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

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