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TOFF, a database of traits of fish to promote advances in fish aquaculture
Functional traits can be valuable pieces of information for aquaculture research and management. Although fish traits have been the focus of an abundant research, trait datasets for these organisms are difficult to access and often unpractical to achieve meta-analyses without a time-consuming extens...
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/PMC6890663/ https://www.ncbi.nlm.nih.gov/pubmed/31796752 http://dx.doi.org/10.1038/s41597-019-0307-z |
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author | Lecocq, Thomas Benard, Alain Pasquet, Alain Nahon, Sarah Ducret, Alex Dupont-Marin, Kevin Lang, Iris Thomas, Marielle |
author_facet | Lecocq, Thomas Benard, Alain Pasquet, Alain Nahon, Sarah Ducret, Alex Dupont-Marin, Kevin Lang, Iris Thomas, Marielle |
author_sort | Lecocq, Thomas |
collection | PubMed |
description | Functional traits can be valuable pieces of information for aquaculture research and management. Although fish traits have been the focus of an abundant research, trait datasets for these organisms are difficult to access and often unpractical to achieve meta-analyses without a time-consuming extensive review. Already available large-scale compilations include trait information for many fish species but not as detailed as required for aquaculture purpose. Here, we introduce the TOFF (i.e. Traits OF Fish), a database focusing on fish functional traits that aims at bringing together behavioral, morphological, phenological, and physiological traits always coupled to environmental measurement context into a single open-source access repository. TOFF hosts data from published field and experimental studies. Here, we release data for 228 traits for 174 species extracted from 165 publications and present a collaborative platform. We ultimately aim at providing an inclusive and accessible data resource to facilitate advances in aquaculture development. |
format | Online Article Text |
id | pubmed-6890663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68906632019-12-06 TOFF, a database of traits of fish to promote advances in fish aquaculture Lecocq, Thomas Benard, Alain Pasquet, Alain Nahon, Sarah Ducret, Alex Dupont-Marin, Kevin Lang, Iris Thomas, Marielle Sci Data Data Descriptor Functional traits can be valuable pieces of information for aquaculture research and management. Although fish traits have been the focus of an abundant research, trait datasets for these organisms are difficult to access and often unpractical to achieve meta-analyses without a time-consuming extensive review. Already available large-scale compilations include trait information for many fish species but not as detailed as required for aquaculture purpose. Here, we introduce the TOFF (i.e. Traits OF Fish), a database focusing on fish functional traits that aims at bringing together behavioral, morphological, phenological, and physiological traits always coupled to environmental measurement context into a single open-source access repository. TOFF hosts data from published field and experimental studies. Here, we release data for 228 traits for 174 species extracted from 165 publications and present a collaborative platform. We ultimately aim at providing an inclusive and accessible data resource to facilitate advances in aquaculture development. Nature Publishing Group UK 2019-12-03 /pmc/articles/PMC6890663/ /pubmed/31796752 http://dx.doi.org/10.1038/s41597-019-0307-z 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 Lecocq, Thomas Benard, Alain Pasquet, Alain Nahon, Sarah Ducret, Alex Dupont-Marin, Kevin Lang, Iris Thomas, Marielle TOFF, a database of traits of fish to promote advances in fish aquaculture |
title | TOFF, a database of traits of fish to promote advances in fish aquaculture |
title_full | TOFF, a database of traits of fish to promote advances in fish aquaculture |
title_fullStr | TOFF, a database of traits of fish to promote advances in fish aquaculture |
title_full_unstemmed | TOFF, a database of traits of fish to promote advances in fish aquaculture |
title_short | TOFF, a database of traits of fish to promote advances in fish aquaculture |
title_sort | toff, a database of traits of fish to promote advances in fish aquaculture |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6890663/ https://www.ncbi.nlm.nih.gov/pubmed/31796752 http://dx.doi.org/10.1038/s41597-019-0307-z |
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