Articles | Volume 13, issue 12
https://doi.org/10.5194/essd-13-5509-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-5509-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
30 Nov 2021
Data description paper |
| 30 Nov 2021
| 30 Nov 2021
INSTANCE – the Italian seismic dataset for machine learning
Alberto Michelini
CORRESPONDING AUTHOR
Istituto Nazionale di Geofisica e Vulcanologia, via di Vigna Murata, 605, 00143 Rome, Italy
Spina Cianetti
Istituto Nazionale di Geofisica e Vulcanologia, via Cesare Battisti, 53, Pisa, Italy
Sonja Gaviano
Dipartimento di Scienze della Terra, Unversità degli Studi di Firenze, Via La Pira 4, Florence, Italy
Istituto Nazionale di Geofisica e Vulcanologia, via Cesare Battisti, 53, Pisa, Italy
Carlo Giunchi
Istituto Nazionale di Geofisica e Vulcanologia, via Cesare Battisti, 53, Pisa, Italy
Dario Jozinović
Istituto Nazionale di Geofisica e Vulcanologia, via di Vigna Murata, 605, 00143 Rome, Italy
Dipartimento di Scienze, Unversità degli Studi Roma Tre, Largo San Leonardo Murialdo 1, Rome, Italy
Valentino Lauciani
Istituto Nazionale di Geofisica e Vulcanologia, via di Vigna Murata, 605, 00143 Rome, Italy
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This study describes two hands-on outreach events: an interactive lesson for high-school students during European Researchers’ Night and a tsunami experiment at Lucca Comics & Games. Surveys showed both groups enjoyed the activities, boosted their grasp of geoscience ideas and grew more positive about science. The work emphasizes the effectiveness of quantitative experiment demonstrations and the need to adapt them to the audience, time available and clear educator coordination.
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Seismic noise from wind farms can disturb nearby sensitive instruments. We examine the noise of Italy's largest wind farm, located near the proposed site for the third-generation gravitational wave detector. We find that seismic noise is considerable and can be detected up to 13 km distance. Seismic sensors placed at ∼ 250 m depth confirm an excellent level of noise suppression; however, small disturbances in the recorded spectra are detectable when the wind park operates at full capacity.
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Short summary
We present a dataset consisting of seismic waveforms and associated metadata to be used primarily for seismologically oriented machine-learning (ML) studies. The dataset includes about 1.3 M three-component seismograms of fixed 120 s length, sampled at 100 Hz and recorded by more than 600 stations in Italy. The dataset is subdivided into seismograms deriving from earthquakes (~ 1.2 M) and from seismic noise (~ 130 000). The ~ 54 000 earthquakes range in magnitude from 0 to 6.5 from 2005 to 2020.
We present a dataset consisting of seismic waveforms and associated metadata to be used...
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