Implementing Reproducible Environmental Data Science with Open Science: Lessons from the 1st Climate Informatics Reproducibility Challenge ...

This presentation is given by Andrew McDonald, MRes + PhD Student in the AI4ER CDT at the University of Cambridge and British Antarctic Survey, to the AGU23 session. The presentation shares insights from the 2023 Climate Informatics Reproducibility Challenge (CIRC23). The videos/animation of winning...

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Main Authors: McDonald, Andrew, Coca-Castro, Alejandro, Fouilloux, Anne, Ricardo, Barros Lourenço, Hyde, Andrew, Rao, Yuhan Douglas
Format: Conference Object
Language:unknown
Published: Zenodo 2023
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.10376130
https://zenodo.org/doi/10.5281/zenodo.10376130
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spelling ftdatacite:10.5281/zenodo.10376130 2024-02-04T09:54:12+01:00 Implementing Reproducible Environmental Data Science with Open Science: Lessons from the 1st Climate Informatics Reproducibility Challenge ... McDonald, Andrew Coca-Castro, Alejandro Fouilloux, Anne Ricardo, Barros Lourenço Hyde, Andrew Rao, Yuhan Douglas 2023 https://dx.doi.org/10.5281/zenodo.10376130 https://zenodo.org/doi/10.5281/zenodo.10376130 unknown Zenodo https://dx.doi.org/10.5281/zenodo.10376129 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 ScholarlyArticle Presentation Text article-journal 2023 ftdatacite https://doi.org/10.5281/zenodo.1037613010.5281/zenodo.10376129 2024-01-05T01:11:36Z This presentation is given by Andrew McDonald, MRes + PhD Student in the AI4ER CDT at the University of Cambridge and British Antarctic Survey, to the AGU23 session. The presentation shares insights from the 2023 Climate Informatics Reproducibility Challenge (CIRC23). The videos/animation of winning team is included. More information about CIRC23 can be found on the website. For EDS book, please visit the Github project or website. ... Conference Object Antarc* Antarctic British Antarctic Survey DataCite Metadata Store (German National Library of Science and Technology) Antarctic
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description This presentation is given by Andrew McDonald, MRes + PhD Student in the AI4ER CDT at the University of Cambridge and British Antarctic Survey, to the AGU23 session. The presentation shares insights from the 2023 Climate Informatics Reproducibility Challenge (CIRC23). The videos/animation of winning team is included. More information about CIRC23 can be found on the website. For EDS book, please visit the Github project or website. ...
format Conference Object
author McDonald, Andrew
Coca-Castro, Alejandro
Fouilloux, Anne
Ricardo, Barros Lourenço
Hyde, Andrew
Rao, Yuhan Douglas
spellingShingle McDonald, Andrew
Coca-Castro, Alejandro
Fouilloux, Anne
Ricardo, Barros Lourenço
Hyde, Andrew
Rao, Yuhan Douglas
Implementing Reproducible Environmental Data Science with Open Science: Lessons from the 1st Climate Informatics Reproducibility Challenge ...
author_facet McDonald, Andrew
Coca-Castro, Alejandro
Fouilloux, Anne
Ricardo, Barros Lourenço
Hyde, Andrew
Rao, Yuhan Douglas
author_sort McDonald, Andrew
title Implementing Reproducible Environmental Data Science with Open Science: Lessons from the 1st Climate Informatics Reproducibility Challenge ...
title_short Implementing Reproducible Environmental Data Science with Open Science: Lessons from the 1st Climate Informatics Reproducibility Challenge ...
title_full Implementing Reproducible Environmental Data Science with Open Science: Lessons from the 1st Climate Informatics Reproducibility Challenge ...
title_fullStr Implementing Reproducible Environmental Data Science with Open Science: Lessons from the 1st Climate Informatics Reproducibility Challenge ...
title_full_unstemmed Implementing Reproducible Environmental Data Science with Open Science: Lessons from the 1st Climate Informatics Reproducibility Challenge ...
title_sort implementing reproducible environmental data science with open science: lessons from the 1st climate informatics reproducibility challenge ...
publisher Zenodo
publishDate 2023
url https://dx.doi.org/10.5281/zenodo.10376130
https://zenodo.org/doi/10.5281/zenodo.10376130
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