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The SCOC database: a large, open, and global database with sediment community oxygen consumption rates

Authors :
Stratmann, T.
Soetaert, K.E.R.
Wei, Chih-Lin
Lin, Yu-Shih
van Oevelen, Dick
Bio-, hydro-, and environmental geochemistry
Geochemistry
Bio-, hydro-, and environmental geochemistry
Geochemistry
Source :
SCIENTIFIC DATA, Scientific Data, Scientific data, 6. Nature Publishing Group, Scientific Data, Vol 6, Iss 1, Pp 1-6 (2019)
Publication Year :
2019

Abstract

Sediment community oxygen consumption (SCOC) rates provide important information about biogeochemical processes in marine sediments and the activity of benthic microorganisms and fauna. Therefore, several databases of SCOC data have been compiled since the mid-1990s. However, these earlier databases contained much less data records and were not freely available. Additionally, the databases were not transparent in their selection procedure, so that other researchers could not assess the quality of the data. Here, we present the largest, best documented, and freely available database of SCOC data compiled to date. The database is comprised of 3,540 georeferenced SCOC records from 230 studies that were selected following the procedure for systematic reviews and meta-analyses. Each data record states whether the oxygen consumption was measured ex situ or in situ, as total oxygen uptake, diffusive or advective oxygen uptake, and which measurement device was used. The database will be curated and updated annually to secure and maintain an up-to-date global database of SCOC data.<br />Measurement(s)Oxygen ConsumptionTechnology Type(s)digital curation • incubationFactor Type(s)geographic location • depth • continental slope • continental rise • abyssal plain • near-shore area • continental shelfSample Characteristic - EnvironmentsedimentSample Characteristic - LocationMediterranean Sea • Southern Ocean • Atlantic Ocean • Pacific Ocean • Arctic Ocean • Indian Ocean • Gulf of Mexico • Black Sea • Red Sea Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.9960131

Details

Language :
English
ISSN :
20524463
Volume :
6
Database :
OpenAIRE
Journal :
Scientific data
Accession number :
edsair.doi.dedup.....d8085b52a9df80fd46c611719e358db8
Full Text :
https://doi.org/10.1038/s41597-019-0259-3