Dataset record
- Type
- Dataset
- title in English
- 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
- Acronym
- SBS AU
- Abstract in English
- 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.
- License
- https://spdx.org/licenses/CC-BY-4.0.html
- bibliographicCitation
- Sapkota Rumakanta, Jørgen L.S. Hansen, Peter Anton Stæhr, Anne Winding, 2020; DNA metabarcoding macrobenthos from the Danish part of North Sea (DPNS)
Temporal coverage
- Temporal
-
- Start date
- 2019-01-01
- End date
- 2020-01-01
Thesaurus terms
- Keyword
- Genetics
Themes
- theme
- Biology
- Biology > Benthos > Macrobenthos
- Biology > Ecology - biodiversity
Projects
- was generated by
- GEANS - Genetic Tools for Ecosystem Health Assessment in the North Sea Region