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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Preliminary catalogue of High Agri Valley seismicity (southern Italy) recorded by the temporary INSIEME network.

Authors: Stabile, Tony Alfredo; Serlenga, Vincenzo; Satriano, Claudio; Romanelli, Marco; Gueguen, Erwan; Gallipoli, Maria Rosaria; Ripepi, Ermann; +4 Authors

Preliminary catalogue of High Agri Valley seismicity (southern Italy) recorded by the temporary INSIEME network.

Abstract

The preliminary catalogue is a comma-separated values (CSV) file which lists the preliminary location and magnitude estimation of 852 local natural and induced earthquakes occurred between September 2016 and March 2019. The catalogue has been produced with the Origin Locator Viewer (scolv) tool of the software SeisComP3 (https://www.seiscomp3.org) running on the server of the INSIEME seismic network (https://doi.org/10.7914/SN/3F_2016). The information included in this catalogue should be considered preliminary both in terms of earthquake location and local magnitude (ML) estimation. Each row of the CSV file indicates the following source parameters: ORIGIN TIME (UTC), LATITUDE ˚N, LONGITUDE ˚E, DEPTH (KM), MAGNITUDE (ML) --- This file belongs to the Supplement of the article: Stabile, T. A., Serlenga, V., Satriano, C., Romanelli, M., Gueguen, E., Gallipoli, M. R., Ripepi, E., Saurel, J.-M., Panebianco, S., Bellanova, J., and Priolo, E.: The INSIEME seismic network: a research infrastructure for studying induced seismicity in the High Agri Valley (southern Italy), Earth Syst. Sci. Data, https://doi.org/10.5194/essd-2019-113, 2020.

This work has been funded by the INSIEME project of the Italian SIR-MIUR program (grant no. RBSI14MN31)

Keywords

seismic catalogue, southern Italy, High Agri Valley, induced seismicity

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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