Near infrared imaging data from brown rot decayed wood

  • Tiina Belt (Natural Resources Institute Finland) (Creator)
  • Muhammad Awais (Creator)
  • Mikko Mäkelä (VTT Technical Research Centre of Finland) (Creator)



This dataset contains near infrared imaging data from the following publication: Belt, T.; Awais, M.; Mäkelä, M. (2022) Chemical characterization and visualization of progressive brown rot decay of wood by near infrared imaging and multivariate analysis. Frontiers in Plant Science 13:940745. DOI: 10.3389/fpls.2022.940745. Details on the samples, the decay test, and the image collection parameters can be found in the publication.

The “Sample IDs and mass losses.cvs” file contains the sample ID and mass loss due to decay of each sample in the dataset. The “C puteana.mat” and “R. placenta.mat” files contain the near infrared imaging data of samples exposed to the fungus Coniophora puteana and the fungus Rhodonia placenta, respectively, organised into cell arrays of sample IDs and corresponding image files. To generate the image files, a region of interest of 551 x 384 pixels was selected from the raw image files to produce an image that contains the sample surrounded by background. The spectral data were then converted to reflectance and corrected using the calibration reflectance target values.
Date made available11 Jul 2022

Dataset Licences

  • CC-BY-4.0

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