Spatio-temporal copper prospectivity in the American Cordillera predicted by positive-unlabelled machine learning – supplement

Source data and code used to create training and test datasets for the machine learning models presented in the paper: Alfonso, C.P., Müller, R.D., Mather, B., Anthony, M. In prep. Spatio-temporal copper prospectivity in the American Cordillera predicted by positive-unlabelled machine learning.

Python notebooks and scripts can also be found in the GitHub repository.