Data underlying the publication: The importance of marshes providing soil stabilization to resist fast-flow erosion in case of a dike breach
doi:10.4121/15104343.v1
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doi: 10.4121/15104343
doi: 10.4121/15104343
Datacite citation style:
Marin Diaz, Beatriz; Govers, Laura L.; van der Wal, Daphne; Olff, Han; J. Bouma, Tjeerd (2022): Data underlying the publication: The importance of marshes providing soil stabilization to resist fast-flow erosion in case of a dike breach. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/15104343.v1
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Dataset
This dataset contains the data obtained and utilized for the manuscript: The importance of marshes providing soil stabilization to resist fast-flow erosion in case of a dike breach. The aim was to quantify the topsoil erosion resistance from marshes and bare tidal flats with different soil types to understand the extent to which they can help reduce breach depth in case of a dike breach during a storm. Intact soil samples were collected from eleven locations in the Netherlands at different tidal elevations and then exposed for three hours to 2.3 m s-1 currents in a flow flume. The topsoil erosion was measured for each sample. The dataset includes 1) a file with the belowground vegetation properties, sediment properties and erosion values for each soil sample; 2) a file with soil stability data from artificial cracks made in some of the samples at the end of the topsoil erosion experiment; and 3) the code for the data analysis in R.
history
- 2022-04-01 first online, published, posted
publisher
4TU.ResearchData
format
R file and csv
organizations
NIOZ Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta Systems and Utrecht University;University of Groningen , Groningen Institute for Evolutionary Life Sciences, Community and Conservation Ecology Group
DATA
files (4)
- 5,275 bytesMD5:
dc8ddbd19eda5995e5fc9d259a4882ee
README.txt - 18,315 bytesMD5:
ef53bbc95172d0cb6a62680b7d058f1f
MarinDiaz et al code.R - 584 bytesMD5:
b26b1a7c7694fa0d79861e0d44e6ab5f
MarinDiaz et al cracks_stability.csv - 21,454 bytesMD5:
a4ca5314a4bd928ae3a3872c1b426b86
MarinDiaz et al data_variables.csv -
download all files (zip)
45,628 bytes unzipped