Seismic dataset. Mt. Etna, November, 2013.

  1. Luciano, Zuccarello 1
  2. Ligdamis, Gutiérrez 2
  3. Danilo, Reitano 3
  4. Salvatore, Alparone 3
  5. Danilo, Contrafatto 3
  6. Di Prima Sergio, 3
  7. Graziano, Larocca 3
  8. Salvatore, Rapisarda 3
  9. Luciano, Scuderi 3
  10. Sassano Marco 3
  11. Cappuccio Pasqualino 3
  12. Pablo, Rey-Devesa 2
  13. Carmen, Benítez 4
  14. Ivan, Koulakov 5
  15. Janire, Prudencio 2
  16. Jesús, Ibáñez 2
  17. Ornella, Cocina 3
  1. 1 Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa, via Cesare Battisti, 53, 56125, Pisa, Italy.
  2. 2 Department of Theoretical Physics and Cosmos. Science Faculty. Avd. Fuentenueva s/n. University of Granada. 18071. Granada. Spain.
  3. 3 Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania - Osservatorio Etneo, Piazza Roma, 2, 95125, Catania, Italy.
  4. 4 Department of Signal Theory, Telematics and Communication. University of Granada. Informatics and Telecommunication School. 18071. Granada. Spain.
  5. 5 Institute of the Earth's Crust SB RAS, Lermontova 128, Irkutsk, Russia
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Editorial: Zenodo

Año de publicación: 2022

Tipo: Dataset

DOI: 10.5281/ZENODO.6849620 GOOGLE SCHOLAR lock_openAcceso abierto editor

Resumen

We present a seismic dataset recorded during November 2013 by a 3 components seismic station, called EBEM, belonging to the Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo monitoring network. This dataset is part of a researcher paper <em>“A successful short-term volcanic eruption forecasting using seismic features”</em>. This data repository includes continuous raw waveforms (Z component) in SAC format, and related metadata. The seismic station EBEM was located at an elevation of about 2700 m a.s.l., at a distance of about 1500 m from the South-East Crater. The EBEM station was equipped with a Lennartz LE-3D/20s (T=20s) 3 components, with flat frequency response of 0.05 - 50 Hz (https://www.lennartz-electronic.de/wp-content/uploads/2021/04/Lennartz-SeismometerManual.pdf). Data were sampled at 100 Hz using Nanometrics Trident digital data recorders (https://www.nanometrics.ca). Trident recorders have a resolution of 24 bit (at 100 Hz), and a GPS timing accuracy of &lt;100 microseconds to UTC. Acknowledgment: This dataset is part of the paper <em>“A successful short-term volcanic eruption forecasting using seismic features”</em>, that was partially supported by the Spanish FEMALE project (PID2019-106260GB-I00). P. Rey-Devesa was funded by the Ministerio de Ciencia e Innovación del Gobierno de España (MCIN), Agencia Estatal de Investigación (AEI), Fondo Social Europeo (FSE), and Programa Estatal de Promoción del Talento y su Empleabilidad en I+D+I Ayudas para contratos predoctorales para la formación de doctores 2020 (PRE2020-092719). Ivan Koulakov was supported by the Russian Science Foundation (Grant No. 20-17-00075). Luciano Zuccarello was supported by the INGV Pianeta Dinamico 2021 Tema 8 SOME project (grant no. CUP D53J1900017001) funded by the Italian Ministry of University and Research “Fondo finalizzato al rilancio degli investimenti delle amministrazioni centrali dello Stato e allo sviluppo del Paese, legge 145/2018”.