Regional model (ACM) output used to elucidate coastal ocean carbon transport processes in the northwest North Atlantic (Rutherford and Fennel, 2022; GRL)
Key variables from the regional Atlantic Canada model (ACM) used to elucidate coastal ocean carbon transport in the northwest North Atlantic. The dataset includes all model variables required to reproduce the results in Rutherford & Fennel (2022, GRL ). See RutherfordandFennel_GRL_ACM_data_READM...
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Online Access: | https://dx.doi.org/10.5281/zenodo.6115944 https://zenodo.org/record/6115944 |
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ftdatacite:10.5281/zenodo.6115944 2023-05-15T17:26:31+02:00 Regional model (ACM) output used to elucidate coastal ocean carbon transport processes in the northwest North Atlantic (Rutherford and Fennel, 2022; GRL) Rutherford, Krysten Fennel, Katja 2022 https://dx.doi.org/10.5281/zenodo.6115944 https://zenodo.org/record/6115944 unknown Zenodo https://dx.doi.org/10.5281/zenodo.6115945 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 CC-BY Dataset dataset 2022 ftdatacite https://doi.org/10.5281/zenodo.6115944 https://doi.org/10.5281/zenodo.6115945 2022-03-10T13:06:06Z Key variables from the regional Atlantic Canada model (ACM) used to elucidate coastal ocean carbon transport in the northwest North Atlantic. The dataset includes all model variables required to reproduce the results in Rutherford & Fennel (2022, GRL ). See RutherfordandFennel_GRL_ACM_data_README.txt for more details. Dataset North Atlantic DataCite Metadata Store (German National Library of Science and Technology) Canada |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
description |
Key variables from the regional Atlantic Canada model (ACM) used to elucidate coastal ocean carbon transport in the northwest North Atlantic. The dataset includes all model variables required to reproduce the results in Rutherford & Fennel (2022, GRL ). See RutherfordandFennel_GRL_ACM_data_README.txt for more details. |
format |
Dataset |
author |
Rutherford, Krysten Fennel, Katja |
spellingShingle |
Rutherford, Krysten Fennel, Katja Regional model (ACM) output used to elucidate coastal ocean carbon transport processes in the northwest North Atlantic (Rutherford and Fennel, 2022; GRL) |
author_facet |
Rutherford, Krysten Fennel, Katja |
author_sort |
Rutherford, Krysten |
title |
Regional model (ACM) output used to elucidate coastal ocean carbon transport processes in the northwest North Atlantic (Rutherford and Fennel, 2022; GRL) |
title_short |
Regional model (ACM) output used to elucidate coastal ocean carbon transport processes in the northwest North Atlantic (Rutherford and Fennel, 2022; GRL) |
title_full |
Regional model (ACM) output used to elucidate coastal ocean carbon transport processes in the northwest North Atlantic (Rutherford and Fennel, 2022; GRL) |
title_fullStr |
Regional model (ACM) output used to elucidate coastal ocean carbon transport processes in the northwest North Atlantic (Rutherford and Fennel, 2022; GRL) |
title_full_unstemmed |
Regional model (ACM) output used to elucidate coastal ocean carbon transport processes in the northwest North Atlantic (Rutherford and Fennel, 2022; GRL) |
title_sort |
regional model (acm) output used to elucidate coastal ocean carbon transport processes in the northwest north atlantic (rutherford and fennel, 2022; grl) |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://dx.doi.org/10.5281/zenodo.6115944 https://zenodo.org/record/6115944 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
https://dx.doi.org/10.5281/zenodo.6115945 |
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_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.6115944 https://doi.org/10.5281/zenodo.6115945 |
_version_ |
1766118217156132864 |