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BrBETA_dnet-hadoop/dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/eosc-future/air-quality-copernicus.xml

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XML

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<title classid="main title" classname="main title" schemeid="dnet:dataCite_title"
schemename="dnet:dataCite_title">Using CAMS European air quality analysis from Copernicus
Atmosphere Monitoring with RELIANCE services
</title>
<creator rank="1" name="Simone" surname="Mantovani" orcid_pending="0000-0003-3979-3645">Simone Mantovani</creator>
<dateofacceptance>2021-10-07</dateofacceptance>
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This notebook shows how to discover and access the Copernicus Atmosphere Monitoring products available in the RELIANCE datacube resources.
The process is structured in 6 steps, including example of data analysis and visualization with the Python libraries installed in the Jupyter environment
</description>
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schemename="dnet:subject_classification_typologies">RELIANCE
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schemename="dnet:subject_classification_typologies">Copernicus
</subject>
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schemename="dnet:subject_classification_typologies">Air quality
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corda__h2020::8771f523c34e38902d4921037d545ef8
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<title>REsearch LIfecycle mAnagemeNt for Earth Science Communities and CopErnicus users in EOSC</title>
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