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The 'New Almaden Mine' 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 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.
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The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
Tags: Administrative watershed units, Administrative watershed units, Alameda County, Area of Complex Channels, Area to be submerged, All tags...
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The High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated set of geospatial data layers, including the best available National Hydrography Dataset (NHD), the 10-meter 3D Elevation Program Digital Elevation Model (3DEP DEM), and the National Watershed Boundary Dataset (WBD). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to create a stream network with linear referencing, feature naming, "value added attributes" (VAAs), elevation-derived catchments, and other features for hydrologic data analysis. The stream network with linear referencing is a system of data relationships applied to hydrographic systems so that one stream reach "flows" into another and "events" can be tied to and traced...
Tags: CA, California, Downloadable Data, FileGDB, FileGDB 10.1, All tags...
The 'Richmond Ranch' 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.
thumbnail
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.
thumbnail
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.


map background search result map search result map USGS Topo Map Vector Data (Vector) 33833 Pacheco Peak, California 20220510 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 30556 Mount Day, California 20220508 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 33832 Pacheco Pass, California 20220510 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 45027 Three Sisters, California 20220510 for 7.5 x 7.5 minute FileGDB 10.1 USGS National Hydrography Dataset Best Resolution (NHD) for Hydrological Unit (HU) 8 - 18050004 (published 20230412) Shapefile USGS NED 1/3 arc-second Contours for Monterey W, California 20220428 1 X 1 degree FileGDB 10.1 USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1806 (published 20181214) USGS US Topo 7.5-minute map for Calaveras Reservoir, CA 2018 USGS US Topo 7.5-minute map for Castle Rock Ridge, CA 2018 USGS US Topo 7.5-minute map for Eylar Mountain, CA 2018 USGS US Topo 7.5-minute map for Lick Observatory, CA 2018 USGS US Topo 7.5-minute map for Milpitas, CA 2018 USGS US Topo 7.5-minute map for Mount Madonna, CA 2018 USGS US Topo 7.5-minute map for Mount Stakes, CA 2018 USGS US Topo 7.5-minute map for San Jose West, CA 2018 US Topo 7.5-minute map for Loma Prieta, CA US Topo 7.5-minute map for Morgan Hill, CA US Topo 7.5-minute map for Mountain View, CA USGS Topo Map Vector Data (Vector) 33833 Pacheco Peak, California 20220510 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 30556 Mount Day, California 20220508 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 33832 Pacheco Pass, California 20220510 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 45027 Three Sisters, California 20220510 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Calaveras Reservoir, CA 2018 USGS US Topo 7.5-minute map for Castle Rock Ridge, CA 2018 USGS US Topo 7.5-minute map for Eylar Mountain, CA 2018 USGS US Topo 7.5-minute map for Lick Observatory, CA 2018 USGS US Topo 7.5-minute map for Milpitas, CA 2018 USGS US Topo 7.5-minute map for Mount Madonna, CA 2018 USGS US Topo 7.5-minute map for Mount Stakes, CA 2018 USGS US Topo 7.5-minute map for San Jose West, CA 2018 US Topo 7.5-minute map for Loma Prieta, CA US Topo 7.5-minute map for Morgan Hill, CA US Topo 7.5-minute map for Mountain View, CA USGS National Hydrography Dataset Best Resolution (NHD) for Hydrological Unit (HU) 8 - 18050004 (published 20230412) Shapefile USGS NED 1/3 arc-second Contours for Monterey W, California 20220428 1 X 1 degree FileGDB 10.1 USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1806 (published 20181214)