This file is automatically generated. It contains the descriptions of each uploaded file as provided by the user.

• Cepstral.ipynb: Jupyter Notebook where the behaviour of cepstral analysis vs the number of retained cepstral coefficients is studied.
• AnalysisPlot.ipynb: Jupyter Notebook where the Green-Kubo and Helfand-Einstein formulas are analysed to produce the plots displayed in the reference article.
• GKHE_quant_40B.dat: Data file of Green-Kubo and Helfand-Einstein integrals of the autocorrelation function of the charge flux obtained from Born effective charge tensors. 40-block analysis.
• GKHE_quant_120B.dat: Data file of Green-Kubo and Helfand-Einstein integrals of the autocorrelation function of the charge flux obtained from Born effective charge tensors. 120-block analysis.
• GKHE_class_40B.dat: Data file of Green-Kubo and Helfand-Einstein integrals of the autocorrelation function of the charge flux obtained from oxidation numbers. 40-block analysis.
• GKHE_class_120B.dat: Data file of Green-Kubo and Helfand-Einstein integrals of the autocorrelation function of the charge flux obtained from oxidation numbers. 120-block analysis.
• GKHE_diff_40B.dat: Data file of Green-Kubo and Helfand-Einstein integrals of the autocorrelation function of the charge flux difference. 40-block analysis.
• GKHE_diff_120B.dat: Data file of Green-Kubo and Helfand-Einstein integrals of the autocorrelation function of the charge flux difference. 120-block analysis.
• elclass.dat: Data file of the time series of the charge flux obtained from oxidation numbers.
• elquant.dat: Data file of the time series of the charge flux obtained from Born effective charge tensors.
• diff.dat: Data file of the time series of the difference between the mentioned charge fluxes.
• README.txt: Readme containing a more extensive description of the data as well as references to the code employed to perform the analysis.