Published December 27, 2023
| Version v1
Dataset
Open
Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada
Authors/Creators
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1.
University of Calgary
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2.
Geological Survey of Canada
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3.
University of Alberta
Description
Two catalogs are provided as part of the publication "Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada", in The Seismic Record.
Catalog_PR_EQTransformer_TSR.csv was produced using PhaseNet (Zhu and Beroza, 2018); Catalog_PR_PhaseNet_TSR.csv was produced using EQTransformer (Mousavi et al., 2020). The files contain the following columns:
- UTCDateTime: UTC Date and Time of detected event
- NLL_Ev_Lat_Deg: Event Latitude in decimal degrees
- NLL_Ev_Long_Deg: Event Longitude in decimal degrees
- NLL_Ev_Z_km: Event Depth in kilometers
- NLL_Ev_Lat_err: Event Latitude Error in kilometers
- NLL_Ev_Long_err: Event Longitude Error in kilometers
- NLL_Ev_Z_err: Event Depth Error in kilometers
- Calibrated_Ml: Calibrated local magnitude
Hypocenter locations and associated errors were calculated using NonLinLon (Lomax et al.. 2000; 2009) using the velocity model provided in Schultz et al., 2023. Magnitudes were calculated using Babaie-Mahani and Kao (2020) and then calibrated (due to incorrect instrument response files) using Salvage et al., 2023.