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Dataset . 2022
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Dataset to train, validate and reconstruct POC over the global ocean for 2009-2013 based on PlankTOM12

Research datakeyboard_double_arrow_right Dataset 13 Nov 2022Publisher:Zenodo
Authors: Denvil-Sommer, Anna;

doi: 10.5281/zenodo.7317292 , 10.5281/zenodo.7317293 , 10.5281/zenodo.7324781

Dataset to train, validate and reconstruct POC over the global ocean for 2009-2013 based on PlankTOM12

Abstract

The distribution of in situ UVP5 measurements over the period 2009-2013 was used to create synthetic data by sampling a global biogeochemical ocean model PlankTOM12 at UVP5 time and location. The synthetic data set is used to train, validate and test Machine Learning methods to reconstruct particulate organic carbon concentration. These data are part of publication at the GMD.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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