A catalog of associated, machine-learning-derived phase arrival times for ten days of seismic data in the Yellowstone region

This dataset contains the associated phase picks and event information from applying a deep learning phase picker to continuous data recorded over March 25 – April 3, 2014, on 20 three-component stations and 14 vertical-component stations in the Yellowstone region. This 10-day period contains an M_w 4.8 event, the largest earthquake in the Yellowstone region since 1980. The catalog and deep learning phase picker are described in Armstrong et al. (submitted).

The arrivals were associated using the method described by Baker et al. (2021) and located using HypoInverse2000 (Klein, 2002). There are 1,053 events in this catalog, including 855 that were previously unidentified. Events that also appear in the University of Utah Seismograph Stations catalog have an event identifier (evid) beginning with “6”, while new events begin with “9”. 

Columns include:

• A simple event number
• the network, station, channel, and location code for the arrival time
• the arrival time in UTC (arrival_time) and Unix (arrival_time_epoch) format
• any static correction applied to the arrival time
• the P-pick first motion polarity as determined by a machine learning model - up (1), down (-1), or unknown (0)
• the arrival time residual 
• the take off angle in degrees 
• the event latitude and longitude in degrees
• the event depth in km
• the event origin time in UTC (origin_time) and Unix (origin_time_epoch) format
• the azimuthal gap of the event in degrees
• the root mean square error (RMS) of the event location
• the event identifier (evid) - begins with a “6” for events in the UUSS catalog and a “9” for new events