Leaf traits and infrared spectra of 20 plant species

DOI

A project that study the infrared spectra of 20 plant species (herbaceous and woody plants) and their leaf traits including microscopic measurements of the leaves, leaf water content, lignin, cellulose, carbon, and nitrogen content.

Metadata is included with the data in a PDF file: "metadata_spectra_leaf_traits"1. Pictures in JPG format of the microscopic structures of the leaf/main vein for 3 leaves per plant.2. Infrared spectra from 1.4 to 16 micrometer and is presented in .csv file.3. Chemistry data is presented in a .csv file (other_leaf_traits.csv), including the name of the instrument used for the measurements and the value of each measurement.Microscopic data:Instrument: Leitz Wetzlar optical microscope with an amplification from 4X to 630X.Example folder name: microscopy_acer_platanoides (name of each species)Example code used in the pictures inside each folder:ap1: acer platanoides plant 14x: obejctive microscope’s magnification 4X (the total magnification is 40 times: 10x from the microscope and 4x from the objective)Spectral data:Instrument: Bruker Vertex 70 FTIR spectrometer adapted with an external integrating sphere for hemispherical reflectance. Details on the spectrometer design and calibration procedures can be found in Hecker et al. (2011).The spectra were measured in the range 7000-600 cm-1 wavenumber (1.4287-16.6666 µm wavelength) with a resolution of 4 cm-1. Per leaf, 520 scans per sample, and eight samples in total were taken. These measurements were averaged per leaf.To avoid errors produced by noise from the instrument during measurements, one measurement was included every day (dark current) with an open port (no sample on the sample port). This measurement was used to correct the reflectance of each leaf.Although the spectra were measured in the wavenumber domain, their wavelengths are displayed in micrometers as this is customary in the remote sensing community. Reflectance was converted to emissivity using Kirchhoff’s law (emissivity + reflectance = 1) and is presented in .CSV files.Code used in the spectral data:File: acer_platanoides.CSV (name of each species)Example code of each column inside the .CSV fileap1: acer platanoides plant 1References:Hecker, C., Hook, S., van der Meijde, M., Bakker, W., van Werff, H., Wilbrink, H., van Ruitenbeek, F., de Smeth, B., & van der Meer, F. (2011). Thermal infrared spectrometer for earth science remote sensing applications-instrument modifications and measurement procedures. Sensors, 11, 10981-10999

Identifier
DOI https://doi.org/10.17026/dans-xs2-44qq
Metadata Access https://lifesciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-xs2-44qq
Provenance
Creator M.F. Buitrago; T.A. Groen; A.K. Skidmore; C.A. Hecker
Publisher DANS Data Station Life Sciences
Contributor M Th Koelen; ITC faculty, University of Twente
Publication Year 2017
Rights DANS Licence; info:eu-repo/semantics/restrictedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact M Th Koelen (Faculty of Geo-Information Science and Earth Observation)
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Version 1.0
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Basic Biological and Medical Research; Biochemistry; Biology; Earth and Environmental Science; Environmental Research; Geosciences; Life Sciences; Medicine; Natural Sciences