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Dataset and 3D Vs Model for "Crustal velocity images of north-western Türkiye along the North Anatolian Fault Zone from transdimensional Bayesian ambient seismic noise tomography"

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NIAID Data Ecosystem2026-03-14 收录
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https://zenodo.org/record/7645202
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资源简介:
Final 3D Vs model and dispersion data for the paper entitled "Crustal velocity images of north-western Türkiye along the North Anatolian Fault Zone from transdimensional Bayesian ambient seismic noise tomography". In the vel_files folder, there are 10 files for each depth for 1-15 km. The format of each velocity file is as follows: Column     Value 1                Lattitude (°) 2                Longitude (°) 3                Vs (km/s) The format of the dispersion data is as follows (See Computer Programs in Seismology Tutorials - do_mft for more information on the format): Column     Value 1                Type of file, MFT96 2                Wave type: R for Rayleigh  3                Dispersion type:  U for group velocity 4                Mode: 0 represents the fundamental mode 5                Filter period, T,  in seconds 6                Dispersion value, either group or phase 7                Error in dispersion. This is just a place holder since there is no way to estimate an error from a single trace. The group velocity error is determined from the ratio of the filter period to travel time 8                Distance in km 9                Azimuth from the source to the receiver 10              Spectral amplitude.  11              Epicenter latitude  12              Epicenter longitude 13              Station latitude 14              Station longitude 15              control flag 16              control flag 17              Instantaneous period if this is preferred. This differs from the ilter period because the signal spectram is not flat. 18              Comment:    keyword 19              Station          20              Component 21              Year 22              Day of year 23              Hour 24              Minute    - these identify the event origin time
创建时间:
2023-02-17
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