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  • PANGAEA  (5)
  • Canadian Science Publishing  (1)
  • 2020-2024  (6)
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  • 1
    Publication Date: 2023-07-10
    Description: These data represent the results of a long-term colonization experiment at the Long-Term Ecological Research observatory HAUSGARTEN. Recruitment panels were constructed from plastic and brick and deployed attached to a metal frame in 1999 at the station HG-IV (Arctic Ocean, 79 N, 04 E, 2500 m depth). The experiment was recovered in 2017. Following recovery, all invertebrates and foraminiferans on the panels were counted using a dissecting microscope on board R/V Polarstern and then saved in 95% ethanol. Species were identified by reference to published literature and taxonomic experts. Species richness was low compared to surrounding hard-bottom communities, indicating that Arctic benthic communities may take decades to develop.
    Keywords: Amphianthus sp.; Angle; ARK-XV/1; ARK-XXXI/3; Bathycrinus carpenterii; Bathyphellia margaritacea; Bivalvia; Cibicides sp.; Cibicidoides wuellerstorfi; Cladorhiza; Encrusting, large-grain tube; Foraminifera, benthic agglutinated; Foraminifera, benthic indeterminata; Gersemia rubiformis; Halisiphonia arctica, cover; Hausgarten; HG-IV_colonization_frame; invertebrate; Long-term Investigation at AWI-Hausgarten off Svalbard; Material; MF; Multi frame; North Greenland Sea; Number of individuals; Phakellia sp.; Plate; Polarstern; Porifera indeterminata; Position; PS108; PS108_30-1; PS108_30-1, PS55/001-1; PS55; PS55/001-1; recruitment; Remote operated vehicle; ROV; Serpulidae; Shannon Diversity Index; Simpson index of diversity; Species richness; Spirorbidae; Thenea abyssorum; Unknown; VICTOR; Victor6000 ROV; Worm tubes
    Type: Dataset
    Format: text/tab-separated-values, 957 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-02-02
    Description: The deep sea is considered a major sink for debris even in regions as secluded as the Arctic Ocean. Here, we assess the variability of litter over a latitudinal gradient at the HAUSGARTEN observatory by adding imagery from the southernmost station S3 to previously published data from the northernmost station N3 and the central station HG-IV. The analysis includes footage of the seafloor from 2002 to 2017. Photographic surveys were analyzed to determine litter density, material composition, size and interactions with epibenthic fauna. Litter density clearly increased over time ranging between 813 ± 525 (SEM) and 6,717 ± 2,044 (SEM) items km-². The dominant material was plastic and small-sized items accounted for 63% of the litter in the observatory. N3 experienced the strongest increase in litter dominated by dark pieces of glass (41%). Interactions between litter and epibenthic megafauna were frequently observed (45% of items) in the form of entanglement with sponges or colonization by sea anemones.
    Keywords: Area; ARK-XVIII/1; ARK-XX/1; ARK-XXII/1c; ARK-XXIX/2.2; ARK-XXVI/2; ARK-XXVII/2; ARK-XXVIII/2; ARK-XXX/1.2; ARK-XXXI/2; Calculated; deep seafloor; Event label; Fauna interaction with litter; Hausgarten; HAUSGARTEN 2013; HG_IV; Image number/name; Interaction, megafauna; Interaction with litter, Actinia indeterminata; Interaction with litter, Actiniaria; Interaction with litter, Bathycrinus carpenterii; Interaction with litter, Bathyphellia margaritacea; Interaction with litter, Birsteiniamysis inermis; Interaction with litter, Bythocaris sp.; Interaction with litter, Caulophacus arcticus; Interaction with litter, Caulophacus debris; Interaction with litter, cf. Pachastrellidae; Interaction with litter, Cladorhiza gelida; Interaction with litter, Gersemia fruticosa; Interaction with litter, Holothuridae; Interaction with litter, Hormathiidae; Interaction with litter, Verum striolatum; Maria S. Merian; marine litter; Marine litter; Marine litter, fabric; Marine litter, food waste; Marine litter, glass; Marine litter, large items; Marine litter, medium items; Marine litter, metal; Marine litter, paper; Marine litter, plastic; Marine litter, plastic, fisheries; Marine litter, pottery; Marine litter, rope; Marine litter, rubber; Marine litter, small items; Marine litter, styrofoam; Marine litter, timber; Marine litter, unidentified; MSM29; MSM29_440-1; MSM29_445-1; N_3; N3; North Greenland Sea; Ocean Floor Observation System; OFOS; OFOS photographic survey with BIIGLE analysis; Persistent Identifier; plastic; Polarstern; PS107; PS107_2-20; PS107_36-6; PS107_6-12; PS62; PS62/161-3; PS66; PS66/106-1; PS66/120-1; PS66/127-4; PS70; PS70/164-1; PS70/170-1; PS70/202-1; PS78; PS78/143-2; PS78/171-1; PS78/182-1; PS80; PS80/176-1; PS80/179-3; PS80/193-1; PS85; PS85/461-1; PS85/474-1; PS93/048-8; PS93/050-11; PS93/062-1; PS93.2; PS99/041-11; PS99/042-10; PS99/056-1; PS99.2; S_3; S3; Station label; Type of interaction with litter, Actinia indeterminata; Type of interaction with litter, Actiniaria; Type of interaction with litter, Bathycrinus carpenterii; Type of interaction with litter, Bathyphellia margaritacea; Type of interaction with litter, Birsteiniamysis inermis; Type of interaction with litter, Bythocaris sp.; Type of interaction with litter, Caulophacus arcticus; Type of interaction with litter, Caulophacus debris; Type of interaction with litter, cf. Pachastrellidae; Type of interaction with litter, Cladorhiza gelida; Type of interaction with litter, Gersemia fruticosa; Type of interaction with litter, Holothuridae; Type of interaction with litter, Hormathiidae; Type of interaction with litter, Verum striolatum; Uniform resource locator/link to image; Year of imagery
    Type: Dataset
    Format: text/tab-separated-values, 889003 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-06-12
    Description: This dataset presents microplastics in water samples collected from the underway system and CTD alongside the August 2019 zooplankton samples presented in https://doi.pangaea.de/10.1594/PANGAEA.950296. These samples were initially digested using a homogenising solution and then filtered in preparation for Fourier Transform Infrared spectroscopy (FTIR) analysis in combination with an automated polymer identification approach (SIMPLE software) to identify polymer types, shape and size. Microplastics were also visualised using a microscope to further determine shape and size, particularly of fibres. Data collected on the microplastics found includes; polymer type, shape, size, species ingestion and location.
    Keywords: Amphipoda; Arctic; Bioavailability; BONGO; Bongo net; copepod; DEPTH, water; Event label; Fourier Transform Infrared spectroscopy (FTIR) in combination with automated polymer identification [SIMPLE software]; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; FTIR SIMPLE software; James Clark Ross; JR18007; JR18007_11; JR18007_57; JR18007_60; JR18007_75; JR18007_97; LATITUDE; Length, maximal; LONGITUDE; marine litter; microplastic ingestion; Microplastics; MSN150; Multiple opening/closing net, 150 µm meshsize; Plastic pollution; Polymer; Quality level; Size fraction; Type
    Type: Dataset
    Format: text/tab-separated-values, 368 data points
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2024-06-12
    Description: To investigate scavenging communities associated with carcasses of animals from the water column, we performed experimental food fall studies. We deployed baited camera landers with squid (Loligo vulgaris) and jellyfish (Periphylla periphylla) for 13-35 hours at ~2500 m depth in the Fram Strait at the deep sea Long Term Observatory HAUSGARTEN. The dataset includes all raw count data of scavengers on the food falls sorted by taxon based on image analysis annotation in BIIGLE. Scavengers included Eurythenes gryllus , Scopelocheirus and stegocephalid amphipods, various crustaceans and the gastropod Mohnia.
    Keywords: Amphipoda; Arctic; B_LANDER; baited camera traps; benthic community; Birsteiniamysis inermis; Bottom lander; Bythocaris spp.; carrion; cf. Stegocephalidae spp.; Chaetognatha; Copepoda; DATE/TIME; Deep sea; Deployment number; DEPTH, water; EG4; Elapsed time; Elpidia heckeri; Event label; File name; Gastropoda; Halirages cainae; HAUSGARTEN Long Term Observatory; HG4; Indeterminata; LATITUDE; LONGITUDE; Lycodes frigidus; Lycodes sp., juvenile; Lysianassidae sp.; Mohnia sp.; Munnopsidae; Mysida; N4; Neohela lamia; North Greenland Sea; Parasites, on fish; Parasites, on shrimp; Polarstern; PS121; PS121_11-10; PS121_30-5; PS121_41-5; PS121_43-5; PS121_7-1; Saduria megalura; scavenging; Shrimps; Specimen count; Station label; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 61623 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2024-06-12
    Description: Zooplankton (amphipod and copepod) were collected using nets in the Fram Strait and the Arctic, in July 2018 and August 2019 for microplastic analysis. Water samples were also collected from the underway system and CTD alongside the August 2019 zooplankton samples (https://doi.pangaea.de/10.1594/PANGAEA.950239). All samples were initially digested using a homogenising solution and then filtered in preparation for Fourier Transform Infrared spectroscopy (FTIR) analysis in combination with an automated polymer identification approach (SIMPLE software) to identify polymer types, shape and size. Microplastics were also visualised using a microscope to further determine shape and size, particularly of fibres. Data collected on the microplastics found includes polymer type, shape, size, species ingestion and location.
    Keywords: Amphipoda; Arctic; Bioavailability; BONGO; Bongo net; copepod; CTD/Rosette; CTD-RO; Depth, bottom/max; Depth, top/min; Event label; Fourier Transform Infrared spectroscopy (FTIR) in combination with automated polymer identification [SIMPLE software]; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; FTIR SIMPLE software; James Clark Ross; JR18007; JR18007_11; JR18007_130; JR18007_57; JR18007_97; LATITUDE; Length, maximal; Light frame on-sight keyspecies investigation; LOKI; LONGITUDE; marine litter; microplastic ingestion; Microplastics; MSN; MSN150; Multiple opening/closing net; Multiple opening/closing net, 150 µm meshsize; Number of individuals; PARCA; Particle camera; Plastic pollution; Polarstern; Polymer; PS114; PS114_4-1; PS114_4-2; PS114_4-5; PS114_4-6; PS114_46-7; PS114_46-8; PS114_4-7; PS114_4-8; PS114_4-9; PS114_9-3; PS114_9-4; PS114_9-5; Quality level; Sample ID; Size fraction; Species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Type
    Type: Dataset
    Format: text/tab-separated-values, 704 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2023-06-21
    Description: Litter and microplastic assessments are being carried out worldwide. Arctic ecosystems are no exception and plastic pollution is high on the Arctic Council’s agenda. Water and sediment have been identified as two of the priority compartments for monitoring plastics under the Arctic Monitoring and Assessment Programme (AMAP). Recommendations for monitoring both compartments are presented in this publication. Alone, such samples can provide information on presence, fate, and potential impacts to ecosystems. Together, the quantification of microplastics in sediment and water from the same region produce a three-dimensional picture of plastics, not only a snapshot of floating or buoyant plastics in the surface water or water column but also a picture of the plastics reaching the shoreline or benthic sediments, in lakes, rivers, and the ocean. Assessment methodologies must be adapted to the ecosystems of interest to generate reliable data. In its current form, published data on plastic pollution in the Arctic is sporadic and collected using a wide spectrum of methods which limits the extent to which data can be compared. A harmonised and coordinated effort is needed to gather data on plastic pollution for the Pan-Arctic. Such information will aid in identifying priority regions and focusing mitigation efforts.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Location Call Number Limitation Availability
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