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The 'Mother Lode System, Eldorado and Amador Counties' 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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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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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...


map background search result map search result map USGS Topo Map Vector Data (Vector) 12076 Devil Peak, California 20220508 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 14268 Emerald Bay, California 20220511 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 33228 Omo Ranch, California 20220510 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 35895 Pollock Pines, California 20220513 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 20866 Homewood, California 20220510 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 36721 Pyramid Peak, California 20220511 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 48099 Wentworth Springs, California 20220511 for 7.5 x 7.5 minute Shapefile USGS US Topo 7.5-minute map for Caples Lake, CA 2018 USGS US Topo 7.5-minute map for Clarksville, CA 2018 USGS US Topo 7.5-minute map for Fiddletown, CA 2018 USGS US Topo 7.5-minute map for Loon Lake, CA 2018 USGS US Topo 7.5-minute map for Michigan Bluff, CA 2018 USGS US Topo 7.5-minute map for Robbs Peak, CA 2018 USGS US Topo 7.5-minute map for Sly Park, CA 2018 US Topo 7.5-minute map for Camino, CA US Topo 7.5-minute map for Auburn, 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) USGS Topo Map Vector Data (Vector) 12076 Devil Peak, California 20220508 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 14268 Emerald Bay, California 20220511 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 33228 Omo Ranch, California 20220510 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 35895 Pollock Pines, California 20220513 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 20866 Homewood, California 20220510 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 36721 Pyramid Peak, California 20220511 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 48099 Wentworth Springs, California 20220511 for 7.5 x 7.5 minute Shapefile USGS US Topo 7.5-minute map for Caples Lake, CA 2018 USGS US Topo 7.5-minute map for Clarksville, CA 2018 USGS US Topo 7.5-minute map for Fiddletown, CA 2018 USGS US Topo 7.5-minute map for Loon Lake, CA 2018 USGS US Topo 7.5-minute map for Michigan Bluff, CA 2018 USGS US Topo 7.5-minute map for Robbs Peak, CA 2018 USGS US Topo 7.5-minute map for Sly Park, CA 2018 US Topo 7.5-minute map for Camino, CA US Topo 7.5-minute map for Auburn, CA 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)