Data sets for: Elastoplasticity Mediates Dynamical Heterogeneity Below the Mode Coupling Temperature

Data sets comprising: (a) FigData (Figure data): .npz files (https://numpy.org/doc/stable/reference/generated/numpy.savez.html) containing pandas data structures (https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html, https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html, https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.concat.html) (effectively, N-dimensional arrays with labelled axes) containing the data plotted in the paper, named according to the figure to which the data corresponds (e.g. S1a_inset contains the data for the inset to subfigure a of figure 1 of the Supplementary Material). As well as having the data in .npz files, versions of the data are stored in .pkl pandas data frames (read with "import pandas as pd; pd.read_pickle('path-to-bla.npz')") as well as .csv (comma-separated values) files (a text format). Note: Bootstrapped data will not be identical to that from the paper, due to the use of an unset seed when generating the figures for the paper. (b) FigGenData (Figure-generation data) Data sets used in the actual generation of the figures, as seen in the figure-generation code (FigGen.py file) at https://physics.paperswithcode.com/paper/elastoplasticity-mediates-dynamical To read the metadata of file bla.npz, which includes the name of the code used to generate it, use: import numpy as np np.load('path-to-bla.npz',allow_pickle=True)['metadata'].flat[0]