The shallowest M>6.0 induced earthquake: A coincidental product of favorably aligned triggering ingredients
- 1. Department of Geological & Environmental Sciences, Hope College, Holland, Michigan, USA
- 2. College of Oceanography, Hohai University, Nanjing, China
- 3. Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Lab of Submarine Geosciences and Prospecting Techniques MOE, College of Marine Geosciences, Ocean University of China, Qingdao, China.
- 4. School of Earth and Space Sciences; Laboratory of Seismology and Physics of Earth's Interior, University of Science and Technology of China, Hefei, China
Description
This repository contains the datasets and results of the joint inversion-based Vp/Vs model consistency constrained double difference seismic tomography carried out for the manuscript titled “The shallowest M>6.0 induced earthquake: A coincidental product of favorably aligned triggering ingredients.” Included are the following: catalog earthquake information (CX_event.dat), relocated events after inversion (CX_tomoDDMC.reloc), inverted Vp model (CX_Vpmodel.dat), inverted Vs model (CX_Vsmodel.dat) and inverted Vp/Vs model (CX_VpVsmodel.dat). The datasets presented in this article are not readily available because we do not have the right to release the waveform data from the regional stations, which have to go through the China Earthquake Administration (CEA) authority. Requests to access the passive seismic data from our local stations should be directed to the corresponding author. TomoDD has been released by the authors through workshops and will soon be available through a repository.
Files
Column_Description_Data_Files.pdf
Files
(8.6 MB)
Name | Size | Download all |
---|---|---|
md5:d35b3d65998a8888501300dc904d3f91
|
149.7 kB | Preview Download |
md5:72990fca4b1fca09dcf37171849e5837
|
2.3 MB | Download |
md5:fd875daa6d3c34bb5943afdd40043d82
|
6.1 MB | Download |
md5:593c2c7c26076268058f90579002bb77
|
51.0 kB | Download |
md5:c83d877f8f4a56fabd5cbfdbad57c983
|
65.5 kB | Download |
md5:7c6791f70a7fd599f610328705252651
|
51.0 kB | Download |