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  • PANGAEA  (52)
  • 2015-2019  (23)
  • 2010-2014  (29)
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Year
  • 1
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    Abundance records of the five most abundant brittle star species (Ophiuroidea) from trawl, grab and trap samples in the Weddell Sea and neighbouring seas during POLARSTERN cruises ANT-I/2, ANT-II/4, ANT-V/3-4, ANT-VI/3, ANT-IX/3 and ANT-X/3 (2019)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2023-04-21
    Description: The dataset comprises a total of 540 records of abundance of Astrotoma agassizii Lyman, 1875, Ophionotus victoriae (Bell, 1902), Ophioplinthus brevirima (Mortensen, 1936), Ophioplinthus gelida (Koehler, 1901) and Ophioplocus incipiens (Koehler, 1922) from 106 trawl samples (Agassiz trawl, bottom trawl, dredge) and two others (multi-box corer, weir basket). The dataset was collected on the shelf and slope of the Antarctic Weddell Sea and Lazarev Sea (depth range: 130 - 970 m) during "Polarstern" cruises ANT I/2 (1983), ANT II/4 (1983/84), ANT V/3 and 4 (1986/87), ANT VI/3 (1987/88), ANT IX/3 (1990/91) and ANT X/3 (1992).
    Keywords: Agassiz Trawl; AGT; ANT-I/2; ANT-II/4; ANT-IX/3; ANT-V/3; ANT-V/4; ANT-VI/3; ANT-X/3; Area; Astrotoma agassizii; Bottom trawl; BT; Campaign; DATE/TIME; DEPTH, water; Dredge; DRG; Event label; FTS; Gear; Height; LATITUDE; Lazarev Sea; Length; LONGITUDE; Mesh size; MG; MULT; Multiboxcorer; Multiple investigations; Ophionotus victoriae; Ophioplinthus brevirima; Ophioplinthus gelida; Ophioplocus incipiens; Photo sledge; Polarstern; Project; PS01; PS01/128; PS01/132; PS01/135; PS01/147; PS01/149; PS01/153; PS01/161; PS01/168; PS01/180; PS01/192; PS01/195; PS01/196; PS01/198; PS01/207; PS01/210; PS01/213; PS01/216; PS01/220; PS04; PS04/303; PS04/308; PS04/310; PS04/341; PS04/369; PS04/372; PS04/378; PS04/386; PS04/417; PS04/428; PS04/438; PS04/450; PS04/460; PS04/470; PS04/474; PS04/480; PS04/490; PS04/492; PS04/506; PS04/510; PS04/524; PS10; PS10/508-2; PS10/517-2; PS10/520-6; PS10/522-1; PS10/523-2; PS10/527-2; PS10/531-1; PS10/536-1; PS10/537-1; PS10/553-2; PS10/561-4; PS10/566-4; PS10/571-4; PS10/575-4; PS10/580-3; PS10/584-9; PS10/585-2; PS10/589-3; PS10/590-3; PS10/592-3; PS10/593-1; PS10/594-3; PS10/615-3; PS10/618-9; PS10/627-6; PS10/672-2; PS10/692; PS10/704; PS10/738; PS10/796; PS10 WWSP86; PS12; PS12/266-2; PS12/298; PS12/314; PS12/323; PS12/333-2; PS12/342; PS12/346; PS12/384; PS12/387; PS12/396; PS12/396-2; PS12/418; PS12/437; PS12/512; PS18; PS18/123-1; PS18/123-2; PS18/129-1; PS18/133-1; PS18/135-2; PS18/158-1; PS18/160-2; PS18/162-1; PS18/165-2; PS18/168-1; PS18/169-1; PS18/171-2; PS18/173-1; PS18/174-1; PS18/176-1; PS18/179-1; PS18/180-3; PS18/192-2; PS18/206-1; PS18/207-2; PS18/211-1; PS18/212-8; PS18/220-1; PS21; PS21/352; PS21/432; Sample ID; Ship speed; South Atlantic Ocean; Station label; Trawling distance; Trawling time; Weddell Sea; Width
    Type: Dataset
    Format: text/tab-separated-values, 1723 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
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    Abundance and biomass records of two sea urchin species (Sterechinus antarcticus, S. neumayeri) from trawls, grabs, traps and photographs in the Weddell Sea during POLARSTERN cruises ANT-I/2, ANT-II/4, ANT-III/3, ANT-V/3-4, ANT-VI/3 and ANT-VII/4 (2019)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2023-04-21
    Description: The dataset comprises a total of 336 records of abundance and biomass of two sea urchin species, Sterechinus antarcticus Koehler, 1901 and Sterechinus neumayeri (Meissner, 1900), from 67 trawls (Agassiz trawl, bottom trawl or dredge), 56 photo sessions (see doi link to photographs in dataset) and three other samples (multi-box corer, giant box corer, weir basket). The data were collected on the eastern and southern shelf and slope of the Antarctic Weddell Sea (depth range: 97 - 1243 m) during "Polarstern" cruises ANT I/2 (1983), ANT II/4 (1984), ANT III/3 (1985), ANT V/3 (1986), ANT V/4 (1987), ANT VI/3 (1988) and ANT VII/4 (1989).
    Keywords: Agassiz Trawl; AGT; ANT-I/2; ANT-II/4; ANT-III/3; ANT-V/3; ANT-V/4; ANT-VI/3; ANT-VII/4; Area; Bentho-pelagic trawl; Bottom trawl; BPT; BT; Campaign; Date; DEPTH, water; Dredge; DRG; Event label; FTS; Gear; Height; LATITUDE; Length; LONGITUDE; Mesh size; MG; MULT; Multiboxcorer; Multiple investigations; Number of photos; Photo sledge; Polarstern; Project; PS01; PS01/126; PS01/128; PS01/129; PS01/135; PS01/147; PS01/149; PS01/153; PS01/168; PS01/180; PS01/192; PS01/194; PS01/195; PS01/196; PS01/198; PS01/207; PS01/210; PS01/213; PS01/216; PS01/220; PS04; PS04/303; PS04/308; PS04/310; PS04/342; PS04/369; PS04/372; PS04/378; PS04/386; PS04/417; PS04/428; PS04/438; PS04/450; PS04/460; PS04/470; PS04/474; PS04/480; PS04/490; PS04/492; PS04/502; PS04/506; PS04/510; PS04/521; PS04/524; PS06/275; PS06/288; PS06/289; PS06/290; PS06/292; PS06/301; PS06/302; PS06/303; PS06/307; PS06/309; PS06/310; PS06/311; PS06/329; PS06/330; PS06/335; PS06/336; PS06/345; PS06/348; PS06/357; PS06/358; PS06 SIBEX; PS10; PS10/508-2; PS10/517-2; PS10/520-6; PS10/528-2; PS10/531-1; PS10/536-1; PS10/537-1; PS10/553-2; PS10/575-4; PS10/580-3; PS10/584-9; PS10/585-2; PS10/592-3; PS10/593-1; PS10/615-3; PS10/618-9; PS10/692; PS10/704; PS10/738; PS10 WWSP86; PS12; PS12/298; PS12/314; PS12/323; PS12/342; PS12/346; PS12/348-1; PS12/354; PS12/354-1; PS12/366; PS12/368; PS12/372; PS12/374; PS12/376; PS12/378; PS12/380; PS12/384; PS12/387; PS12/396; PS12/396-2; PS12/471-1; PS12/503; PS12/504; PS12/512; PS12/512-1; PS14/245; PS14/247-1; PS14/250; PS14/256; PS14/259; PS14/260; PS14/261; PS14/270; PS14/274; PS14/275; PS14/276; PS14/277; PS14/278; PS14/280; PS14/285; PS14/293; PS14/294; PS14/304; PS14/305; PS14/306; PS14/307; PS14 EPOS I; Sample ID; Ship speed; Station label; Sterechinus antarcticus; Sterechinus antarcticus, dry mass; Sterechinus neumayeri; Sterechinus neumayeri, dry mass; Sterechinus spp.; Trawling distance; Trawling time; Uniform resource locator/link to image; Weddell Sea; Width
    Type: Dataset
    Format: text/tab-separated-values, 1796 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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    Macrobenthic abundance, biomass, productivity and production in the deep Arctic ocean (2014)
    PANGAEA
    In:  Supplement to: Degen, Renate; Vedenin, Andrey; Gusky, Manuela; Boetius, Antje; Brey, Thomas (2015): Patterns and trends of macrobenthic abundance, biomass and production in the deep Arctic Ocean. Polar Research, 34(1), 24008, https://doi.org/10.3402/polar.v34.24008
    Details
    Publication Date: 2023-01-13
    Description: The few existing studies on macrobenthic communities of the deep Arctic Ocean report low standing stocks, and confirm a gradient with declining biomass from the slopes down to the basins as commonly reported for deep-sea benthos. In this study we have further investigated the relationship of faunal abundance (N), biomass (B) as well as community production (P) with water depth, geographical latitude and sea ice concentration. The underlying dataset combines legacy data from the past 20 years, as well as recent field studies selected according to standardized quality control procedures. Community P/B and production were estimated using the multi-parameter ANN model developed by Brey (2012). We could confirm the previously described negative relationship of water depth and macrofauna standing stock in the Arctic deep-sea. Furthermore, the sea-ice cover increasing with high latitudes, correlated with decreasing abundances of down to 〈 200 individuals/m**2, biomasses of 〈 65 mg C/m**2 and P of 〈 75 mg C/m**2/y. Stations under influence of the seasonal ice zone (SIZ) showed much higher standing stock and P means between 400 - 1400 mg C/m**2/y; even at depths up to 3700 m. We conclude that particle flux is the key factor structuring benthic communities in the deep Arctic ocean, explaining both the low values in the ice-covered Arctic basins and the high values along the SIZ.
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
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    Lead/Calcium profiles in the common time window 1770-2010 of the three Arctica islandica shells (2012)
    PANGAEA
    In:  Supplement to: Krause-Nehring, Jacqueline; Brey, Thomas; Thorrold, Simon R (2012): Centennial records of lead contamination in northern Atlantic bivalves (Arctica islandica). Marine Pollution Bulletin, 64(2), 233-240, https://doi.org/10.1016/j.marpolbul.2011.11.028
    Details
    Publication Date: 2023-01-13
    Description: In the study, we establish centennial records of anthropogenic lead pollution at different locations in the North Atlantic (Iceland, USA, and Europe) by means of lead deposited in shells of the long-lived bivalve Arctica islandica. Due to local oceanographic and geological conditions we conclude that the lead concentrations in the Icelandic shell reflect natural influxes of lead into Icelandic waters. In comparison, the lead profile of the US shell is clearly driven by anthropogenic lead emissions transported from the continent to the ocean by westerly surface winds. Lead concentrations in the European North Sea shell, in contrast, are dominantly driven by local lead sources resulting in a much less conspicuous 1970s gasoline lead peak. In conclusion, the lead profiles of the three shells are driven by different influxes of lead, and yet, all support the applicability of Pb/Ca analyses of A. islandica shells to reconstruct location specific anthropogenic lead pollution.
    Keywords: Grab; GRAB; HELG; ICEL; Iceland; off Helgoland, North Sea; VIRG; Virginia, USA
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 5
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    Global macrozoobenthos production and energy budget data base V150731, with link to database (2015)
    PANGAEA
    In:  Supplement to: Brey, Thomas (2012): A multi-parameter artificial neural network model to estimate macrobenthic invertebrate productivity and production. Limnology and Oceanography-Methods, 10, 581-589, https://doi.org/10.4319/lom.2012.10.581
    Details
    Publication Date: 2023-01-13
    Description: I developed a new model for estimating annual production-to-biomass ratio P/B and production P of macrobenthic populations in marine and freshwater habitats. Self-learning artificial neural networks (ANN) were used to model the relationships between P/B and twenty easy-to-measure abiotic and biotic parameters in 1252 data sets of population production. Based on log-transformed data, the final predictive model estimates log(P/B) with reasonable accuracy and precision (r2 = 0.801; residual mean square RMS = 0.083). Body mass and water temperature contributed most to the explanatory power of the model. However, as with all least squares models using nonlinearly transformed data, back-transformation to natural scale introduces a bias in the model predictions, i.e., an underestimation of P/B (and P). When estimating production of assemblages of populations by adding up population estimates, accuracy decreases but precision increases with the number of populations in the assemblage.
    Type: Dataset
    Format: application/zip, 187.7 kBytes
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    (Fig. 5.3) Profile of Lead/Calcium ratios of an Arctica islandica shell collected off the coast of Virginia, USA (2012)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Keywords: Age; AGE; Grab; GRAB; LA-ICP-MS Thermo Finnigan Element 2; Lead/Calcium ratio; Lead/Calcium ratio, standard deviation; Lead/Calcium ratio, standard error; VIRG; Virginia, USA
    Type: Dataset
    Format: text/tab-separated-values, 184 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 7
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    (Fig. 5.2) Profile of Lead/Calcium ratios of an Arctica islandica shell collected off the coast of Northeast Iceland (2012)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Keywords: Age; AGE; Grab; GRAB; ICEL; Iceland; LA-ICP-MS Thermo Finnigan Element 2; Lead/Calcium ratio; Lead/Calcium ratio, standard deviation; Lead/Calcium ratio, standard error
    Type: Dataset
    Format: text/tab-separated-values, 188 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 8
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    (Fig. 5.4) Profile of Lead/Calcium ratios of an Arctica islandica shell collected in the North Sea near Helgoland, Germany (2012)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Keywords: Age; AGE; Grab; GRAB; HELG; LA-ICP-MS Thermo Finnigan Element 2; Lead/Calcium ratio; Lead/Calcium ratio, standard deviation; Lead/Calcium ratio, standard error; off Helgoland, North Sea
    Type: Dataset
    Format: text/tab-separated-values, 152 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 9
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    Euphausiid respiration model revamped, link to model results (2014)
    PANGAEA
    In:  Supplement to: Tremblay, Nelly; Werner, Thorsten; Hünerlage, Kim; Buchholz, Friedrich; Abele, Doris; Meyer, Bettina; Brey, Thomas (2014): Euphausiid respiration model revamped: Latitudinal and seasonal shaping effects on krill respiration rates. Ecological Modelling, 291, 233-241, https://doi.org/10.1016/j.ecolmodel.2014.07.031
    Details
    Publication Date: 2023-02-16
    Description: Euphausiids constitute major biomass component in shelf ecosystems and play a fundamental role in the rapid vertical transport of carbon from the ocean surface to the deeper layers during their daily vertical migration (DVM). DVM depth and migration patterns depend on oceanographic conditions with respect to temperature, light and oxygen availability at depth, factors that are highly dependent on season in most marine regions. Changes in the abiotic conditions also shape Euphausiid metabolism including aerobic and anaerobic energy production. Here we introduce a global krill respiration model which includes the effect of latitude (LAT), the day of the year of interest (DoY), and the number of daylight hours on the day of interest (DLh), in addition to the basal variables that determine ectothermal oxygen consumption (temperature, body mass and depth) in the ANN model (Artificial Neural Networks). The newly implemented parameters link space and time in terms of season and photoperiod to krill respiration. The ANN model showed a better fit (r**2=0.780) when DLh and LAT were included, indicating a decrease in respiration with increasing LAT and decreasing DLh. We therefore propose DLh as a potential variable to consider when building physiological models for both hemispheres. We also tested for seasonality the standard respiration rate of the most common species that were investigated until now in a large range of DLh and DoY with Multiple Linear Regression (MLR) or General Additive model (GAM). GAM successfully integrated DLh (r**2= 0.563) and DoY (r**2= 0.572) effects on respiration rates of the Antarctic krill, Euphausia superba, yielding the minimum metabolic activity in mid-June and the maximum at the end of December. Neither the MLR nor the GAM approach worked for the North Pacific krill Euphausia pacifica, and MLR for the North Atlantic krill Meganyctiphanes norvegica remained inconclusive because of insufficient seasonal data coverage. We strongly encourage comparative respiration measurements of worldwide Euphausiid key species at different seasons to improve accuracy in ecosystem modelling.
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 350.8 kBytes
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 10
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    Abundance, biomass and secondary production of benthic megafauna on the Barents Sea shelf in 2008 and 2009 (2016)
    PANGAEA
    In:  Supplement to: Degen, Renate; Jørgensen, Lis Lindal; Ljubin, Pavel; Ellingsen, Ingrid H; Pehlke, Hendrik; Brey, Thomas (2016): Patterns and drivers of megabenthic secondary production on the Barents Sea shelf. Marine Ecology Progress Series, 546, 1-16, https://doi.org/10.3354/meps11662
    Details
    Publication Date: 2023-03-02
    Description: Megabenthos plays a major role in the overall energy flow on Arctic shelves, but information on megabenthic secondary production on large spatial scales is scarce. Here, we estimated for the first time megabenthic secondary production for the entire Barents Sea shelf by applying a species-based empirical model to an extensive dataset from the joint Norwegian- Russian ecosystem survey. Spatial patterns and relationships were analyzed within a GIS. The environmental drivers behind the observed production pattern were identified by applying an ordinary least squares regression model. Geographically weighted regression (GWR) was used to examine the varying relationship of secondary production and the environment on a shelfwide scale. Significantly higher megabenthic secondary production was found in the northeastern, seasonally ice-covered regions of the Barents Sea than in the permanently ice-free southwest. The environmental parameters that significantly relate to the observed pattern are bottom temperature and salinity, sea ice cover, new primary production, trawling pressure, and bottom current speed. The GWR proved to be a versatile tool for analyzing the regionally varying relationships of benthic secondary production and its environmental drivers (R² = 0.73). The observed pattern indicates tight pelagic- benthic coupling in the realm of the productive marginal ice zone. Ongoing decrease of winter sea ice extent and the associated poleward movement of the seasonal ice edge point towards a distinct decline of benthic secondary production in the northeastern Barents Sea in the future.
    Keywords: 2008-GS-140; 2008-GS-144; 2008-GS-147; 2008-GS-151; 2008-GS-152; 2008-GS-175; 2008-GS-178; 2008-GS-183; 2008-GS-186; 2008-GS-190; 2008-GS-193; 2008-GS-194; 2008-GS-196; 2008-GS-199; 2008-GS-200; 2008-GS-260; 2008-GS-285; 2008-GS-286; 2008-GS-311; 2008-GS-312; 2008-GS-313; 2008-GS-314; 2008-GS-315; 2008-GS-318; 2008-GS-319; 2008-GS-320; 2008-GS-321; 2008-GS-322; 2008-GS-323; 2008-GS-324; 2008-GS-325; 2008-GS-326; 2008-GS-327; 2008-GS-328; 2008-GS-329; 2008-GS-330; 2008-GS-331; 2008-GS-332; 2008-GS-333; 2008-GS-334; 2008-GS-335; 2008-GS-336; 2008-JH-322; 2008-JH-323; 2008-JH-324; 2008-JH-325; 2008-JH-326; 2008-JH-327; 2008-JH-328; 2008-JH-383; 2008-JH-386; 2008-JH-391; 2008-JH-393; 2008-JH-394; 2008-JH-398; 2008-JH-401; 2008-JH-402; 2008-JH-403; 2008-JH-410; 2008-JH-411; 2008-JH-414; 2008-JH-418; 2008-VY-003; 2008-VY-006; 2008-VY-008; 2008-VY-010; 2008-VY-012; 2008-VY-014; 2008-VY-016; 2008-VY-018; 2008-VY-020; 2008-VY-022; 2008-VY-024; 2008-VY-026; 2008-VY-028; 2008-VY-033; 2008-VY-035; 2008-VY-037; 2008-VY-039; 2008-VY-041; 2008-VY-043; 2008-VY-045; 2008-VY-047; 2008-VY-049; 2008-VY-051; 2008-VY-053; 2008-VY-055; 2008-VY-057; 2008-VY-059; 2008-VY-061; 2008-VY-063; 2008-VY-065; 2008-VY-067; 2008-VY-069; 2008-VY-071; 2008-VY-073; 2008-VY-075; 2008-VY-076; 2008-VY-077; 2008-VY-078; 2008-VY-079; 2008-VY-081; 2008-VY-082; 2008-VY-083; 2008-VY-085; 2008-VY-087; 2008-VY-089; 2008-VY-091; 2008-VY-093; 2008-VY-095; 2008-VY-097; 2008-VY-099; 2008-VY-101; 2008-VY-103; 2008-VY-105; 2008-VY-107; 2008-VY-109; 2008-VY-111; 2008-VY-113; 2008-VY-114; 2008-VY-116; 2008-VY-118; 2008-VY-120; 2008-VY-123; 2008-VY-126; 2008-VY-128; 2008-VY-130; 2008-VY-132; 2008-VY-134; 2008-VY-136; 2008-VY-138; 2008-VY-140; 2008-VY-142; 2008-VY-144; 2008-VY-146; 2008-VY-148; 2008-VY-153; 2008-VY-155; 2008-VY-157; 2008-VY-158; 2008-VY-160; 2008-VY-162; 2008-VY-164; 2008-VY-166; 2008-VY-168; 2008-VY-170; 2008-VY-172; 2008-VY-174; 2008-VY-176; 2008-VY-178; 2008-VY-180; 2008-VY-182; 2008-VY-184; 2008-VY-186; 2008-VY-188; 2008-VY-190; 2008-VY-192; 2008-VY-194; 2008-VY-196; 2008-VY-198; 2008-VY-200; 2008-VY-202; 2008-VY-204; 2008-VY-206; 2008-VY-208; 2008-VY-210; 2008-VY-212; 2008-VY-214; 2008-VY-216; 2008-VY-218; 2008-VY-220; 2008-VY-222; 2008-VY-224; 2008-VY-226; 2008-VY-228; 2008-VY-229; 2008-VY-232; 2008-VY-234; 2008-VY-236; 2008-VY-238; 2008-VY-240; 2008-VY-243; 2008-VY-244; 2008-VY-245; 2008-VY-246; 2008-VY-248; 2008-VY-251; 2008-VY-253; 2008-VY-254; 2008-VY-255; 2008-VY-256; 2008-VY-257; 2008-VY-258; 2008-VY-259; 2008-VY-260; 2008-VY-261; 2008-VY-262; 2008-VY-264; 2008-VY-265; 2008-VY-267; 2008-VY-268; 2008-VY-269; 2008-VY-271; 2008-VY-272; 2008-VY-273; 2008-VY-275; 2008-VY-277; 2008-VY-278; 2008-VY-279; 2008-VY-280; 2008-VY-281; 2008-VY-282; 2008-VY-283; 2008-VY-284; 2008-VY-285; 2008-VY-288; 2008-VY-290; 2008-VY-291; 2008-VY-292; 2008-VY-293; 2008-VY-294; 2008-VY-296; 2009-GS-142; 2009-GS-143; 2009-GS-146; 2009-GS-154; 2009-GS-155; 2009-GS-158; 2009-GS-159; 2009-GS-162; 2009-GS-163; 2009-GS-166; 2009-GS-167; 2009-GS-170; 2009-GS-171; 2009-GS-174; 2009-GS-175; 2009-GS-178; 2009-GS-179; 2009-GS-182; 2009-GS-184; 2009-GS-187; 2009-GS-188; 2009-GS-191; 2009-GS-192; 2009-GS-195; 2009-GS-196; 2009-GS-203; 2009-GS-204; 2009-GS-207; 2009-GS-208; 2009-GS-211; 2009-JH-282; 2009-JH-284; 2009-JH-286; 2009-JH-288; 2009-JH-290; 2009-JH-292; 2009-JH-294; 2009-JH-296; 2009-JH-298; 2009-JH-305; 2009-JH-307; 2009-JH-311; 2009-JH-313; 2009-JH-318; 2009-JH-325; 2009-JH-327; 2009-JH-333; 2009-JH-335; 2009-JH-337; 2009-JH-339; 2009-JH-341; 2009-JH-345; 2009-JH-347; 2009-JH-350; 2009-JH-353; 2009-JH-356; 2009-JH-362; 2009-JH-365; 2009-JH-368; 2009-JH-371; 2009-JH-373; 2009-JH-375; 2009-JH-377; 2009-JH-379; 2009-JH-383; 2009-JH-385; 2009-JH-390; 2009-JH-392; 2009-JH-395; 2009-JH-398; 2009-JH-400; 2009-JH-403; 2009-JH-405; 2009-JH-407; 2009-JH-410; 2009-JH-412; 2009-JH-417; 2009-JH-422; 2009-JH-424; 2009-JH-427; 2009-JH-429; 2009-JH-431; 2009-JH-433; 2009-JH-436; 2009-JH-438; 2009-JH-442; 2009-JH-445; 2009-JH-447; 2009-JH-449; 2009-JH-452; 2009-JH-454; 2009-JH-456; 2009-JH-461; 2009-JH-463; 2009-JH-465; 2009-JH-468; 2009-JH-470; 2009-JH-472; 2009-JH-475; 2009-JH-478; 2009-JH-480; 2009-JH-482; 2009-JH-484; 2009-JH-486; 2009-JH-488; 2009-JH-490; 2009-JH-492; 2009-JH-494; 2009-JH-496; 2009-JH-497; 2009-JH-500; 2009-JH-502; 2009-JH-504; 2009-JH-506; 2009-JM-491; 2009-JM-495; 2009-JM-497; 2009-JM-499; 2009-JM-506; 2009-JM-509; 2009-JM-519; 2009-JM-522; 2009-JM-527; 2009-JM-528; 2009-JM-532; 2009-JM-541; 2009-JM-543; 2009-JM-544; 2009-JM-549; 2009-JM-550; 2009-JM-555; 2009-JM-557; 2009-JM-559; 2009-JM-560; 2009-JM-561; 2009-JM-563; 2009-JM-565; 2009-JM-566; 2009-JM-568; 2009-JM-572; 2009-JM-574; 2009-JM-578; 2009-JM-582; 2009-JM-586; 2009-JM-587; 2009-JM-590; 2009-JM-592; 2009-JM-595; 2009-JM-599; 2009-JM-602; 2009-JM-604; 2009-JM-607; 2009-JM-609; 2009-JM-611; 2009-JM-613; 2009-JM-615; 2009-JM-617; 2009-VY-01; 2009-VY-02; 2009-VY-03; 2009-VY-04; 2009-VY-05; 2009-VY-06; 2009-VY-07; 2009-VY-08; 2009-VY-09; 2009-VY-10; 2009-VY-11; 2009-VY-12; 2009-VY-13; 2009-VY-14; 2009-VY-15; 2009-VY-16; 2009-VY-18; 2009-VY-19; 2009-VY-20; 58GS2008; 58GS2009; 58JH2008; 58JH2009; 58JM2009; 90VY2008; 90VY2009; Arctic Ocean; Barents Sea; Basis of event; Campaign of event; Date/Time of event; Event label; G. O. Sars (2003); Jan Mayen; Johan Hjort (1990); Kara Sea; Latitude of event; Location of event; Longitude of event; North Greenland Sea; Norwegian Sea; Secondary production as carbon; Vilnyus
    Type: Dataset
    Format: text/tab-separated-values, 398 data points
    Location Call Number Limitation Availability
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