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  • 1
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    Unraveling the effects of environmental drivers and spatial structure on benthic species distribution patterns in Eurasian-Arctic seas (Barents, Kara and Laptev Seas) (2020)
    Springer
    Details
    Publication Date: 2020-09-07
    Description: In times of accelerating climate change, species are challenged to respond to rapidly shifting environmental settings. Yet, faunal distribution and composition are still scarcely known for remote and little explored seas, where observations are limited in number and mostly refer to local scales. Here, we present the first comprehensive study on Eurasian-Arctic macrobenthos that aims to unravel the relative influence of distinct spatial scales and environmental factors in determining their large-scale distribution and composition patterns. To consider the spatial structure of benthic distribution patterns in response to environmental forcing, we applied Moran’s eigenvector mapping (MEM) on a large dataset of 341 samples from the Barents, Kara and Laptev Seas taken between 1991 and 2014, with a total of 403 macrobenthic taxa (species or genera) that were present in ≥ 10 samples. MEM analysis revealed three spatial scales describing patterns within or beyond single seas (broad: ≥ 400 km, meso: 100–400 km, and small: ≤ 100 km). Each scale is associated with a characteristic benthic fauna and environmental drivers (broad: apparent oxygen utilization and phosphate, meso: distance-to-shoreline and temperature, small: organic carbon flux and distance-to-shoreline). Our results suggest that different environmental factors determine the variation of Eurasian-Arctic benthic community composition within the spatial scales considered and highlight the importance of considering the diverse spatial structure of species communities in marine ecosystems. This multiple-scale approach facilitates an enhanced understanding of the impact of climate-driven environmental changes that is necessary for developing appropriate management strategies for the conservation and sustainable utilization of Arctic marine systems.
    Print ISSN: 0722-4060
    Electronic ISSN: 1432-2056
    Topics: Biology
    Published by Springer
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    PAPER CURRENT
  • 2
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    Data‐driven bioregionalization: A seascape‐scale study of macrobenthic communities in the Eurasian Arctic (2021)
    Wiley
    Details
    Publication Date: 2021-09-09
    Print ISSN: 0305-0270
    Electronic ISSN: 1365-2699
    Topics: Biology , Geography
    Published by Wiley
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    PAPER CURRENT
  • 3
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    Unraveling the effects of environmental drivers and spatial structure on benthic species distribution patterns in Eurasian-Arctic seas (Barents, Kara and Laptev Seas) (2020)
    Springer
    Details
    Publication Date: 2022-04-07
    Description: In times of accelerating climate change, species are challenged to respond to rapidly shifting environmental settings. Yet, faunal distribution and composition are still scarcely known for remote and little explored seas, where observations are limited in number and mostly refer to local scales. Here, we present the first comprehensive study on Eurasian-Arctic macrobenthos that aims to unravel the relative influence of distinct spatial scales and environmental factors in determining their large-scale distribution and composition patterns. To consider the spatial structure of benthic distribution patterns in response to environmental forcing, we applied Moran’s eigenvector mapping (MEM) on a large dataset of 341 samples from the Barents, Kara and Laptev Seas taken between 1991 and 2014, with a total of 403 macrobenthic taxa (species or genera) that were present in ≥ 10 samples. MEM analysis revealed three spatial scales describing patterns within or beyond single seas (broad: ≥ 400 km, meso: 100–400 km, and small: ≤ 100 km). Each scale is associated with a characteristic benthic fauna and environmental drivers (broad: apparent oxygen utilization and phosphate, meso: distance-to-shoreline and temperature, small: organic carbon flux and distance-to-shoreline). Our results suggest that different environmental factors determine the variation of Eurasian-Arctic benthic community composition within the spatial scales considered and highlight the importance of considering the diverse spatial structure of species communities in marine ecosystems. This multiple-scale approach facilitates an enhanced understanding of the impact of climate-driven environmental changes that is necessary for developing appropriate management strategies for the conservation and sustainable utilization of Arctic marine systems.
    Type: Article , PeerReviewed
    Format: text
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    PAPER (OCEANREP)
  • 4
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    Optical observations and spatio-temporal projections of gelatinous zooplankton in the Fram Strait, a gateway to a changing Arctic Ocean (2023)
    Frontiers
    Details
    Publication Date: 2024-02-07
    Description: Global warming causes profound environmental shifts in the Arctic Ocean, altering the composition and structure of communities. In the Fram Strait, a transitional zone between the North-Atlantic and Arctic Ocean, climate change effects are particularly pronounced and accelerated due to an increased inflow of warm Atlantic water. Gelatinous zooplankton are known as key predators, consuming a great variety of prey and playing an important role in marine ecosystems. Insufficient knowledge of how gelatinous zooplankton are affected by environmental change has resulted in a notable gap in the understanding of the future state of Arctic ecosystems. We analyzed the diversity and abundance of gelatinous zooplankton down to 2600 m depth and established the first regional baseline dataset using optical observations obtained by the towed underwater camera system PELAGIOS (Pelagic In situ Observation System). Our data estimate the abundance of 20 taxa of gelatinous zooplankton. The most abundant taxa belong to the family of Rhopalonematidae, mainly consisting of Aglantha digitale and Sminthea arctica, and the suborder Physonectae. Using the observational data, we employed a joint species distribution modelling approach to better understand their distributional patterns. Variance partitioning over the explanatory variables showed that depth and temperature explained a substantial amount of variation for most of the taxa, suggesting that these parameters drive diversity and distribution. Spatial distribution modelling revealed that the highest abundance and diversity of jellyfish are expected in the marginal sea-ice zones. By coupling the model with climate scenarios of environmental changes, we were able to project potential changes in the spatial distribution and composition of gelatinous communities from 2020 to 2050 (during the summer season). The near-future projections confirmed that with further temperature increases, gelatinous zooplankton communities in the Fram Strait would become less diverse but more abundant. Among taxa of the Rhopalonematidae family, the abundance of Aglantha digitale in the entire water column would increase by 2%, while a loss of up to 60% is to be expected for Sminthea arctica by 2050. The combination of in situ observations and species distribution modelling shows promise as a tool for predicting gelatinous zooplankton community shifts in a changing ocean.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Format: other
    Format: other
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  • 5
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    Sand and silt distribution in the Eurasian Arctic, links to Geotiff (2019)
    PANGAEA
    Details
    Publication Date: 2024-01-04
    Keywords: Eurasian Arctic seas; File content; File format; File name; File size; Grain-size distributions; sediment; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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    DATA PANGAEA
  • 6
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    Grain-size distribution in surficial seafloor sediments of Eurasian Arctic seas (2019)
    PANGAEA
    Details
    Publication Date: 2024-01-04
    Description: Within the Russian-German collaborative research project The Changing Arctic Transpolar System (CATS; see www.transdrift.info), benthic species distributions have been modelled across large geographic scales in Eurasian Arctic seas. As surficial seafloor sediment grain size is one important explanatory variable used in these modelling studies, we compiled open-access information from 23 data sets on this environmental parameter, pooling validated grain-size data from a total of 2,134 sampling sites distributed across the Barents, Kara, Laptev and East Siberian Seas, as well as some abyssal regions of the central Arctic Ocean. As grain-size distributions are differently scaled in western European and Russian sources, all data were uniformly transformed to the Udden-Wentworth scale using the "approximation" function in R prior to further processing and archiving. For this, a linear interpolation was utilized to split the 50-100 µm grain-size fraction used in Russian data sets into the silt (≤ 63 µm) and sand (〉 63 µm) fraction of the Udden-Wentworth scale. Using the kriging R package "automap", interpolated maps were created showing the geographic distribution of the percentages (%) of fine (silt and clay: ≤ 63 µm) and coarse (〉 63 µm to 2 mm) grain-size fractions in surface seafloor sediments. These maps were first created in the Sea Ice Polar Stereographic North CRS projection, followed by a transformation to the standard WGS84 CRS projection.
    Keywords: Eurasian Arctic seas; Grain-size distributions; sediment
    Type: Dataset
    Format: application/zip, 2 datasets
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    DATA PANGAEA
  • 7
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    Grain-size distribution in surficial seafloor sediments of Eurasian Arctic seas (2019)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: 104-1; 109-1; 111-2; 114-1; 117-1; 120-1; 121-1; 122-2; 287-2; 57-04; 57-06; 57-07; 57-08; 57-09; 57-11; 57-12; 57-13; 57-14; 57-20; 58-08; 61-1; 76-2; Akademik Boris Petrov; Akademik Ioffe; Akademik Sergey Vavilov; Amundsen Basin; Arctic; Arctic Ocean; ARK-I/3; ARK-II/4; ARK-II/5; ARK-III/3; ARK-IV/3; ARK-V/2; ARK-VIII/2; ARK-VIII/3; ARK-XI/1; ASV13; ASV13_1088-G; ASV13_1092-G; ASV13_1093-G; ASV13_1094-G; ASV13_1112-G; ASV13_1117-G; ASV13_1118-G; ASV13_1119-G; ASV13_1123-G; ASV13_1124-G; ASV13_1125-G; ASV13_1126-G; ASV13_1127-G; ASV13_1128-G; ASV13_1129-G; ASV13_1130; ASV13_1137-G; ASV13_1150-G; ASV13_1151-G; ASV13_1157-G; Barents Sea; BC; Box corer; BP00; BP00-02/02; BP00-02/03; BP00-05/04; BP00-07/08; BP00-08/03; BP00-09/03; BP00-13/03; BP00-14/02; BP00-15/03; BP00-15/04; BP00-16/03; BP00-17/02; BP00-17/03; BP00-19/01; BP00-22/03; BP00-26/03; BP00-28/01; BP00-29/02; BP00-29/03; BP00-30/01; BP00-31/01; BP00-35/03; BP00-36/08; BP00-38/01; BP01; BP01-01/07; BP01-03/02; BP01-07/01; BP01-08/01; BP01-11/03; BP01-14/01; BP01-16/01; BP01-21/01; BP01-23/01; BP01-24/01; BP01-25/01; BP01-28/05; BP01-28/06; BP01-29/01; BP01-30/05; BP01-31/05; BP01-32/01; BP01-33/01; BP01-34/05; BP01-34/06; BP01-36/01; BP01-37/05; BP01-38/01; BP01-41/05; BP01-41/06; BP01-43/06; BP01-45/05; BP01-47/01; BP01-47/02; BP01-48/05; BP01-48/06; BP01-51/04; BP01-55/04; BP01-56/05; BP01-57/01; BP01-58/04; BP01-60/01; BP01-61b/05; BP01-61b/06; BP01-63/01; BP01-64/04; BP01-64/05; BP01-65/04; BP01-66/04; BP01-67/01; BP01-68/04; BP01-70/05; BP01-72a/02; BP01-73/04; BP01-73a/01; BP01-74/01; BP01-75/01; BP01-76/01; BP01-77/01; BP01-78/01; BP01-79/01; BP01-80/05; BP01-82/01; BP01-83/01; BP97; BP97-10; BP97-12; BP97-17; BP97-19; BP97-21; BP97-27; BP97-32; BP97-35; BP97-39; BP97-42; BP97-43; BP97-46; BP97-47; BP97-48; BP97-49; BP97-50; BP97-52; BP97-55; BP97-56; BP97-58; BP99; BP99-01/04; BP99-02/05; BP99-03/05; BP99-04/05; BP99-05/01; BP99-08/05; BP99-11/05; BP99-12/05; BP99-13/05; BP99-17/05; BP99-18/06; BP99-19/05; BP99-24/05; BP99-24/06; BP99-25/05; BP99-25/06; BP99-28/05; BP99-29/05; BP99-30/06; BP99-31/06; BP99-32/06; BP99-38/05; BP99-39/05; CTD/Rosette; CTD-RO; DEPTH, sediment/rock; DIVERSE; Don-1959-10; Don-1959-11; Don-1959-12; Don-1959-13; Don-1959-2; Don-1959-20; Don-1959-23; Don-1959-39; Don-1959-4; Don-1959-40; Don-1959-41; Don-1959-42; Don-1959-43; Don-1959-44; Don-1959-45; Don-1959-46; Don-1959-47; Don-1959-48; Don-1959-49; Don-1959-5; Don-1959-51; Don-1959-52; Don-1959-53; Don-1959-54; Don-1959-55; Don-1959-56; Don-1959-58; Don-1959-59; Don-1959-6; Don-1959-60; Don-1959-63; Don-1959-64; Don-1959-65; Don-1959-66; Don-1959-67; Don-1959-68; Don-1959-69; Don-1959-8; Don-1959-9; D-S-1959-2; D-S-1959-4; D-S-1959-5; D-S-1959-6; East Siberian Sea; Elevation of event; Eurasian Arctic seas; Event label; Exp-1953-1; Exp-1953-106; Exp-1953-107; Exp-1953-108; Exp-1953-112; Exp-1953-118; Exp-1953-119; Exp-1953-121; Exp-1953-129; Exp-1953-13; Exp-1953-130; Exp-1953-131; Exp-1953-134; Exp-1953-135; Exp-1953-137; Exp-1953-15; Exp-1953-160; Exp-1953-161; Exp-1953-162; Exp-1953-17; Exp-1953-179; Exp-1953-182; Exp-1953-183; Exp-1953-186; Exp-1953-187; Exp-1953-19; Exp-1953-195; Exp-1953-197; Exp-1953-198; Exp-1953-199; Exp-1953-2; Exp-1953-200; Exp-1953-201; Exp-1953-202; Exp-1953-22; Exp-1953-23; Exp-1953-27; Exp-1953-36; Exp-1953-37; Exp-1953-4; Exp-1953-40; Exp-1953-41; Exp-1953-42; Exp-1953-43; Exp-1953-44; Exp-1953-45; Exp-1953-46; Exp-1953-47; Exp-1953-48; Exp-1953-49; Exp-1953-5; Exp-1953-50; Exp-1953-52; Exp-1953-53; Exp-1953-54; Exp-1953-55; Exp-1953-6; Exp-1953-8; Exp-1953-9; Exp-1953-90; Exp-1953-91; Exp-1953-92; Exp-1953-94; Exp-1953-95; Exp-1953-96; Exp-1953-97; Exp-1953-98; Exp-1954-1; Exp-1954-10; Exp-1954-100; Exp-1954-103; Exp-1954-105; Exp-1954-106; Exp-1954-107; Exp-1954-114; Exp-1954-115; Exp-1954-116; Exp-1954-117; Exp-1954-118; Exp-1954-119; Exp-1954-12; Exp-1954-120; Exp-1954-122; Exp-1954-124; Exp-1954-128; Exp-1954-129; Exp-1954-132; Exp-1954-133; Exp-1954-134; Exp-1954-135; Exp-1954-136; Exp-1954-138; Exp-1954-139; Exp-1954-14; Exp-1954-141; Exp-1954-145; Exp-1954-146; Exp-1954-147; Exp-1954-15; Exp-1954-155; Exp-1954-157; Exp-1954-16; Exp-1954-164; Exp-1954-165; Exp-1954-166; Exp-1954-167; Exp-1954-17; Exp-1954-182; Exp-1954-185; Exp-1954-20; Exp-1954-203; Exp-1954-204; Exp-1954-206; Exp-1954-207; Exp-1954-208; Exp-1954-21; Exp-1954-210; Exp-1954-211; Exp-1954-212; Exp-1954-22; Exp-1954-229; Exp-1954-23; Exp-1954-232; Exp-1954-236; Exp-1954-237; Exp-1954-25; Exp-1954-26; Exp-1954-29; Exp-1954-30; Exp-1954-31; Exp-1954-33; Exp-1954-34; Exp-1954-35; Exp-1954-36; Exp-1954-37; Exp-1954-41; Exp-1954-42; Exp-1954-43; Exp-1954-44; Exp-1954-46; Exp-1954-47; Exp-1954-48; Exp-1954-49; Exp-1954-50; Exp-1954-51; Exp-1954-56; Exp-1954-59; Exp-1954-61; Exp-1954-68; Exp-1954-69; Exp-1954-76; Exp-1954-78; Exp-1954-80; Exp-1954-81; Exp-1954-82; Exp-1954-84; Exp-1954-85; Exp-1954-86; Exp-1954-89; Exp-1954-91; Exp-1954-92; Exp-1954-93; Exp-1954-99; Exp-1955-10; Exp-1955-104; Exp-1955-105; Exp-1955-106; Exp-1955-108; Exp-1955-11; Exp-1955-122; Exp-1955-123; Exp-1955-124; Exp-1955-125; Exp-1955-127; Exp-1955-128; Exp-1955-129; Exp-1955-13; Exp-1955-130; Exp-1955-131; Exp-1955-132; Exp-1955-133; Exp-1955-134; Exp-1955-135; Exp-1955-136; Exp-1955-137; Exp-1955-139; Exp-1955-14; Exp-1955-143; Exp-1955-144; Exp-1955-145; Exp-1955-146; Exp-1955-147; Exp-1955-148; Exp-1955-149; Exp-1955-151; Exp-1955-152; Exp-1955-153; Exp-1955-154; Exp-1955-155; Exp-1955-156; Exp-1955-157; Exp-1955-158; Exp-1955-159; Exp-1955-16; Exp-1955-160; Exp-1955-161; Exp-1955-164; Exp-1955-165; Exp-1955-166; Exp-1955-167; Exp-1955-17; Exp-1955-18; Exp-1955-19; Exp-1955-196; Exp-1955-197; Exp-1955-198; Exp-1955-199; Exp-1955-2; Exp-1955-20; Exp-1955-201; Exp-1955-202; Exp-1955-204; Exp-1955-205; Exp-1955-206; Exp-1955-207; Exp-1955-21; Exp-1955-214; Exp-1955-22; Exp-1955-24; Exp-1955-25; Exp-1955-3; Exp-1955-36; Exp-1955-37; Exp-1955-39; Exp-1955-4; Exp-1955-41; Exp-1955-42; Exp-1955-43; Exp-1955-44; Exp-1955-45; Exp-1955-47; Exp-1955-5; Exp-1955-51; Exp-1955-52; Exp-1955-53; Exp-1955-54; Exp-1955-55; Exp-1955-56; Exp-1955-58; Exp-1955-59; Exp-1955-6; Exp-1955-60; Exp-1955-62; Exp-1955-65; Exp-1955-66; Exp-1955-67; Exp-1955-7; Exp-1955-72; Exp-1955-73; Exp-1955-74; Exp-1955-76; Exp-1955-8; Exp-1955-9; Exp-1955-90; Exp-1955-93; Exp-1955-94; Exp-1955-95; Exp-1956-11; Exp-1956-12; Exp-1956-2; Exp-1956-22; Exp-1956-23; Exp-1956-27; Exp-1956-29; Exp-1956-3; Exp-1956-30; Exp-1956-47; Exp-1956-48; Exp-1956-49; Exp-1956-50; Exp-1956-51; Exp-1956-52; Exp-1956-6; Exp-1956-8; Exp-1956-9; Exp-1959-12/1; Exp-1959-14/2; Exp-1959-15/3; Exp-1959-16/4; Exp-1959-179/16; Exp-1959-183/17; Exp-1959-199/18; Exp-1959-202/19; Exp-1959-214/20; Exp-1959-215/21; Exp-1959-225/22; Exp-1959-226/23; Exp-1959-229/24; Exp-1959-230/25; Exp-1959-231/26; Exp-1959-232/27; Exp-1959-234/28; Exp-1959-235/29; Exp-1959-236/30; Exp-1959-237/31; Exp-1959-238/32; Exp-1959-240/33; Exp-1959-241/34; Exp-1959-242/35; Exp-1959-251/36; Exp-1959-252/37; Exp-1959-253/38; Exp-1959-254/39; Exp-1959-256/40; Exp-1959-26/8; Exp-1959-265/41; Exp-1959-265/42; Exp-1959-27/9; Exp-1959-28/10; Exp-1959-29/11; Exp-1959-32/13; Exp-1959-33/14; Exp-1959-34/15; Exp-1960-10; Exp-1960-109; Exp-1960-110; Exp-1960-111; Exp-1960-113; Exp-1960-118; Exp-1960-119; Exp-1960-122; Exp-1960-125; Exp-1960-126; Exp-1960-131; Exp-1960-138; Exp-1960-139; Exp-1960-142; Exp-1960-152; Exp-1960-159; Exp-1960-17; Exp-1960-18; Exp-1960-21; Exp-1960-23; Exp-1960-24; Exp-1960-26; Exp-1960-28; Exp-1960-32; Exp-1960-35; Exp-1960-36; Exp-1960-37; Exp-1960-48; Exp-1960-50; Exp-1960-67; Exp-1960-81; Exp-1960-9; Exp-1960-91; Exp-1960-95; Exp-1961-101/25; Exp-1961-102/26; Exp-1961-103/27; Exp-1961-104/28; Exp-1961-105/29; Exp-1961-110/30; Exp-1961-111/31; Exp-1961-112/32; Exp-1961-115/33; Exp-1961-120/35; Exp-1961-123/36; Exp-1961-124/37; Exp-1961-19/2; Exp-1961-21/3; Exp-1961-23/4; Exp-1961-26/5; Exp-1961-28/6; Exp-1961-
    Type: Dataset
    Format: text/tab-separated-values, 4266 data points
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    DATA PANGAEA
  • 8
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    Multi-scale data on macrobenthic biodiversity and environmental variables along Eurasian Arctic shelf seas (2019)
    PANGAEA
    In:  Supplement to: Hansen, Miriam Lea Sarah; Piepenburg, Dieter; Pantiukhin, Dmitrii; Kraan, Casper (2020): Unraveling the effects of environmental drivers and spatial structure on benthic species distribution patterns in Eurasian-Arctic seas (Barents, Kara and Laptev Seas). Polar Biology, 43(11), 1693-1705, https://doi.org/10.1007/s00300-020-02737-9
    Details
    Publication Date: 2024-04-16
    Description: Within the project The Changing Arctic Transpolar System (CATS) we compiled macrobenthic community data from previously conducted ship expeditions into the Arctic Ocean. These data were cleaned and harmonized and comprise 1500 different taxa in 363 sampling points in the Eurasian Arctic covering marine regions from the Barents Sea to the East Siberian Sea. Furthermore, we acquired data on 12 different environmental variables fitting to the sampling locations from the biotic data.
    Keywords: 10; 12; 14; 15v; 17; 18; 19; 20; 20b; 20bb; 21bb; 23bb; 24bb; 24v; 25; 25b; 26b; 26v; 27v; 28; 28b; 29b; 54; 55b; 56bb; 57b; 58b; 59b; 60b; 62b; 63; 64b; 66b; 68b; 7; 70b; 72b; 73bb; 74; 75; 77; Arctic_sta1; Arctic_sta10; Arctic_sta11; Arctic_sta118; Arctic_sta119; Arctic_sta12; Arctic_sta122; Arctic_sta128; Arctic_sta13; Arctic_sta133; Arctic_sta135; Arctic_sta140; Arctic_sta141; Arctic_sta145; Arctic_sta148; Arctic_sta15; Arctic_sta159; Arctic_sta16; Arctic_sta161; Arctic_sta162; Arctic_sta163; Arctic_sta17; Arctic_sta171; Arctic_sta174; Arctic_sta178; Arctic_sta18; Arctic_sta21; Arctic_sta22; Arctic_sta24; Arctic_sta26; Arctic_sta28; Arctic_sta29; Arctic_sta31; Arctic_sta32; Arctic_sta34; Arctic_sta4; Arctic_sta45; Arctic_sta47; Arctic_sta48; Arctic_sta5; Arctic_sta50; Arctic_sta52; Arctic_sta54; Arctic_sta5531; Arctic_sta5532; Arctic_sta5533; Arctic_sta5534; Arctic_sta5535; Arctic_sta5536; Arctic_sta5537; Arctic_sta5538; Arctic_sta56; Arctic_sta57; Arctic_sta58; Arctic_sta6; Arctic_sta617; Arctic_sta618; Arctic_sta619; Arctic_sta620; Arctic_sta621; Arctic_sta622; Arctic_sta623; Arctic_sta624; Arctic_sta625; Arctic_sta626; Arctic_sta627; Arctic_sta628; Arctic_sta629; Arctic_sta630; Arctic_sta65; Arctic_sta7; Arctic_sta8; Arctic_sta811; Arctic_sta812; Arctic_sta813; Arctic_sta814; Arctic_sta815; Arctic_sta816; Arctic_sta817; Arctic_sta818; Arctic_sta819; Arctic_sta820; Arctic_sta821; Arctic_sta822; Arctic_sta823; Arctic_sta824; Arctic_sta9; Arctic_staBS1; Arctic_staBS10; Arctic_staBS11; Arctic_staBS12; Arctic_staBS13; Arctic_staBS14; Arctic_staBS15; Arctic_staBS16; Arctic_staBS17; Arctic_staBS18; Arctic_staBS19; Arctic_staBS2; Arctic_staBS20; Arctic_staBS21; Arctic_staBS22; Arctic_staBS23; Arctic_staBS24; Arctic_staBS25; Arctic_staBS26; Arctic_staBS27; Arctic_staBS28; Arctic_staBS29; Arctic_staBS3; Arctic_staBS30; Arctic_staBS31; Arctic_staBS32; Arctic_staBS33; Arctic_staBS34; Arctic_staBS35; Arctic_staBS36; Arctic_staBS37; Arctic_staBS38; Arctic_staBS39; Arctic_staBS4; Arctic_staBS40; Arctic_staBS41; Arctic_staBS42; Arctic_staBS43; Arctic_staBS44; Arctic_staBS45; Arctic_staBS46; Arctic_staBS47; Arctic_staBS5; Arctic_staBS6; Arctic_staBS7; Arctic_staBS8; Arctic_staBS9; Arctic Ocean; Area/locality; ARK-XI/1; ARK-XIII/2; Barents Sea; BC; BCR; Biodiversity; Blagoveshenskiy Stra; Box corer; Box corer (Reineck); CABANERA-I; CABANERA-II; CABANERA-III; CABANERA-IV; CABANERA-V; CABANERA-VI; CABANERA-VIII; CABANERA-X; CABANERA-XI; CABANERA-XII; CABANERA-XV; CABANERA-XVI; CABANERA-XVII; CABANERA-XVIII; Carbon, flux per year; CATS; CATS - The Changing Arctic Transpolar System; community analysis; DATE/TIME; Depth, bathymetric; DEPTH, water; Distance; Dmitry Laptev Strait; East Siberian Sea; ENV; environmental factors; Environmental investigation; Eurasian Arctic; Event label; extracted from the World Ocean Atlas 2018 (WOA18); Franz Josef Land; GBG; Giant box corer; Giant box grab; GKG; IK9301-4; IK9305; IK9309-2; IK9315-1; IK9316-5; IK9320-1; IK9321-4; IK9323-4; IK9324-3; IK9326-6; IK9327-5; IK9330-4; IK9334-5; IK9338-4; IK9340-5; IK9342-5; IK9344-6; IK9346-4; IK9348-4; IK9349-4; IK9350-6; IK9353-8; IK9356-1; IK9358-5; IK9361-9; IK9365-6; IK9367-1; IK9370-6; IK9373-6; IK9373A-5; IK9381-3; IK9382-4; IK9384-1; IK93Z2-4; IK93Z3-2; IK93Z4-3; IK93Z5-3; Ivan Kireyev; Jan Mayen; JM2003-CABANERA; JM2004-CABANERA; JM2005-CABANERA; Kapitan Dranitsyn; Kara Sea; Kara Sea, Ob and Yenisey estuary; KD9502-11; KD9509-2; KD9510-2; KD9517-2; KD9523-5; KD9529-10; KD9533-6; KD9541-11; KD9548-10; KD9555-9; KD9560-3; KD9564-3; KD9565-8; KD9568-6; LA03/11; LA03/11_OTI2-EE2; LA03/11_OTI2-EE4; LA03/11_OTI2-H1; LA03/11_OTI2-ICE1; LA03/11_OTI2-ICE2; LA03/11_OTI2-N; LA03/11_OTI2-R1; LA03/11_OTI2-R2; Lance; Laptev Sea; LATITUDE; LONGITUDE; Macrobenthos; MERA-95-YaS-1995; MUC; MULT; MultiCorer; Multiple investigations; multi-scale; Nitrate; North of Svalbard; OTI 2, Erik Eriksenstredet2; OTI 2, Erik Eriksenstredet4; OTI 2, Hinlopen; OTI 2, ICE1; OTI 2, ICE2; OTI 2, Inner Rijpfjord; OTI 2, N_ Hinlopen Trench; OTI 2, Outer Rijpfjord; Oxygen; Oxygen, apparent utilization; Pechora Sea; PF_Transect-11; PF_Transect-12; PF_Transect-14; PF_Transect-16; PF_Transect-18; PF_Transect-20; Phosphate; PM9401-d; PM9413-d; PM9419-d; PM9424-d; PM9441-d; PM9445-d; PM9462-d; PM9463-d; PM9475-d; PM9477-d; PM9480-d; PM9490-d; PM9494-d; PM94A51-d; Polar Front; Polarstern; Presence/absence; Professor Multanovskiy; PS2718-4; PS2721-2; PS2722-2; PS2723-3; PS2724-3; PS2725-4; PS2726-2; PS2727-2; PS2728-2; PS2729-2; PS2730-2; PS2731-2; PS2732-3; PS2733-2; PS2734-2; PS2735-3; PS2743-3; PS2744-2; PS2746-3; PS2747-6; PS2748-6; PS2764-3; PS2765-2; PS2766-3; PS2767-2; PS2768-2; PS2769-3; PS2770-4; PS2771-2; PS2772-2; PS2775-2; PS2776-3; PS2777-2; PS2779-3; PS2780-2; PS2784-2; PS2789-2; PS2830-6; PS2831-5; PS36; PS36/002; PS36/004; PS36/006; PS36/007; PS36/008; PS36/009; PS36/010; PS36/011; PS36/012; PS36/016; PS36/017; PS36/018; PS36/019; PS36/020; PS36/021; PS36/022; PS36/031; PS36/032; PS36/036; PS36/040a; PS36/042; PS36/062; PS36/064; PS36/065; PS36/066; PS36/067; PS36/069; PS36/071; PS36/072; PS36/073; PS36/079; PS36/080; PS36/081; PS36/083; PS36/084; PS36/088; PS36/093; PS44; PS44/057; PS44/058; Reference of data; Salinity; Sannikov Strait; Sea ice concentration; Size fraction 〈 0.063 mm, mud, silt+clay; Slope; Spitsbergen_16; Spitsbergen_17; Spitsbergen_18; Spitsbergen_19; Spitsbergen_20; Spitsbergen_21; Spitsbergen_22; Spitsbergen_23; Spitsbergen_24; Spitsbergen_25; Spitsbergen_26; Station label; Svalbard; Temperature, water; Transdrift-I; Transdrift-II; Transdrift-III; Transdrift-XXI; Transdrift-XXII; Uniform resource locator/link to reference; van Veen Grab; VB13; VB13_15-7; VB13_16-10; VB13_5-2; VB13_9-5; VB14; VB14_15-11; VB14_16-2a; VB14_18-4; VB14_2-3; VB14_26-4; VB14_29-3; VB14_8-4; VGRAB; Viktor Buynitskiy; Vilkitskiy Strait; W Spitzbergen; Yakov Smirnitskiy; YaS-95020b; YaS-95020bb; YaS-95021bb; YaS-95023bb; YaS-95024bb; YaS-95025b; YaS-95026b; YaS-95028b; YaS-95029b; YaS-95054; YaS-95055b; YaS-95056bb; YaS-95057b; YaS-95058b; YaS-95059b; YaS-95060b; YaS-95062b; YaS-95063; YaS-95064b; YaS-95066b; YaS-95068b; YaS-95070b; YaS-95072b; YaS-95073bb; YaS-95074; YaS-95075; YaS-95076; YaS-95077
    Type: Dataset
    Format: text/tab-separated-values, 717082 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 9
    facet.materialart.
    Unknown
    Gelatinous zooplankton annotations of pelagic video transects in the Fram Strait during the R/V POLARSTERN expedition PS121 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: We collected optical datasets during horizontal video transects with the Pelagic In Situ Observation System (PELAGIOS), a towed camera system, deployed at different localities in the Fram Strait during the R/V Polarstern expedition PS121 in August/September 2019. This system allowed to collect video footage of the larger-sized pelagic fauna (macro- and megazooplankton) in the water column at 4 stations, at depths ranging from 20 m to 2000m. Gelatinous zooplankton taxa, including ctenophores, cnidarian medusae and siphonophores, were annotated and identified to the lowest taxonomic level possible (species, genus). In this dataset, we present the annotations of these video transects with the associated metadata, and for each annotation, a 4-second videoclip. The name of each video file contains the following information: Observation ID, Expedition, Station, Taxa, Depth (example 1_PS121_HG4_Aglantha_digitale_400.mp4). This dataset was used to assess diversity, distributions and abundance data on gelatinous zooplankton in the rapidly changing Atlantic-Arctic gateway, Fram Strait.
    Keywords: deep-sea organisms; DEPTH, water; Event label; Fram Strait; gelatinous zooplankton; HD video annotation; Identification; LATITUDE; LONGITUDE; North Greenland Sea; Observation; Pelagic In situ Observation System PELAGIOS; PELAGIOS; Polarstern; PS121; PS121_11-2; PS121_32-8; PS121_41-10; PS121_43-9; Station label; towed camera system; Video, under water
    Type: Dataset
    Format: text/tab-separated-values, 5832 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 10
    facet.materialart.
    Unknown
    Gelatinous zooplankton annotations of pelagic video transects in the Fram Strait during the R/V Polarstern expedition PS126 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: We collected optical datasets during horizontal video transects with the Pelagic In Situ Observation System (PELAGIOS), a towed camera system, deployed at different localities in the Fram Strait during the R/V Polarstern expedition PS126 from May to June 2021. This system allowed to collect video footage of the larger-sized pelagic fauna (macro- and megazooplankton) in the water column at 3 stations, at depths ranging from 20 m to 2000m. Gelatinous zooplankton taxa, including ctenophores, cnidarian medusae and siphonophores, were annotated and identified to the lowest taxonomic level possible (species, genus). In this dataset, we present the annotations of these video transects with the associated metadata, and for each annotation, a 4-second videoclip. The name of each video file contains the following information: Observation ID, Expedition, Station, Taxa, Depth (example 1_PS126_HG4_Aglantha_digitale_400.mp4). This dataset was used to assess diversity, distributions and abundance data on gelatinous zooplankton in the rapidly changing Atlantic-Arctic gateway, Fram Strait.
    Keywords: deep-sea organisms; DEPTH, water; EG-IV; Event label; Fram Strait; gelatinous zooplankton; GPF 20-1_021; HD video annotation; HG-IV; Identification; LATITUDE; LONGITUDE; North Greenland Sea; Observation; Pelagic In situ Observation System PELAGIOS; PELAGIOS; Polarstern; PS126; PS126_20-7; PS126_2-9; PS126_3-20; S3; Station label; towed camera system; Video, under water
    Type: Dataset
    Format: text/tab-separated-values, 6520 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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