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This dataset consists of 14 magnetotelluric (MT) stations collected in 2015 near San Pablo Bay, California along a east-northeast profile. The U.S. Geological Survey acquired these data to understand the fault geometry of the Hayward Fault and the Rodgers Creek Fault.
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Included here are the model, data, and reponse files used to create the 2D electrical resistivity model. Plots of the data and model response are provided as well as one of the model. The data, model, mesh, regularization, and response files are provided in Occam2D format. See https://marineemlab.ucsd.edu/Projects/Occam/2DMT/index.html for details on file format. This data product includes Occam2D data, model, response, and mesh files such that anyone can reproduce the model results. To produce the 2D model the data are rotated to principle strike direction estimated from the phase tensor azimuth, which was nominaly geomagnetic north. The station locations are projected onto a profile line N66E. Bad data points...
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This digital dataset defines the spring 1961 water-table altitude for the California's Central Valley. It was used to initiate the water-level altitudes for the upper zones of the transient hydrologic model of the Central Valley flow system. The Central Valley encompasses an approximate 50,000 square-kilometer region of California. The complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling...
Tags: Alameda County, Amador County, Butte County, CV-RASA, Calaveras County, All tags...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This digital dataset defines the model grid and altitudes of the top of the 10 model layers and base of the model simulated in the transient hydrologic model of the Central Valley flow system. The Central Valley encompasses an approximate 50,000 square-kilometer region of California. The complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling code MODFLOW-FMP (Schmid and others, 2006), which...
Tags: Alameda County, Amador County, Butte County, CV-RASA, Calaveras County, All tags...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This digital dataset contains the surface-water network for the Central Valley Hydrologic Model (CVHM). The Central Valley encompasses an approximate 50,000-square-kilometer region of California. The complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling code MODFLOW-FMP (Schmid and others, 2006). This simulation is referred to here as the CVHM (Faunt, 2009). Utilizing MODFLOW-FMP, the CVHM...
Tags: Alameda County, Amador County, Butte County, CV-RASA, Calaveras County, All tags...
The 'Contra Costa ? Structural Study' file is part of the Grover Heinrichs mining collection. Grover was the Vice President of Heinrichs GEOEXploration, located in Tucson, Arizona. The collection contains over 1,400 folders including economic geology reports, maps, photos, correspondence, drill logs and other related materials. The focus of much of the information is on the western United States, particularly Arizona, but the collection also includes files on mining activity throughout the United States, foreign countries, and 82 mineral commodities.
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This dataset consists of 14 magnetotelluric (MT) stations collected in 2015 near San Pablo Bay, California along a east-northeast profile. The U.S. Geological Survey acquired these data to understand the fault geometry of the Hayward Fault and the Rodgers Creek Fault.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale CONUS and Hawaii, 1:25,000-scale Alaska, and 1:20,000-scale Puerto Rico / US Virgin Island topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.


map background search result map search result map USGS Topo Map Vector Data (Vector) 6563 Byron Hot Springs, California 20220508 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 3330 Benicia, California 20220511 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 47345 Walnut Creek, California 20220511 for 7.5 x 7.5 minute FileGDB 10.1 USGS NED 1/3 arc-second Contours for San Francisco E, California 20220429 1 X 1 degree FileGDB 10.1 USGS US Topo 7.5-minute map for Antioch South, CA 2018 USGS US Topo 7.5-minute map for Las Trampas Ridge, CA 2018 USGS US Topo 7.5-minute map for Mare Island, CA 2018 USGS US Topo 7.5-minute map for Richmond, CA 2018 Magnetotelluric data from San Pablo Bay, California: station sp03 Magnetotelluric data from San Pablo Bay, California: station sp14 Two-dimensional Electrical Resistivity Model from San Pablo Bay, California US Topo 7.5-minute map for Briones Valley, CA US Topo 7.5-minute map for Oakland East, CA US Topo 7.5-minute map for Richmond, CA US Topo 7.5-minute map for Vine Hill, CA US Topo 7.5-minute map for Jersey Island, CA Spring 1961 water table of California's Central Valley (from Williamson and others, 1989) Surface-Water Network for the Central Valley Hydrologic Model (CVHM) Altitudes of the top of model layers in the Central Valley Hydrologic Model (CVHM) Two-dimensional Electrical Resistivity Model from San Pablo Bay, California USGS Topo Map Vector Data (Vector) 6563 Byron Hot Springs, California 20220508 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 3330 Benicia, California 20220511 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 47345 Walnut Creek, California 20220511 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Antioch South, CA 2018 USGS US Topo 7.5-minute map for Las Trampas Ridge, CA 2018 USGS US Topo 7.5-minute map for Mare Island, CA 2018 USGS US Topo 7.5-minute map for Richmond, CA 2018 US Topo 7.5-minute map for Briones Valley, CA US Topo 7.5-minute map for Oakland East, CA US Topo 7.5-minute map for Richmond, CA US Topo 7.5-minute map for Vine Hill, CA US Topo 7.5-minute map for Jersey Island, CA USGS NED 1/3 arc-second Contours for San Francisco E, California 20220429 1 X 1 degree FileGDB 10.1 Surface-Water Network for the Central Valley Hydrologic Model (CVHM) Spring 1961 water table of California's Central Valley (from Williamson and others, 1989) Altitudes of the top of model layers in the Central Valley Hydrologic Model (CVHM)