VISNIR-SWIR reflectance dataset of copper concentrates

Datasets of VIS-NIR (201 bands, 565-805 nm) and SWIR (101 bands, 1066-1386 nm) average spectra of 82 pellets made of copper concentrate mixtures. The dataset are splited into 75 % training and 25 % testing. The copper concentrate mixture used in this dataset have been characterized via QEMSCAN in: F. rivas, et al, "QEMSCAN REPORT OF 82 COPPER CONCENTRATES," figshare (2023) https://opticapublishing.figshare.com/s/52c54f5634ad9fe79878 Classification models available for this dataset can be found in F. rivas, et al, "VISNIR SWIR machine learning models for classification of copper concentrates," figshare (2023) https://opticapublishing.figshare.com/s/0e9c395a492f7ec1abde