Deep-sea benthic crustacean and annelid data from the Bering Sea
Samples of Crustacea and Annelida (Polychaeta, Sipuncula, and Hirudinea) were collected in the Bering Sea and the northwestern Pacific Ocean during scientific cruise SO-249 BERING in 2016. Biological samples were collected from 32 locations by the team on-board RV Sonne using a chain bag dredge at d...
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ftpubmed:oai:pubmedcentral.nih.gov:10293975 2023-07-23T04:18:00+02:00 Deep-sea benthic crustacean and annelid data from the Bering Sea Knauber, Henry Kohlenbach, Katharina Böhm, Philipp Lüter, Carsten Ziegler, Alexander Brandt, Angelika Saeedi, Hanieh 2023-04-28 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293975/ http://www.ncbi.nlm.nih.gov/pubmed/37383792 https://doi.org/10.1016/j.dib.2023.109186 en eng Elsevier http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293975/ http://www.ncbi.nlm.nih.gov/pubmed/37383792 http://dx.doi.org/10.1016/j.dib.2023.109186 © 2023 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Data Brief Data Article Text 2023 ftpubmed https://doi.org/10.1016/j.dib.2023.109186 2023-07-02T00:51:39Z Samples of Crustacea and Annelida (Polychaeta, Sipuncula, and Hirudinea) were collected in the Bering Sea and the northwestern Pacific Ocean during scientific cruise SO-249 BERING in 2016. Biological samples were collected from 32 locations by the team on-board RV Sonne using a chain bag dredge at depths ranging between 330–5,070 m, and preserved in 96% ethanol. Specimens were morphologically identified to the lowest taxonomic level possible using a Leica M60 stereomicroscope. The generated data here comprise taxonomic information as well as annotated bathymetric and biogeographic information from a total of 78 samples (26 Crustacea, 47 Polychaeta, 4 Sipuncula, and 1 Hirudinea). The dataset was prepared following Darwin Core Biodiversity standards for FAIR data sharing based on Ocean Biodiversity Information System (OBIS) and Global Biodiversity Facility (GBIF) guidelines. The standardised digitised data were then mobilised to both OBIS and GBIF under CC BY 4.0 licence to publicly share and adopt the data. As records of these important marine taxa from bathyal and abyssal depths are sparse, especially from the deep Bering Sea, the herein generated and digitised data aid in filling existing knowledge gaps on their diversity and distribution in that region. As part of the “Biogeography of the NW Pacific deep-sea fauna and their possible future invasions into the Arctic Ocean” (BENEFICIAL) project, this dataset thus not only increases our knowledge in re-assessing and uncovering the deep-sea diversity of these taxa, but also serves policy and management sectors by providing first-hand data for global report assessments. Text Arctic Arctic Ocean Bering Sea PubMed Central (PMC) Arctic Arctic Ocean Bering Sea Pacific Data in Brief 48 109186 |
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Data Article Knauber, Henry Kohlenbach, Katharina Böhm, Philipp Lüter, Carsten Ziegler, Alexander Brandt, Angelika Saeedi, Hanieh Deep-sea benthic crustacean and annelid data from the Bering Sea |
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Data Article |
description |
Samples of Crustacea and Annelida (Polychaeta, Sipuncula, and Hirudinea) were collected in the Bering Sea and the northwestern Pacific Ocean during scientific cruise SO-249 BERING in 2016. Biological samples were collected from 32 locations by the team on-board RV Sonne using a chain bag dredge at depths ranging between 330–5,070 m, and preserved in 96% ethanol. Specimens were morphologically identified to the lowest taxonomic level possible using a Leica M60 stereomicroscope. The generated data here comprise taxonomic information as well as annotated bathymetric and biogeographic information from a total of 78 samples (26 Crustacea, 47 Polychaeta, 4 Sipuncula, and 1 Hirudinea). The dataset was prepared following Darwin Core Biodiversity standards for FAIR data sharing based on Ocean Biodiversity Information System (OBIS) and Global Biodiversity Facility (GBIF) guidelines. The standardised digitised data were then mobilised to both OBIS and GBIF under CC BY 4.0 licence to publicly share and adopt the data. As records of these important marine taxa from bathyal and abyssal depths are sparse, especially from the deep Bering Sea, the herein generated and digitised data aid in filling existing knowledge gaps on their diversity and distribution in that region. As part of the “Biogeography of the NW Pacific deep-sea fauna and their possible future invasions into the Arctic Ocean” (BENEFICIAL) project, this dataset thus not only increases our knowledge in re-assessing and uncovering the deep-sea diversity of these taxa, but also serves policy and management sectors by providing first-hand data for global report assessments. |
format |
Text |
author |
Knauber, Henry Kohlenbach, Katharina Böhm, Philipp Lüter, Carsten Ziegler, Alexander Brandt, Angelika Saeedi, Hanieh |
author_facet |
Knauber, Henry Kohlenbach, Katharina Böhm, Philipp Lüter, Carsten Ziegler, Alexander Brandt, Angelika Saeedi, Hanieh |
author_sort |
Knauber, Henry |
title |
Deep-sea benthic crustacean and annelid data from the Bering Sea |
title_short |
Deep-sea benthic crustacean and annelid data from the Bering Sea |
title_full |
Deep-sea benthic crustacean and annelid data from the Bering Sea |
title_fullStr |
Deep-sea benthic crustacean and annelid data from the Bering Sea |
title_full_unstemmed |
Deep-sea benthic crustacean and annelid data from the Bering Sea |
title_sort |
deep-sea benthic crustacean and annelid data from the bering sea |
publisher |
Elsevier |
publishDate |
2023 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293975/ http://www.ncbi.nlm.nih.gov/pubmed/37383792 https://doi.org/10.1016/j.dib.2023.109186 |
geographic |
Arctic Arctic Ocean Bering Sea Pacific |
geographic_facet |
Arctic Arctic Ocean Bering Sea Pacific |
genre |
Arctic Arctic Ocean Bering Sea |
genre_facet |
Arctic Arctic Ocean Bering Sea |
op_source |
Data Brief |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293975/ http://www.ncbi.nlm.nih.gov/pubmed/37383792 http://dx.doi.org/10.1016/j.dib.2023.109186 |
op_rights |
© 2023 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
op_doi |
https://doi.org/10.1016/j.dib.2023.109186 |
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Data in Brief |
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