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Seismic dataset. Mt. Etna, November, 2013. - MaRDI portal

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Seismic dataset. Mt. Etna, November, 2013.

From MaRDI portal



DOI10.5281/zenodo.6849621Zenodo6849621MaRDI QIDQ6722756

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 17 July 2022

Copyright license: No records found.



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 thepaperA successful short-term volcanic eruption forecasting using seismic features, thatwas partially supported by the Spanish FEMALE project (PID2019-106260GB-I00). P. Rey-Devesa was funded by the Ministerio de Ciencia e Innovacin del Gobierno de Espaa (MCIN), Agencia Estatal de Investigacin (AEI), Fondo Social Europeo (FSE), and Programa Estatal de Promocin del Talento y su Empleabilidad en I+D+I Ayudas para contratos predoctorales para la formacin 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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