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Software . 2021
License: CC BY
Data sources: Datacite
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Software . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Software . 2021
License: CC BY
Data sources: Datacite
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Using CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 07 Oct 2021Publisher:ZenodoFunded by:EC | RELIANCE
Authors: Mantovani, Simone;

doi: 10.5281/zenodo.5554786 , 10.5281/zenodo.5554785

Using CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services

Abstract

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

Keywords

EOSC Jupyter Notebook, Air quality, RELIANCE, Copernicus

EOSC Subjects

Jupyter Notebook

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
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16
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