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Training, Validation and Test Sets for paper 'A Little Data goes a Long Way: Automating Seismic Phase Arrival Picking at Nabro Volcano with Transfer Learning'

Authors: Lapins, Sacha; Goitom, Berhe; Kendall, J-Michael; Werner, Maximilian J.; Cashman, Katharine V.; Hammond, James O. S.;

Training, Validation and Test Sets for paper 'A Little Data goes a Long Way: Automating Seismic Phase Arrival Picking at Nabro Volcano with Transfer Learning'

Abstract

All original seismic data from the Nabro Urgency Array are available through IRIS Data Services (http://service.iris.edu/fdnws/dataselect/1/). See http://www.fdsn.org/networks/detail/4H_2011/ for further details on data access and availability. The data were collected with funding from the Natural Environment Research Council (NERC) project NE/J012297/1 ("Mechanisms and implications of the 2011 eruption of Nabro volcano, Eritrea"). The UK seismic instruments and data management facilities were provided under loan number 976 by SEIS-UK at the University of Leicester. The facilities of SEIS-UK are supported by NERC under Agreement R8/H10/64. Author SL was supported by a GW4+ Doctoral Training Partnership studentship from the Natural Environment Research Council (NERC) [NE/L002434/1]. Author BG was funded by the Engineering and Physical Sciences Research Council (EPSRC) and the School of Earth Sciences at the University of Bristol. Author MJW was funded by UKRI GCRF EP/P028233/1 ("PREPARE") and NERC NE/R017956/1 ("EQUIPT4RISK"). Author JMK was funded by NERC grant NE/R018006/1. Author KVC was supported by the AXA Research Fund. We gratefully acknowledge support from the sponsors of the Bristol University Microseismicity ProjectS (BUMPS) and the NERC Centre for the Observation and Modelling of Earthquakes, volcanoes and Tectonics (COMET). We also gratefully acknowledge the cooperation we received from the Eritrean government, Southern and Northern Red Sea Administrations, local sub-zones and village administrations. We thank the Department of Mines, Ministry of Energy and Mines for their continued support throughout the project. Special thanks go to Zerai Berhe, Mebrahtu Fisseha, Michael Eyob, Ahmed Mohammed, Kibrom Nerayo, Asresehey Ogbatsien, Andemichael Solomon and Isaac Tuum. We thank Alem Kibreab for his vital help in facilitating the fieldwork.

Training, Validation and Test Data for model presented in paper 'A Little Data Goes A Long Way: Automating Seismic Phase Arrival Picking at Nabro Volcano with Transfer Learning', submitted to Journal of Geophysical Research: Solid Earth. Files: - train_events_2498.h5 = training set of seismic waveforms (events with P-/S-wave labelled arrivals only, i.e., no noise waveforms) - train_events_2498.pkl = event training set metadata (UTC P-/S-wave phase arrival times) - train_noise_2498.h5 = training set of seismic waveforms (noise sections only, i.e., no event waveforms) - train_noise_2498.pkl = noise training set metadata (UTC time for training noise waveforms) - val_events.h5 = validation set of seismic waveforms (events with P-/S-wave labelled arrivals only, i.e., no noise waveforms) - val_events.pkl = event validation set metadata (UTC P-/S-wave phase arrival times) - val_noise.h5 = validation set of seismic waveforms (noise sections only, i.e., no event waveforms) - val_noise.pkl = noise validation set metadata (UTC time for validation noise waveforms) - test.h5 = test set of seismic waveforms (events and noise) - test_events.pkl = event test set metadata (UTC P-/S-wave phase arrival times for test event waveforms) - test_noise.pkl = noise test set metadata (UTC time for test noise waveforms) - nabro_2011-247.mseed = 24 hours seismic data from Nabro Urgency Array (2011-09-04), saved in mseed format (e.g., can be read with obspy) - nabro_2011-269.mseed = 24 hours seismic data from Nabro Urgency Array (2011-09-26), saved in mseed format (e.g., can be read with obspy) Further details and code for reading and using these files can be found at the GitHub repo for this paper: https://github.com/sachalapins/U-GPD

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Keywords

validation, training, Chemical Sciences not elsewhere classified, Science Policy, metadata, Automating Seismic Phase Arrival Pi., noise waveforms, Little Data, Marine Biology, Mental Health, noise sections, Space Science, test noise waveforms, Genetics, Long Way, event waveforms, Nabro Volcano, Physical Sciences not elsewhere classified, arrival, Neuroscience, Biological Sciences not elsewhere classified, test event waveforms, UTC

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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