A universal synthetic dataset for machine learning on spectroscopic data

Jan Schuetzke, Nathan J. Szymanski, Markus Reischl

To assist in the development of machine learning methods for automated classification of spectroscopic data, we have generated a universal synthetic dataset that can be used for mo…