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  • Eurasian Arctic seas; Grain-size distributions; sediment  (1)
  • 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  (1)
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  • 1
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    Unknown
    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
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    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
    BibTip Others were also interested in ...
    DATA PANGAEA
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