Data sets for "Correlation of plastic events with local structure in jammed packings across spatial dimensions"

Plotted from "Correlation of plastic events with local structure in jammed packings across spatial dimensions".<br>Unless otherwise stated, all data are pickled python dictionaries, so one may e.g. do<br><br>```<br>import pickle<br><br>with open(filename, "rb") as f:<br> data = pickle.load(f)<br><br>print(data)<br>```<br><br>to see which data are present in the file.<br>## CZ_data.pkl and CS_data.pkl<br>These dictionaries contain the data used in Fig. 1 and Fig. S4. For example, to reproduce the main panels of Fig. 1, plot ``data["perc_list"][dim]`` vs. ``data["P_list"][dim]``, with ``data["std_list"][dim]`` as the error bar.<br><br>## corr_lengths.pkl<br>The data of Fig. 2. The pickle contains a tuple of four dictionaries, which contain Pressure, D2min correlation length, rescaled d2min correlation length, and Softness correlation length respectively.<br><br>## corrfuncs<br>Raw correlation function data as seen in Fig S7-S11, and thus used to generate the data of Fig. 2. Subdirectories specify system parameters – note phi=packing fraction, Lp=minus log base ten of pressure, and then within them each seed has a subdirectory, and each simulation frame containing a plastic event has its own file.<br><br>## PRZ_binned_std.pkl and PRZ_binned_mean.pkl<br>The data of figure 3, with Z scaled by standard deviation or mean respectively.<br><br>## PRZ_all.pkl<br>The data of figure S2.<br><br>## Z_dist.pkl<br>The data of figure S3.<br><br><br>