University of Padua

Deep shear wave velocity model of the Venice lagoon from seismic noise interferometry (8th of July - 28th of October 2023 Dataset)

Barone, Ilaria and Silvia, De Marchi and Piero, Poli and Jacopo, Boaga (2026) Deep shear wave velocity model of the Venice lagoon from seismic noise interferometry (8th of July - 28th of October 2023 Dataset). [Data Collection]

Related items (publications; dataset)

Collection description

Passive seismic data recorded by a temporary station located in San Servolo (Venice lagoon, Italy) between the 8th of July 2023 and the 28th of October 2023. The data refers to the vertical component and has been resampled at 20 Hz. Each file contains one day of recording.

DOI: 10.25430/researchdata.cab.unipd.it.00001856
Keywords: Passive seismic, Venice
Subjects: Physical:Sciences and Engineering > Earth System Science: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management > Geology, tectonics, volcanology
Physical:Sciences and Engineering > Earth System Science: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management > Physics of earth's interior, seismology, volcanology
Department: Departments > Dipartimento di Geoscienze
Depositing User: Ilaria Barone
Date Deposited: 29 Jun 2026 07:14
Last Modified: 28 Sep 2026 06:24
Creators/Authors:
CreatorsEmailORCID
Barone, Ilariailaria.barone@unipd.itorcid.org/0000-0002-9881-6299
Silvia, De Marchisilvia.demarchi.5@studenti.unipd.itUNSPECIFIED
Piero, Polipiero.poli@unipd.itorcid.org/0000-0002-6493-5142
Jacopo, Boagajacopo.boaga@unipd.itorcid.org/0000-0001-8588-3962
Type of data: Database
Collection period:
FromTo
8 July 202328 October 2023
Resource language: English
Metadata language: English
Publisher: Research Data Unipd
Related items (publications; dataset):
Date: 26 June 2026
Copyright holders: The Authors
URI: https://researchdata.cab.unipd.it/id/eprint/1856

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Data

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