Scivision and EDS book: making computer vision and data science more accessible for Environmental scientists ...
This presentation was given to NERC’s Digital Gathering 23, https://digitalenvironment.org/events/dg23-digital-gathering-2023, on Monday 10th July 2023. Further details of the complete list of authors and abstract below. Scivision authors: Coca Castro, A. (1), Conner, A. (1), Corcoran, E. (1), Costa...
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ftdatacite:10.5281/zenodo.8139015 2023-10-01T03:51:12+02:00 Scivision and EDS book: making computer vision and data science more accessible for Environmental scientists ... Coca-Castro, Alejandro Conner, Alden 2023 https://dx.doi.org/10.5281/zenodo.8139015 https://zenodo.org/record/8139015 unknown Zenodo https://zenodo.org/communities/scivision https://zenodo.org/communities/the-environmental-ds-community https://dx.doi.org/10.5281/zenodo.8139014 https://zenodo.org/communities/scivision https://zenodo.org/communities/the-environmental-ds-community Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess scientific image analysis computer vision environmental data science jupyter notebooks digital communities article-journal ScholarlyArticle JournalArticle 2023 ftdatacite https://doi.org/10.5281/zenodo.813901510.5281/zenodo.8139014 2023-09-04T13:35:47Z This presentation was given to NERC’s Digital Gathering 23, https://digitalenvironment.org/events/dg23-digital-gathering-2023, on Monday 10th July 2023. Further details of the complete list of authors and abstract below. Scivision authors: Coca Castro, A. (1), Conner, A. (1), Corcoran, E. (1), Costa Gomes, B., Fenton, I. (1), Famili, M. (1), Mehonic, A. (1), Strickson, O. (1), Van Zeeland, L. (1), Anhert, S. (1, 2), Lowe, A. (1, 3), Hosking, J. S (1, 4) EDS book authors: Coca Castro, A. (1), Hosking, J. S (1, 4), EDS book community (5) Affiliations (1 – The Alan Turing Institute, 2 – University College London, 3 – University of Cambridge, 4 – British Antarctic Survey, 5 – Multiple) Supported by interdisciplinary collaborations between teams from environmental, statistics and computer sciences, the past decade has seen accelerated development of environmental data, models and pipelines. This talk will highlight how two community-driven initiatives, created and maintained by the Alan Turing Institute, make ... Article in Journal/Newspaper Antarc* Antarctic British Antarctic Survey DataCite Metadata Store (German National Library of Science and Technology) Antarctic Fenton ENVELOPE(161.917,161.917,-74.333,-74.333) Lowe ENVELOPE(-30.309,-30.309,-80.537,-80.537) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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unknown |
topic |
scientific image analysis computer vision environmental data science jupyter notebooks digital communities |
spellingShingle |
scientific image analysis computer vision environmental data science jupyter notebooks digital communities Coca-Castro, Alejandro Conner, Alden Scivision and EDS book: making computer vision and data science more accessible for Environmental scientists ... |
topic_facet |
scientific image analysis computer vision environmental data science jupyter notebooks digital communities |
description |
This presentation was given to NERC’s Digital Gathering 23, https://digitalenvironment.org/events/dg23-digital-gathering-2023, on Monday 10th July 2023. Further details of the complete list of authors and abstract below. Scivision authors: Coca Castro, A. (1), Conner, A. (1), Corcoran, E. (1), Costa Gomes, B., Fenton, I. (1), Famili, M. (1), Mehonic, A. (1), Strickson, O. (1), Van Zeeland, L. (1), Anhert, S. (1, 2), Lowe, A. (1, 3), Hosking, J. S (1, 4) EDS book authors: Coca Castro, A. (1), Hosking, J. S (1, 4), EDS book community (5) Affiliations (1 – The Alan Turing Institute, 2 – University College London, 3 – University of Cambridge, 4 – British Antarctic Survey, 5 – Multiple) Supported by interdisciplinary collaborations between teams from environmental, statistics and computer sciences, the past decade has seen accelerated development of environmental data, models and pipelines. This talk will highlight how two community-driven initiatives, created and maintained by the Alan Turing Institute, make ... |
format |
Article in Journal/Newspaper |
author |
Coca-Castro, Alejandro Conner, Alden |
author_facet |
Coca-Castro, Alejandro Conner, Alden |
author_sort |
Coca-Castro, Alejandro |
title |
Scivision and EDS book: making computer vision and data science more accessible for Environmental scientists ... |
title_short |
Scivision and EDS book: making computer vision and data science more accessible for Environmental scientists ... |
title_full |
Scivision and EDS book: making computer vision and data science more accessible for Environmental scientists ... |
title_fullStr |
Scivision and EDS book: making computer vision and data science more accessible for Environmental scientists ... |
title_full_unstemmed |
Scivision and EDS book: making computer vision and data science more accessible for Environmental scientists ... |
title_sort |
scivision and eds book: making computer vision and data science more accessible for environmental scientists ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.8139015 https://zenodo.org/record/8139015 |
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ENVELOPE(161.917,161.917,-74.333,-74.333) ENVELOPE(-30.309,-30.309,-80.537,-80.537) |
geographic |
Antarctic Fenton Lowe |
geographic_facet |
Antarctic Fenton Lowe |
genre |
Antarc* Antarctic British Antarctic Survey |
genre_facet |
Antarc* Antarctic British Antarctic Survey |
op_relation |
https://zenodo.org/communities/scivision https://zenodo.org/communities/the-environmental-ds-community https://dx.doi.org/10.5281/zenodo.8139014 https://zenodo.org/communities/scivision https://zenodo.org/communities/the-environmental-ds-community |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.813901510.5281/zenodo.8139014 |
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1778533051226128384 |