Published July 17, 2022 | Version 1.0
Dataset Open

Seismic dataset. Mt. Etna, November, 2013.

  • 1. Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa, via Cesare Battisti, 53, 56125, Pisa, Italy.
  • 2. Department of Theoretical Physics and Cosmos. Science Faculty. Avd. Fuentenueva s/n. University of Granada. 18071. Granada. Spain.
  • 3. Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania - Osservatorio Etneo, Piazza Roma, 2, 95125, Catania, Italy.
  • 4. Department of Signal Theory, Telematics and Communication. University of Granada. Informatics and Telecommunication School. 18071. Granada. Spain.
  • 5. Institute of the Earth's Crust SB RAS, Lermontova 128, Irkutsk, Russia

Description

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 “A successful short-term volcanic eruption forecasting using seismic features”

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 <100 microseconds to UTC.

 

 

Acknowledgment:

This dataset is part of the paper “A successful short-term volcanic eruption forecasting using seismic features”, 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”.

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