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Title: Dataset Of The Seismic Noise Measurements Performed From 2009 To 2012 In Subequana Valley (Central Italy)      
dateReleased:
03-23-2017
privacy:
information not avaiable
aggregation:
instance of dataset
dateCreated:
03-21-2017
refinement:
raw
ID:
doi:10.5281/ZENODO.376573
creators:
Ladina, Chiara
Marzorati, Simone
Falcucci, Emanuela
Gori, Stefano
availability:
available
types:
other
description:
Use is free for scientific purposes, provided the aforementioned reference is appropriately cited. The dataset represents the seismic noise measurements performed in Subequana Valley (central Italy) and used in the publication “Gori, S., Falcucci, E., Ladina, C., Marzorati, S., and Galadini, F.: Active faulting, 3-D geological architecture and Plio-Quaternary structural evolution of extensional basins in the central Apennine chain, Italy, Solid Earth, 8, 319-337, doi:10.5194/se-8-319-2017, 2017”. The measurements are archived in SAC format (http://ds.iris.edu/files/sac-manual/manual/file_format.html”). Each SAC file contains information on the measurement parameters. Main header fields: delta: sampling (s) stla: measurement latitude (°N) stlo: measurement longitude (°E) stel: measurement elevation (m a.s.l.) user0: sensor sensitivity (V/m/s) user1: datalogger sensitivity (µV/count) kstnm: measurement code kevnm: experiment name kuser0: gain kuser1: unit of measure kuser2: type of the sensor kcmpnm: seismic channel knetwk: network code of the experiment kinst: type of the datalogger Description of files: - CSVnoise_fromCV35_toCV87.zip: the archive of SAC files relative to noise measurements from CV35 to CV87 - CSVnoise_fromCV90_toC119.zip: the archive of SAC files relative to noise measurements from CV90 to C119 - CSVnoise_fromC120_toC218.zip: the archive of SAC files relative to noise measurements from C120 to C218
accessURL: https://doi.org/10.5281/ZENODO.376573
storedIn:
Zenodo
qualifier:
not compressed
format:
HTML
accessType:
landing page
authentication:
none
authorization:
none
abbreviation:
ZENODO
homePage: https://zenodo.org/
ID:
SCR:004129
name:
ZENODO

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