Supporting data for “Consistent machine learning for nuclear mass, β-decay rate, and β-delayed neutron emission probability”

The file name "mass.csv" contains the nuclear mass prediction from the neural network I trained in the research, which uses the data from columns B-E as input and uses the data from column F and the experimental data to be the output. The file name "beta decay_rate.csv" contains the nuclear beta-decay rate prediction from the neural network I trained in the research. The beta-decay rate from the experimental data is used as the output of the training, and the beta-decay rates predicted by the neural network model with 10 different hyperparameters are shown in the file. The beta-decay rate predicted by the Gross theory is shown as a reference.The file name "pn.csv" contains the nuclear beta-delayed neutron emission probability prediction from the neural network I trained in the research. The beta-decay rate and beta-delayed neutron emission probability from the experimental data are used as the output of the training, and the beta-delayed neutron emission probabilities predicted by the neural network model with 10 different hyperparameters are shown in the file. The beta-delayed neutron emission probability predicted by the Gross theory is shown as a reference.