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InteractiveResource . 2017
License: CC BY
Data sources: Datacite
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Data Carpentry Dataset: Working With Spatio-Temporal Data In Python

appsOther research productkeyboard_double_arrow_right InteractiveResource 24 Sep 2017Publisher:Zenodo
Authors: Fouilloux, Anne;

doi: 10.5281/zenodo.995708 , 10.5281/zenodo.995709

Data Carpentry Dataset: Working With Spatio-Temporal Data In Python

Abstract

This dataset contains netCDF, HDF, GeoTIFF, shapefiles, GEOJSON files used for the Data Carpentry lesson we have developed at the Department of Geosciences, University of Oslo, Norway. The corresponding lessons are available at https://annefou.github.io/metos_python/

Related Organizations
Keywords

Data Carpentry, netCDF, python, tutorial, shapefile, GeoTIFF, HDF, GEOJSON

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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
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0
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13