Deep-sea sediments of the global ocean

Diesing, Markus

doi:https://doi.org/10.5194/essd-12-3367-2020

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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Final revised paper (published on 11 Dec 2020)
Preprint (discussion started on 16 Apr 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Good overall quality, additional discussion on certain points would be desirable.', Everardo González Ávalos, 26 May 2020
- AC1: 'Reply to RC1', Markus Diesing, 09 Jul 2020
RC2: 'Review 2 on “Deep-sea sediments of the global ocean" by Markus Diesing', Anonymous Referee #2, 29 May 2020
- AC2: 'Reply to RC2', Markus Diesing, 09 Jul 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Markus Diesing on behalf of the Authors (10 Jul 2020) Author's response Manuscript

ED: Publish subject to minor revisions (review by editor) (14 Jul 2020) by Dirk Fleischer

AR by Markus Diesing on behalf of the Authors (05 Aug 2020) Author's response Manuscript

ED: Publish as is (28 Oct 2020) by Dirk Fleischer

AR by Markus Diesing on behalf of the Authors (30 Oct 2020) Manuscript

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.