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Dataset . 2022
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Claim

Outputs of the Jupyter Notebook - Met Office UKV high-resolution atmosphere model data

Research datakeyboard_double_arrow_right Dataset 06 Feb 2022Publisher:Zenodo
Authors: Environmental Data Science Community;

doi: 10.5281/zenodo.5984713 , 10.5281/zenodo.7087008 , 10.5281/zenodo.5984712 , 10.5281/zenodo.7087009

Outputs of the Jupyter Notebook - Met Office UKV high-resolution atmosphere model data

Abstract

The dataset contains the outputs of the notebook "Met Office UKV high-resolution atmosphere model data" published in the urban sensors section of The Environmental Data Science Book. Contributions Notebook Samantha V. Adams (author), Met Office Informatics Lab, @svadams Alejandro Coca-Castro (reviewer), The Alan Turing Institute, @acocac Dataset originator/creator Met Office Informatics Lab (creator) Microsoft (support) European Regional Development Fund (support) Dataset authors Met Office Dataset documentation Theo McCaie. Met office and partners offer data and compute platform for covid-19 researchers. URL: https://medium.com/informatics-lab/met-office-and-partners-offer-data-and-compute-platform-for-covid-19-researchers-83848ac55f5f.

Keywords

environmental data science, temperature, environmental monitoring network, sensors, urban, United Kingdom

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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
Average
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Average
17
16
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