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        <titl xml:lang="sv"></titl>
        <parTitl xml:lang="en">COOL BLUE: Biodiversity survey of low-trophic aquaculture sites in Sweden and Denmark using eDNA and video monitoring</parTitl>
        <IDNo agency="SND">gbif-sweden-10-15468-xk2y9u-0</IDNo>
        <IDNo agency="DOI">https://doi.org/10.15468/XK2Y9U</IDNo>
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        <producer xml:lang="en" abbr="SND">Swedish National Data Service</producer>
        <producer xml:lang="sv" abbr="SND">Svensk nationell datatjänst</producer>
      </prodStmt>
      <holdings URI="https://doi.org/10.15468/XK2Y9U">Landing page</holdings>
    </citation>
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    <citation>
      <titlStmt>
        <titl xml:lang="sv"></titl>
        <parTitl xml:lang="en">COOL BLUE: Biodiversity survey of low-trophic aquaculture sites in Sweden and Denmark using eDNA and video monitoring</parTitl>
        <IDNo agency="SND">gbif-sweden-10-15468-xk2y9u-0</IDNo>
        <IDNo agency="DOI">https://doi.org/10.15468/XK2Y9U</IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty xml:lang="en" affiliation="Swedish University of Agricultural Sciences">Xhoni Dalipi</AuthEnty>
      </rspStmt>
      <prodStmt />
      <distStmt>
        <distrbtr xml:lang="en" abbr="SND" URI="https://snd.se">Swedish National Data Service</distrbtr>
        <distrbtr xml:lang="sv" abbr="SND" URI="https://snd.se">Svensk nationell datatjänst</distrbtr>
        <distDate xml:lang="en" date="2026-03-24" />
      </distStmt>
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        <version elementVersion="0" elementVersionDate="2026-03-24" />
      </verStmt>
      <holdings URI="https://doi.org/10.15468/XK2Y9U">Landing page</holdings>
    </citation>
    <stdyInfo>
      <subject />
      <abstract xml:lang="en" contentType="abstract">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) .</abstract>
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        <restrctn xml:lang="en">Access to data through an external actor. </restrctn>
        <restrctn xml:lang="sv">Åtkomst till data via extern aktör. </restrctn>
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    </dataAccs>
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