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High-resolution seismic data acquired at six Southern California Seismic Network (SCSN) recording stations in 2017

Metadata Updated: July 6, 2024

In August 2017, the U.S. Geological Survey acquired high-resolution P- and S-wave seismic data near six Southern California Seismic Network (SCSN) recording stations in southern California: CI.OLI Olinda; CI.SRN Serrano; CI.MUR Murrieta; CI.LCG La Cienega; CI.RUS Rush; and CI.STC Santa Clara (Figure 1). These strong-motion recording stations are located inside Southern California Edison electrical substations, critical infrastructures that provide essential services to millions of customers. The primary goals of the seismic survey were to understand the potential for amplified ground shaking and to evaluate lateral variability in shear-wave velocity at these sites. We deployed up to 88 geophones at 2-m or 4-m spacing along seven linear profiles surrounding the stations and collocated P- and S-wave sources at ~1-m offset from the geophones. We generated P waves using three types of active sources: a 226-kg vertical accelerated weight-drop (AWD), a 3.5-kg sledgehammer and steel plate combination, and a 2.7-kg hammer and steel plate combination. Active-source S-waves were generated by horizontally striking an aluminum block with a 3.5-kg sledgehammer and by striking a 45-angle aluminum block with a 45°-angle AWD. We first deployed vertical-component geophones (40-Hz, SercelTM L40A, sensitivity of 22.34 volts/meter/second) to record P-wave shots, after which the vertical-component geophones were replaced with horizontal-component geophones (4.5-Hz, SercelTM L28-LBH, sensitivity of 31.3 volts/meter/second) to record S-wave shots. All data were recorded using up to two 60-channel Geometrics Stratavisor NX-60TM seismographs with 24-bit analog-to-digital converters. The seismographs were connected to the geophones via refraction cables. Each shot was recorded at a 0.5-ms sampling rate for two seconds, with data recording starting 100 ms before the actual time of the shot. Ambient noise data were recorded with vertical-component geophones at a 2-ms sampling rate for 120 seconds. This report provides the metadata needed to utilize the seismic data.
Acknowledgements: Keith Galvin, Koichi Hayashi, Dan Langermann, Tony Martin, Devin McPhillips, Ian Richardson, David Saucedo-Green, Luther Strayer, Nathan Suits, and Alan Yong Reference: Subcommittee of the SEG Engineering and Groundwater Geophysics Committee, Pullan, S. E., Chairman, 1990, Recommended standard for seismic (/radar) data files in the personal computer environment: Geophysics, vol. 55, no. 9, p. 1260-1271.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
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Identifier USGS:6143d775d34e0df5fb951b77
Data Last Modified 20210929
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id b9f5dac3-39be-48c4-924b-6ae82dc584d4
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -119.25109863181,33.396687019869,-117.02087402253,34.349877882626
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash c5aeb6c22c68c8867f2ba7a2b460aaf4f6a958ab2e4194655901650c08da3d44
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -119.25109863181, 33.396687019869, -119.25109863181, 34.349877882626, -117.02087402253, 34.349877882626, -117.02087402253, 33.396687019869, -119.25109863181, 33.396687019869}

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