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

Authors: Lapins, Sacha;

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

Abstract

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, 2021; https://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

{"references": ["Lapins et al., 2021. A Little Data Goes A Long Way: Automating Seismic Phase Arrival Picking at Nabro Volcano With Transfer Learning"]}

Related Organizations
Keywords

Nabro, Machine learning, Volcanology, Phase arrival detection, Seismology, Dataset

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