2024-12-24 11:00: Our storage is full. Uploading files will be possible again from December 28, 2024.

Supporting data for the publication: "A tool for determining multiscale bedform characteristics from bed elevation data"

doi:10.4121/19620093.v2
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: 10.4121/19620093
Datacite citation style:
Zomer, Judith (2022): Supporting data for the publication: "A tool for determining multiscale bedform characteristics from bed elevation data". Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/19620093.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2022-08-02 (latest)
version 1 - 2022-05-02
Wageningen University and Research logo
usage stats
1080
views
432
downloads
keywords
River dunes, Waal
geolocation
Waal river, Netherlands
licence
cc-by.png logo CC BY 4.0

This dataset contains the data used to make Figure 4 in the publication 'A tool for determining multiscale bedform characteristics from bed elevation data' by Zomer et al. It includes properties of primary and secondary dunes in the river Waal. Per dune the following information is provided: x (Easting, in RD new coordinates; EPSG: 28992) and y (Northing), H (dune height), L (dune length), Lee (the lee slope in m/m), maxLee (the maximum lee slope in m/m), Stoss (stoss slope in m/m), and datenum (serial date number). The dataset includes text files and a matlab file (.mat). The latter is structured, so that dune properties are provided per bed elevation profile. 

history
  • 2022-05-02 first online
  • 2022-08-02 published, posted
publisher
4TU.ResearchData
format
text files, matlab files
organizations
Hydrology and Quantitative Water Management Group, Wageningen University & Research

DATA

files (3)