Data underlying the publication: Predicting leaf traits of herbaceous species from their spectral characteristics
DOI:10.4121/d7d2372d-c82c-4b5c-8016-805e37d923c2.v1
The DOI displayed 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/d7d2372d-c82c-4b5c-8016-805e37d923c2
DOI: 10.4121/d7d2372d-c82c-4b5c-8016-805e37d923c2
Datacite citation style
Roelofsen, Hans (2025): Data underlying the publication: Predicting leaf traits of herbaceous species from their spectral characteristics. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/d7d2372d-c82c-4b5c-8016-805e37d923c2.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This dataset contains leaf spectral profiles and plant-trait measurments for 53 herbaceous species, collected in-situ in nature areas throughout the Netherlands.
History
- 2025-06-05 first online, published, posted
Publisher
4TU.ResearchDataFormat
*.txt; *.csv; *.pdfAssociated peer-reviewed publication
Predicting leaf traits of herbaceous species from their spectral characteristicsOrganizations
Wageningen Environmental Research, Wageningen University & ResearchKWR Watercycle Research Institute, VU University Amsterdam
DATA
Files (8)
- 1,719 bytesMD5:
cd042c6db2cd89ace3da647195210043
README.txt - 5,907 bytesMD5:
06a53e9e18cc995990466f115bf72625
FinalPlantTraitsAll.txt - 725 bytesMD5:
fd0b5d0820054f1b376a65c6d8078ee6
FinalPlantTraitsAll_column_description.txt - 415,301 bytesMD5:
e76fd3ee8761cdffd0167f214d87ca36
FinalTrans2.txt - 462,165 bytesMD5:
8f568805a4661a7433bd390ece0636eb
FinRefl.txt - 11,217 bytesMD5:
90fd142419950312fa594f0573b65f13
plantMD.csv - 1,001,956 bytesMD5:
73ad6f4863096f6015eb3d88dc7a8b7e
R_smoothed3.pdf - 671,996 bytesMD5:
062c594ae430cf240f12ee8aca7d5707
TSmoothed1.pdf -
download all files (zip)
2,570,986 bytes unzipped