Seismoelectric and electroseismic datasets for a shallow or ground surface source
Creators: name: Zheng, Xu-Zhen
name: Ren, Hengxin
name: Butler, Karl E.
name: Zhang, Haiming
name: Sun, Yao‐Chong
name: Zhang, Wei
name: Huang, Qinghua
name: Chen, Xiaofei
Publisher: name: Zenodo
Year: 2023
Subjects: subject: Earth and space sciences
subject: Numerical Simulation
subject: Electrokinetic Effect
subject: Evanescent Seismoelectric wave
subject: Evanescent Electroseismic wave
subject: ground surface source
subject: slow convergence problem
subject: Space and Planetary Science
subject: Earth and Planetary Sciences (miscellaneous)
subject: Geochemistry and Petrology
subject: Geophysics
subject: FOS: Earth and related environmental sciences

description: The datasets are numerical modelling results of seismoelectric and electroseismic wave-fields computed by the updated algorithm which combines the Luco-Apsel-Chen generalized reflection and transmission coefficient method (GRTM) and the peak-trough averaging method (PTAM) for a shallow or ground surface source. In addition, the code of the peak-trough averaging method (PTAM) adopted in seismoelectric or electroseismic modelling is cleaned up into a separate Matlab package (named SE_PTAM) and uploaded, which can be easily transplanted into the seismoelectric or electroseismic modelling algorithms based on reflectivity methods (e.g., Garambois &amp; Dietrich, 2002; Grobbe et al., 2016; Haartsen &amp; Pride, 1997; Ren et al., 2010a).
description: The datasets are divided into 5 parts: DataSets S1 to S5, which include all the data presented in the seismoelectric and electroseismic modelling for a shallow or ground surface source. The three GIF files, display the propagation animations of the electroseismic wave-fields computed by considering the peak frequency of the Ricker wavelet to be fp=800 Hz, fp=80 Hz, and fp=400 Hz, respectively. The amplitudes of the animations of the electroseismic wave-fields for fp=80 Hz and fp=400 Hz cases are adjusted by multiplying the third power of the distance between the receiver and the projection point of the electric current source on the first subsurface interface in an effort to improve the visibility of relatively weaker signals. The corresponding snapshots are displayed in Figures 6, 8, and 9 of the manuscript, respectively. The "readme.txt" file is presented as a guide to the datasets and three GIF files. The uploaded PTAM code contains three MATLAB files, i.e., the main function "SE_PTAM.m", the subfunctions "SE_exact.m" and "SE_ram.m". Funding provided by: National Natural Science Foundation of China<br>Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809<br>Award Number: 41974081Funding provided by: National Natural Science Foundation of China<br>Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809<br>Award Number: 42022027Funding provided by: National Natural Science Foundation of China<br>Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809<br>Award Number: 41874082
description: The datasets are computed by the updated algorithm which combines the Luco-Apsel-Chen generalized reflection and transmission coefficient method (GRTM) and the peak-trough averaging method (PTAM).