Dataset for 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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ftdatacite:10.6084/m9.figshare.5369038.v3 2023-05-15T18:23:40+02:00 Dataset for 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.v3 https://figshare.com/articles/dataset/Biogeosciences-2017-215/5369038/3 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.v3 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 Dataset for 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 |
Dataset for empirically estimated pCO2 for the Southern Ocean: RFR and SVR |
title_short |
Dataset for empirically estimated pCO2 for the Southern Ocean: RFR and SVR |
title_full |
Dataset for empirically estimated pCO2 for the Southern Ocean: RFR and SVR |
title_fullStr |
Dataset for empirically estimated pCO2 for the Southern Ocean: RFR and SVR |
title_full_unstemmed |
Dataset for empirically estimated pCO2 for the Southern Ocean: RFR and SVR |
title_sort |
dataset for empirically estimated pco2 for the southern ocean: rfr and svr |
publisher |
figshare |
publishDate |
2017 |
url |
https://dx.doi.org/10.6084/m9.figshare.5369038.v3 https://figshare.com/articles/dataset/Biogeosciences-2017-215/5369038/3 |
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.v3 https://doi.org/10.6084/m9.figshare.5369038 |
_version_ |
1766203720168636416 |