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This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.
Categories: Data; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Carson National Forest, Colfax County, Colorado, Colorado Plateau, Dona Ana County, All tags...
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The Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM), which was originally developed by Hanson and others (2020) (https://doi.org/10.3133/sir20195120), was updated and recalibrated to minimize the biases in RGTIHM’s simulation of streamflow and to incorporate new estimates of historical agricultural consumptive use in the study area. The RGTIHM was developed through an interagency effort between the U.S. Geological Survey (USGS) and the Bureau of Reclamation (Reclamation) to provide a tool for analyzing the hydrologic system response to the historical (March 1940 through 2014) evolution of water use and potential changes in water supplies and demands in the Hatch Valley (also known as Rincon Valley...
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This part of the Data Release contains the raster representation of the water-level altitude and water-level change maps developed every 5 years from 1980-2015 for the upper Rio Grande Focus Area Study. The input point data used to generate the water-level altitude maps can be found in the "Groundwater level measurement data used to develop water-level altitude maps in the upper Rio Grande Alluvial Basins" child item of this data release. These digital data accompany Houston, N.A., Thomas, J.V., Foster, L.K., Pedraza, D.E., and Welborn, T.L., 2020, Hydrogeologic framework, groundwater-level altitudes, groundwater-level changes, and groundwater-storage changes in selected alluvial basins of the upper Rio Grande...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Abiquiu Reservoir, Ahumada, Alamosa, Alamosa County, Alamosa Creek, All tags...
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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.
The 'Organ District' 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.
The 'Map - Geologic Section of Bishop Cap - Organ Mountains Area' 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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The transboundary Mesilla Basin/Conejos-Médanos aquifer system was identified as one of the priority transboundary aquifer systems for additional study by the United States and Mexico U.S.-Mexico Transboundary Aquifer Assessment Act of 2006 (United States-Mexico Transboundary Aquifer Act, Public Law 109-448). As one of the largest rechargeable groundwater systems by total available volume in the Rio Grande/Rio Bravo del Norte Basin region of the United States and Mexico, the Mesilla Basin/Conejos-Médanos aquifer system supplies water for irrigation as well as municipal use in El Paso, Texas; Las Cruces, New Mexico; and Ciudad Juárez, Chihuahua, Mexico (Alley, 2013). The U.S. Geological Survey in cooperation with...
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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.


map background search result map search result map Time-Domain Electromagnetic Data Collected in the U.S. Part of the Mesilla Basin/Conejos-Médanos Aquifer System in Doña Ana County, New Mexico, and El Paso County, Texas, November 2012 Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains USGS Topo Map Vector Data (Vector) 7129 Canutillo TX (published 20220823) FileGDB USGS Topo Map Vector Data (Vector) 71634 Smeltertown TX (published 20220823) FileGDB USGS US Topo 7.5-minute map for Canutillo, TX,NM 2019 Groundwater-level altitude and groundwater-level change maps developed for the groundwater component of the upper Rio Grande Focus Area Study USGS US Topo 7.5-minute map for Magdalena Gap, NM 2020 USGS US Topo 7.5-minute map for Mount Aden, NM 2020 USGS US Topo 7.5-minute map for Gardner Peak, NM 2020 MODFLOW One-Water Hydrologic Flow Model (MF-OWHM) used to simulate conjunctive use in the Hatch Valley and Mesilla Basin, New Mexico and Texas, United States, and northern Chihuahua, Mexico USGS Topo Map Vector Data (Vector) 7129 Canutillo TX (published 20220823) GeoPackage USGS Topo Map Vector Data (Vector) 71634 Smeltertown TX (published 20220823) GeoPackage US Topo 7.5-minute map for Strauss, NM,CHH,TX US Topo 7.5-minute map for San Andres Peak, NM US Topo 7.5-minute map for Potrillo Peak, NM US Topo 7.5-minute map for Cambray, NM US Topo 7.5-minute map for Souse Springs, NM US Topo 7.5-minute map for Selden Canyon, NM Time-Domain Electromagnetic Data Collected in the U.S. Part of the Mesilla Basin/Conejos-Médanos Aquifer System in Doña Ana County, New Mexico, and El Paso County, Texas, November 2012 USGS Topo Map Vector Data (Vector) 7129 Canutillo TX (published 20220823) FileGDB USGS Topo Map Vector Data (Vector) 71634 Smeltertown TX (published 20220823) FileGDB USGS US Topo 7.5-minute map for Canutillo, TX,NM 2019 USGS US Topo 7.5-minute map for Magdalena Gap, NM 2020 USGS US Topo 7.5-minute map for Mount Aden, NM 2020 USGS US Topo 7.5-minute map for Gardner Peak, NM 2020 USGS Topo Map Vector Data (Vector) 7129 Canutillo TX (published 20220823) GeoPackage USGS Topo Map Vector Data (Vector) 71634 Smeltertown TX (published 20220823) GeoPackage US Topo 7.5-minute map for Strauss, NM,CHH,TX US Topo 7.5-minute map for San Andres Peak, NM US Topo 7.5-minute map for Potrillo Peak, NM US Topo 7.5-minute map for Cambray, NM US Topo 7.5-minute map for Souse Springs, NM US Topo 7.5-minute map for Selden Canyon, NM MODFLOW One-Water Hydrologic Flow Model (MF-OWHM) used to simulate conjunctive use in the Hatch Valley and Mesilla Basin, New Mexico and Texas, United States, and northern Chihuahua, Mexico Groundwater-level altitude and groundwater-level change maps developed for the groundwater component of the upper Rio Grande Focus Area Study Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains