DOI: 10.5061/dryad.0vt4b8h4m
title: Data from: 3D shear-wave velocity model of central Makran using ambient-noise adjoint tomography

description: 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
 continental crust of ~40 km with a thick sedimentary cover of ~20 km for
 the eastern part of Jaz Murian Depression. The presence of a NE-SW
 trending low-velocity region at a depth interval of 40-60 km subparallel
 with the trend of the volcanic arc, intermediate-depth earthquakes, and
 geometry of the overriding plate might be related to the trend of the
 buried trench. This implies that the observed NE-SW trending volcanic arc
 might be related to the geometry of the buried trench and not the eastward
 reduction of the subduction angle.
description: 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
description: 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/  <br>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 <br>r filename.sac \n <br>p \n <br>lh \n<br>q \n  <br>As a python user one can perform following thing to see .sac files contents: pip install obspy import obspy<br>from obspy import read # Replace 'your_file_path.sac' with the actual path to your SAC file<br>file_path = 'your_file_path.sac' # Read the SAC file<br>st = read(file_path) # Print the header information<br>print("Header information:")<br>print(st[0].stats) # Plot the signal trace<br>st.plot()<br>Just replace 'your_file_path.sac' with the actual path to your SAC file, and then run the script. It will read the SAC file, print its header information, and display a plot of the signal trace.
description: 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\_T008\_T020:
 Adjoint sources for the final model for the period band of 8-20 seconds.
 These adjoint sources are functions that are constructed by the time
 derivative of synthetic waveforms weighted by misfit values calculated
 between synthetic and empirical green functions and reversed in the time
 domain. Adjoint sources are time-dependent signals and each file contains
 two columns of time and amplitude of signal. ADJOINT\_SOURCES\_T015\_T030:
 Adjoint sources for the final model for the period band of 15-30 seconds.
 ADJOINT\_SOURCES\_T025\_T050: Adjoint sources for the final model for the
 period band of 25-50 seconds. ADJOINT\_SOURCES : This directory contains
 the name and the location of used stations for constructing adjoint
 sources The following contents are in .sac format. 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/ DATA: Empirical green
 functions for each station M00\_SYN: Synthetic green function built using
 Initial model M21\_SYN: Synthetic green function built using Final model
 (not smoothed version of the final model) 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 \\n q \\n As a
 python user one can perform following thing to see .sac files contents:
 pip install obspy import obspy from obspy import read # Replace
 'your\_file\_path.sac' with the actual path to your SAC file
 file\_path = 'your\_file\_path.sac' # Read the SAC file st =
 read(file\_path) # Print the header information print("Header
 information:") print(st[0].stats) # Plot the signal trace st.plot()
 Just replace 'your\_file\_path.sac' with the actual path to your
 SAC file, and then run the script. It will read the SAC file, print its
 header information, and display a plot of the signal trace. A full
 description of sac files headers can be found at:
 http://ds.iris.edu/files/sac-manual/manual/file\_format.html Most of the
 available headers are not required to be filled in the case of the green
 function. Here we summarize some of the important header values that have
 been used in our study as follows: NPTS : number of points B : begin time
 (s) with respect to reference time of signal E : end time (s) Delta: time
 step Depmin: minimum amplitude Depmax: maximum amplitude KZDATE: reference
 time of signal KSTNM : station name (In the case of ambient noise adjoint
 tomography, a station referred to the receiver station) STLA : station
 latitude STLO : station longitude KEVNM : event name (In the case of
 ambient noise adjoint tomography, an event referred to the reference
 station) EVLO : event longitude EVLA : event latitude Dist : epicentral
 distance of station and event Az : azimuth KCMPNM: component (Z N E)
 KNETWK: knetwork name ## Sharing/Access information Links to other
 publicly accessible locations of the data: enayat, mohammad (2023),
 “ambient noise adjoint tomography in makran region ”, Mendeley Data, V2,
 doi: 10.17632/9pb6fjtdgy.2 # reference Irandoust, M. A., Priestley, K.,
 & Sobouti, F. (2022). High‐Resolution Lithospheric Structure of
 the Zagros Collision Zone and Iranian Plateau. Journal of Geophysical
 Research: Solid Earth, 127(11). https://doi.org/10.1029/2022JB025009