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author Cornils, Astrid
Flores, Hauke
Wermeyer, Kim Julie
Anhaus, Philipp
Katlein, Christian
Ashjian, Carin
Campbell, Robert G
Castellani, Giulia
Gelfman, Cecilia
Hildebrandt, Nicole
Knüppel, Nadine
Sakinan, Serdar
Schmidt, Katrin
Svenson, Anders
Schaafsma, Fokje L
Shoemaker, Katyanne
Vortkamp, Martina
Niehoff, Barbara
author_facet Cornils, Astrid
Flores, Hauke
Wermeyer, Kim Julie
Anhaus, Philipp
Katlein, Christian
Ashjian, Carin
Campbell, Robert G
Castellani, Giulia
Gelfman, Cecilia
Hildebrandt, Nicole
Knüppel, Nadine
Sakinan, Serdar
Schmidt, Katrin
Svenson, Anders
Schaafsma, Fokje L
Shoemaker, Katyanne
Vortkamp, Martina
Niehoff, Barbara
collection Datos científicos de ciencias marinas y ambientales
contents Under-ice mesozooplankton samples were collected with a custom-made net (ROVnet, Wollenburg et al. 2020) attached to the ROV (Katlein et al. 2017) during the MOSAiC expedition (PS122) from 2019 to 2020. The net has an aperture of 0.24 m2 and a mesh size of 150 µm. The net was towed horizontally along linear or triangular transects at three depth horizons: directly under the sea ice (0 m), 10 m and occasionally as oblique tows at a deeper horizon between 20 and 100 m depth below the sea ice. The tow distance was calculated from the recorded position of the ROV (as given in Anhaus et al. 2023). All ROV net samples were preserved with a buffered 4% formaldehyde seawater solution and stored at room temperature until processed in the lab. The samples were analyzed with imaged-based ZooScan analysis (Gorsky et al. 2010) and all resulting images were taxonomically classified in the EcoTaxa dataset (https://ecotaxa.obs-vlfr.fr/prj/9968). This data collection includes individual datasets on abundance, and biovolume, biomass and respiration values derived from allometric relationships of the ZooScan image parameters.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_968897
institution PANGAEA
language en
publishDate 2024
publisher PANGAEA
record_format pangaea
spellingShingle Zooplankton abundance, biovolume, biomass and respiration from ROV net samples during the MOSAiC expedition (PS122) in the Central Arctic Ocean
Cornils, Astrid
Flores, Hauke
Wermeyer, Kim Julie
Anhaus, Philipp
Katlein, Christian
Ashjian, Carin
Campbell, Robert G
Castellani, Giulia
Gelfman, Cecilia
Hildebrandt, Nicole
Knüppel, Nadine
Sakinan, Serdar
Schmidt, Katrin
Svenson, Anders
Schaafsma, Fokje L
Shoemaker, Katyanne
Vortkamp, Martina
Niehoff, Barbara
BEAST; MOSAiC; MOSAiC_ECO; Multidisciplinary drifting Observatory for the Study of Arctic Climate; ROV (remotely operated vehicle); Sea ice; under-ice fauna; Zooplankton
Under-ice mesozooplankton samples were collected with a custom-made net (ROVnet, Wollenburg et al. 2020) attached to the ROV (Katlein et al. 2017) during the MOSAiC expedition (PS122) from 2019 to 2020. The net has an aperture of 0.24 m2 and a mesh size of 150 µm. The net was towed horizontally along linear or triangular transects at three depth horizons: directly under the sea ice (0 m), 10 m and occasionally as oblique tows at a deeper horizon between 20 and 100 m depth below the sea ice. The tow distance was calculated from the recorded position of the ROV (as given in Anhaus et al. 2023). All ROV net samples were preserved with a buffered 4% formaldehyde seawater solution and stored at room temperature until processed in the lab. The samples were analyzed with imaged-based ZooScan analysis (Gorsky et al. 2010) and all resulting images were taxonomically classified in the EcoTaxa dataset (https://ecotaxa.obs-vlfr.fr/prj/9968). This data collection includes individual datasets on abundance, and biovolume, biomass and respiration values derived from allometric relationships of the ZooScan image parameters.
title Zooplankton abundance, biovolume, biomass and respiration from ROV net samples during the MOSAiC expedition (PS122) in the Central Arctic Ocean
topic BEAST; MOSAiC; MOSAiC_ECO; Multidisciplinary drifting Observatory for the Study of Arctic Climate; ROV (remotely operated vehicle); Sea ice; under-ice fauna; Zooplankton
url https://doi.org/10.1594/PANGAEA.968897