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  • 1
    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
    Location Call Number Expected Availability
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  • 2
    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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  • 3
    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
    Location Call Number Expected Availability
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  • 4
    Publication Date: 2024-03-01
    Keywords: AWI_FuncEco; Biodiversity; Calculated; Chlorophyll a; Easting, New Zealand Transverse Mercator 2000; Event label; Functional Ecology @ AWI; Global positioning system; GPS; intertidal; Kaipara; LATITUDE; LONGITUDE; Macrobenthos; Manukau; MULT; Multiple investigations; multi-scale; New Zealand; Northing, New Zealand Transverse Mercator 2000; ORDINAL NUMBER; Sample code/label; Sand, cover; Seagrass, cover; sediment grain-size distributions; Shell debris, cover; spatial; Tauranga
    Type: Dataset
    Format: text/tab-separated-values, 6411 data points
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  • 5
    Publication Date: 2024-03-01
    Keywords: Abbreviation; AWI_FuncEco; Family; Functional Ecology @ AWI; Phylum; Species; Subclass
    Type: Dataset
    Format: text/tab-separated-values, 741 data points
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  • 6
    Publication Date: 2024-03-01
    Keywords: AWI_FuncEco; Biodiversity; Chlorophyll a; Event label; Functional Ecology @ AWI; intertidal; Kaipara; Macrobenthos; Manukau; MULT; Multiple investigations; multi-scale; New Zealand; Number of individuals; Number per class; ORDINAL NUMBER; Sample code/label; sediment grain-size distributions; spatial; Species; Tauranga
    Type: Dataset
    Format: text/tab-separated-values, 14060 data points
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  • 7
    Publication Date: 2024-03-07
    Description: The PAN-Arctic data collection of benthic BIOtas (PANABIO) contains records of benthic fauna identified at genus-level or species-level in field samples taken at point-referenced locations (stations) by means of grabs, towed gear, or seabed imaging. The data are from all major marine Arctic areas, i.e., central Arctic Ocean, Chukchi Sea, East Siberian Sea, Laptev Sea, Kara Sea, Barents Sea (incl. White Sea), Svalbard waters, Greenland Sea, Norwegian Sea, Canadian Archipelago, Beaufort Sea, and Bering Sea, as well as some adjacent sub-Arctic regions (Sea of Japan, Gulf of Okhotsk). Currently (14 December 2023), the collection includes 27 datasets with a total of 126,388 records (ranging from presence to counts, abundances or biomass) of 2,978 taxa, identified in 11,555 samples taken at 10,596 stations during 1,095 cruises between 1800 and 2014. It is also available in a PostgreSQL-based data warehouse that can be accessed and queried through an open-access frontend web service at https://critterbase.awi.de/panabio.
    Keywords: Arctic; Benthos; Biodiversity; biogeography
    Type: Dataset
    Format: application/zip, 27 datasets
    Location Call Number Expected Availability
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  • 8
    Publication Date: 2024-03-01
    Keywords: AWI_FuncEco; Biodiversity; Chlorophyll a; Event label; Functional Ecology @ AWI; Grain size, maximum; Grain size, minimum; intertidal; Kaipara; Macrobenthos; Manukau; Median, grain size; MULT; Multiple investigations; multi-scale; New Zealand; ORDINAL NUMBER; Organic content; Sample code/label; sediment grain-size distributions; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〉 0.500 mm, gravel; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand; Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand; spatial; Tauranga
    Type: Dataset
    Format: text/tab-separated-values, 9600 data points
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  • 9
    Publication Date: 2024-03-01
    Keywords: AWI_FuncEco; Biodiversity; Chlorophyll a; Event label; Functional Ecology @ AWI; Individuals; intertidal; Kaipara; Macrobenthos; Manukau; MULT; Multiple investigations; multi-scale; New Zealand; ORDINAL NUMBER; Sample code/label; sediment grain-size distributions; spatial; Species; Tauranga
    Type: Dataset
    Format: text/tab-separated-values, 67808 data points
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  • 10
    Publication Date: 2024-03-01
    Description: Within the project Spatial Organization of Species Distributions: Hierarchical and Scale-Dependent Patterns and Processes in Coastal Seascapes at the National Institute for Water and Atmospheric Research (NIWA) in New Zealand we collected multi-scale (30cm to 1km) and high resolution data (3 x 400 cores) on macrobenthic biodiversity (146 species), i.e. bivalves, polychaetes and crustaceans (〉 500μm) that live hidden in marine sandflats, and point measurements of important environmental variables (3 x 320 samples), i.e. sediment grain-size distributions measured with a Malvern Mastersizer, chlorophyll a concentrations measured by a fluorometer, and visible sandflat parameters whose coverage was estimated from photos, in three large intertidal Harbours (Kaipara, Tauranga and Manukau). In each Harbour we sampled 400 points for macrobenthic community composition and abundances, as well as the full set of environmental variables, covering spatial scales of a few centimetres to a maximal extent of 1 km. The six tables can be joined by the field "label[ID]", whereas the field [species_abbreviation] can be linked to the species-list (Table 1) to obtain the full scientific name.
    Keywords: AWI_FuncEco; Biodiversity; Chlorophyll a; Functional Ecology @ AWI; intertidal; Macrobenthos; multi-scale; New Zealand; sediment grain-size distributions; spatial
    Type: Dataset
    Format: application/zip, 6 datasets
    Location Call Number Expected Availability
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