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  • 1
    Online-Ressource
    Online-Ressource
    [Bremerhaven] : [Thünen-Institut für Fischereiökologie]
    Schlagwort(e): Forschungsbericht
    Materialart: Online-Ressource
    Seiten: 1 Online-Ressource (20 Seiten, 458,12 KB) , Illustrationen, Diagramme
    Sprache: Deutsch
    Anmerkung: Förderkennzeichen BMEL 2819108816 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    Publikationsdatum: 2024-02-02
    Beschreibung: The dataset below provides information about the microplastic contamination in the Kuril Kamchatka Trench in the NW Pacific Ocean. The samples were collected in summer 2016 during the Kurambio II expedition with RV Sonne. Each sample represents the first 5 cm of the sediment and the above sediment-water interface. The data table depicts the results of the analysis carried out on 8 Sediment samples, collected with a Multicorer (OKTOPUS GmbH, Kiel, Germany). The samples represent the first five cm of the deep seafloor at four sampling stations of the Kuril Kamchatka trench.
    Schlagwort(e): Acrylonitrile butadiene; DATE/TIME; Deep-sea sediment; DEPTH, sediment/rock; Dry mass; ELEVATION; Ethylene-vinyl acetate; Event label; Fourier transform infrared spectroscopy (FTIR); FTIR spectroscopy; KuramBio II; LATITUDE; LONGITUDE; Microplastic; Microplastic abundance; MUC; MultiCorer; Nitrile rubber; North Pacific Ocean; Polyamide; Polycaprolactone; Polycarbonate; Polyester; Polyethylene; Polyethylene chlorinated; Polymer types per mass; Polypropylene; Polystyrene; Polyurethane; Polyvinyl chloride; Rubber; Sample ID; SiMPle; SO250; SO250_15-1; SO250_16-1; SO250_26-1; SO250_27-1; SO250_38-1; SO250_39-1; SO250_4-1; SO250_5-1; Sonne_2
    Materialart: Dataset
    Format: text/tab-separated-values, 152 data points
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  • 3
    Publikationsdatum: 2024-02-02
    Beschreibung: This data table provided information about the microplastic identification analysis carried out on the samples listed in the data set doi:10.1594/PANGAEA.928575. To guarantee a precise quantification of particles, the sample were analysed entirely by µFT-IR. This procedure requires an aliquoting of the samples in subsamples. The number and the volume of subsamples, in the table depict as % aliquot, were established after calculating the number of particles present in each sample, to avoid an overload of the filter necessary to carry out the spectroscopic measurement. By summing the outcomes of the aliquots of a sample, the total number of MP and polymer type per sample was established.
    Schlagwort(e): Acrylonitrile butadiene; DATE/TIME; Deep-sea sediment; DEPTH, sediment/rock; ELEVATION; Ethylene-vinyl acetate; Event label; Fourier transform infrared spectroscopy (FTIR); FTIR spectroscopy; KuramBio II; LATITUDE; LONGITUDE; Microplastic; Microplastic abundance; MUC; MultiCorer; Nitrile rubber; North Pacific Ocean; Polyamide; Polycaprolactone; Polycarbonate; Polyester; Polyethylene; Polyethylene chlorinated; Polymer types per mass; Polypropylene; Polystyrene; Polyurethane; Polyvinyl chloride; Rubber; Sample aliquot; Sample ID; SiMPle; SO250; SO250_15-1; SO250_16-1; SO250_26-1; SO250_27-1; SO250_38-1; SO250_39-1; SO250_4-1; SO250_5-1; Sonne_2
    Materialart: Dataset
    Format: text/tab-separated-values, 551 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 4
    Publikationsdatum: 2024-03-14
    Beschreibung: Marine litter at the seafloor comprises different materials. Plastic is the most frequent material of marine litter found at the seafloor of the Baltic Sea (55,6%). "Abandoned, lost, discarded or otherwise lost fishing gear" (ALDFG) is a subgroup of plastic litter with special importance for environmental assessment because it has a defined source and may pose a health risk to animals. With the data provided, marine litter at the seafloor of the Baltic Sea was quantified and characterized with special regard to fishery as source. 72 litter items (LI) were collected within fishery catches by bottom trawling during three cruises in 2020 and 2021. The data were used to quantify litter at the seafloor of the Baltic Sea (9.2 LI/km²) including 2.2 LI/km² ALDFG and 0.4 LI/km² fishery nets. We conclude that fishery is an important source of litter and ALDFG represent a considerable share of marine litter with 22.2%.
    Schlagwort(e): ALDFG_QNT_20200822_B01_1; ALDFG_QNT_20200822_B01_2; ALDFG_QNT_20200823_B01_3; ALDFG_QNT_20200823_B01_4; ALDFG_QNT_20200823_B01_5; ALDFG_QNT_20200824_B12_6; ALDFG_QNT_20200824_B12_7; ALDFG_QNT_20200824_B12_8; ALDFG_QNT_20200824_B12_9; ALDFG_QNT_20200825_B10_10; ALDFG_QNT_20200825_B10_11; ALDFG_QNT_20200825_B10_12; ALDFG_QNT_20200826_B11_13; ALDFG_QNT_20200826_B11_14; ALDFG_QNT_20200826_B11_15; ALDFG_QNT_20201205_B01_3; ALDFG_QNT_20201205_B01_4; ALDFG_QNT_20201206_B10_5; ALDFG_QNT_20201206_B11_6; ALDFG_QNT_20201207_B09_7; ALDFG_QNT_20201207_B09_8; ALDFG_QNT_20201208_B25_10; ALDFG_QNT_20201208_B25_9; ALDFG_QNT_20201210_B26_12; ALDFG_QNT_20201210_B26_13; ALDFG_QNT_20201210_B27_14; ALDFG_QNT_20201212_B22_16; ALDFG_QNT_20201212_B22_17; ALDFG_QNT_20201212_B23_15; ALDFG_QNT_20201213_BP3_18; ALDFG_QNT_20201213_BP3_19; ALDFG_QNT_20201213_BP3_20; ALDFG_QNT_20201215_B12_21; ALDFG_QNT_20201215_B12_22; ALDFG_QNT_20201215_B12_23; ALDFG_QNT_20211204_B01_3; ALDFG_QNT_20211204_B01_4; ALDFG_QNT_20211204_B01_5; ALDFG_QNT_20211204_B01_6; ALDFG_QNT_20211204_B01_7; ALDFG_QNT_20211204_B01_8; ALDFG_QNT_20211205_B12_10; ALDFG_QNT_20211205_B12_11; ALDFG_QNT_20211205_B12_12; ALDFG_QNT_20211205_B12_13; ALDFG_QNT_20211205_B12_14; ALDFG_QNT_20211205_B12_9; ALDFG_QNT_20211206_B11_15; ALDFG_QNT_20211207_B09_16; ALDFG_QNT_20211207_B09_17; ALDFG_QNT_20211207_B09_18; ALDFG_QNT_20211207_B09_19; ALDFG_QNT_20211207_B09_20; ALDFG_QNT_20211207_B09_21; ALDFG_QNT_20211208_B09_22; ALDFG_QNT_20211209_B25_23; ALDFG_QNT_20211209_B25_24; ALDFG_QNT_20211209_B25_25; ALDFG_QNT_20211209_B25_26; ALDFG_QNT_20211209_B25_27; ALDFG_QNT_20211210_B23_32; ALDFG_QNT_20211210_B27_28; ALDFG_QNT_20211210_B27_29; ALDFG_QNT_20211210_B27_30; ALDFG_QNT_20211212_B23_31; Area; Baltic Sea; Bottom trawl; BT; Calculated; Code; Counted; DATE/TIME; Event label; Identification; LATITUDE; LONGITUDE; Marine litter; Marine litter, fishing gear, other; Marine litter, fishing net; Marine litter, glass; Marine litter, miscellaneous; Marine litter, natural; Marine litter, plastic; Time in minutes
    Materialart: Dataset
    Format: text/tab-separated-values, 3689 data points
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  • 5
    Publikationsdatum: 2024-03-14
    Beschreibung: Plastic litter items (LI) at the seafloor of the Baltic Sea comprises different polymers. 40 LI were collected within fishery catches by bottom trawling during three cruises in 2020 and 2021 and analysed for their polymer types using attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy, performed on a Spotlight 400 FTIR Imaging System (PerkinElmer Inc., Waltham, USA). The resulting spectra were compared against reference spectra databases. Just LI spectra showing correlation factors above 0.90 compared to the reference spectra were included in the evaluation. Polymer type of plastic LI under investigation could be attributed to six different polymer groups: Polyethylene (PE), polyamide (PA), polypropylene (PP), polyvinylchloride (PVC), polyester (PES) and polyethylene terephthalate (PET). PE was the most frequently identified polymer representing 59% of all plastic items under investigation - followed by PA (17%), PP (12%), PVC (7%) and PES (3%).
    Schlagwort(e): ALDFG_CHAR_20200822_B01_1; ALDFG_CHAR_20200822_B01_2; ALDFG_CHAR_20200823_B01_4; ALDFG_CHAR_20200823_B01_5; ALDFG_CHAR_20200824_B12_7; ALDFG_CHAR_20200824_B12_9; ALDFG_CHAR_20200825_B10_10; ALDFG_CHAR_20200826_B11_13; ALDFG_CHAR_20200826_B11_14; ALDFG_CHAR_20201205_B01_3; ALDFG_CHAR_20201205_B01_4; ALDFG_CHAR_20201207_B09_8; ALDFG_CHAR_20201208_B25_10; ALDFG_CHAR_20201210_B26_12; ALDFG_CHAR_20201210_B26_13; ALDFG_CHAR_20201212_B22_17; ALDFG_CHAR_20201213_BP3_19; ALDFG_CHAR_20201213_BP3_20; ALDFG_CHAR_20201215_B12_21; ALDFG_CHAR_20201215_B12_23; ALDFG_CHAR_20211204_B01_3; ALDFG_CHAR_20211204_B01_5; ALDFG_CHAR_20211204_B01_7; ALDFG_CHAR_20211204_B01_8; ALDFG_CHAR_20211205_B12_11; ALDFG_CHAR_20211205_B12_13; ALDFG_CHAR_20211206_B11_15; ALDFG_CHAR_20211207_B09_17; ALDFG_CHAR_20211207_B09_19; ALDFG_CHAR_20211207_B09_20; ALDFG_CHAR_20211208_B09_22; ALDFG_CHAR_20211209_B25_23; ALDFG_CHAR_20211209_B25_25; ALDFG_CHAR_20211209_B25_27; ALDFG_CHAR_20211210_B23_32; ALDFG_CHAR_20211210_B27_29; ALDFG_CHAR_20211210_B27_30; ALDFG_CHAR_20211212_B23_31; Baltic Sea; Bottom trawl; BT; Calculated; Category; Class; Code; Color description; Comment; Correlation coefficient; DATE/TIME; Event label; Identification; LATITUDE; Length; LONGITUDE; Marine litter; Mass; Measured; Polymer; Visual description; Weighted
    Materialart: Dataset
    Format: text/tab-separated-values, 694 data points
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  • 6
    Publikationsdatum: 2021-04-08
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev
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  • 7
    facet.materialart.
    Unbekannt
    ELSEVIER SCI LTD
    In:  EPIC3Environmental Pollution, ELSEVIER SCI LTD, 269(116095), ISSN: 0269-7491
    Publikationsdatum: 2021-03-22
    Beschreibung: The occurrence of microplastics throughout marine environments worldwide, from pelagic to benthic habitats, has become serious cause for concern. Hadal zones were recently described as the “trash bins of the oceans” and ultimate sink for marine plastic debris. The Kuril region covers a substantial area of the North Pacific Ocean and is characterised by high biological productivity, intense marine traffic through the Kuril straits, and anthropogenic activity. Moreover, strong tidal currents and eddy activity, as well as the influence of Pacific currents, have the potential for long distance transport and retention of microplastics in this area. To verify the hypothesis that the underlying Kuril Kamchatka Trench might accumulate microplastics from the surrounding environments and act as the final sink for high quantities of microplastics, we analysed eight sediment samples collected in the Kuril Kamchatka Trench at a depth range of 5143–8250 m during the Kuril Kamchatka Biodiversity Studies II (KuramBio II) expedition in summer 2016. Microplastics were characterised via Micro Fourier Transform Infrared spectroscopy. All samples were analysed in their entirety to avoid inaccuracies due to extrapolations of microplastic concentrations and polymer diversities, which would otherwise be based on commonly applied representative aliquots. The number of microplastic particles detected ranged from 14 to 209 kg−1 sediment (dry weight) with a total of 15 different plastic polymers detected. Polypropylene accounted for the largest proportion (33.2%), followed by acrylates/polyurethane/varnish (19%) and oxidized polypropylene (17.4%). By comparing extrapolated sample aliquots with in toto results, it was shown that aliquot-based extrapolations lead to severe under- or overestimations of microplastic concentrations, and an underestimation of polymer diversity.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev , info:eu-repo/semantics/article
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 8
    Publikationsdatum: 2014-12-17
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Thesis , notRev
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 9
    facet.materialart.
    Unbekannt
    PERGAMON-ELSEVIER SCIENCE LTD
    In:  EPIC3Water Research, PERGAMON-ELSEVIER SCIENCE LTD, 108, pp. 365-372, ISSN: 0043-1354
    Publikationsdatum: 2017-06-07
    Beschreibung: The global presence of microplastic (MP) in aquatic ecosystems has been shown by various studies. However, neither MP concentrations nor their sources or sinks are completely known. Waste water treatment plants (WWTPs) are considered as significant point sources discharging MP to the environment. This study investigated MP in the effluents of 12 WWTPs in Lower Saxony, Germany. Samples were purified by a plastic-preserving enzymatic-oxidative procedure and subsequent density separation using a zinc chloride solution. For analysis, attenuated total reflection Fourier-transform infrared spectroscopy (ATR-FT-IR) and focal plane array (FPA)-based transmission micro-FT-IR imaging were applied. This allowed the identification of polymers of all MP down to a size of 20 μm. In all effluents MP was found with quantities ranging from 0 to 5 × 101 m-3 MP 〉 500 μm and 1 × 101 to 9 × 103 m-3 MP 〈 500 μm. By far, polyethylene was the most frequent polymer type in both size classes. Quantities of synthetic fibres ranged from 9 × 101 to 1 × 103 m-3 and were predominantly made of polyester. Considering the annual effluxes of tested WWTPs, total discharges of 9 × 107 to 4 × 109 MP particles and fibres per WWTP could be expected. Interestingly, one tertiary WWTP had an additionally installed post-filtration that reduced the total MP discharge by 97%. Furthermore, the sewage sludge of six WWTPs was examined and the existence of MP, predominantly polyethylene, revealed. Our findings suggest that WWTPs could be a sink but also a source of MP and thus can be considered to play an important role for environmental MP pollution.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , peerRev
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