Empirically estimated pCO2 for the Southern Ocean: RFR and SVR

ORGANISATION: Council for Scientific and Industrial Research, South Africa. This dataset accompanies the Biogeosciences publication: Empirical methods for the estimation of Southern Ocean CO 2 : Support Vector and Random Forest Regression. The dataset contains two netCDF files: support vector regres...

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Bibliographic Details
Main Authors: Gregor, Luke, Monteiro, Pedro M. S., Schalk Kok
Format: Dataset
Language:unknown
Published: figshare 2017
Subjects:
Oceanography
FOS Earth and related environmental sciences
Southern Ocean
Online Access:https://dx.doi.org/10.6084/m9.figshare.5369038.v2
https://figshare.com/articles/dataset/Biogeosciences-2017-215/5369038/2
id ftdatacite:10.6084/m9.figshare.5369038.v2
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.5369038.v2 2023-05-15T18:23:40+02:00 Empirically estimated pCO2 for the Southern Ocean: RFR and SVR Gregor, Luke Monteiro, Pedro M. S. Schalk Kok 2017 https://dx.doi.org/10.6084/m9.figshare.5369038.v2 https://figshare.com/articles/dataset/Biogeosciences-2017-215/5369038/2 unknown figshare https://dx.doi.org/10.6084/m9.figshare.5369038 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Oceanography FOS Earth and related environmental sciences dataset Dataset 2017 ftdatacite https://doi.org/10.6084/m9.figshare.5369038.v2 https://doi.org/10.6084/m9.figshare.5369038 2021-11-05T12:55:41Z ORGANISATION: Council for Scientific and Industrial Research, South Africa. This dataset accompanies the Biogeosciences publication: Empirical methods for the estimation of Southern Ocean CO 2 : Support Vector and Random Forest Regression. The dataset contains two netCDF files: support vector regression and random forest regression estimates of ∆pCO 2 for the Southern Ocean. 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
topic Oceanography
FOS Earth and related environmental sciences
spellingShingle Oceanography
FOS Earth and related environmental sciences
Gregor, Luke
Monteiro, Pedro M. S.
Schalk Kok
Empirically estimated pCO2 for the Southern Ocean: RFR and SVR
topic_facet Oceanography
FOS Earth and related environmental sciences
description ORGANISATION: Council for Scientific and Industrial Research, South Africa. This dataset accompanies the Biogeosciences publication: Empirical methods for the estimation of Southern Ocean CO 2 : Support Vector and Random Forest Regression. The dataset contains two netCDF files: support vector regression and random forest regression estimates of ∆pCO 2 for the Southern Ocean.
format Dataset
author Gregor, Luke
Monteiro, Pedro M. S.
Schalk Kok
author_facet Gregor, Luke
Monteiro, Pedro M. S.
Schalk Kok
author_sort Gregor, Luke
title Empirically estimated pCO2 for the Southern Ocean: RFR and SVR
title_short Empirically estimated pCO2 for the Southern Ocean: RFR and SVR
title_full Empirically estimated pCO2 for the Southern Ocean: RFR and SVR
title_fullStr Empirically estimated pCO2 for the Southern Ocean: RFR and SVR
title_full_unstemmed Empirically estimated pCO2 for the Southern Ocean: RFR and SVR
title_sort empirically estimated pco2 for the southern ocean: rfr and svr
publisher figshare
publishDate 2017
url https://dx.doi.org/10.6084/m9.figshare.5369038.v2
https://figshare.com/articles/dataset/Biogeosciences-2017-215/5369038/2
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_relation https://dx.doi.org/10.6084/m9.figshare.5369038
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.5369038.v2
https://doi.org/10.6084/m9.figshare.5369038
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