Spectra data generated for "Color Classification of Earth-like Planets with Machine Learning" (https://academic.oup.com/mnras/advance-article-abstract/doi/10.1093/mnras/stab1144/6247611). The flux (units: W/m^2) can be accessed in the flux.pk (pickle file) or flux.csv (comma-separated file). These files also contain the biota information and composition of various surfaces. There are 318,780 spectra generated in total. The spectra contain 6 km cloud layer, Rayleigh scattering. The surface compositions are: cloud, seawater, sand, snow, biota (six kinds), and cloud. They are in 5% resolution for each composition. The wavelength (units: micrometer) can be accessed in the wavelength.pk (pickle file) or wavelength.csv (comma-separated file). The wavelength ranges from 0.36 micrometers to 1.1 micrometers, with 1000 sampling points. To access the pickle file using Python: import pickle import pandas # load the wavelength dataframe wavelength_dataframe = pickle.load(open('wavelength.pk', 'rb')) # load the fluxes dataframe flux_dataframe = pickle.load(open('flux.pk', 'rb')) The objects loaded by the pickle files will be Pandas dataframes.