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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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The U.S. Geological Survey (USGS) used the Borehole data to characterize the hydrogeology in the Central Valley of California for the updated Central Valley Hydrologic Model (CVHM2). These data encompass the inputs and outputs for the three-dimensional (3D) hydrogeologic Framework for the Central Valley, California, a part of the Central Valley Hydraulic Framework version 2 (CVHM2) project. These files include the shapefiles with flow layers (Flow_model_grid.zip), a scatter dataset of the modeled Central Valley (PercentCoarse_CV_50ft.csv), and the well log information and kriging parameters for the Central Valley (Kriging_Table.xlxs).
Categories: Data; Tags: Alameda County, Amador County, Butte County, Calaveras County, California, All tags...
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This data release includes chirp seismic-reflection data collected in 2014 aboard the USGS R/V Snavely in San Pablo Bay, part of northern San Francisco Bay. These data were acquired to image the shallow geologic structure, particularly that related to the Hayward and Rodgers Creek Faults. Approximately 200 km of marine seismic-reflection data were collected along primarily northeast and northwest-trending profiles spaced 1-km apart using an Edgetech 512 chirp sub-bottom profiler that was towed alongside the vessel on a sled at the sea surface. Data were acquired using a 2-12 kHz sweep with a 20 ms length fired 6 times per second. Initial processing included subsampling at twice the sample interval to make swell...
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These data encompass data classified from the borehole textures. The U.S Geological Survey (USGS) classified the Well Log Database of the Central Valley, California, 2021, into Central_Valley_Borehole_with_Lithology_Classification.csv. Lithologic log descriptions served as the basis for division into discrete binary texture classifications of either “coarse grained” or “fine grained” intervals. Values of 1 (coarse grained), 0 (fine grained) or 2 (unknown) were determined using the table found in Central_Valley_Lithology_Classifier.csv. Percent Coarse values for each well log were calculated at 15.24 m for the entire Central valley (Percent_Coarse_meters_wells.csv).
The 'Mt. Diablo Quicksilver Mine, Cordero Mining Co.' 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 digital dataset contains the monthly inflows to the surface water network in the updated Central Valley Hydrologic Model (CVHM2) for water years 1922-2019. The surface water inflows are simulated through the Streamflow Routing Package (SFR2) using 65 inflows locations, 271 stream segments that represent 4043 stream reaches, and 13 bifurcations that comprise the stream network. The bifurcations simulate the bypass canals that are used for flood control by routing water between two stream reach locations within the stream network. This dataset includes the inflow and bifurcation locations, monthly magnitude, and shapefiles of the gridded and non-gridded stream network.
Categories: Data; Tags: Alameda County, Amador County, Butte County, Calaveras County, California, All tags...
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This digital dataset contains the monthly diversions from the surface water network in the updated Central Valley Hydrologic Model (CVHM2) for water years 1922-2019. The volume of water transported by surface-water diversions were updated in the CVHM2 from several sources, including: • The C2VSIM developed by DWR, • The WestSIM model, • Delta Mendota Canal turnout delivery data obtained from SLDMWA, • Delta delivery data obtained from Montgomery Watson. The surface water diversions are simulated through the Streamflow Routing Package (SFR2) using 571 diversion locations providing 564 semi-routed and 7 non-routed diversions. Linkages between SFR2 and the Farm-Process (FMP4) simulate the semi-routed and non-routed...
Categories: Data; Tags: Alameda County, Amador County, Butte County, Calaveras County, California, All tags...


    map background search result map search result map Chirp seismic-reflection data: San Pablo Bay, California Magnetotelluric data from San Pablo Bay, California Monthly Diversions from the Surface Water Network of the Central Valley Hydrologic Model Version 2 (CVHM2) Monthly Inflows to the Surface Water Network for the Central Valley Hydrologic Model Version 2 (CVHM2) Central Valley Hydrologic Model version 2 (CVHM2): Three-Dimensional Framework Model Hydrogeologic Data Release for CVHM2: Well logs with Classification Information Magnetotelluric data from San Pablo Bay, California Chirp seismic-reflection data: San Pablo Bay, California Monthly Diversions from the Surface Water Network of the Central Valley Hydrologic Model Version 2 (CVHM2) Monthly Inflows to the Surface Water Network for the Central Valley Hydrologic Model Version 2 (CVHM2) Central Valley Hydrologic Model version 2 (CVHM2): Three-Dimensional Framework Model Hydrogeologic Data Release for CVHM2: Well logs with Classification Information