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SBS AU: GEANS SBS pilot - 2020 DNA based soft bottom monitoring of sediment samples in the framework of complementing benthic soft bottom monitoring with DNA-based methods at North Sea by Aarhus University Citation Sapkota Rumakanta, Jørgen L.S. Hansen, Peter Anton Stæhr, Anne Winding, 2020; DNA metabarcoding macrobenthos from the Danish part of North Sea (DPNS). https://marineinfo.org/id/dataset/6680 Contact: Winding, Anne Availability: This dataset is licensed under a Creative Commons Attribution 4.0 International License. Description Traditional monitoring techniques for ecosystem monitoring identifying are currently time consuming and expensive. By applying DNA-based techniques, GEANS aims to reduce time and costs, and make species identification more accurate. Pilot studies take a central role in proving these advantages. Among the pilot studies, one focuses on soft-bottom monitoring of macrobenthos. Sediment samples were taken at 11 station in Danish part of North Sea, analysed through metabarcoding and results were compared with traditional monitoring techniques in order to demonstrate the improvement of applying novel techniques. This data is the result of DNA based soft bottom monitoring of sediment samples in the framework of complementing benthic soft bottom monitoring with DNA-based methods at North Sea by Aarhus University. Scope Themes: Biology, Biology > Benthos > Macrobenthos, Biology > Ecology - biodiversity Keywords: Marine/Coastal, Genetics, ANE, North Sea, Kattegat, Animalia Geographical coverage ANE, North Sea, Kattegat [Marine Regions] Temporal coverage 2019 - 2020 Taxonomic coverage Animalia [WoRMS] Contributors University of Aarhus (AU), more, data provider, data creator Related datasets Parent dataset: GEANS Data: Genetic tools for Ecosystem health Assessment in the North Sea region, more Project GEANS: Genetic Tools for Ecosystem Health Assessment in the North Sea Region, more URLs Dataset status: In Progress Data type: Data Data origin: Research: field survey Metadatarecord created: 2021-03-25 Information last updated: 2023-07-13 |