Infrasound recordings from 2021 eruptive episodes of Etna Volcano.
收藏DataCite Commons2025-11-14 更新2026-05-03 收录
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https://figshare.com/articles/dataset/Infrasound_recordings_from_2021_eruptive_episodes_of_Etna_Volcano_/29037734/3
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A six-element infrasound array (CONC) was deployed at Monte Conca on Mt. Etna, Italy, approximately 6 km from the active vents of Etna Volcano, near to a permanent seismic station (EMNC) managed by the Istituto Nazionale di Geofisica e Vulcanologia, osservatorio Etneo (INGV-OE).The CONC array operated from 20 May 2021 until beginning of April 2022. The dataset here submitted includes infrasound recordings in MiniSEED (mseed) format, as well as array processing results in .mat and .csv formats for the period of intense volcanic activity between 20 May and the end of October 2021, including 39 paroxysmal events.The array consists of six IST2018 broadband infrasound sensors developed by ISTerre, Université Savoie Mont Blanc, France. These sensors have a sensitivity of 20 mV/Pa, a frequency response from 60 mHz to 40 Hz, and a full-scale pressure range of ±240 Pa. Each sensor was sampled at 100 Hz using DIGOS DATACUBE<sup>3</sup> digital recorders, which provide an effective resolution of 22.4 bits at 100 Hz and GPS timing accuracy of 1 μs.The geometry features a central element (CONC6), co-located with the seismic station EMCN (INGV-OE), and five additional nodes positioned at the approximate vertices of a pentagon, forming an aperture of about 70 meters. Sensor coordinates are provided below:Channel Latitude (°) Longitude (°) Altitude (m)CONC1 37.79131 15.03355 1869CONC2 37.79119 15.03388 1864CONC3 37.79073 15.03362 1883CONC4 37.79095 15.03392 1875CONC5 37.79108 15.03307 1876CONC6 37.79109 15.03358 1865Array processing was performed using time-domain multi-channel cross-correlation techniques applied to moving windows across all elements. Data were bandpass-filtered between 0.5 and 10 Hz and analyzed using 10-second moving windows with 90% overlap (i.e., 1-second shift). The resulting detections characterize the infrasound wavefield in terms of pressure amplitude, back-azimuth, and apparent velocity.This dataset includes a Jupyter Notebook, <i>Read_plot_mseed.ipynb</i>, designed to read daily MiniSEED (mseed) files and convert them into physical units of pressure (Pascals), as well as a corresponding Python script that performs the same function.This temporary deployment was supported by a collaboration between INGV (Sezione di Pisa (PI) and Osservatorio Etneo (OE)), and the University of Liverpool (UK).
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figshare
创建时间:
2025-11-14



