Landslide seismic features and station picks for events from a global catalog
This data release contains files supporting the publication “Landslide volume estimation from seismic waveform features using a global catalog of seismogenic events” (Collins and others, 2026). Events.csv lists each landslide event used in the publication, published event ids, names, times, locations, and volumes taken from Seismogenic Landslides and other Mass Movements (ver. 3.0, May 2025), and estimated seismic features as described by Collins and others (2026). It additionally includes information about the event’s weighting category and filters used in force inversions. The Regression column of Events.csv notes whether the event was used in the main, 58-event regression (events with long-period detections), the full, 129-event regression (events with and without long-period detections), and/or the 46-event regression (events with a stable force inversion). The event_station_picks folder contains a CSV file for each event used in the regression and the three new events (Gwalpeten, Peters Dome, and Tracy Arm) used for validation. Each CSV file includes all seismic stations within 300 km of the source that detected the event in a high-frequency (1-5 Hz) band and/or long-period (20-100 s) band, and signal start and end times that were manually picked by assessing where the signal rises and falls below the noise level. International Federation of Digital Seismograph Networks (FDSN) data centers for each station are also listed.
References:
Collins, E., Allstadt, K., and Toney, L., 2026, Landslide volume estimation from seismic waveform features using a global catalog of seismogenic events: Seismol. Res. Lett., In Review.
Citation Information
| Publication Year | 2026 |
|---|---|
| Title | Landslide seismic features and station picks for events from a global catalog |
| DOI | 10.5066/P13FCYQO |
| Authors | Elaine A Collins, Kate E Allstadt, Liam D Toney |
| Product Type | Data Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | Geologic Hazards Science Center |
| Rights | This work is marked with CC0 1.0 Universal |