Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 12, issue 4
Articles | Volume 12, issue 4
https://doi.org/10.5194/essd-12-3367-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-3367-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 4
Data description paper
 | 
11 Dec 2020
Data description paper |  | 11 Dec 2020

Deep-sea sediments of the global ocean

Markus Diesing

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Short summary
A new digital map of the sediment types covering the bottom of the ocean has been created. Direct observations of the seafloor sediments are few and far apart. Therefore, machine learning was used to fill those gaps between observations. This was possible because known relationships between sediment types and the environment in which they form (e.g. water depth, temperature, and salt content) could be exploited. The results are expected to provide important information for marine research.
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