PYTHON code for measuring seismic travel-time changes with the wavelet method Contact: Han Byul Woo (hanbyulwoo@gmail.com) This PYTHON script package contains codes and test data for plotting quality of dispersion measurements obtained from two ambient-noise data processing methods. Phase cross-correlation and phase-weighted stacking Time cross-correlation and linear stacking PYTHON version 3.9 was used to run the script and following packages are required to run the scripts. 1.numpy 2.scipy 3.csv 4.sklearn 5.matplotlib Table of contents: — quality_control_aux.py: Core functions to plot quality parameters and quality controlled group velocity curves. The script also includes estimation of reproducibility and find the number of progressive stacks required to have a root-mean-squared error value away from a selected reference network-averaged group velocity curve. — plot_quality_control.py: Loads dispersion measurements and quality (signal-to-noise ratio and number of wavelengths) to plot the quality and quality controlled group velocity curves. — Dispersion_Data: Includes dispersion meassurements and quality for each wave period calculated based on two data processing methods (PCC-PWS and Time-Lin). Dispersion measurements for each progressive stacks are also included to estimate the reproducibility.