Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields
International audience Abstract The global importance of mesopelagic fish is increasingly recognised, but they remain poorly studied. This is particularly true in the Southern Ocean, where mesopelagic fishes are both key predators and prey, but where the remote environment makes sampling challenging...
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Online Access: | https://mnhn.hal.science/mnhn-03830695 https://doi.org/10.1038/s41597-022-01496-y |
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ftccsdartic:oai:HAL:mnhn-03830695v1 2023-12-17T10:20:38+01:00 Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields Woods, Briannyn Trebilco, Rowan Walters, Andrea Hindell, Mark Duhamel, Guy Flores, Hauke Moteki, Masato Pruvost, Patrice Reiss, Christian Saunders, Ryan Sutton, Caroline Gan, Yi-Ming van de Putte, Anton Laboratoire d'Ichtyologie générale et appliquée Muséum national d'Histoire naturelle (MNHN) Biologie des Organismes et Ecosystèmes Aquatiques (BOREA) Université de Caen Normandie (UNICAEN) Normandie Université (NU)-Normandie Université (NU)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA) 2022-12 https://mnhn.hal.science/mnhn-03830695 https://doi.org/10.1038/s41597-022-01496-y en eng HAL CCSD Nature Publishing Group info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-022-01496-y mnhn-03830695 https://mnhn.hal.science/mnhn-03830695 doi:10.1038/s41597-022-01496-y ISSN: 2052-4463 EISSN: 2052-4463 Scientific Data https://mnhn.hal.science/mnhn-03830695 Scientific Data , 2022, 9 (1), pp.404. ⟨10.1038/s41597-022-01496-y⟩ [SDE.BE]Environmental Sciences/Biodiversity and Ecology [SDE.MCG]Environmental Sciences/Global Changes [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] info:eu-repo/semantics/article Journal articles 2022 ftccsdartic https://doi.org/10.1038/s41597-022-01496-y 2023-11-19T00:01:29Z International audience Abstract The global importance of mesopelagic fish is increasingly recognised, but they remain poorly studied. This is particularly true in the Southern Ocean, where mesopelagic fishes are both key predators and prey, but where the remote environment makes sampling challenging. Despite this, multiple national Antarctic research programs have undertaken regional sampling of mesopelagic fish over several decades. However, data are dispersed, and sampling methodologies often differ precluding comparisons and limiting synthetic analyses. We identified potential data holders by compiling a metadata catalogue of existing survey data for Southern Ocean mesopelagic fishes. Data holders contributed 17,491 occurrence and 11,190 abundance records from 4780 net hauls from 72 different research cruises. Data span across 37 years from 1991 to 2019 and include trait-based information (length, weight, maturity). The final dataset underwent quality control processes and detailed metadata was provided for each sampling event. This dataset can be accessed through Zenodo. Myctobase will enhance research capacity by providing the broadscale baseline data necessary for observing and modelling mesopelagic fishes. Article in Journal/Newspaper Antarc* Antarctic Southern Ocean Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Antarctic Southern Ocean Scientific Data 9 1 |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
[SDE.BE]Environmental Sciences/Biodiversity and Ecology [SDE.MCG]Environmental Sciences/Global Changes [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] |
spellingShingle |
[SDE.BE]Environmental Sciences/Biodiversity and Ecology [SDE.MCG]Environmental Sciences/Global Changes [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] Woods, Briannyn Trebilco, Rowan Walters, Andrea Hindell, Mark Duhamel, Guy Flores, Hauke Moteki, Masato Pruvost, Patrice Reiss, Christian Saunders, Ryan Sutton, Caroline Gan, Yi-Ming van de Putte, Anton Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields |
topic_facet |
[SDE.BE]Environmental Sciences/Biodiversity and Ecology [SDE.MCG]Environmental Sciences/Global Changes [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] |
description |
International audience Abstract The global importance of mesopelagic fish is increasingly recognised, but they remain poorly studied. This is particularly true in the Southern Ocean, where mesopelagic fishes are both key predators and prey, but where the remote environment makes sampling challenging. Despite this, multiple national Antarctic research programs have undertaken regional sampling of mesopelagic fish over several decades. However, data are dispersed, and sampling methodologies often differ precluding comparisons and limiting synthetic analyses. We identified potential data holders by compiling a metadata catalogue of existing survey data for Southern Ocean mesopelagic fishes. Data holders contributed 17,491 occurrence and 11,190 abundance records from 4780 net hauls from 72 different research cruises. Data span across 37 years from 1991 to 2019 and include trait-based information (length, weight, maturity). The final dataset underwent quality control processes and detailed metadata was provided for each sampling event. This dataset can be accessed through Zenodo. Myctobase will enhance research capacity by providing the broadscale baseline data necessary for observing and modelling mesopelagic fishes. |
author2 |
Laboratoire d'Ichtyologie générale et appliquée Muséum national d'Histoire naturelle (MNHN) Biologie des Organismes et Ecosystèmes Aquatiques (BOREA) Université de Caen Normandie (UNICAEN) Normandie Université (NU)-Normandie Université (NU)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA) |
format |
Article in Journal/Newspaper |
author |
Woods, Briannyn Trebilco, Rowan Walters, Andrea Hindell, Mark Duhamel, Guy Flores, Hauke Moteki, Masato Pruvost, Patrice Reiss, Christian Saunders, Ryan Sutton, Caroline Gan, Yi-Ming van de Putte, Anton |
author_facet |
Woods, Briannyn Trebilco, Rowan Walters, Andrea Hindell, Mark Duhamel, Guy Flores, Hauke Moteki, Masato Pruvost, Patrice Reiss, Christian Saunders, Ryan Sutton, Caroline Gan, Yi-Ming van de Putte, Anton |
author_sort |
Woods, Briannyn |
title |
Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields |
title_short |
Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields |
title_full |
Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields |
title_fullStr |
Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields |
title_full_unstemmed |
Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields |
title_sort |
myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://mnhn.hal.science/mnhn-03830695 https://doi.org/10.1038/s41597-022-01496-y |
geographic |
Antarctic Southern Ocean |
geographic_facet |
Antarctic Southern Ocean |
genre |
Antarc* Antarctic Southern Ocean |
genre_facet |
Antarc* Antarctic Southern Ocean |
op_source |
ISSN: 2052-4463 EISSN: 2052-4463 Scientific Data https://mnhn.hal.science/mnhn-03830695 Scientific Data , 2022, 9 (1), pp.404. ⟨10.1038/s41597-022-01496-y⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-022-01496-y mnhn-03830695 https://mnhn.hal.science/mnhn-03830695 doi:10.1038/s41597-022-01496-y |
op_doi |
https://doi.org/10.1038/s41597-022-01496-y |
container_title |
Scientific Data |
container_volume |
9 |
container_issue |
1 |
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1785524536368693248 |