Heterogeneity in the abyssal plains: A case study in the Bering Sea ...

The abyssal plains are vast areas without large-scale topography that occupy much of the ocean floor. Ecological research in these superficially homogenous regions benefits increasingly from non-destructive visual sampling of epifaunal organisms with imaging technology. We analysed images from ultra...

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Main Authors: Sigwart, Julia, Brandt, Angelika, Di Franco, Davide, Escobar Briones, Elva, Gerken, Sarah, Gooday, Andrew J., Grimes, Candace J., Gluchowska, Kamila, Hoffman, Sven, Jażdżewska, Anna M., Kamyab, Elham, Kelch, Andreas, Knauber, Henry, Kohlenbach, Katharina, Miguez-Salas, Olmo, Moreau, Camille, Ogawa, Akito, Poliseno, Angelo, Sanin Muriel, Andreu, Tandberg, Anne Helene S., Theising, Franziska I., Walter, Thomas, Wölfl, Anne-Cathrin, Chen, Chong
Format: Dataset
Language:English
Published: Dryad 2022
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.9s4mw6mm7
https://datadryad.org/stash/dataset/doi:10.5061/dryad.9s4mw6mm7
id ftdatacite:10.5061/dryad.9s4mw6mm7
record_format openpolar
spelling ftdatacite:10.5061/dryad.9s4mw6mm7 2024-02-04T09:59:16+01:00 Heterogeneity in the abyssal plains: A case study in the Bering Sea ... Sigwart, Julia Brandt, Angelika Di Franco, Davide Escobar Briones, Elva Gerken, Sarah Gooday, Andrew J. Grimes, Candace J. Gluchowska, Kamila Hoffman, Sven Jażdżewska, Anna M. Kamyab, Elham Kelch, Andreas Knauber, Henry Kohlenbach, Katharina Miguez-Salas, Olmo Moreau, Camille Ogawa, Akito Poliseno, Angelo Sanin Muriel, Andreu Tandberg, Anne Helene S. Theising, Franziska I. Walter, Thomas Wölfl, Anne-Cathrin Chen, Chong 2022 https://dx.doi.org/10.5061/dryad.9s4mw6mm7 https://datadryad.org/stash/dataset/doi:10.5061/dryad.9s4mw6mm7 en eng Dryad https://dx.doi.org/10.3389/fmars.2022.1037482 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 FOS Biological sciences Aleutian Basin Annotation Game Image analysis Elpidia Xenophyophore Abyssal Plain Dataset dataset 2022 ftdatacite https://doi.org/10.5061/dryad.9s4mw6mm710.3389/fmars.2022.1037482 2024-01-05T04:39:59Z The abyssal plains are vast areas without large-scale topography that occupy much of the ocean floor. Ecological research in these superficially homogenous regions benefits increasingly from non-destructive visual sampling of epifaunal organisms with imaging technology. We analysed images from ultra high-definition towed camera transects at depths around 3500 m across three stations 100–130 km apart in the Bering Sea to ask whether the density and distribution of visible epifauna indicated any substantial heterogeneity. We identified 71 different megafaunal taxa, of which 24 occurred at only one station. Measurements of the two most abundant faunal elements, the holothurian Elpidia minutissima and xenophyophores, indicated significant differences in local densities and patchy aggregations that were strikingly dissimilar among stations. One station was dominated by xenophyophores, one was relatively depauperate in both target taxa as well as other identified megafauna, and the third station was dominated by ... : The dataset contains images and metadata for three deep-sea sampling stations collected via towed camera system. This study was conducted on board the German research vessel R/V SONNE during the ‘AleutBio’ expedition (cruise SO293, July-September 2022), which aimed to systematically investigate the biodiversity, biogeography, and evolution of deep-sea fauna across all size classes in the Bering Sea and Aleutian Trench. The scientific party on board included taxonomic expertise for most major animal groups. Seafloor imaging was undertaken using the Ocean Floor Observation System (OFOS), a towed camera on-board R/V SONNE. This system is equipped with a Full-HD video camera and a 45-megapixel mirrorless camera with a resolution of 8192 x 5464 pixels (Canon EOS R5), as well as a tether-management system to maximise stability. A complementary flash set accompanies the still camera, which requires an average of 10 s to charge between shots. In addition, three laser-points arranged in a triangle and separated by 40 ... Dataset Bering Sea DataCite Metadata Store (German National Library of Science and Technology) Bering Sea
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic FOS Biological sciences
Aleutian Basin
Annotation Game
Image analysis
Elpidia
Xenophyophore
Abyssal Plain
spellingShingle FOS Biological sciences
Aleutian Basin
Annotation Game
Image analysis
Elpidia
Xenophyophore
Abyssal Plain
Sigwart, Julia
Brandt, Angelika
Di Franco, Davide
Escobar Briones, Elva
Gerken, Sarah
Gooday, Andrew J.
Grimes, Candace J.
Gluchowska, Kamila
Hoffman, Sven
Jażdżewska, Anna M.
Kamyab, Elham
Kelch, Andreas
Knauber, Henry
Kohlenbach, Katharina
Miguez-Salas, Olmo
Moreau, Camille
Ogawa, Akito
Poliseno, Angelo
Sanin Muriel, Andreu
Tandberg, Anne Helene S.
Theising, Franziska I.
Walter, Thomas
Wölfl, Anne-Cathrin
Chen, Chong
Heterogeneity in the abyssal plains: A case study in the Bering Sea ...
topic_facet FOS Biological sciences
Aleutian Basin
Annotation Game
Image analysis
Elpidia
Xenophyophore
Abyssal Plain
description The abyssal plains are vast areas without large-scale topography that occupy much of the ocean floor. Ecological research in these superficially homogenous regions benefits increasingly from non-destructive visual sampling of epifaunal organisms with imaging technology. We analysed images from ultra high-definition towed camera transects at depths around 3500 m across three stations 100–130 km apart in the Bering Sea to ask whether the density and distribution of visible epifauna indicated any substantial heterogeneity. We identified 71 different megafaunal taxa, of which 24 occurred at only one station. Measurements of the two most abundant faunal elements, the holothurian Elpidia minutissima and xenophyophores, indicated significant differences in local densities and patchy aggregations that were strikingly dissimilar among stations. One station was dominated by xenophyophores, one was relatively depauperate in both target taxa as well as other identified megafauna, and the third station was dominated by ... : The dataset contains images and metadata for three deep-sea sampling stations collected via towed camera system. This study was conducted on board the German research vessel R/V SONNE during the ‘AleutBio’ expedition (cruise SO293, July-September 2022), which aimed to systematically investigate the biodiversity, biogeography, and evolution of deep-sea fauna across all size classes in the Bering Sea and Aleutian Trench. The scientific party on board included taxonomic expertise for most major animal groups. Seafloor imaging was undertaken using the Ocean Floor Observation System (OFOS), a towed camera on-board R/V SONNE. This system is equipped with a Full-HD video camera and a 45-megapixel mirrorless camera with a resolution of 8192 x 5464 pixels (Canon EOS R5), as well as a tether-management system to maximise stability. A complementary flash set accompanies the still camera, which requires an average of 10 s to charge between shots. In addition, three laser-points arranged in a triangle and separated by 40 ...
format Dataset
author Sigwart, Julia
Brandt, Angelika
Di Franco, Davide
Escobar Briones, Elva
Gerken, Sarah
Gooday, Andrew J.
Grimes, Candace J.
Gluchowska, Kamila
Hoffman, Sven
Jażdżewska, Anna M.
Kamyab, Elham
Kelch, Andreas
Knauber, Henry
Kohlenbach, Katharina
Miguez-Salas, Olmo
Moreau, Camille
Ogawa, Akito
Poliseno, Angelo
Sanin Muriel, Andreu
Tandberg, Anne Helene S.
Theising, Franziska I.
Walter, Thomas
Wölfl, Anne-Cathrin
Chen, Chong
author_facet Sigwart, Julia
Brandt, Angelika
Di Franco, Davide
Escobar Briones, Elva
Gerken, Sarah
Gooday, Andrew J.
Grimes, Candace J.
Gluchowska, Kamila
Hoffman, Sven
Jażdżewska, Anna M.
Kamyab, Elham
Kelch, Andreas
Knauber, Henry
Kohlenbach, Katharina
Miguez-Salas, Olmo
Moreau, Camille
Ogawa, Akito
Poliseno, Angelo
Sanin Muriel, Andreu
Tandberg, Anne Helene S.
Theising, Franziska I.
Walter, Thomas
Wölfl, Anne-Cathrin
Chen, Chong
author_sort Sigwart, Julia
title Heterogeneity in the abyssal plains: A case study in the Bering Sea ...
title_short Heterogeneity in the abyssal plains: A case study in the Bering Sea ...
title_full Heterogeneity in the abyssal plains: A case study in the Bering Sea ...
title_fullStr Heterogeneity in the abyssal plains: A case study in the Bering Sea ...
title_full_unstemmed Heterogeneity in the abyssal plains: A case study in the Bering Sea ...
title_sort heterogeneity in the abyssal plains: a case study in the bering sea ...
publisher Dryad
publishDate 2022
url https://dx.doi.org/10.5061/dryad.9s4mw6mm7
https://datadryad.org/stash/dataset/doi:10.5061/dryad.9s4mw6mm7
geographic Bering Sea
geographic_facet Bering Sea
genre Bering Sea
genre_facet Bering Sea
op_relation https://dx.doi.org/10.3389/fmars.2022.1037482
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_doi https://doi.org/10.5061/dryad.9s4mw6mm710.3389/fmars.2022.1037482
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