2024-03-28T15:12:24Z
https://oai.datacite.org/oai
doi:10.13127/instance
2024-02-16T13:38:52Z
WNGN
CRUI.INGV
4
CRUI.INGV
10.13127/INSTANCE
Michelini, Alberto
Alberto
Michelini
https://orcid.org/0000-0001-6716-8551
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Cianetti, Spina
Spina
Cianetti
https://orcid.org/0000-0002-0690-7274
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Gaviano, Sonja
Sonja
Gaviano
https://orcid.org/0000-0003-3481-2923
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Giunchi, Carlo
Carlo
Giunchi
https://orcid.org/0000-0002-0174-324X
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Jozinović, Dario
Dario
Jozinović
https://orcid.org/0000-0001-7443-3915
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Lauciani, Valentino
Valentino
Lauciani
https://orcid.org/0000-0002-9672-7428
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
INSTANCE The Italian Seismic Dataset For Machine Learning
INSTANCE
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
2021
seismic waveforms and associated metadata
machine learning
big data
seismic event detection
ground motion estimation
analysis benchmarking
seismic tomography
Cianetti, Spina
Spina
Cianetti
https://orcid.org/0000-0002-0690-7274
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Giunchi, Carlo
Carlo
Giunchi
https://orcid.org/0000-0002-0174-324X
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Gaviano, Sonja
Sonja
Gaviano
https://orcid.org/0000-0003-3481-2923
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Jozinović, Dario
Dario
Jozinović
https://orcid.org/0000-0001-7443-3915
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Lauciani, Valentino
Valentino
Lauciani
https://orcid.org/0000-0002-9672-7428
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Michelini, Alberto
Alberto
Michelini
https://orcid.org/0000-0001-6716-8551
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
https://ror.org/00qps9a02
2005-01-01/2020-01-31
2021-03
en
http://eida.ingv.it
10.13127/iside
10.13127/sd/x0fxnh7qfy
10.13127/sd/fbbbtdtd6q
10.7914/sn/ac
10.7914/sn/gu
10.7914/sn/ni
10.7914/sn/ot
10.7914/sn/ox
10.7914/sn/rf
10.7914/sn/st
10.13127/sd/ku7xm12yy9
10.13127/sd/7txegdo5x8
10.13127/sd/fir72chywu
http://isnet.unina.it/
https://www.fdsn.org/networks/detail/SI/
https://www.fdsn.org/networks/detail/BA/
https://www.fdsn.org/networks/detail/TV/
https://www.fdsn.org/networks/detail/ZM_2017/
10.7914/sn/hl
500 GB
text/csv
application/x-hdf5
CC BY 4.0
INSTANCE is a data collection of more than 1.3 million seismic waveforms originating from a selection of about 54,000 earthquakes occurred since 2005 in Italy and surrounding regions and seismic noise recordings randomly extracted from event free time windows of the continuous waveforms archive. The purpose is to provide reference datasets useful to develop and test seismic data processing routines based on machine learning and deep learning frameworks. The primary source of this information is ISIDe (Italian Seismological Instrumental and Parametric Data-Base) for earthquakes and the Italian node of EIDA (http://eida.ingv.it) for seismic data. All the waveforms have been sized to a 120 s window, preprocessed and resampled at 100 Hz. For each trace we provide a large number of parameters as metadata, either derived from event information or computed from trace data. Associated metadata allow for the identification of the source, the station, the path travelled by seismic waves and assessment of the trace quality. The total size of the data collection is about 330 GB. Waveforms files are available either in counts or ground motion units in hdf5 format to facilitate fast access from commonly used machine learning frameworks.
Italy
Italy
5
19
35
49
European Commission (EC)
https://ror.org/00k4n6c32
ECHO/SER/2015/722144
ARISTOTLE - All Risk Integrated System Towards the Holistic Early-Warning
Ministero dell'Istruzione, dell'Università e della Ricerca (MIUR)
https://ror.org/0166hxq48
Pianeta Dinamico: Geoscienze per la comprensione dei meccanismi di funzionamento della Terra e dei conseguenti rischi naturali