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  • PANGAEA  (88)
  • American Chemical Society  (1)
  • 2015-2019  (89)
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  • 1
    Publication Date: 2017-09-11
    Print ISSN: 0013-936X
    Electronic ISSN: 1520-5851
    Topics: Chemistry and Pharmacology , Energy, Environment Protection, Nuclear Power Engineering
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  • 2
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    PANGAEA
    In:  Supplement to: Bergmann, Melanie; Lutz, Birgit; Tekman, Mine Banu; Gutow, Lars (2017): Citizen scientists reveal: Marine litter pollutes Arctic beaches and affects wild life. Marine Pollution Bulletin, 125(1-2), 535-540, https://doi.org/10.1016/j.marpolbul.2017.09.055
    Publication Date: 2023-03-16
    Description: Beaches on remote Arctic islands may be sinks for marine litter and reflect pollution levels of the surrounding waters particularly well. We provide the first quantitative data from surveys carried out by citizen scientists on six beaches of northern Svalbard. Litter quantities recorded by cruise tourists varied from 9-524 g m-2 and were similar to those from densely populated areas. Plastics accounted for 〉80% of the overall litter, most of which originated from fisheries. Our study highlights the potential of citizen scientists to provide scientifically valuable data on the pollution of sensitive remote ecosystems. The results stress once more that current legislative frameworks are insufficient to tackle the pollution of Arctic ecosystems.
    Keywords: Alpinioya; Area; Brucebukta; Crozierpynten; DATE/TIME; Event label; FRAM; FRontiers in Arctic marine Monitoring; HAND; Isflakbukta; Latitude of event; Longitude of event; Marine litter, biotic; Marine litter, fabric; Marine litter, glass; Marine litter, metal; Marine litter, plastic; Marine litter, total; Method comment; Reinstrandodden; Sampling by hand; Sediment type; Sorvika; Svalbard
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 3
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    PANGAEA
    In:  Supplement to: Bergmann, Melanie; Wirzberger, Vanessa; Krumpen, Thomas; Lorenz, Claudia; Primpke, Sebastian; Tekman, Mine Banu; Gerdts, Gunnar (2017): High Quantities of Microplastic in Arctic Deep-Sea Sediments from the HAUSGARTEN Observatory. Environmental Science & Technology, 51(19), 11000-11010, https://doi.org/10.1021/acs.est.7b03331
    Publication Date: 2023-01-13
    Description: Although mounting evidence suggests the ubiquity of microplastic in aquatic ecosystems worldwide, our knowledge of its distribution in remote environments such as Polar Regions and the deep sea is scarce. Here, we analyzed nine sediment samples taken at the HAUSGARTEN observatory in the Arctic at 2,340 - 5,570 m depth. Density separation by MicroPlastic Sediment Separator and treatment with Fenton's reagent enabled analysis via Attenuated Total Reflection FTIR and µFTIR spectroscopy. Our analyses indicate the wide spread of high numbers of microplastics (42 - 6,595 microplastics/kg). The northernmost stations harbored the highest quantities, indicating sea ice as a transport vehicle. A positive correlation between microplastic abundance and chlorophyll a content suggests vertical export via incorporation in sinking (ice-) algal aggregates. Overall, 18 different polymers were detected. Chlorinated polyethylene accounted for the largest proportion (38 %), followed by polyamide (22 %) and polypropylene (16 %). Almost 80 % of the microplastics were 〈25 µm. The microplastic quantities are amongst the highest recorded from benthic sediments, which corroborates the deep sea as a major sink for microplastics and the presence of accumulation areas in this remote part of the world, fed by plastics transported to the North via the Thermohaline Circulation.
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 4
    Publication Date: 2023-07-15
    Keywords: Arctic; DATE/TIME; Ice coverage; Ice coverage, standard deviation; Ice coverage, yes=1/no=0; pan-Arctic
    Type: Dataset
    Format: text/tab-separated-values, 3650 data points
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  • 5
    Publication Date: 2023-07-15
    Keywords: DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Hausgarten; Ice coverage; Long-term Investigation at AWI-Hausgarten off Svalbard; MULT; Multiple investigations; N3
    Type: Dataset
    Format: text/tab-separated-values, 5112 data points
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  • 6
    Publication Date: 2023-07-15
    Keywords: Carbon, organic, particulate; Carbon, organic, particulate, standard deviation; Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, standard deviation; DATE/TIME; DEPTH, sediment/rock; FRAM; FRontiers in Arctic marine Monitoring; Hausgarten; Long-term Investigation at AWI-Hausgarten off Svalbard; MULT; Multiple investigations; N3; Phaeopigments; Phaeopigments, standard deviation; Phospholipids; Phospholipids, standard deviation; Proteins, readily soluble per sediment volume; Proteins, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 156 data points
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  • 7
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    PANGAEA
    In:  Supplement to: Taylor, James; Krumpen, Thomas; Soltwedel, Thomas; Gutt, Julian; Bergmann, Melanie (2017): Dynamic benthic megafaunal communities: assessing temporal variations in structure, composition and diversity at the Arctic deep-sea observatory HAUSGARTEN between 2004 and 2015. Deep Sea Research Part I: Oceanographic Research Papers, 122, 81-94, https://doi.org/10.1016/j.dsr.2017.02.008
    Publication Date: 2023-07-15
    Description: The Long-Term Ecological Research (LTER) observatory HAUSGARTEN, in the eastern Fram Strait, provides us the valuable ability to study the composition of benthic megafaunal communities through the analysis of seafloor photographs. This, in combination with extensive sampling campaigns, which have yielded a unique data set on faunal, bacterial, biogeochemical and geological properties, as well as on hydrography and sedimentation patterns, allows us to address the question of why variations in megafaunal community structure and species distribution exist within regional (60-110 km) and local (〈4 km) scales. Here, we present first results from the latitudinal HAUSGARTEN gradient, consisting of three different stations (N3, HG-IV, S3) between 78°30'N and 79°45'N (2351 - 2788 m depth), obtained via the analysis of images acquired by a towed camera (OFOS - Ocean Floor Observation System) in 2011. We assess variability in megafaunal densities, species composition and diversity as well as biotic and biogenic habitat features, which may cause the patterns observed. While there were significant regional-scale differences in megafaunal composition and densities between the stations (N3 = 26.74 ±0.63; HG-IV = 11.21 ±0.25; S3 = 18.34 ±0.39 individuals m-2), significant local differences were only found at HG-IV. Regional-scale variations may be due to the significant differences in ice coverage at each station as well as the different quantities of protein available, whereas local-scale differences at HG-IV may be a result of variation in bottom topography or factors not yet identified.
    Keywords: FRAM; FRontiers in Arctic marine Monitoring; Hausgarten; Long-term Investigation at AWI-Hausgarten off Svalbard
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 8
    Publication Date: 2023-07-15
    Keywords: DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Hausgarten; Ice coverage; Long-term Investigation at AWI-Hausgarten off Svalbard; MULT; Multiple investigations; S3
    Type: Dataset
    Format: text/tab-separated-values, 4991 data points
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  • 9
    Publication Date: 2023-07-15
    Keywords: Carbon, organic, particulate; Carbon, organic, particulate, standard deviation; Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chlorophyll pigment equivalents, standard deviation; DATE/TIME; DEPTH, sediment/rock; FRAM; FRontiers in Arctic marine Monitoring; Hausgarten; Long-term Investigation at AWI-Hausgarten off Svalbard; MULT; Multiple investigations; Phaeopigments; Phaeopigments, standard deviation; Phospholipids; Phospholipids, standard deviation; Proteins, readily soluble per sediment volume; Proteins, standard deviation; S3
    Type: Dataset
    Format: text/tab-separated-values, 156 data points
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  • 10
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    PANGAEA
    In:  Supplement to: Taylor, James; Krumpen, Thomas; Soltwedel, Thomas; Gutt, Julian; Bergmann, Melanie (2016): Regional- and local-scale variations in benthic megafaunal composition at the Arctic deep-sea observatory HAUSGARTEN. Deep Sea Research Part I: Oceanographic Research Papers, 108, 58-72, https://doi.org/10.1016/j.dsr.2015.12.009
    Publication Date: 2024-01-25
    Description: The Long-Term Ecological Research (LTER) observatory HAUSGARTEN, in the eastern Fram Strait, provides us the valuable ability to study the composition of benthic megafaunal communities through the analysis of seafloor photographs. This, in combination with extensive sampling campaigns, which have yielded a unique data set on faunal, bacterial, biogeochemical and geological properties, as well as on hydrography and sedimentation patterns, allows us to address the question of why variations in megafaunal community structure and species distribution exist within regional (60-110 km) and local (〈4 km) scales. Here, we present first results from the latitudinal HAUSGARTEN gradient, consisting of three different stations (N3, HG-IV, S3) between 78°30'N and 79°45'N (2351 - 2788 m depth), obtained via the analysis of images acquired by a towed camera (OFOS - Ocean Floor Observation System) in 2011. We assess variability in megafaunal densities, species composition and diversity as well as biotic and biogenic habitat features, which may cause the patterns observed. While there were significant regional-scale differences in megafaunal composition and densities between the stations (N3 = 26.74 ± 0.63; HG-IV = 11.21 ± 0.25; S3 = 18.34 ± 0.39 individuals/m**2), significant local differences were only found at HG-IV. Regional-scale variations may be due to the significant differences in ice coverage at each station as well as the different quantities of protein available, whereas local-scale differences at HG-IV may be a result of variation in bottom topography or factors not yet identified.
    Keywords: Hausgarten; Long-term Investigation at AWI-Hausgarten off Svalbard; LTER_Benthos; Macrobenthic long-term series in the German Bight
    Type: Dataset
    Format: application/zip, 13 datasets
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