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  • 1
    Publication Date: 2023-11-28
    Keywords: Event label; Gas chromatography - Mass spectrometry (GC-MS); Kongsfjorden_2008; Kongsfjorden_shelf-break; Kongsfjorden, Spitsbergen, Arctic; Latitude of event; Liefdefjorden_2008; Lipids; Lipids, standard deviation; Longitude of event; PLA; Plankton net; Polychlorinated biphenyl, standard deviation; Polychlorinated biphenyl 101; Polychlorinated biphenyl 118; Polychlorinated biphenyl 138; Polychlorinated biphenyl 153; Polychlorinated biphenyl 28; Polychlorinated biphenyl 52; Polychlorinated biphenyl 99; Sample amount, subset; Species; Standard deviation; Svalbard; Trophic state; δ13C; δ13C, standard deviation; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 478 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-11-28
    Keywords: alpha-Hexachlorocyclohexane; Chlordane, standard deviation; cis-Chlordane; cis-Nonachlor; Dichlorodiphenyldichloroethylene, standard deviation; Event label; gamma-Hexachlorocyclohexane; Gas chromatography - Mass spectrometry (GC-MS); Hexachlorobenzene; Hexachlorobenzene, standard deviation; Hexachlorocyclohexane, standard deviation; Kongsfjorden_2008; Kongsfjorden_shelf-break; Kongsfjorden, Spitsbergen, Arctic; Latitude of event; Liefdefjorden_2008; Longitude of event; para,para-Dichlorodiphenyldichloroethylene; PLA; Plankton net; Sample amount; Sample type; Svalbard; trans-Chlordane; trans-Nonachlor
    Type: Dataset
    Format: text/tab-separated-values, 99 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2023-11-28
    Keywords: Biological sample; BIOS; DATE/TIME; Date/time end; Kongsfjorden_2007; Kongsfjorden, Spitsbergen, Arctic; Length; Mass, maximal; Mass, minimum; Sample comment; Season; Species; Species, common name
    Type: Dataset
    Format: text/tab-separated-values, 152 data points
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2023-11-28
    Keywords: alpha-Hexachlorocyclohexane; Biological sample; BIOS; Chlordane, standard deviation; cis-Chlordane; cis-Nonachlor; DATE/TIME; Date/time end; Dichlorodiphenyldichloroethylene, standard deviation; Group; Hexachlorobenzene; Hexachlorobenzene, standard deviation; Hexachlorocyclohexane, standard deviation; Kongsfjorden_2007; Kongsfjorden, Spitsbergen, Arctic; Lipids; Lipids, standard deviation; Nonachlor, standard deviation; Oxychlordane; para,para-Dichlorodiphenyldichloroethylene; Polybrominated diphenyl ethers, congener BDE-100; Polybrominated diphenyl ethers, congener BDE-154; Polybrominated diphenyl ethers, congener BDE-28; Polybrominated diphenyl ethers, congener BDE-47; Polybrominated diphenyl ethers, congener BDE-99; Polybrominated diphenyl ethers, standard deviation; Polychlorinated biphenyl, standard deviation; Polychlorinated biphenyl 101; Polychlorinated biphenyl 118; Polychlorinated biphenyl 138; Polychlorinated biphenyl 149; Polychlorinated biphenyl 153; Polychlorinated biphenyl 28; Polychlorinated biphenyl 52; Sample amount, subset; Season; Species; Species, common name; Standard deviation; trans-Nonachlor; Trophic state; δ13C; δ13C, standard deviation; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 2757 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2023-11-28
    Keywords: alpha-Hexachlorocyclohexane; Chlordane, standard deviation; cis-Chlordane; cis-Nonachlor; Dichlorodiphenyldichloroethylene, standard deviation; Event label; gamma-Hexachlorocyclohexane (Lindane); Gas chromatography - Mass spectrometry (GC-MS); Hexachlorobenzene; Hexachlorobenzene, standard deviation; Hexachlorocyclohexane, standard deviation; Kongsfjorden_2008; Kongsfjorden_shelf-break; Kongsfjorden, Spitsbergen, Arctic; Latitude of event; Liefdefjorden_2008; Longitude of event; Nonachlor, standard deviation; Oxychlordane; para,para-Dichlorodiphenyldichloroethylene; PLA; Plankton net; Sample amount; Species; Svalbard; trans-Chlordane; trans-Nonachlor
    Type: Dataset
    Format: text/tab-separated-values, 456 data points
    Location Call Number Limitation Availability
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  • 6
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    Unknown
    PANGAEA
    In:  Supplement to: Hallanger, Ingeborg G; Ruus, Anders; Warner, Nicholas A; Herzke, Dorte; Evenset, Anita; Schøyen, Merete; Gabrielsen, Geir W; Borgå, Katrine (2011): Differences between Arctic and Atlantic fjord systems on bioaccumulation of persistent organic pollutants in zooplankton from Svalbard. Science of the Total Environment, 409(14), 2783-2795, https://doi.org/10.1016/j.scitotenv.2011.03.015
    Publication Date: 2023-12-13
    Description: Differences in bioaccumulation of persistent organic pollutants (POPs) between fjords characterized by different water masses were investigated by comparing POP concentrations, patterns and bioaccumulation factors (BAFs) in seven species of zooplankton from Liefdefjorden (Arctic water mass) and Kongsfjorden (Atlantic water mass), Svalbard, Norway. No difference in concentrations and patterns of POPs was observed in seawater and POM; however higher concentrations and BAFs for certain POPs were found in species of zooplankton from Kongsfjorden. The same species were sampled in both fjords and the differences in concentrations of POPs and BAFs were most likely due to fjord specific characteristics, such as ice cover and timing of snow/glacier melt. These confounding factors make it difficult to conclude on water mass (Arctic vs. Atlantic) specific differences and further to extrapolate these results to possible climate change effects on accumulation of POPs in zooplankton. The present study suggests that zooplankton do biomagnify POPs, which is important for understanding contaminant uptake and flux in zooplankton, though consciousness regarding the method of evaluation is important.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Limitation Availability
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  • 7
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    Unknown
    PANGAEA
    In:  Supplement to: Hallanger, Ingeborg G; Warner, Nicholas A; Ruus, Anders; Evenset, Anita; Christensen, Guttorm; Herzke, Dorte; Gabrielsen, Geir W; Borgå, Katrine (2011): Seasonality in contaminant accumulation in Arctic marine pelagic food webs using trophic magnification factor as a measure of bioaccumulation. Environmental Toxicology and Chemistry, 30(5), 1026-1035, https://doi.org/10.1002/etc.488
    Publication Date: 2023-12-13
    Description: Seasonality in biomagnification of persistent organic pollutants (POPs; polychlorinated biphenyls, chlorinated pesticides, and brominated flame retardants) in Arctic marine pelagic food webs was investigated in Kongsfjorden, Svalbard, Norway. Trophic magnification factors (TMFs; average factor change in concentration between two trophic levels) were used to measure food web biomagnification in biota in May, July, and October 2007. Pelagic zooplankton (seven species), fish (five species), and seabirds (two species) were included in the study. For most POP compounds, highest TMFs were found in July and lowest were in May. Seasonally changing TMFs were a result of seasonally changing POP concentrations and the d15N-derived trophic positions of the species included in the food web. These seasonal differences in TMFs were independent of inclusion/exclusion of organisms based on physiology (i.e., warm- versus cold-blooded organisms) in the food web. The higher TMFs in July, when the food web consisted of a higher degree of boreal species, suggest that future warming of the Arctic and increased invasion by boreal species can result in increased food web magnification. Knowledge of the seasonal variation in POP biomagnification is a prerequisite for understanding changes in POP biomagnification caused by climate change.
    Keywords: Biological sample; BIOS; International Polar Year (2007-2008); IPY; Kongsfjorden_2007; Kongsfjorden, Spitsbergen, Arctic
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2024-04-20
    Keywords: Event label; Gas chromatography - Mass spectrometry (GC-MS); Kongsfjorden_2008; Kongsfjorden_shelf-break; Kongsfjorden, Spitsbergen, Arctic; Latitude of event; Liefdefjorden_2008; Longitude of event; PLA; Plankton net; Polychlorinated biphenyl, standard deviation; Polychlorinated biphenyl 101; Polychlorinated biphenyl 118; Polychlorinated biphenyl 138; Polychlorinated biphenyl 153; Polychlorinated biphenyl 28; Polychlorinated biphenyl 52; Polychlorinated biphenyl 99; Sample amount, subset; Sample type; Svalbard; Trophic state; δ13C, particulate organic carbon; δ13C, standard deviation; δ15N, particulate organic nitrogen; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 114 data points
    Location Call Number Limitation Availability
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  • 9
    Publication Date: 2021-09-03
    Description: The purpose of the guidelines is to review existing knowledge and provide guidance for designing an Arctic monitoring program that will track litter and MP. The topics of litter, plastic pollution, and MP are addressed in many fora, including several of the Arctic Council working groups: Arctic Monitoring and Assessment Programme (AMAP; https://www.amap.no/documents/doc/amap-assessment-2016-chemicals-of-emerging-arctic-concern/1624), Protection of the Marine Environment (PAME, 2019), and Conservation of the Arctic Flora and Fauna (CAFF). The development of an Arctic monitoring program and its technical approaches will be based on the work that already exists in other programs such as those of OSPAR, the Helsinki Commission (HELCOM), the International Council for the Exploration of the Sea (ICES), the Organisation for Economic Co-operation and Development (OECD), and the United Nations Environment Programme (UNEP). Plastic pollution is typically categorized into items and particles of macro-, micro-, and nano-sizes. These guidelines address macrosized litter as well as MP (〈 5 mm), essentially including smaller size ranges (〉1 µm). However, determination of nanoplastic (〈 1 µm) particles is still hampered by technical challenges, as addressed in Section 4.3 Analytical methods, and thus not currently considered in the current recommendations. Although most studies have addressed marine litter and MP, these guidelines also comprise the Arctic’s terrestrial and freshwater environments. Thus, the objectives of the guidelines are to: 1) support litter and MP baseline mapping in the Arctic across a wide range of environmental compartments to allow spatial and temporal comparisons in the coming years; 2) initiate monitoring to generate data to assess temporal and spatial trends; 3) recommend that Arctic countries develop and implement monitoring nationally via community-based programs and other mechanisms, in the context of a pan-Arctic program; 4) provide data that can be used with the Marine Litter Regional Action Plan (ML-RAP) to assess the effectiveness of mitigation strategies; 5) act as a catalyst for future work in the Arctic related to biological effects of plastics, including determining environmentally relevant concentrations and informing cumulative effects assessments; 6) identify areas in which research and development are needed from an Arctic perspective; and 7) provide recommendations for monitoring programs whose data will feed into future global assessments to track litter and MP in the environment. To achieve these objectives, the guidelines present indicators (with limitations) of litter and MP pollution to be applied throughout the Arctic, and thus, form the basis for circumpolar comparability of approaches and data. In addition, the guidelines present technical details for sampling, sample treatment, and plastic determination, with harmonized and potentially standardized approaches. Furthermore, recommendations are given on sampling locations and sampling frequency based on best available science to provide a sound basis for spatial and temporal trend monitoring. As new data are gathered, and appropriate power analyses can be undertaken, a review of the sampling sizes, locations, and frequencies should be initiated. Plastic pollution is a local problem in Arctic communities, and thus, guidelines and references need to include community-based monitoring projects to empower communities to establish plastics monitoring with comparable results across the Arctic. Community-based monitoring is an integrated part of the objectives of this report. The monitoring program design and guidelines for its implementation are the necessary first steps for monitoring and assessment of litter and MP in the Arctic. The work under the AMAP LMEG is taking a phased approach under this new expert group. The first phase (which included the development of these Monitoring Guidelines) focuses on a monitoring framework and set of techniques for physical plastics. Later phases of the work will extend to assessments of levels, trends, and effects of litter and MP in the Arctic environment. The guidelines strictly cover environmental monitoring of litter and MP. This does not include drinking water or indoor air quality tests. Additionally, although there is an emphasis on examining litter and MP in biota that are consumed by humans, and thus of interest to human-health questions, the guidelines do not consider MP ingestion by humans.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Miscellaneous , notRev
    Format: application/pdf
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  • 10
    Publication Date: 2022-07-07
    Description: The atmosphere and cryosphere have recently garnered considerable attention due to their role in transporting microplastics to and within the Arctic, and between freshwater, marine, and terrestrial environments. While investigating either in isolation provides valuable insight on the fate of microplastics in the Arctic, monitoring both provides a more holistic view. Nonetheless, despite the recent scientific interest, fundamental knowledge on microplastic abundance, and consistent monitoring efforts, are lacking for these compartments. Here, we build upon the work of the Arctic Monitoring and Assessment Programme’s Monitoring Guidelines for Litter and Microplastic to provide a roadmap for multi-compartment monitoring of the atmosphere and cryosphere to support our understanding of the sources, pathways, and sinks of plastic pollution across the Arctic. Overall, we recommend the use of existing standard techniques for ice and atmospheric sampling and to build upon existing monitoring efforts in the Arctic to obtain a more comprehensive pan-Arctic view of microplastic pollution in these two compartments.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , NonPeerReviewed
    Format: application/pdf
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