Data underlying the publication: The potential impact of human interventions at different scales in offshore wind farms to promote flat oyster (Ostrea edulis) reef development in the southern North Sea.

doi: 10.4121/22182325.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/22182325
Datacite citation style:
Remment ter Hofstede (2023): Data underlying the publication: The potential impact of human interventions at different scales in offshore wind farms to promote flat oyster (Ostrea edulis) reef development in the southern North Sea. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/22182325.v1
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Dataset

Stepwise procedure to quantify the effect of interventions that stimulate oyster reef development in offshore windfarms.

An assessment was made in the southern North Sea, of all offshore wind farms and the infrastructure therein,  present up to the date 31 December 2020, and of areas designated for future wind farms.

Wind farm data was obtained from wind farm owners, wind farm websites, and from web-based sources www.4coffshore.com and www.emodnet.ec.europe.eu. 

Data on physical conditions (i.e. shear stress from Kamermans et al. (2018) and suspended particle matter from Gayer (2020)) were determined for the wind farm locations using using GoogleEarth.

The effects of various interventions on oyster reef development were estimated quantitatively from assumptions based upon various previous studies.

For further information see manuscript: https:/doi.org/10.1051/alr/2023001

history
  • 2023-02-28 first online, published, posted
publisher
4TU.ResearchData
format
*.xlsx; *.pptx; *.txt; *png; *.eps; *.ppkx
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering
Van Oord Dredging and Marine Contractors

DATA - under embargo

The files in this dataset are under embargo until 2026-01-01.

Reason

Part of PhD research