Published December 5, 2022 | Version 1.1
Dataset Open

Nabro volcano event catalogue from Lapins et al., 2021, JGR Solid Earth

  • 1. University of Bristol

Description

Catalogue of seismic events from Nabro volcano (Sep 2011 - Oct 2012). Data format is a csv file.

Events were detected by U-GPD phase arrival picking model. See following paper for details on event detection and location procedure: A Little Data Goes A Long Way Way: Automating Seismic Phase Arrival Picking at Nabro Volcano With Transfer Learning by Lapins et al., 2021, https://doi.org/10.1029/2021JB021910).

Original seismic waveforms are from the Nabro Urgency Array (Hammond et al., 2011; https://doi.org/10.7914/SN/4H_2011), which is publicly available through IRIS Data Services (http://service.iris.edu/fdsnws/dataselect/1/). See Hammond et al. (2011) for further details on waveform data access and availability.

Full code to reproduce our U-GPD transfer learning model, perform model training, run the U-GPD model over continuous sections of data and use model picks to locate events in NonLinLoc (Lomax et al., 2000) are available at https://github.com/sachalapins/U-GPD, with the release (v1.0.0) associated with this study also archived and available through Zenodo (Lapins, 2021https://doi.org/10.5281/zenodo.4558121).

 

Dataset column key:

time = Origin time of seismic event (UTC)

lat = Hypocentre latitude in decimal degrees

lon = Hypocentre longitude in decimal degrees

depth = Hypocentre depth in km

rms = RMS error for phase arrival picks and hypocentre (sec)

erh = Estimate of horizontal Gaussian error (km)

erz = Estimate of vertical Gaussian error (km)

azgap = Azimuthal gap (maximum angle separating two adjacent seismic stations, measured from earthquake epicentre)

cluster = HDBSCAN cluster number (see Chapter 6 of Lapins, 2021 doctoral thesis: Detecting and characterising seismicity associated with volcanic and magmatic processes through deep learning and the continuous wavelet transform. Persistent URL: https://hdl.handle.net/1983/ea90148c-a1b2-47ae-afad-5dd0a8b5ebbd)

nab*_p_time = P-wave arrival time for station NAB* (UTC)

nab*_p_prob = Maximum detection 'probability' around P-wave phase arrival from U-GPD model (between 0 and 1)

nab*_s_time = S-wave arrival time for station NAB* (UTC)

nab*_s_prob = Maximum detection 'probability' around S-wave phase arrival from U-GPD model (between 0 and 1)

 

Station csv column key:

Network = Seismic network name

Station = Seismic station name

Latitude = Latitude in decimal degrees

Longitude = Longitude in decimal degrees

Elevation_asl_km = Station elevation in km above sea level

Files

nabro_locs_picks_originalvel.csv

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Additional details

Related works

Is supplement to
Journal article: 10.1029/2021JB021910 (DOI)

Funding

GW4+ - a consortium of excellence in innovative research training NE/L002434/1
UK Research and Innovation

References

  • Lapins et al., 2021. A Little Data Goes A Long Way: Automating Seismic Phase Arrival Picking at Nabro Volcano With Transfer Learning