After each run, the data consisting of both the input parameters and the output values, are automatically stored in a JSON file. These JSONs have been converted to .CSV files for easier data manipulation and are available in the supplementary information as both .CSV and in table format. They have been stored like this in guidance with the FAIR guiding principles for scientific data. These datasets have the potential to be used in future projects; the data is of high quality due to the absence of mass, heat and photon transport issues. Since they all are run on the same platform, the error between them is reduced. Another advantage is the presence of negative data which is commonly not published and thus hard to get, but nevertheless important for the development of machine learning models. 43