The University of Manchester (UoM) Dataset

This hyperspectral imagery (HSI) dataset contains scans of Arabidopsis leaf samples under three treatments: controlled, cold stressed, and heat stressed conditions. The controlled condition was maintained at 20 °C, the cold stress at 4 °C, and the heat stress at 30 °C, respectively, for all plants cultivated in growth chambers with an 8-hour light exposure daily. The dataset includes 6 different scene images, with each image containing 6 leaf samples for each class. Additionally, there are 3 replicates of each scene image, providing a total of 18 images for each class. This dataset can be useful for studying the changes in the spectral characteristics of the Arabidopsis leaves under various stress conditions, and it can be used as a benchmark for the development of new algorithms for hyperspectral image analysis. Analysis of these data is described in papers mentioned in the description file.