Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada
<p>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.</p> <p>Catalog_PR_EQTransformer_TSR.csv was produced using PhaseNet (<a title="PhaseNet: a deep-neural-network-based seismic arrival-time picking method" href="https://doi.org/10.1093/gji/ggy423" target="_blank" rel="noopener">Zhu and Beroza, 2018</a>); Catalog_PR_PhaseNet_TSR.csv was produced using EQTransformer (<a title="Earthquake transformer&mdash;an attentive deep-learning model for simultaneous earthquake detection and phase picking" href="https://doi.org/10.1038/s41467-020-17591-w" target="_blank" rel="noopener">Mousavi et al., 2020</a>). The files contain the following columns: </p> <ul> <li><strong>UTCDateTime:</strong> UTC Date and Time of detected event</li> <li><strong>NLL_Ev_Lat_Deg</strong>: Event Latitude in decimal degrees</li> <li><strong>NLL_Ev_Long_Deg</strong>: Event Longitude in decimal degrees</li> <li><strong>NLL_Ev_Z_km:</strong> Event Depth in kilometers</li> <li><strong>NLL_Ev_Lat_err: </strong>Event Latitude Error in kilometers</li> <li><strong>NLL_Ev_Long_err:</strong> Event Longitude Error in kilometers</li> <li><strong>NLL_Ev_Z_err</strong>: Event Depth Error in kilometers</li> <li><strong>Calibrated_Ml:</strong> Calibrated local magnitude</li> </ul> <p>Hypocenter locations and associated errors were calculated using NonLinLon (<a title="Probabilistic Earthquake Location in 3D and Layered Models" href="https://doi.org/10.1007/978-94-015-9536-0_5" target="_blank" rel="noopener">Lomax et al.. 2000</a>; <a title="Earthquake Location, Direct, Global-Search Methods" href="https://doi.org/10.1007/978-3-642-27737-5_150-2" target="_blank" rel="noopener">2009</a>) using the velocity model provided in <a title="Disposal From In Situ Bitumen Recovery Induced the ML 5.6 Peace River Earthquake" href="https://doi.org/10.1029/2023GL102940" target="_blank" rel="noopener">Schultz et al., 2023</a>. Magnitudes were calculated using <a title="Determination of Local Magnitude for Induced Earthquakes in the Western Canada Sedimentary Basin: An Update" href="https://csegrecorder.com/articles/view/determination-of-local-magnitude-for\-induced-earthquakes-in-the-wcsb" target="_blank" rel="noopener">Babaie-Mahani and Kao (2020)</a> and then calibrated (due to incorrect instrument response files) using <a title="Induced or Natural? Toward Rapid Expert Assessment, with Application to the Mw 5.2 Peace River Earthquake Sequence" href="https://doi.org/10.1785/0220230289" target="_blank" rel="noopener">Salvage et al., 2023.</a> </p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 0