Dataset and scripts for manuscript "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? – A proof of concept study"
Zip file containing the scripts, functions, and source files for the manuscript titled "Linking intrinsic and apparent relationships between phytoplankton and environmental forcings using machine learning - What are the challenges?" : This work was supported in part by the NSF Division of...
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Online Access: | https://dx.doi.org/10.5281/zenodo.3932388 https://zenodo.org/record/3932388 |
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ftdatacite:10.5281/zenodo.3932388 2023-05-15T18:24:58+02:00 Dataset and scripts for manuscript "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? – A proof of concept study" Holder, Christopher Gnanadesikan, Anand 2020 https://dx.doi.org/10.5281/zenodo.3932388 https://zenodo.org/record/3932388 unknown Zenodo https://dx.doi.org/10.5281/zenodo.3932387 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 2020 ftdatacite https://doi.org/10.5281/zenodo.3932388 https://doi.org/10.5281/zenodo.3932387 2021-11-05T12:55:41Z Zip file containing the scripts, functions, and source files for the manuscript titled "Linking intrinsic and apparent relationships between phytoplankton and environmental forcings using machine learning - What are the challenges?" : This work was supported in part by the NSF Division of Ocean Sciences (Grant No. 1756568; "Collaborative Research: Southern Ocean Convection in climate models: controls and Impacts") Dataset Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Southern Ocean |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
description |
Zip file containing the scripts, functions, and source files for the manuscript titled "Linking intrinsic and apparent relationships between phytoplankton and environmental forcings using machine learning - What are the challenges?" : This work was supported in part by the NSF Division of Ocean Sciences (Grant No. 1756568; "Collaborative Research: Southern Ocean Convection in climate models: controls and Impacts") |
format |
Dataset |
author |
Holder, Christopher Gnanadesikan, Anand |
spellingShingle |
Holder, Christopher Gnanadesikan, Anand Dataset and scripts for manuscript "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? – A proof of concept study" |
author_facet |
Holder, Christopher Gnanadesikan, Anand |
author_sort |
Holder, Christopher |
title |
Dataset and scripts for manuscript "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? – A proof of concept study" |
title_short |
Dataset and scripts for manuscript "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? – A proof of concept study" |
title_full |
Dataset and scripts for manuscript "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? – A proof of concept study" |
title_fullStr |
Dataset and scripts for manuscript "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? – A proof of concept study" |
title_full_unstemmed |
Dataset and scripts for manuscript "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? – A proof of concept study" |
title_sort |
dataset and scripts for manuscript "can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? – a proof of concept study" |
publisher |
Zenodo |
publishDate |
2020 |
url |
https://dx.doi.org/10.5281/zenodo.3932388 https://zenodo.org/record/3932388 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_relation |
https://dx.doi.org/10.5281/zenodo.3932387 |
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.3932388 https://doi.org/10.5281/zenodo.3932387 |
_version_ |
1766206043278278656 |