Rapid population growth and declining annual recharge to aquifers in the upper Santa Cruz basin area of southern Arizona, has increased the demand for additional groundwater resources. This demand is predicted to escalate in the future due to higher temperatures, longer droughts, less aquifer recharge, and decreased river and stream base flow. We conducted geologic studies to help evaluate and better understand groundwater resources in the basin. Results of these studies are presented in this report, which summarizes the basin geologic framework and hydrogeology, and presents a 3-D hydrogeologic model for the Rio Rico and Nogales 7.5’ quadrangles. Three major hydrogeologic units are displayed in the 3-D model; a lower basement confining unit, consisting of Jurassic, Cretaceous, and Tertiary (Paleocene and Oligocene) rocks; a middle unit composed entirely of the Miocene Nogales Formation; and an upper unit consisting of late Miocene to Holocene surficial deposits. The Nogales Formation and the Late Miocene to Holocene sediments are the main aquifers in the Santa Cruz basin. The 3-D model integrates the hydrogeologic units and structural features to define the geometry, structure, and thickness of the aquifer system that provides water to Nogales and surrounding communities of southernmost Arizona. The report includes an EarthVision 3D Viewer, consisting of software enabling viewing data interactively in three-dimensional space, in order to help understand the internal complexities of the basin geometry, structure, stratigraphy, and hydrology. The 3-D model is a synthesis of geologic data from geologic maps, cross sections, and lithologic descriptions and interpretations, and geophysical data including gravity, magnetic data, and airborne electromagnetic data.

This dataset accompanies geologic map publication " Geologic and geophysical maps of the onshore parts of the Santa Maria and Point Conception 30' x 60' quadrangles, California "; U.S. Geological Survey Scientific Investigations Map 3473. Data presented here include the digital geologic map database, paleontological sample locations and descriptions, and point data sets from magnetic and gravity data. The geologic database includes spatial feature classes and non-spatial tables that collectively contain the geologic information presented in the map plate. Fossil sample localities are included as a point feature class in the geologic map database and as two spreadsheet tables of fossil sample localities and fossil checklists. The location of gravity stations in the map area are compiled and augmented by new measurements of the Santa Maria and northern part of the Point Conception 30 x 60 quadrangle, California. This dataset represents an edited version of Langenheim (2013) U.S. Geological Survey Open-File Report 2013-1282 and includes data that were collected after that publication. Point data representing the isostatic gravity field, gridded at a 200-m spacing, are presented for two reduction densities: 2000 kg/m3 and 2670 kg/m3. Point data representing the magnetic field, gridded at a 200-m spacing, are presented for magnetic data that have been filtered to emphasize shallow-depth and medium-depth magnetic sources. Boundaries of density and magnetic sources were derived from application of the maximum horizontal gradient method for the Santa Maria and Point Conception 30 x 60 quadrangle, California. Point data representing the maximum horizontal gradient boundaries in the magnetic field are presented for the total magnetic field and for magnetic data that have been filtered to emphasize shallow-depth and medium-depth magnetic sources. Point data representing the maximum horizontal gradient boundaries in the gravity field are presented for two reduction densities: 2000 kg/m3 and 2670 kg/m3.

This dataset accompanies geologic map publication " Geologic and geophysical maps of the onshore parts of the Santa Maria and Point Conception 30' x 60' quadrangles, California "; U.S. Geological Survey Scientific Investigations Map 3473. Data presented here include the digital geologic map database, paleontological sample locations and descriptions, and point data sets from magnetic and gravity data. The geologic database includes spatial feature classes and non-spatial tables that collectively contain the geologic information presented in the map plate. Fossil sample localities are included as a point feature class in the geologic map database and as two spreadsheet tables of fossil sample localities and fossil checklists. The location of gravity stations in the map area are compiled and augmented by new measurements of the Santa Maria and northern part of the Point Conception 30 x 60 quadrangle, California. This dataset represents an edited version of Langenheim (2013) U.S. Geological Survey Open-File Report 2013-1282 and includes data that were collected after that publication. Point data representing the isostatic gravity field, gridded at a 200-m spacing, are presented for two reduction densities: 2000 kg/m3 and 2670 kg/m3. Point data representing the magnetic field, gridded at a 200-m spacing, are presented for magnetic data that have been filtered to emphasize shallow-depth and medium-depth magnetic sources. Boundaries of density and magnetic sources were derived from application of the maximum horizontal gradient method for the Santa Maria and Point Conception 30 x 60 quadrangle, California. Point data representing the maximum horizontal gradient boundaries in the magnetic field are presented for the total magnetic field and for magnetic data that have been filtered to emphasize shallow-depth and medium-depth magnetic sources. Point data representing the maximum horizontal gradient boundaries in the gravity field are presented for two reduction densities: 2000 kg/m3 and 2670 kg/m3.

The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geodatabase described herein are the seven layers: BatchPoint, huc_net_Junctions, HUCLongestFlowPath, hucpoly, Point3D, Slp1085Point, StreamLayer, streams, and Streams3D.

The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geodatabase described herein are the seven layers: BatchPoint, huc_net_Junctions, HUCLongestFlowPath, hucpoly, Point3D, Slp1085Point, StreamLayer, streams, and Streams3D.

This data release includes 40Ar/39Ar data from the U.S. Geological Survey for samples from the Santa Cruz Basin, Arizona. Mineral samples were collected by Kenzie Turner and William Page from the upper Santa Cruz Basin, Arizona. Potassium-bearing mineral grains were separated from the bulk sample and analyzed by argon geochronology at the U.S. Geological Survey Argon Geochronology Laboratory in Denver, Colorado. The data provide age constraints on units in the relevant geologic mapping area.

This data release includes 40Ar/39Ar data from the U.S. Geological Survey for samples from the Santa Cruz Basin, Arizona. Mineral samples were collected by Kenzie Turner and William Page from the upper Santa Cruz Basin, Arizona. Potassium-bearing mineral grains were separated from the bulk sample and analyzed by argon geochronology at the U.S. Geological Survey Argon Geochronology Laboratory in Denver, Colorado. The data provide age constraints on units in the relevant geologic mapping area.

The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geospatial dataset described herein are the seven layers: Catchment, AdjointCatchment, DrainageLine, DrainagePoint, LongestFlowPathCat, LongestFlowPathAdjCat, and SinkWatershed, which are needed to delineate watersheds within the HUC-8 areas and calculate the longest flow path for watersheds. Data are partitioned into four geodatabases, one for each of the four 8-digit Hydrologic Unit Code (HUC) areas for Puerto Rico: 21010002, 21010003, 21010004, and 21010005.

The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geospatial dataset described herein are the seven layers: Catchment, AdjointCatchment, DrainageLine, DrainagePoint, LongestFlowPathCat, LongestFlowPathAdjCat, and SinkWatershed, which are needed to delineate watersheds within the HUC-8 areas and calculate the longest flow path for watersheds. Data are partitioned into four geodatabases, one for each of the four 8-digit Hydrologic Unit Code (HUC) areas for Puerto Rico: 21010002, 21010003, 21010004, and 21010005.

This digital dataset represents the three-dimensional hydrogeologic framework for the Rio Grande Transboundary region of New Mexico, Texas, USA, and Northern Chihuahua, Mexico. The data define the elevation, thickness, extent, and character of the principal hydrostratigraphic units of the region, and faults and igneous intrusive dikes that cut these units. The digital data describe the following five hydrostratigraphic units: RC, river channel alluvium; three informal subdivisions of the Santa Fe Group (USF, Upper Santa Fe Group; MSF, Middle Santa Fe Group; LSF, Lower Santa Fe Group); and BSMT, which includes all pre-Santa Fe Group rocks (basement). All units except BSMT (RC, USF, MSF, LSF) are split into two subunits. In each case, the designation 1 (e.g., USF1) indicates the UPPER subunit and the designation 2 (e.g., USF2) indicates the LOWER subunit. Most of the three-dimensional hydrogeologic framework data are contained within a single polygon feature class Frmwk_cells, which contains a mesh of polygons that represent model cells that have multiple attributes including X, Y, elevation and thickness of each hydrostratigraphic unit or subunit, and codes that represent sedimentary facies for each hydrostratigraphic subunit. The spatial extent of RC, USF, MSF, and LSF are provided as separate polygon feature classes. Faults and igneous intrusive dikes are provided as separate line features classes. This digital dataset was created as part of a U.S. Geological Survey study, done in cooperation with the U.S. Bureau of Reclamation, to be used as the digital hydrogeologic input data for numerical simulation of the groundwater system of the Rio Grande transboundary region of New Mexico, Texas, USA and Northern Chihuahua, Mexico. These data are intended as the digital hydrogeologic input for numerical simulation of the groundwater system. Elevation, thickness, and extent of the hydrostratigraphic units define the geohydrologic layering of the digital framework model. Codes that represent sedimentary facies may be used as a lithologic basis for the distribution of hydraulic properties within each hydrostratigraphic unit. The location of faults and igneous intrusive dikes may be used to define the location of potential horizontal flow barriers in numerical simulation of the groundwater system.