Dataset for "Analytical quantification of strongly disordered discrete time crystals"

Dataset for "Analytical quantification of strongly disordered discrete time crystals" paper, arXiv:2512.20707. For each perturbation strength $\lambda$, we collected a large number of disorder samples, and the average value was taken as the final data point plotted in the paper. The error bars were calculated as follows: we divided all samples into 5 bins, computed the average value for each bin, and then took the standard deviation of the five bin averages as the error bars plotted in the paper. We have preserved the binning process. Taking fig1ae.mat as an example: Sample_bin represents the number of samples in each bin, Ipr represents the values actually used for plotting in the paper, Ipr_std represents the error bar values used in the plot, and Ipr_bin represents the average value within each bin. They satisfy the following relationships: Ipr = sum(Ipr_bin .* Sample_bin, 3) ./ sum(Sample_bin, 3) Ipr_std = std(Ipr_bin, 1, 3)