Replication Data for: "Topography-Incorporated Adjoint-State Surface Wave Traveltime Tomography for Azimuthally Anisotropic Media"

Replication Data for: "Topography-Incorporated Adjoint-State Surface Wave Traveltime Tomography for Azimuthally Anisotropic Media" # src_rec_file_pub.csv Field description of `src_rec_file_pub.csv`: tt: observed Rayleigh wave phase traveltime (sec) stla, stlo, evla, evlo: latitude and longitude of station and virtual source, respectively dist: distance between station and virtual source (km) evtname, staname: name of virtual source and station, respectively period: period of traveltime measurements (sec) cor: Phase correction due to uneven distribution of ambient noise (s). This value is added to traveltime to correct for the phase delay. # sta_info.csv This file lists name, longitude and latitude of the stations used in this study. # NCFs_p1.tar.gz, NCFs_p2.tar.gz `NCFs_p1.tar.gz` includes NCFs between seismic stations deployed in phase 1. `NCFs_p2.tar.gz` includes NCFs between seismic stations deployed in phase 2. Here is a reference python code for extracting cross-correlation function and related metadata from the h5 files: ```Python import pyasdf ds = pyasdf.ASDFDataSet(path_to_h5file, mode='r') ad = ds.auxiliary_data['Allstack_rmss']['ZZ'] # Read delta dt = ad.parameters['dt'] # Read location of receiver and virtual source lonr, latr = ad.parameters['lonR'], ad.parameters['latR'] lons, lats = ad.parameters['lonS'], ad.parameters['latS'] # Read time domain cross-correlation function data = ad.data ```