A Waveform Dataset in Continuous Mode of the Montefeltro Seismic Network (MF) in Central-Northern Italy from 2018 to 2020
Author(s)
Language
English
Obiettivo Specifico
4T. Sismicità dell'Italia
Status
Published
JCR Journal
JCR Journal
Journal
Issue/vol(year)
12/7(2022)
ISSN
2306-5729
Electronic ISSN
2306-5729
Publisher
MDPI
Pages (printed)
169
Date Issued
2022
Abstract
The Montefeltro seismic network (FDSN Network code: 1S) was deployed in the Apennines
area of northern Marche and southern Emilia-Romagna regions (central Italy). A temporary network
was set up in December 2018 and continues to operate, with an array consisting of stations equipped
with dynamic digitizers and three-component short/extended/broad band seismometers (Guralp
CMG/20s and 30s, Lennartz 3D/5s, Sara SS20 3D/0.5s sensors). The network records in continuous
mode at 100 sps. The data are used to analyze the seismic activity and the spatiotemporal evolution of
small seismic sequences occurring in the considered area and surrounding zones, strongly clustered
in time and space. The data of dataset files are mini-seed formatted and subdivided by the following
tree: (1) the dataset is divided by years; (2) the dataset is then subdivided by stations; (3) finally, the
data are divided by days of each year in every station folder.
area of northern Marche and southern Emilia-Romagna regions (central Italy). A temporary network
was set up in December 2018 and continues to operate, with an array consisting of stations equipped
with dynamic digitizers and three-component short/extended/broad band seismometers (Guralp
CMG/20s and 30s, Lennartz 3D/5s, Sara SS20 3D/0.5s sensors). The network records in continuous
mode at 100 sps. The data are used to analyze the seismic activity and the spatiotemporal evolution of
small seismic sequences occurring in the considered area and surrounding zones, strongly clustered
in time and space. The data of dataset files are mini-seed formatted and subdivided by the following
tree: (1) the dataset is divided by years; (2) the dataset is then subdivided by stations; (3) finally, the
data are divided by days of each year in every station folder.
Type
article
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