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Long-term dataset for contaminants in fish, mussels, and bird eggs from the Baltic Sea
Swedish Museum of Natural History, Department of Environmental Monitoring and Research.ORCID iD: 0000-0002-3968-2008
Swedish Museum of Natural History, Department of Environmental Monitoring and Research.ORCID iD: 0000-0001-8468-0696
Swedish Museum of Natural History, Department of Environmental Monitoring and Research. Stockholm University.ORCID iD: 0000-0001-7053-9667
Swedish Museum of Natural History, Department of Environmental Monitoring and Research.ORCID iD: 0000-0002-8490-8600
2024 (English)In: Scientific Data, E-ISSN 2052-4463, Vol. 11, no 1, article id 400Article in journal, Editorial material (Refereed) Published
Abstract [en]

Widespread persistent contaminants are a global environmental problem. In the Baltic Sea, wildlife contamination was first noticed in the 1960s, prompting the Swedish Environmental Protection Agency to establish a comprehensive Swedish National Monitoring Programme for Contaminants in Marine Biota (MCoM) in 1978 run by the Swedish Museum of Natural History. Eight species have been analysed, four fish species (Atlantic herring, Atlantic cod, European perch, viviparous eelpout), one bivalve species (blue mussel), and egg from three bird species (common guillemot, common tern, Eurasian oystercatcher). Here, we present a dataset containing MCoM data from its start until 2021. It includes 36 sets of time-series, each analysed for more than 100 contaminants. The longest time-series is for common guillemot and starts in 1968. We describe the structure of MCoM including historic changes to the number of stations, sample treatment, analytical methods, instruments, and laboratories. The MCoM data is available at the Bolin Centre repository and on GitHub through our R package mcomDb. The latter will be updated yearly with new MCoM records.

Place, publisher, year, edition, pages
2024. Vol. 11, no 1, article id 400
National Category
Environmental Sciences
Research subject
Man and the environment
Identifiers
URN: urn:nbn:se:nrm:diva-5591DOI: 10.1038/s41597-024-03216-0OAI: oai:DiVA.org:nrm-5591DiVA, id: diva2:1861369
Funder
Swedish Research Council Formas, 2021-00942Swedish Research Council Formas, 2021-00942Swedish Research Council Formas, 2021-00942Swedish Research Council Formas, 2021-00942Available from: 2024-05-28 Created: 2024-05-28 Last updated: 2024-10-18Bibliographically approved

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Ammar, YosrFaxneld, SuzanneSköld, MartinSoerensen, Anne L.
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