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Deep-sea sediments of the global ocean mapped with Random Forest machine learning algorithm

Fuente: PANGAEA

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Bibliographic Details
Main Author:	Diesing, Markus
Format:	Dataset Open Access
Language:	en
Published:	PANGAEA 2020
Subjects:	accuracy; confidence; Deep-sea; Lithology; map; seafloor; Sediment; spatial prediction
Online Access:	Acceder al recurso
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