Data, Scripts & Model underlying the publication: Early indicators of tidal ecosystem shifts are robust across estuaries
doi:10.4121/21762680.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: 10.4121/21762680
doi: 10.4121/21762680
Datacite citation style:
Fivash, Greg; Temmerman, S. (Stijn); Maike Heuner; M.G. Kleinhans; van der Heide, T. (Tjisse) et. al. (2023): Data, Scripts & Model underlying the publication: Early indicators of tidal ecosystem shifts are robust across estuaries. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21762680.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Data & Scripts featured in the currently unpublished manuscript (as of 22-12-2022) Fivash et al. 2023: 'Early geomorphic indicators of tidal ecosystem shifts are robust across estuaries'. This study explores the role of micro-topographic patterns on tidal flats as indicators of imminent marsh establishment in three European estuaries, through geospatial analysis and simple numerical modeling. These files include the data and scripts used to create each figure in the manuscript.
history
- 2023-01-11 first online, published, posted
publisher
4TU.ResearchData
format
Datasets include: Polygon masks (.shp), rasters (.tif), & water level time series (.csv, .txt)
Scripts are written in R (.r) & Python (.py):
Figures include final (.tif) and layered (.clip) files
See readme for full details.
organizations
NIOZ Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta Systems
DATA
files (2)
- 2,841 bytesMD5:
b4257bcd77a5c1391e1e9b8b52c7091c
README.txt - 2,944,139,616 bytesMD5:
670fdb3608e70400d55333bcf5fc8fa9
Chapter6_Fivashetal2022unpublished.zip -
download all files (zip)
2,944,142,457 bytes unzipped