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 "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? - A proof of concept study." These files may occasionally be updated to add annotations to the...

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Bibliographic Details
Main Authors: Holder, Christopher, Gnanadesikan, Anand
Format: Dataset
Language:unknown
Published: Zenodo 2020
Subjects:
Southern Ocean
Online Access:https://dx.doi.org/10.5281/zenodo.3932387
https://zenodo.org/record/3932387
id ftdatacite:10.5281/zenodo.3932387
record_format openpolar
spelling ftdatacite:10.5281/zenodo.3932387 2023-05-15T18:25:04+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.3932387 https://zenodo.org/record/3932387 unknown Zenodo https://dx.doi.org/10.5281/zenodo.3932388 https://dx.doi.org/10.5281/zenodo.4511337 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.3932387 https://doi.org/10.5281/zenodo.3932388 https://doi.org/10.5281/zenodo.4511337 2021-11-05T12:55:41Z Zip file containing the scripts, functions, and source files for the manuscript titled "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? - A proof of concept study." These files may occasionally be updated to add annotations to the scripts to make them more user friendly and easier to follow. : 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 "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? - A proof of concept study." These files may occasionally be updated to add annotations to the scripts to make them more user friendly and easier to follow. : 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.3932387
https://zenodo.org/record/3932387
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_relation https://dx.doi.org/10.5281/zenodo.3932388
https://dx.doi.org/10.5281/zenodo.4511337
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.3932387
https://doi.org/10.5281/zenodo.3932388
https://doi.org/10.5281/zenodo.4511337
_version_ 1766206226122670080

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