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The original time series and cross power data were stored in Binary format on 3.5" disks until further conversion was needed. To convert the time series and cross power data to a format that can be used for modeling, the original binary files were converted to ASCII format using Basic 4.0 code and associated subroutines (see Magnetotelluric_Original-Code_Binary-to-Ascii.txt and Magnetotelluric_Original-Code_Binary-to-Ascii-Subroutines.txt attached to the binary data ScienceBase item). The DaR project used these converted ASCII format files to create the EDI format files included in this data release. The binary data are considered the original data for the magnetotelluric survey, therefore, they are provided with...
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The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Science Analytics and Synthesis (SAS) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Loma Prieta, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric data selected for this preservation project were collected in 1989 and 1990 using USGS portable truck mounted systems that measure the distribution of electrical conductivity beneath the surface of the earth. Truck mounted systems of this era output data to 3.5” discs, from which data were recovered...
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The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Science Analytics and Synthesis (SAS) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Loma Prieta, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric data selected for this preservation project were collected in 1989 and 1990 using USGS portable truck mounted systems that measure the distribution of electrical conductivity beneath the surface of the earth. Truck mounted systems of this era output data to 3.5” discs, from which data were recovered...
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The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Science Analytics and Synthesis (SAS) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Loma Prieta, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric data selected for this preservation project were collected in 1989 and 1990 using USGS portable truck mounted systems that measure the distribution of electrical conductivity beneath the surface of the earth. Truck mounted systems of this era output data to 3.5” discs, from which data were recovered...
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The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Science Analytics and Synthesis (SAS) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Loma Prieta, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric data selected for this preservation project were collected in 1989 and 1990 using USGS portable truck mounted systems that measure the distribution of electrical conductivity beneath the surface of the earth. Truck mounted systems of this era output data to 3.5” discs, from which data were recovered...
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The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Science Analytics and Synthesis (SAS) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Loma Prieta, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric data selected for this preservation project were collected in 1989 and 1990 using USGS portable truck mounted systems that measure the distribution of electrical conductivity beneath the surface of the earth. Truck mounted systems of this era output data to 3.5” discs, from which data were recovered...
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The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Data at Risk (DaR) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Parkfield, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric data selected for this preservation project were collected in 1990 using USGS portable truck mounted systems that measure the distribution of electrical conductivity beneath the surface of the earth. Truck mounted systems of this era output data to 3.5” discs, from which data were recovered and transformed to binary or ASCII...
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines (England and others, 2019). The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected USGS streamgages. This data release presents peak-flow frequency analyses for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, and the Powder River Basin, based on data through water year 2022, using methods described by Sando and McCarthy (2018).
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The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Science Analytics and Synthesis (SAS) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Loma Prieta, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric data selected for this preservation project were collected in 1989 and 1990 using USGS portable truck mounted systems that measure the distribution of electrical conductivity beneath the surface of the earth. Truck mounted systems of this era output data to 3.5” discs, from which data were recovered...
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The EDI time series and cross power data were converted from ASCII format using Python-based software developed for this preservation project. The data in EDI format can use magnetotelluric interpretation software to produce models of the resistivity of the measured environment. The metadata in the Info section of the EDI files can be used to convert data to SPUD format, another format used for modelling (Wight, 1988).
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The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Science Analytics and Synthesis (SAS) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Loma Prieta, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric data selected for this preservation project were collected in 1989 and 1990 using USGS portable truck mounted systems that measure the distribution of electrical conductivity beneath the surface of the earth. Truck mounted systems of this era output data to 3.5” discs, from which data were recovered...
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected USGS streamgages. This data release presents peak-flow frequency analyses for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022, using methods described by Sando and McCarthy (2018).
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This data release contains data sets associated with the 2023 50-State National Seismic Hazard Model Update. The 2023 50-State National Seimsic Hazard Model (NSHM) Update includes an update to the NSHMs for the conterminous U.S (CONUS, last updated in 2018), Alaska (AK, last updated in 2007), and Hawaii (last updated in 2001). Data sets include inputs like seismicity catalogs used as input to the smoothed seismicity model and updated induced seismicity zone polygons in the central and eastern U.S., as well as outputs like hazard curves and uniform-hazard ground motion values. Plots of selected data sets are also included. The data sets provided here are primarily for the 2023 CONUS NHSM and 2023 AK NSHM. Additional...
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The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Science Analytics and Synthesis (SAS) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Loma Prieta, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric data selected for this preservation project were collected in 1989 and 1990 using USGS portable truck mounted systems that measure the distribution of electrical conductivity beneath the surface of the earth. Truck mounted systems of this era output data to 3.5” discs, from which data were recovered...
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Continuous 15-minute time-series suspended-sediment concentration data computed from instream turbidity data. Turbidty data is managed by California Department of Water Resources (CDWR) using a YSI 6-series multi-parameter water quality sonde. Complete methods for turbidity data collection are described in attached methods document.
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The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Science Analytics and Synthesis (SAS) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Loma Prieta, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric data selected for this preservation project were collected in 1989 and 1990 using USGS portable truck mounted systems that measure the distribution of electrical conductivity beneath the surface of the earth. Truck mounted systems of this era output data to 3.5” discs, from which data were recovered...
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The ASCII data included in this data release are the intermediary files between the original binary and final EDI formatted files. These ASCII formatted time series and cross power files are what the DaR project acquired and converted into EDI format for this data release using open-source software developed by the DaR project team (Wight, D.E., 1988). The Python code, supplemental resources, and associated readme are available as a USGS software release (https://doi.org/10.5066/F71Z43P9).


map background search result map search result map Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990 Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990: ASCII Data Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990: EDI Data Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990: Binary Data Model Archive Summary and Time-Series Suspended-Sediment Concentrations Computed from a Surrogate Turbidity Regression at USGS Station 11336930 Mokelumne River at Andrus Island near Terminous, Ca (2010 - 2016) Magnetotelluric Data from the San Andreas Fault, Loma Prieta CA, 1989-1990; Station mt09 Magnetotelluric Data from the San Andreas Fault, Loma Prieta CA, 1989-1990; Station mt04 Magnetotelluric Data from the San Andreas Fault, Loma Prieta CA, 1989-1990; Station mt05 Magnetotelluric Data from the San Andreas Fault, Loma Prieta CA, 1989-1990; Station mt03 Magnetotelluric Data from the San Andreas Fault, Loma Prieta CA, 1989-1990; Station mt06 Magnetotelluric Data from the San Andreas Fault, Loma Prieta CA, 1989-1990; Station mt07 Magnetotelluric Data from the San Andreas Fault, Loma Prieta CA, 1989-1990; Station mt08 Magnetotelluric Data from the San Andreas Fault, Loma Prieta CA, 1989-1990; Station mt01 Magnetotelluric Data from the San Andreas Fault, Loma Prieta CA, 1989-1990; Station mt02 Data Release for the 2023 U.S. 50-State National Seismic Hazard Model - Overview Peak-flow frequency analyses for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022 WATSTORE Peak flow data for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022 PeakFQ version 7.4 specifications file for peak-flow frequency analyses for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, Montana, based on data through water year 2022 Results of peak-flow frequency analyses for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, and the Powder River Basin, Montana, based on data through water year 2022 WATSTORE Peak-flow frequency analyses for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, Montana, based on data through water year 2022 Model Archive Summary and Time-Series Suspended-Sediment Concentrations Computed from a Surrogate Turbidity Regression at USGS Station 11336930 Mokelumne River at Andrus Island near Terminous, Ca (2010 - 2016) Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990 Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990: ASCII Data Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990: EDI Data Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990: Binary Data Peak-flow frequency analyses for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022 WATSTORE Peak flow data for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022 PeakFQ version 7.4 specifications file for peak-flow frequency analyses for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, Montana, based on data through water year 2022 Results of peak-flow frequency analyses for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, and the Powder River Basin, Montana, based on data through water year 2022 WATSTORE Peak-flow frequency analyses for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, Montana, based on data through water year 2022 Data Release for the 2023 U.S. 50-State National Seismic Hazard Model - Overview