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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)
Contact: Winding, Anne

Availability: Unrestricted after moratorium period
Data are initially restricted, but the access condition relaxes to academic or unrestricted once a specified period of time after an event (such as collection, publication, completion of QC procedures or project cessation) has elapsed

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, 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), moredata providerdata 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


Dataset status: In Progress
Data type: Data
Data origin: Research: field survey
Metadatarecord created: 2021-03-25
Information last updated: 2021-06-04
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