Detecting repeating earthquakes on the San Andreas Fault with unsupervised machine-learning of spectrograms (supplementary material)
Creators
Description
Supplementary material for Sawi et al., 2023, Detecting repeating earthquakes on the San Andreas Fault with unsupervised machine-learning of spectrograms (The Seismic Record). Catalog of repeating earthquakes in sequences on a 10-km long segment of the San Andreas Fault in California from 1984-2019.
Catalog Header
YR/MO/DY...........Date of event
HR/MN/SC...........Time of event
LAT/LON/DEP........Location of event
EX/EY/EZ...........Relative location uncertainty (in m)
MAG................NCSN magnitude
evID.................NCSN event ID
seqID................Repeating earthquake sequence ID
isRESp............Is quasi-periodic RES (bool)
References:
Sawi T., Waldhauser F., Holtzman B. K., Groebner, N. (2023) Detecting repeating earthquakes on the San Andreas Fault with unsupervised machine-learning of spectrograms. The Seismic Record.
Waldhauser, F., and Schaff, D. P. (2021). A Comprehensive Search for Repeating Earthquakes in Northern California: Implications for Fault Creep, Slip Rates, Slip Partitioning, and Transient Stress. J Geophys Res B Solid Earth, 126(11), 1–22. https://doi.org/10.1029/2021JB022495
Files
TSR_SawiEtAl2023_RES_SUPP.csv
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Additional details
Funding
- U.S. National Science Foundation
- Graduate Research Fellowship Program (GRFP) 2036197
- U.S. National Science Foundation
- National Earthquake Hazards Reduction Program (NEHRP) 0926222
Dates
- Available
-
2023-12-02Published