Analysis scripts for "Antarctic offshore polynyas linked to Southern Hemisphere climate anomalies"
This repository contains the Python analysis scripts used for Campbell et al. (2019), "Antarctic offshore polynyas linked to Southern Hemisphere climate anomalies", Nature , doi:10.1038/s41586-019-1294-0. Please contact me at ethancc@uw.edu if you have any questions or difficulties with us...
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Online Access: | https://dx.doi.org/10.5281/zenodo.3259012 https://zenodo.org/record/3259012 |
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ftdatacite:10.5281/zenodo.3259012 2023-05-15T13:48:52+02:00 Analysis scripts for "Antarctic offshore polynyas linked to Southern Hemisphere climate anomalies" Campbell, Ethan C. 2019 https://dx.doi.org/10.5281/zenodo.3259012 https://zenodo.org/record/3259012 en eng Zenodo https://github.com/ethan-campbell/Weddell_polynya_paper/tree/v1.0.0 https://github.com/ethan-campbell/Weddell_polynya_paper/tree/v1.0.0 https://dx.doi.org/10.1038/s41586-019-1294-0 https://dx.doi.org/10.5281/zenodo.3259013 Open Access MIT License https://opensource.org/licenses/MIT mit info:eu-repo/semantics/openAccess MIT Software SoftwareSourceCode article 2019 ftdatacite https://doi.org/10.5281/zenodo.3259012 https://doi.org/10.1038/s41586-019-1294-0 https://doi.org/10.5281/zenodo.3259013 2021-11-05T12:55:41Z This repository contains the Python analysis scripts used for Campbell et al. (2019), "Antarctic offshore polynyas linked to Southern Hemisphere climate anomalies", Nature , doi:10.1038/s41586-019-1294-0. Please contact me at ethancc@uw.edu if you have any questions or difficulties with using this code. For more information, please see the README.md file within this archived repository. Article in Journal/Newspaper Antarc* Antarctic DataCite Metadata Store (German National Library of Science and Technology) Antarctic |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
description |
This repository contains the Python analysis scripts used for Campbell et al. (2019), "Antarctic offshore polynyas linked to Southern Hemisphere climate anomalies", Nature , doi:10.1038/s41586-019-1294-0. Please contact me at ethancc@uw.edu if you have any questions or difficulties with using this code. For more information, please see the README.md file within this archived repository. |
format |
Article in Journal/Newspaper |
author |
Campbell, Ethan C. |
spellingShingle |
Campbell, Ethan C. Analysis scripts for "Antarctic offshore polynyas linked to Southern Hemisphere climate anomalies" |
author_facet |
Campbell, Ethan C. |
author_sort |
Campbell, Ethan C. |
title |
Analysis scripts for "Antarctic offshore polynyas linked to Southern Hemisphere climate anomalies" |
title_short |
Analysis scripts for "Antarctic offshore polynyas linked to Southern Hemisphere climate anomalies" |
title_full |
Analysis scripts for "Antarctic offshore polynyas linked to Southern Hemisphere climate anomalies" |
title_fullStr |
Analysis scripts for "Antarctic offshore polynyas linked to Southern Hemisphere climate anomalies" |
title_full_unstemmed |
Analysis scripts for "Antarctic offshore polynyas linked to Southern Hemisphere climate anomalies" |
title_sort |
analysis scripts for "antarctic offshore polynyas linked to southern hemisphere climate anomalies" |
publisher |
Zenodo |
publishDate |
2019 |
url |
https://dx.doi.org/10.5281/zenodo.3259012 https://zenodo.org/record/3259012 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
https://github.com/ethan-campbell/Weddell_polynya_paper/tree/v1.0.0 https://github.com/ethan-campbell/Weddell_polynya_paper/tree/v1.0.0 https://dx.doi.org/10.1038/s41586-019-1294-0 https://dx.doi.org/10.5281/zenodo.3259013 |
op_rights |
Open Access MIT License https://opensource.org/licenses/MIT mit info:eu-repo/semantics/openAccess |
op_rightsnorm |
MIT |
op_doi |
https://doi.org/10.5281/zenodo.3259012 https://doi.org/10.1038/s41586-019-1294-0 https://doi.org/10.5281/zenodo.3259013 |
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1766249903060680704 |