Topographic stress controls, San Bernardino Mountains, CA 2017
공공데이터포털
This dataset, located within the San Bernardino Mountains, CA, was collected as an NCALM Seed grant for Jessica Lin, University of California, Los Angeles, Earth, Planetary, and Space Sciences Department to support an investigation of topographic stress control on subsurface weathered zone and seismic site conditions in southern California. The requested survey area is located approximately 11 km north of San Bernardino, CA. The polygon encloses approximately 62 km2. Note: A considerable percentage of the points in this dataset were classified as "building" (LAS class 6) although visual inspection indicates these points are mostly above-ground vegetation. For the purposes of distribution though OpenTopography, these points have been grouped with "unclassified" (LAS class 1) points to reduce point cloud classification to either "ground" or "unclassified" below.
Little San Bernardino Mountains, Joshua Tree National Park, California
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This dataset was collected as an NCALM Seed grant for PI Ann Hislop, University of Kentucky, for the purpose of studying the tectonic linkage between the San Andreas Fault and the Eastern California Shear Zone, Little San Bernardino Mountains, Joshua Tree National Park, California.
Fault geometry on the Mission Creek-Mill Creek faults, CA 2017
공공데이터포털
This dataset, located within the San Bernardino Mountains, CA, was collected as an NCALM Seed grant for Jesse Waco, San Jose State University, Geology Department to support an investigation of topographic stress control on subsurface weathered zone and seismic site conditions in southern California. The requested survey area is located approximately 25 km northwest of Palm Springs, CA. The polygon encloses approximately 64 km2. Note: A considerable percentage of the points in this dataset were classified as "building" (LAS class 6) although visual inspection indicates these points are mostly above-ground vegetation. For the purposes of distribution through OpenTopography, these points have been grouped with "unclassified" (LAS class 1) points to reduce point cloud classification to either "ground" or "unclassified" below.
Data release for fault activity in the San Gabriel Mountains, USA: insights from landscape morphometrics, erosion rates, and fault-slip rates (ver. 2.0, November 2023)
공공데이터포털
This report summarizes geomorphic data and analysis from the range front of the San Gabriel Mountains, California, USA. For catchment-average erosion rates, we describe the methodology used to collect samples of detrital sediment, determine concentrations of cosmogenic beryllium-10 in purified quartz isolated from the samples, and use those nuclide concentrations to calculate erosion rates. We also describe the methodology for calculating various topographic metrics from previously published lidar topographic data. These metrics include stream channel concavity, normalized channel steepness index, dimensionless hilltop erosion and dimensionless hilltop relief.
Data release for fault activity in the San Gabriel Mountains, USA: insights from landscape morphometrics, erosion rates, and fault-slip rates (ver. 2.0, November 2023)
공공데이터포털
This report summarizes geomorphic data and analysis from the range front of the San Gabriel Mountains, California, USA. For catchment-average erosion rates, we describe the methodology used to collect samples of detrital sediment, determine concentrations of cosmogenic beryllium-10 in purified quartz isolated from the samples, and use those nuclide concentrations to calculate erosion rates. We also describe the methodology for calculating various topographic metrics from previously published lidar topographic data. These metrics include stream channel concavity, normalized channel steepness index, dimensionless hilltop erosion and dimensionless hilltop relief.
Yucaipa Ridge, San Bernardino Mountains, CA
공공데이터포털
This is an NCALM Seed grant (PI David Milodowski, University of Edinburgh, UK) collected for the purpose of studying bio-geomorphic changes along the actively uplifting Yucaipa Ridge, San Bernardino Mountains, CA. The survey area consists of a polygon located 11 km northeast of Yucaipa, California.
High-resolution seismic data acquired at six seismic network recording stations in San Bernardino County, California in 2019
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In May 2019, the U.S. Geological Survey acquired high resolution P- and S-wave seismic data near six seismic network recording stations in San Bernardino County, California: Southern California Seismic Network CI.CLT Calelectic, CI.MLS Mira Loma, CI.CJM Cajon Mountain and CI.HLN Highland; California Strong Motion Instrumentation Program station CE.23542; and US National Strong-Motion Network station NP.5326 (Figure 1). The primary goals of the seismic survey were to better understand the potential for amplified ground shaking, to evaluate lateral variability in shear-wave velocity, and to calculate Vs30 at these sites. We deployed up to 67 DTCC SmartSolo 3-component seismometer systems ("nodes") at 2-m spacing along six linear arrays and collocated P- and S-wave sources at ~1-m offset from the nodes. We generated active-source P-waves using a 3.5-kg sledgehammer and steel plate combination. Active-source S-waves were generated by horizontally striking an aluminum block with a 3.5-kg sledgehammer. SmartSolo nodes are standalone seismometers with 3-component sensors (5-Hz corner frequency and sensitivity of 76.7 volts/meter/second), battery, and built-in GPS to record location and time. The nodes recorded seismic data continuously at a 0.5-ms sampling rate, and shot timing was recorded by GPS event capture hardware to precisely determine the shot times. For some individual surveys, the nodes were buried a few inches below the ground surface to reduce noise. This report provides the metadata needed to utilize the seismic data. Acknowledgements: We thank Garet Huddleston, Dan Langermann, Carolyn Stieban, Zhenning Ma, Luther Strayer, and Chris Green for assistance in data acquisition. Reference: Barry, K.M., Cavers, D.A. and Kneale, C.W., 1975, Recommended standards for digital tape formats: Geophysics, vol. 40, no. 2, p. 344-352.
High-resolution seismic data acquired at northern Año Nuevo, California
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The U.S. Geological Survey acquired high-resolution P- and S-wave seismic data across the Frijoles Fault strand of the San Gregorio Fault Zone (SGFZ) at northern Año Nuevo, California in 2012. SGFZ is a right-lateral fault system that is mainly offshore, and prior studies provide highly variable slip estimates, which indicates uncertainty about the seismic hazard it poses. Therefore, the primary goal of the seismic survey was to better understand the structure and geometry of the onshore section of the Frijoles Fault strand of the SGFZ. We deployed 118 geophones (channels) at 5-m spacing along a linear profile centered on the mapped surface trace of the Frijoles Fault and co-located active P- and S-wave sources at ~1-m offset from the geophones. Channel numbers increase from west to east along the profile. We generated P-waves using either a seisgun (www.utep.edu/science/ssf/Manuals/betsy_seisgun.pdf, accessed August 2022) or an accelerated weight-drop and S-waves by horizontally striking an aluminum block on both sides with a sledgehammer. We first deployed vertical-component geophones (40-Hz, SercelTM L40A, sensitivity of 22.34 volts/meter/second) to record P-wave sources, after which we replaced the vertical-component geophones with horizontal-component geophones (4.5-Hz, SercelTM L28-LBH, sensitivity of 31.3 volts/meter/second) to record S-wave sources. Refraction cables connected all geophones to two 60-channel Geometrics Stratavisor NX-60TM seismographs with 24-bit analog-to-digital converters. Each shot was recorded at a 0.5-ms sampling rate for two seconds, with data recording at 100 ms before the actual time of the shot. This data release provides the metadata needed to utilize the seismic data. Data Format and Files We combined each seismic trace for a given shot time into a shot gather, and the traces in each shot gather are ordered by channel numbers (1-118) based on the position of the geophones along the profile. Furthermore, we assigned a unique field number (FFID) to each shot gather, and we combined the shot gathers recorded from both seismographs into two SEG-Y files (Barry et al., 1975), 78023.segy (channels 1 to 60) and marine.segy (channels 61 to 118), which are stored in big-Endian, 4-byte IBM-floating-point format (format code 1). Data samples are in millivolts and can be converted to velocity using the geophone sensitivity values. Metadata for all profiles are contained in two text files and one xml file: PIE12.setup.csv, PIE12.location.csv, and PIE12Metadata.xml. The setup file describes the identification of shots recorded by the two seismographs, channel number, recording stations (geophones), and the source type for both SEG-Y files. The location file describes the channel number, latitude, and longitude of all geophone locations. Reference Barry, K.M., Cavers, D.A., and Kneale, C.W., 1975, Recommended standards for digital tape formats: Geophysics, vol. 40, no. 2, p. 344-352, doi: 10.1190/1.1440530.
High-resolution seismic data acquired at northern Año Nuevo, California
공공데이터포털
The U.S. Geological Survey acquired high-resolution P- and S-wave seismic data across the Frijoles Fault strand of the San Gregorio Fault Zone (SGFZ) at northern Año Nuevo, California in 2012. SGFZ is a right-lateral fault system that is mainly offshore, and prior studies provide highly variable slip estimates, which indicates uncertainty about the seismic hazard it poses. Therefore, the primary goal of the seismic survey was to better understand the structure and geometry of the onshore section of the Frijoles Fault strand of the SGFZ. We deployed 118 geophones (channels) at 5-m spacing along a linear profile centered on the mapped surface trace of the Frijoles Fault and co-located active P- and S-wave sources at ~1-m offset from the geophones. Channel numbers increase from west to east along the profile. We generated P-waves using either a seisgun (www.utep.edu/science/ssf/Manuals/betsy_seisgun.pdf, accessed August 2022) or an accelerated weight-drop and S-waves by horizontally striking an aluminum block on both sides with a sledgehammer. We first deployed vertical-component geophones (40-Hz, SercelTM L40A, sensitivity of 22.34 volts/meter/second) to record P-wave sources, after which we replaced the vertical-component geophones with horizontal-component geophones (4.5-Hz, SercelTM L28-LBH, sensitivity of 31.3 volts/meter/second) to record S-wave sources. Refraction cables connected all geophones to two 60-channel Geometrics Stratavisor NX-60TM seismographs with 24-bit analog-to-digital converters. Each shot was recorded at a 0.5-ms sampling rate for two seconds, with data recording at 100 ms before the actual time of the shot. This data release provides the metadata needed to utilize the seismic data. Data Format and Files We combined each seismic trace for a given shot time into a shot gather, and the traces in each shot gather are ordered by channel numbers (1-118) based on the position of the geophones along the profile. Furthermore, we assigned a unique field number (FFID) to each shot gather, and we combined the shot gathers recorded from both seismographs into two SEG-Y files (Barry et al., 1975), 78023.segy (channels 1 to 60) and marine.segy (channels 61 to 118), which are stored in big-Endian, 4-byte IBM-floating-point format (format code 1). Data samples are in millivolts and can be converted to velocity using the geophone sensitivity values. Metadata for all profiles are contained in two text files and one xml file: PIE12.setup.csv, PIE12.location.csv, and PIE12Metadata.xml. The setup file describes the identification of shots recorded by the two seismographs, channel number, recording stations (geophones), and the source type for both SEG-Y files. The location file describes the channel number, latitude, and longitude of all geophone locations. Reference Barry, K.M., Cavers, D.A., and Kneale, C.W., 1975, Recommended standards for digital tape formats: Geophysics, vol. 40, no. 2, p. 344-352, doi: 10.1190/1.1440530.
Loma Mar, CA: Lidar survey of the San Jose Mountains
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NCALM Seed. PI: Jill Marshall, San Francisco State University. The project area covers portions of the San Jose Mountains and consists of two polygons totaling approximately 50 square kilometers. The area of interest is located 30 kilometers west of San Jose, CA and was flown on Wednesday and Thursday, December 6-7, 2006.