Document of dataset 6680

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

Geographical coverage

Spatial
ANE, North Sea, Kattegat

Thesaurus terms

Keyword
Genetics

Themes

theme
Biology
Biology > Benthos > Macrobenthos
Biology > Ecology - biodiversity

Taxonomic terms

Taxon keywords
Animalia

Ownerships

contributor
University of Aarhus
contactPoint
Anne Winding
contactPoint
University of Aarhus
creator
Rumakanta Sapkota
creator
University of Aarhus

Dataset references

is part of
Genetic tools for Ecosystem health Assessment in the North Sea region

Projects

was generated by
GEANS - Genetic Tools for Ecosystem Health Assessment in the North Sea Region

Document metadata

date created
2021-03-25
date modified
2023-07-13