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

<p>The dataset contains the inputs of the notebook &quot;Met Office UKV high-resolution atmosphere model data&quot;&nbsp;published in The Environmental Data Science Book.</p> <p>The input data refer to a subset of&nbsp;single sample data file for 1.5 m temperature as part of the Met Office&nbsp;contribution to the COVID 19 modelling effort.</p> <p>The full dataset was&nbsp;available for download from the Met Office Azure (https://metdatasa.blob.core.windows.net/covid19-response-non-commercial/).&nbsp;The full dataset was available for&nbsp;download&nbsp;under the terms of non-commercial purposes.</p> <p><strong>Contributions</strong></p> <p><em>Notebook</em></p> <ul> <li> <p>Samantha V. Adams (author), Met Office Informatics Lab,&nbsp;<a href="https://github.com/svadams">@svadams</a></p> </li> <li> <p>Alejandro Coca-Castro (reviewer), The Alan Turing Institute,&nbsp;<a href="https://github.com/acocac">@acocac</a></p> </li> </ul> <p><em>Dataset originator/creator</em></p> <ul> <li> <p>Met Office Informatics Lab (creator)</p> </li> <li> <p>Microsoft (support)</p> </li> <li> <p>European Regional Development Fund (support)</p> </li> </ul> <p><em>Dataset authors</em></p> <ul> <li> <p>Met Office</p> </li> </ul> <p><em>Dataset documentation</em></p> <ul> <li> <p>Theo McCaie. Met office and partners offer data and compute platform for covid-19 researchers. URL:&nbsp;<a href="https://medium.com/informatics-lab/met-office-and-partners-offer-data-and-compute-platform-for-covid-19-researchers-83848ac55f5f">https://medium.com/informatics-lab/met-office-and-partners-offer-data-and-compute-platform-for-covid-19-researchers-83848ac55f5f</a>.</p> </li> </ul> <p><strong>Note this data should be used only for non-commercial purposes.</strong></p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

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