Linking the morphology and ecology of subtidal soft-bottom marine benthic habitats: A novel multiscale approach. Brown Bank 2017 - Biological and geomorphological data
Datacite citation style:
Mestdagh, Sebastiaan; Amiri-Simkooei, A. (Alireza); van der Reijden, K.J. (Karin); Koop, L. (Leo); O'Flynn, S. (Sarah) et. al. (2020): Linking the morphology and ecology of subtidal soft-bottom marine benthic habitats: A novel multiscale approach. Brown Bank 2017 - Biological and geomorphological data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:d6e39e06-b353-437f-b5bc-5812d1c35e2e
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Dataset
22 stations on and around the Brown Bank were selected to study local ecological variation and to link ecological with geomorphological data. Macrobenthos was collected with a box corer and identified to the lowest possible taxonomic level, in three replicates per station. Sediment characteristics (grain size, TOC, chlorophyll α etc.) were measured for each replicate. Geomorphological data (bathymetry, backscatter, BPI etc.) were derived from multibeam echosounding at each station.
history
- 2020-03-24 first online, published, posted
publisher
4TU.Centre for Research Data
format
media types: application/pdf, application/vnd.google-earth.kml+xml, application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
references
organizations
DELTARES (Herman);NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, and Utrecht University (Govers);
NIOZ Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta Systems, and Utrecht University (Mestdagh; O'Flynn; Ysebaert);
TU Delft, Faculty of Aerospace Engineering, Acoustics Group (Amiri-Simkooei; Koop; Simons; Snellen);
The North Sea Foundation (van Sluis);
University of Groningen, Groningen Institute for Evolutionary Life Sciences (GELIFES)
DATA
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Data Brown Bank.xlsx -
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