Input dune analysis for: Rive dune dynamics during low flow
doi:10.4121/17134703.v1
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doi: 10.4121/17134703
doi: 10.4121/17134703
Datacite citation style:
Lokin, Lieke (2022): Input dune analysis for: Rive dune dynamics during low flow. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/17134703.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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geolocation
Waal River near Druten (river kilometre 894-910)
time coverage
2011-2020
licence
CC BY 4.0
Bed elevation of the centre line of the Waal River (distributary of the Rhine River) between river kilometre points 894 and 911, derived from biweekly Multibeam data covering the fairway of the Waal river. The measurements cover the period from 2011 untill 2020. Z_locations.csv gives the elevation of each point (rows) at each date (columns), MXY_locations.csv contaions to the geographical locations where the first column gives the distance along the line and the second and third columns give X Y coordinates in the RD new geographic reference system (EPSG:28992). dates.csv contains the dates the bed elevations were measured. QTiel-2009_2020_daymean.csv are the daily mean discharges at measurement station Tiel for the period from 1 Jan 2009 up to 31 Dec 2020, this is the discharge gauge closest to the study area within the Waal River..
These data are used to analyse the dunes on the river bed as described in the companion paper. The analysis method is described in the companion paper and the analysis scripts are published separately (https://doi.org/10.5281/zenodo.5764363).
These data are used to analyse the dunes on the river bed as described in the companion paper. The analysis method is described in the companion paper and the analysis scripts are published separately (https://doi.org/10.5281/zenodo.5764363).
history
- 2022-03-31 first online, published, posted
publisher
4TU.ResearchData
format
*.csv
associated peer-reviewed publication
River dune dynamics during low flows
data link
https://doi.org/10.5281/zenodo.5764363
funding
- Rivers2Morrow
organizations
University of Twente, University of Twente, Faculty of Engineering Technology (ET), Marine and Fluvial Systems (MFS)
DATA
files (5)
- 2,476 bytesMD5:
885c39a4f2989d48fa323e9669d9347e
README data.txt - 43,596,846 bytesMD5:
c92edf075f62fc24be703a7c827c4e46
dates.csv - 1,035,075 bytesMD5:
9fbf921bcc7f2bbf272797959f0522c5
MXY_locations.csv - 117,663 bytesMD5:
2d0eb87351b6e2ee569dee46abd1e471
QTiel_2009_2020_daymean.csv - 78,520,795 bytesMD5:
5ecf4286d44b5af527c2918dc45fc50a
Z_locations.csv -
download all files (zip)
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