Datasets for KS-test minimum difference and fraction of caged particles in a dense granular gas

These files contains the data related research titled "Criteria for dynamical clustering in permanently excited granular gases: Comparison and estimation with machine learning". The description of the files: "dataset_ks_test_minimum_difference.csv" contains system parameters and corresponding KS-test minimum differences obtained from numerical simulations "test_dataset_minimum_difference_machine_learning_predictions.csv" contains system parameters and KS-test minimum difference predicted with machine learning. "dataset_caging_criterion_max_fraction_caged_particles.csv" contains system parameters and maximum fraction of caged particles obtained from numerical simulations "dataset_caging_criterion_max_fraction_predictions.csv" contains system parameters and maximum fraction of caged particles predicted with machine learning.