3D shear-wave velocity model of central Makran using ambient-noise adjoint tomography

The Makran subduction zone is unique in its wide onshore thick accretionary prism, and a volcanic arc not parallel to the E-W trend of the Makran accretionary prism. To investigate the internal structure of the accretionary prism, the crustal nature of Jaz Murian Depression, and the trend of the buried trench we have calculated a 3D shear-wave velocity model for a region around the border between eastern and western Makran using ambient-noise adjoint tomography and data from IASBS/CAM Makran temporary seismic network. In close agreement with previous works, our velocity model shows that the onshore accretionary prism consists of a low-velocity zone in the south and a high-velocity zone in the north with an average thickness of accreted sediments of 22 and 30 km, respectively. The young age of the surface rocks of the high-velocity part of the prism suggests the presence of a significant volume of igneous rocks scraped from the subducting oceanic slab. The velocity model indicates a cont..., The dataset is related to Makran IASBS/CAMB temporary seismic network. The network worked during June 2016 to Sep 2020. The network was installed by Institute for Advanced studies in Basic Sciences, Zanjan, Iran (iasbs.ac.ir). The data comprises of the following items,
1) Ambient noise green functions between all possible stations used in the study
2) Initial and final 3D shear-velocity model
3) Adjoint sources for the final iteration, Sac files are well-known seismic file formats and their content can be accessed by different programming languages like Python (using obspy package) and also by the Seismic Analysis Code (SAC) software represented on the IRIS web page. To download the sac program people need to pull a request to http://ds.iris.edu/ds/nodes/dmc/forms/sac/  
Full manual to sac usage is available at http://ds.iris.edu/files/sac-manual/ 
As a fast guide to review .sac files contents, after installing the SAC program following Linux commands will result in showing the content of each file (\n at the end of the following commands is equal to the enter command in the Linux terminal, r will read sac file, p will plot signal trace and lh will results files related headers):
sac \n r filename.sac \n p \n lh \nq \n 
As a python user one can perform following thing to see .sac files contents:
pip install obspy
import obspyfrom obspy import read
# Replace 'your_file_path.sac' with the actual path to your SAC filefil..., 3D Shear-wave Velocity Model of Central Makran using Ambient-noise Adjoint Tomography Dataset

The dataset includes zip files: Initial\_Model.zip M21\_Final\_Model\_smoothed.zip M21\_Final\_Model.zip RGF.zip
each of them contains files as described below :

Initial\_Model.zip : Initial Model from Irandoust et. al., (2022). A four-column text file with corresponding longitude, latitude, depth (km), and shear wave velocity (km/s).

M21\_Final\_Model.zip : Final refined model of our study. A four-column text file with corresponding longitude, latitude, depth (km), and shear wave velocity (km/s).

M21\_Final\_Model\_smoothed.zip : Final refined model of our study which is horizontally smoothed with 75 km wide Gaussian function (result represented at this study). A four-column text file with corresponding longitude, latitude, depth (km), and shear wave velocity (km/s).

RGF.zip : A directory for each of the 38 stations used in this study that contains the following content:

ADJOINT\_SOURCES...