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        <identifier>oai:researchdata.se:gbif-sweden-10-15468-xk2y9u/0</identifier>
        <datestamp>2026-09-09</datestamp>
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        <setSpec>principal:slug:university-of-gothenburg</setSpec>
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          <dc:type>http://purl.org/dc/dcmitype/Dataset</dc:type>
          <dc:identifier>https://doi.org/10.15468/XK2Y9U</dc:identifier>
          <dc:title xml:lang="en">COOL BLUE: Biodiversity survey of low-trophic aquaculture sites in Sweden and Denmark using eDNA and video monitoring</dc:title>
          <dc:creator>https://orcid.org/0009-0008-4396-5431</dc:creator>
          <dc:creator>Mats Heitzmann</dc:creator>
          <dc:contributor>0009-0008-4396-5431</dc:contributor>
          <dc:contributor>0009-0008-4396-5431</dc:contributor>
          <dc:contributor>0000-0002-8740-6147</dc:contributor>
          <dc:contributor>0000-0003-0264-9631</dc:contributor>
          <dc:contributor>0000-0002-4147-6473</dc:contributor>
          <dc:subject xml:lang="en">Biological Sciences</dc:subject>
          <dc:subject xml:lang="sv">Biologi</dc:subject>
          <dc:description xml:lang="en">This dataset provides species occurrence records from a biodiversity survey of low-trophic aquaculture sites cultivating blue mussels (Mytilus edulis), carried out within the COOL BLUE (https://cordis.europa.eu/project/id/101112747)  project. Records were obtained using two complementary monitoring approaches: eDNA metabarcoding, based on water samples and Autonomous Reef Monitoring Structures (ARMS) (https://www.embrc.eu/marine-monitoring-and-modelling/)  bulk samples, and baited remote underwater video (BRUV).

For the BRUV approach, the associated video data were also used to train a machine learning model to identify the recorded taxa. Further information on the methodology and procedure is available here (https://zenodo.org/records/14713926) .</dc:description>
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          <dc:publisher xml:lang="en">University of Gothenburg</dc:publisher>
          <dc:publisher xml:lang="sv">Göteborgs universitet</dc:publisher>
          <dc:date>2026-03-24T00:00:00Z</dc:date>
          <dc:language>eng</dc:language>
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