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The SCOC database, a large, open, and global database with sediment community oxygen consumption rates
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820755/ https://www.ncbi.nlm.nih.gov/pubmed/31664032 http://dx.doi.org/10.1038/s41597-019-0259-3 |
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author | Stratmann, Tanja Soetaert, Karline Wei, Chih-Lin Lin, Yu-Shih van Oevelen, Dick |
author_facet | Stratmann, Tanja Soetaert, Karline Wei, Chih-Lin Lin, Yu-Shih van Oevelen, Dick |
author_sort | Stratmann, Tanja |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6820755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68207552019-11-07 The SCOC database, a large, open, and global database with sediment community oxygen consumption rates Stratmann, Tanja Soetaert, Karline Wei, Chih-Lin Lin, Yu-Shih van Oevelen, Dick Sci Data Data Descriptor 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. Nature Publishing Group UK 2019-10-29 /pmc/articles/PMC6820755/ /pubmed/31664032 http://dx.doi.org/10.1038/s41597-019-0259-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Stratmann, Tanja Soetaert, Karline Wei, Chih-Lin Lin, Yu-Shih van Oevelen, Dick The SCOC database, a large, open, and global database with sediment community oxygen consumption rates |
title | The SCOC database, a large, open, and global database with sediment community oxygen consumption rates |
title_full | The SCOC database, a large, open, and global database with sediment community oxygen consumption rates |
title_fullStr | The SCOC database, a large, open, and global database with sediment community oxygen consumption rates |
title_full_unstemmed | The SCOC database, a large, open, and global database with sediment community oxygen consumption rates |
title_short | The SCOC database, a large, open, and global database with sediment community oxygen consumption rates |
title_sort | scoc database, a large, open, and global database with sediment community oxygen consumption rates |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820755/ https://www.ncbi.nlm.nih.gov/pubmed/31664032 http://dx.doi.org/10.1038/s41597-019-0259-3 |
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