459:3,-49,-85.5,0,0,-0.00545541 2031,5804:458:4,-48.5,-85.5,0,0,-0.00545423 2032,5804:458:3,-48,-85.5,0,0,-0.005453 2033,5804:457:4,-47.5,-85.5,0,0,-0.005453 2034,5804:457:3,-47,-85.5,0,0,-0.00545663 2035,5804:456:4,-46.5,-85.5,0,0,-0.00545907 2036,5804:456:3,-46,-85.5,0,0,-0.00546148 2037,5804:455:4,-45.5,-85.5,0,0,-0.00546392 2038,5804:455:3,-45,-85.5,0,0,-0.00546633 2039,5804:354:4,-44.5,-85.5,0,0,-0.00546511 2040,5804:354:3,-44,-85.5,0,0,-0.00546511 2041,5804:353:4,-43.5,-85.5,0,0,-0.00546511 2042,5804:353:3,-43,-85.5,0,0,-0.00546511 2043,5804:352:4,-42.5,-85.5,0,0,-0.00546392 2044,5804:352:3,-42,-85.5,0,0,-0.00546392 2045,5804:351:4,-41.5,-85.5,0,0,-0.00546511 2046,5804:351:3,-41,-85.5,0,0,-0.00546511 2047,5804:350:4,-40.5,-85.5,0,0,-0.00546633 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142145,1601:487:1,17,68,0,0,-0.0122342 142146,1601:487:2,17.5,68,0,0,-0.0104768 142147,1601:488:1,18,68,0,0,-0.0100172 142148,1601:488:2,18.5,68,0,0,-0.00901225 142149,1602:381:1,21,68,0,0,-0.0060064 142150,1602:381:2,21.5,68,0,0,-0.00703685 142151,1602:382:1,22,68,0,0,-0.00724177 142152,1602:382:2,22.5,68,0,0,-0.00617287 142153,1614:381:1,141,68,0,0,-0.00610329 142154,1614:381:2,141.5,68,0,0,-0.00608432 142155,1614:382:1,142,68,0,0,-0.00606544 142156,1614:382:2,142.5,68,0,0,-0.00604388 142157,1614:383:1,143,68,0,0,-0.00600775 142158,1614:383:2,143.5,68,0,0,-0.00596119 142159,1614:384:1,144,68,0,0,-0.00591234 142160,1614:384:2,144.5,68,0,0,-0.00586263 142161,1614:485:1,145,68,0,0,-0.00580688 142162,1614:485:2,145.5,68,0,0,-0.00576829 142163,1614:486:1,146,68,0,0,-0.005767 142164,1614:486:2,146.5,68,0,0,-0.00577471 142165,1614:487:1,147,68,0,0,-0.00576959 142166,1614:487:2,147.5,68,0,0,-0.00576446 142167,1614:488:1,148,68,0,0,-0.00575548 142168,1614:488:2,148.5,68,0,0,-0.00575806 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151217,7910:206:1,-106,90,0,0,-0.005619 151218,7910:205:2,-105.5,90,0,0,-0.00555077 151219,7910:205:1,-105,90,0,0,-0.00552617 151220,7910:104:2,-104.5,90,0,0,-0.0055446 151221,7910:104:1,-104,90,0,0,-0.00578243 151222,7910:103:2,-103.5,90,0,0,-0.00623081 151223,7910:103:1,-103,90,0,0,-0.0065446 151224,7910:102:2,-102.5,90,0,0,-0.00661925 151225,7906:101:2,-61.5,90,0,0,-0.00552861 151226,7906:101:1,-61,90,0,0,-0.00552127 151227,7906:100:2,-60.5,90,0,0,-0.00550288 151228,7906:100:1,-60,90,0,0,-0.00548947 151229,7905:209:2,-59.5,90,0,0,-0.0054785 151230,7905:209:1,-59,90,0,0,-0.00546511 151231,7905:208:2,-58.5,90,0,0,-0.00545541 151232,7905:208:1,-58,90,0,0,-0.005453 151233,7905:207:2,-57.5,90,0,0,-0.00545179 151234,7905:207:1,-57,90,0,0,-0.00545057 151235,7905:206:2,-56.5,90,0,0,-0.00544935 151236,7905:206:1,-56,90,0,0,-0.00544935 151237,7905:205:2,-55.5,90,0,0,-0.00544935 151238,7905:205:1,-55,90,0,0,-0.00545057 151239,7905:104:2,-54.5,90,0,0,-0.00545057 151240,7905:104:1,-54,90,0,0,-0.00545057 151241,7905:103:2,-53.5,90,0,0,-0.00545057 151242,7905:103:1,-53,90,0,0,-0.00545179 151243,7905:102:2,-52.5,90,0,0,-0.005453 151244,7905:102:1,-52,90,0,0,-0.00545423 151245,7905:101:2,-51.5,90,0,0,-0.00545423 151246,7905:101:1,-51,90,0,0,-0.00545541 151247,7905:100:2,-50.5,90,0,0,-0.00545541 151248,7905:100:1,-50,90,0,0,-0.00545541 151249,7904:209:2,-49.5,90,0,0,-0.00545541 151250,7904:209:1,-49,90,0,0,-0.00545541 151251,7904:208:2,-48.5,90,0,0,-0.00545423 151252,7904:208:1,-48,90,0,0,-0.005453 151253,7904:207:2,-47.5,90,0,0,-0.005453 151254,7904:207:1,-47,90,0,0,-0.00545663 151255,7904:206:2,-46.5,90,0,0,-0.00545907 151256,7904:206:1,-46,90,0,0,-0.00546148 151257,7904:205:2,-45.5,90,0,0,-0.00546392 151258,7904:205:1,-45,90,0,0,-0.00546633 151259,7904:104:2,-44.5,90,0,0,-0.00546511 151260,7904:104:1,-44,90,0,0,-0.00546511 151261,7904:103:2,-43.5,90,0,0,-0.00546511 151262,7904:103:1,-43,90,0,0,-0.00546511 151263,7904:102:2,-42.5,90,0,0,-0.00546392 151264,7904:102:1,-42,90,0,0,-0.00546392 151265,7904:101:2,-41.5,90,0,0,-0.00546511 151266,7904:101:1,-41,90,0,0,-0.00546511 151267,7904:100:2,-40.5,90,0,0,-0.00546633 151268,7904:100:1,-40,90,0,0,-0.00546755 151269,7903:209:2,-39.5,90,0,0,-0.00546755 151270,7903:209:1,-39,90,0,0,-0.00546755 151271,7903:208:2,-38.5,90,0,0,-0.00546755 151272,7903:208:1,-38,90,0,0,-0.00546755 151273,7903:207:2,-37.5,90,0,0,-0.00546878 151274,7903:207:1,-37,90,0,0,-0.00546755 151275,7903:206:2,-36.5,90,0,0,-0.00546755 151276,7903:206:1,-36,90,0,0,-0.00546755 151277,7903:205:2,-35.5,90,0,0,-0.00546755 151278,7903:205:1,-35,90,0,0,-0.00546878 151279,7903:104:2,-34.5,90,0,0,-0.00546878 151280,7903:104:1,-34,90,0,0,-0.00546755 151281,7903:103:2,-33.5,90,0,0,-0.00546755 151282,7903:103:1,-33,90,0,0,-0.00546755 151283,7903:102:2,-32.5,90,0,0,-0.00546878 151284,7903:102:1,-32,90,0,0,-0.00546878 151285,7903:101:2,-31.5,90,0,0,-0.00546878 151286,7903:101:1,-31,90,0,0,-0.00547 151287,7903:100:2,-30.5,90,0,0,-0.00546878 151288,7903:100:1,-30,90,0,0,-0.00547 151289,7902:209:2,-29.5,90,0,0,-0.00547119 151290,7902:209:1,-29,90,0,0,-0.00547 151291,7902:208:2,-28.5,90,0,0,-0.00546878 151292,7902:208:1,-28,90,0,0,-0.00546755 151293,7902:207:2,-27.5,90,0,0,-0.00546633 151294,7902:207:1,-27,90,0,0,-0.00546511 151295,7902:206:2,-26.5,90,0,0,-0.00553848 151296,7902:206:1,-26,90,0,0,-0.00565409 151297,7902:205:2,-25.5,90,0,0,-0.00561402 151298,7902:205:1,-25,90,0,0,-0.00557672 151299,7902:104:2,-24.5,90,0,0,-0.00581851 151300,7902:104:1,-24,90,0,0,-0.00615781 151301,1916:205:2,165.5,90,0,0,-0.0055225 151302,1916:206:1,166,90,0,0,-0.00550411 151303,1916:206:2,166.5,90,0,0,-0.00548091 151304,1916:207:1,167,90,0,0,-0.00547241 151305,1916:207:2,167.5,90,0,0,-0.00546633 151306,1916:208:1,168,90,0,0,-0.00545907 151307,1916:208:2,168.5,90,0,0,-0.00545057 151308,1916:209:1,169,90,0,0,-0.00544451 151309,1916:209:2,169.5,90,0,0,-0.00544211 151310,1917:100:1,170,90,0,0,-0.00544333 151311,1917:100:2,170.5,90,0,0,-0.00544333 151312,1917:101:1,171,90,0,0,-0.00544089 151313,1917:101:2,171.5,90,0,0,-0.00569445 151314,1917:102:1,172,90,0,0,-0.00650255 151315,1917:102:2,172.5,90,0,0,-0.00744774 151316,1917:103:1,173,90,0,0,-0.00792146 151317,1917:103:2,173.5,90,0,0,-0.00790914 151318,1917:104:1,174,90,0,0,-0.00786525 151319,1917:104:2,174.5,90,0,0,-0.00783724 151320,1917:205:1,175,90,0,0,-0.00782681 151321,1917:205:2,175.5,90,0,0,-0.00778162 151322,1917:206:1,176,90,0,0,-0.00760351 151323,1917:206:2,176.5,90,0,0,-0.00631868 151324,1917:207:1,177,90,0,0,-0.00551024 151325,1917:207:2,177.5,90,0,0,-0.00544089 151326,1917:208:1,178,90,0,0,-0.00544211 151327,1917:208:2,178.5,90,0,0,-0.00544816 151328,1917:209:1,179,90,0,0,-0.005453 151329,1917:209:2,179.5,90,0,0,-0.00545663 151330,1918:100:1,180,90,0,0,-0.00546026 non_deterministic_output NonDeterministicOutput http://data-d.d4science.org/bmFjMVFHZlE5YzVxUmhYZ0pWd0RHa1NTcjNZWjdXTnhHbWJQNStIS0N6Yz0 The warnings from the underlying MaxEnt model text/csv http://data-d.d4science.org/bmFjMVFHZlE5YzVxUmhYZ0pWd0RHanVtNm85MEhoZ2dHbWJQNStIS0N6Yz0 ASCII Maps of the environmental layers for checking features aligments text/csv http://data-d.d4science.org/UVRiK1YzK3pJRjVxUmhYZ0pWd0RHdnpvQnhIYlZhbFRHbWJQNStIS0N6Yz0 World Thumbnail image/png http://data-d.d4science.org/NzFkKzVNMnA3eU5xUmhYZ0pWd0RHcXM0aHArTHJoeExHbWJQNStIS0N6Yz0 ROC Curve image/png http://data-d.d4science.org/MWt6NWUvdXZHRGhxUmhYZ0pWd0RHdkpPSVZrZmFJS2dHbWJQNStIS0N6Yz0 Omission-Commission Curve image/png http://data-d.d4science.org/TDVlSlMrTjhYVEZxUmhYZ0pWd0RHZ0xvQ2IzT3ZwQTVHbWJQNStIS0N6Yz0 Output table [a http link to a table in UTF-8 ecoding following this template: (GENERIC) A generic comma separated csv file in UTF-8 encoding] text/csv