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Seismic dataset. Mt. Etna, November, 2013.

<p>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>&ldquo;A successful short-term volcanic eruption forecasting using seismic features&rdquo;</em>.&nbsp;</p> <p>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.</p> <p>The EBEM station was equipped with a Lennartz LE-3D/20s&nbsp;(T=20s) 3 components, with flat frequency response of 0.05 - 50 Hz (<a href="https://www.nanometrics.ca/products/seismometers">https://www.lennartz-electronic.de/wp-content/uploads/2021/04/Lennartz-SeismometerManual.pdf</a>).</p> <p>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.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>Acknowledgment:</p> <p>This dataset is part of the&nbsp;paper&nbsp;<em>&ldquo;A successful short-term volcanic eruption forecasting using seismic features&rdquo;</em>, that&nbsp;was partially supported by the Spanish FEMALE project (PID2019-106260GB-I00). P. Rey-Devesa was funded by the Ministerio de Ciencia e Innovaci&oacute;n del Gobierno de Espa&ntilde;a (MCIN), Agencia Estatal de Investigaci&oacute;n (AEI), Fondo Social Europeo (FSE), and Programa Estatal de Promoci&oacute;n del Talento y su Empleabilidad en I+D+I Ayudas para contratos predoctorales para la formaci&oacute;n 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 &ldquo;Fondo finalizzato al rilancio degli investimenti delle amministrazioni centrali dello Stato e allo sviluppo del Paese, legge 145/2018&rdquo;.</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

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