{"author":[{"affiliation":[],"fullname":"van Someren, Christian","name":"Christian","pids":[],"rank":1,"surname":"van Someren"}],"bestaccessright":{"code":"c_16ec","label":"RESTRICTED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":[{"key":"10|openaire____::c6df70599aa984f16ee52b4b86d2e89f","value":"DANS (Data Archiving and Networked Services)"}],"context":[{"code":"science-innovation-policy","label":"Science and Innovation Policy Studies","provenance":["Bulktagging for Community - Subject"]}],"contributor":[],"country":[],"coverage":[],"dateofcollection":"","description":["Over het Energieakkoord. In het energieakkoord voor duurzame groei is afgesproken dat in 2020 14 procent van de opwek hernieuwbaar moet zijn en in 2023 16 procent. De doelstelling is een uitdagende opgave waarbij de eerste vraag is: \"Hoeveel hernieuwbare energie wordt er op dit moment opgewekt in Nederland?\" Deze website geeft antwoord op de vraag voor de actueel opgewekte windenergie, zonne-energie en biogas."],"format":[],"id":"50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af","instance":[{"accessright":{"code":"c_16ec","label":"RESTRICTED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::c6df70599aa984f16ee52b4b86d2e89f","value":"DANS (Data Archiving and Networked Services)"},"hostedby":{"key":"10|openaire____::c6df70599aa984f16ee52b4b86d2e89f","value":"DANS (Data Archiving and Networked Services)"},"publicationdate":"2016-11-01","type":"Other literature type","url":["http://energieopwek.nl/"]}],"language":{"code":"nl","label":"nl"},"lastupdatetimestamp":1591282663379,"maintitle":"Energie opwek","originalId":["DansKnawCris::3c81248c335f0aa07e06817ece6fa6af"],"pids":[{"scheme":"urn","value":"urn:nbn:nl:hs:18-813a5dfa-4fd0-44c4-8cbf-310324dc724d"},{"scheme":"urn","value":"urn:nbn:nl:hs:18-813a5dfa-4fd0-44c4-8cbf-310324dc724d"}],"publicationdate":"2016-11-01","subjects":[{"scheme":"","value":"energieproductie"},{"scheme":"","value":"Management"},{"scheme":"","value":"Monitoring"},{"scheme":"","value":"Policy and Law"},{"scheme":"","value":"Energie interventies en gedrag"},{"scheme":"","value":"publieke ondersteuning en communicatie"},{"scheme":"","value":"Professional practice & society"}],"type":"publication"}
{"author":[],"collectedfrom":[{"key":"10|rest________::b8e502674c3c3499d5374e9b2ea6d8d5","value":"bio.tools"}],"context":[{"code":"dh-ch","label":"Digital Humanities and Cultural Heritage","provenance":["Bulktagging for Community - Subject"]},{"code":"science-innovation-policy","label":"Digital Humanities and Cultural Heritage","provenance":["Bulktagging for Community - Subject"]}],"contributor":[],"country":[],"coverage":[],"dateofcollection":"","description":["Chilibot searches the PubMed literature database based on specific relationships between proteins, genes, or keywords. The results are returned as a graph."],"documentationUrl":["http://www.chilibot.net"],"format":[],"id":"50|dedup_wf_001::51b88f272ba9c3bb181af64e70255a80","instance":[{"collectedfrom":{"key":"10|rest________::b8e502674c3c3499d5374e9b2ea6d8d5","value":"bio.tools"},"hostedby":{"key":"10|rest________::b8e502674c3c3499d5374e9b2ea6d8d5","value":"bio.tools"},"publicationdate":"2017-05-01","type":"Software","url":["https://bio.tools/chilibot"]}],"language":{"code":"UNKNOWN","label":"UNKNOWN"},"lastupdatetimestamp":1591282924188,"maintitle":"Chilibot","originalId":["__bioTools__::c17ebaca97f287b181090c9b4cba766e"],"pids":[],"programmingLanguage":"UNKNOWN","publicationdate":"2017-05-01","publisher":"bio.tools","subjects":[{"scheme":"","value":"Natural language processing"},{"scheme":"","value":"Molecular interactions, pathways and networks"},{"scheme":"","value":"Proteins"},{"scheme":"","value":"Literature and language"},{"scheme":"mesheuropmc","value":"human activities"}],"type":"software"}
{"author":[{"affiliation":["University of Washington"],"fullname":"Winebrenner, Dale","name":"Dale","pids":[{"scheme":"ORCID","value":"0000-0003-2341-1083"}],"rank":1,"surname":"Winebrenner"},{"affiliation":["NASA Goddard Spaceflight Center"],"fullname":"MacGregor, Joseph","name":"Joseph","pids":[],"rank":2,"surname":"Macgregor"},{"affiliation":["University of Washington"],"fullname":"Kintner, Paul","name":"Paul","pids":[],"rank":3,"surname":"Kintner"}],"bestaccessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":[{"key":"10|openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},{"key":"10|re3data_____::7980778c78fb4cf0fab13ce2159030dc","value":"figshare"},{"key":"10|re3data_____::7b0ad08687b2c960d5aeef06f811d5e6","value":"Zenodo"},{"key":"10|opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"}],"context":[{"code":"science-innovation-policy","label":"Science and Innovation Policy Studies","provenance":["Bulktagging for Community - Subject"]}],"contributor":[],"country":[],"coverage":[],"dateofcollection":"","description":["<p>Collection of Matlab scripts and data files to implement and exercise data analysis and modeling in support of the paper "New Estimates of Ice and Oxygen Fluxes Across the Entire Lid of Lake Vostok from Observations of Englacial Radiowave Attenuation", in review at the Journal of Geophysical Research - Earth Surface, October 2018. </p>"],"documentationUrl":[],"format":[],"id":"50|dedup_wf_001::0347b1cd516fc59e41ba92e0d74e4e9f","instance":[{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},"hostedby":{"key":"10|re3data_____::7b0ad08687b2c960d5aeef06f811d5e6","value":"Zenodo"},"license":"https://creativecommons.org/licenses/by/4.0","publicationdate":"2018-01-01","type":"Software","url":["https://zenodo.org/record/1467433","http://dx.doi.org/10.5281/zenodo.1467432"]},{"accessright":{"code":"c_14cb","label":"CLOSED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|re3data_____::7980778c78fb4cf0fab13ce2159030dc","value":"figshare"},"hostedby":{"key":"10|re3data_____::7980778c78fb4cf0fab13ce2159030dc","value":"figshare"},"publicationdate":"2018-01-01","type":"Software","url":["https://figshare.com/articles/Lake_Vostok_radar_attenuation_and_basal_accretion_data_models_and_computations/7246043","http://dx.doi.org/10.5281/zenodo.1467433"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},"hostedby":{"key":"10|re3data_____::7b0ad08687b2c960d5aeef06f811d5e6","value":"Zenodo"},"license":"https://creativecommons.org/licenses/by/4.0","publicationdate":"2018-01-01","type":"Software","url":["https://zenodo.org/record/1467433","http://dx.doi.org/10.5281/zenodo.1467433"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|re3data_____::7b0ad08687b2c960d5aeef06f811d5e6","value":"Zenodo"},"hostedby":{"key":"10|re3data_____::7b0ad08687b2c960d5aeef06f811d5e6","value":"Zenodo"},"license":"http://creativecommons.org/licenses/by/4.0/legalcode","publicationdate":"2018-01-01","type":"Software","url":["http://dx.doi.org/10.5281/zenodo.1467433"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"hostedby":{"key":"10|opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"publicationdate":"2018-01-01","type":"Software","url":["http://dx.doi.org/10.5281/zenodo.1467433"]}],"language":{"code":"UNKNOWN","label":"UNKN
{"author":[{"affiliation":["Laboratory of Psychology and NeuroCognition – CNRS/UGA, Grenoble, France"],"fullname":"Laboissière, Rafael","name":"Rafael","pids":[],"rank":1,"surname":"Laboissière"}],"bestaccessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":[{"key":"10|re3data_____::7b0ad08687b2c960d5aeef06f811d5e6","value":"Zenodo"},{"key":"10|openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},{"key":"10|opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},{"key":"10|re3data_____::7980778c78fb4cf0fab13ce2159030dc","value":"figshare"}],"context":[{"code":"science-innovation-policy","label":"Science and Innovation Policy Studies","provenance":["Bulktagging for Community - Subject"]}],"contributor":[],"country":[],"coverage":[],"dateofcollection":"","description":["<p>This release contains the raw data, as well as the pre-processing and statistical analysis scripts (in R) for the experiments of perception of object stability under vection (illusion of self movement).</p>"],"documentationUrl":[],"format":[],"id":"50|dedup_wf_001::1432beb6171baa5da8a85a7f99545d69","instance":[{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|re3data_____::7b0ad08687b2c960d5aeef06f811d5e6","value":"Zenodo"},"hostedby":{"key":"10|re3data_____::7b0ad08687b2c960d5aeef06f811d5e6","value":"Zenodo"},"license":"http://www.opensource.org/licenses/GPL-3.0","publicationdate":"2017-01-01","type":"Software","url":["http://dx.doi.org/10.5281/zenodo.801400"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},"hostedby":{"key":"10|re3data_____::7b0ad08687b2c960d5aeef06f811d5e6","value":"Zenodo"},"license":"http://www.opensource.org/licenses/GPL-3.0","publicationdate":"2017-01-01","type":"Software","url":["http://dx.doi.org/10.5281/zenodo.801400","https://zenodo.org/record/801400"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"hostedby":{"key":"10|opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"publicationdate":"2017-01-01","type":"Software","url":["http://dx.doi.org/10.5281/zenodo.801400"]},{"accessright":{"code":"c_14cb","label":"CLOSED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|re3data_____::7980778c78fb4cf0fab13ce2159030dc","value":"figshare"},"hostedby":{"key":"10|re3data_____::7980778c78fb4cf0fab13ce2159030dc","value":"figshare"},"publicationdate":"2017-01-01","type":"Software","url":["http://dx.doi.org/10.5281/zenodo.801400","https://figshare.com/articles/rlaboiss_vextab-data_Raw_data_and_statistical_analysis_code_for_the_vextab_study/11470608"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},"hostedby":{"key":"10|re3data_____::7b0ad08687b2c960d5aeef06f811d5e6","value":"Zenodo"},"license":"http://www.opensource.org/licenses/GPL-3.0","publicationdate":"2017-01-01","type":"Software","url":["http://dx.doi.org/10.5281/zenodo.801399","https://zenodo.org/record/801400"]}],"language":{"code":"UNKNOWN","label":"UNKNOWN"},"lastupdatetimestamp":1591291157172,"maintitle":"rlaboiss/vextab-data: Raw data and statistical analysis code for the vextab study","originalId":["r37b0ad08687::25acd09277dae71c80810366a599421c","datacite____::b353952b541b80dfed37f4e48b86e4c2","od______2659::25acd09277dae71c80810366a599421c","r37980778c78::a02038e6624d01df9cf22cb709d7fe92","datacite____::c2c7b341f563b61294ec4c7396a3f984"],"pids":[{"scheme":"d
{"author":[{"affiliation":["George Washington University"],"fullname":"Gaberial Campese","name":"","pids":[],"rank":1,"surname":""}],"bestaccessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":[{"key":"10|openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},{"key":"10|opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},{"key":"10|re3data_____::7980778c78fb4cf0fab13ce2159030dc","value":"figshare"}],"context":[{"code":"science-innovation-policy","label":"Science and Innovation Policy Studies","provenance":["Bulktagging for Community - Subject"]}],"contributor":[],"country":[],"coverage":[],"dateofcollection":"","description":["<p>A visualization project that researches trends in military, healthcare, and education expenditures by government. This project uses the Google Charts API.</p>"],"documentationUrl":[],"format":[],"id":"50|dedup_wf_001::1c8bd19e633976e314b88ce5c3f92d69","instance":[{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},"hostedby":{"key":"10|re3data_____::7b0ad08687b2c960d5aeef06f811d5e6","value":"Zenodo"},"license":"http://creativecommons.org/licenses/by/4.0/legalcode","publicationdate":"2019-01-01","type":"Software","url":["https://zenodo.org/record/3490231","http://dx.doi.org/10.5281/zenodo.3490231"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"hostedby":{"key":"10|opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"publicationdate":"2019-01-01","type":"Software","url":["http://dx.doi.org/10.5281/zenodo.3490231"]},{"accessright":{"code":"c_14cb","label":"CLOSED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|re3data_____::7980778c78fb4cf0fab13ce2159030dc","value":"figshare"},"hostedby":{"key":"10|re3data_____::7980778c78fb4cf0fab13ce2159030dc","value":"figshare"},"publicationdate":"2019-01-01","type":"Software","url":["https://figshare.com/articles/Military_Healthcare_and_Education_Visualization_Project/11451567","http://dx.doi.org/10.5281/zenodo.3490231"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},"hostedby":{"key":"10|re3data_____::7b0ad08687b2c960d5aeef06f811d5e6","value":"Zenodo"},"license":"http://creativecommons.org/licenses/by/4.0/legalcode","publicationdate":"2019-01-01","type":"Software","url":["http://dx.doi.org/10.5281/zenodo.3490167","https://zenodo.org/record/3490167"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},"hostedby":{"key":"10|re3data_____::7b0ad08687b2c960d5aeef06f811d5e6","value":"Zenodo"},"license":"http://creativecommons.org/licenses/by/4.0/legalcode","publicationdate":"2019-01-01","type":"Software","url":["https://zenodo.org/record/3490231","http://dx.doi.org/10.5281/zenodo.3490166"]},{"accessright":{"code":"c_14cb","label":"CLOSED","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"collectedfrom":{"key":"10|re3data_____::7980778c78fb4cf0fab13ce2159030dc","value":"figshare"},"hostedby":{"key":"10|re3data_____::7980778c78fb4cf0fab13ce2159030dc","value":"figshare"},"publicationdate":"2019-01-01","type":"Software","url":["http://dx.doi.org/10.5281/zenodo.3490167","https://figshare.com/articles/Military_Healthcare_and_Education_Visualization_Project/11536080"]},{"accessright":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-reposito
