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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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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