This data release contains a geospatial database related to a digital 3D geologic framework of the Rio San Jose watershed, New Mexico. The geospatial database contains two main data elements: (1) input data to the 3D framework model; (2) interpolated elevations and thicknesses of stratigraphic units as a cellular array. Input surface and subsurface data for 18 stratigraphic units have been condensed to points that define the elevation of the top of each stratigraphic unit; these point data sets serve as the digital input to the framework model. The point data are derived from geologic maps, cross sections, oil and gas wells, water wells, structure contour maps, and thickness maps. Additional input geologic features that either cut or overlay the stratigraphic units in the model are provided as separate features classes, including the location of faults, volcanic dikes, and volcanic vents. The interpolated elevations and thickness of stratigraphic units are presented as a cellular array: essentially a “flattened”, two-dimensional representation of the digital 3D geologic framework, which defines the elevation and thickness of 18 geologic units within the geologic framework model. The elevation and thickness of the geologic units are contained within a single polygon feature class ModelCells, which contains a mesh of polygons that represent model cells that have multiple attributes including XY location, elevation and thickness of each geologic unit. The elevation and thickness of the geologic units are also provided as individual raster layers in geoTIFF format. The 3D model output is described in a file as an ascii array of points: the 3D model was sampled within a 3D modeling program with a 3D array of nodes with 500-m spacing in the X and Y directions and 50-m in the Z direction. The 3D model was sampled at each node and the model unit intersected at the node saved as a coded value. This array of X,Y,Z coordinates and the coded formation values is presented as a CSV ascii file. The spatial data are accompanied by non-spatial tables that describe the sources of geologic information, a glossary of terms, a description of model units, and a Data Dictionary that duplicates the Entity and Attribute information contained in the metadata file. Spatial data are also presented as shapefiles.

The San Juan basin is a significant physical and structural element in the southeastern part of the Colorado Plateau physiographic province. The San Juan basin is in New Mexico, Colorado, Arizona, and Utah and has an area of about 21,600 square miles. The basin is about 140 miles wide and about 200 miles long. In the 1980’s and 1990’s, the San Juan basin was the focus of the U.S. Geological Survey's Regional Aquifer-System Analysis (RASA) study. Investigation of the San Juan structural basin began in October 1984 with an objective, among others, to define and evaluate the aquifer system. As part of this analysis, a multi-publication series of reports were produced as Hydrologic Atlas 720 (HA-720) that described on 1:1,000,000-scale maps the subsurface configuration and hydrogeology of the San Jose, Nacimiento, and Animas Formations (Levings and others, 1990; HA-720-A), the Ojo Alamo Sandstone (Thorn and others, 1990; HA-720-B), the Kirtland Shale and Fruitland Formation (Kernodle and others, 1990; HA-720-C), the Pictured Cliffs Sandstone (Dam and others, 1990; HA-720-D), the Cliff House Sandstone (Thorn and others, 1990; HA-720-E), the Menefee Formation (Levings and others, 1990; HA-720-F), the Point Lookout Sandstone (Craigg and others, 1990; HA-720-G), the Gallup Sandstone (Kernodle and others, 1990; HA-720-H), the Dakota Sandstone (Craigg and others, 1990; HA-720-I), and the Morrison Formation (Dam and others, 1990; HA-720-J). This digital dataset contains spatial datasets corresponding to the contoured subsurface maps produced by the U.S. Geological Survey's Regional Aquifer-System Analysis (RASA) San Juan basin study. The data define the elevation, thickness, and extent of principal stratigraphic units of the basin. The digital data describe the following stratigraphic units: the San Jose Formation, the Ojo Alamo Sandstone, the Kirtland Shale and Fruitland Formation, the Pictured Cliffs Sandstone, the Cliff House Sandstone, the Menefee Formation, the Point Lookout Sandstone, the Gallup Sandstone, the Dakota Sandstone, and the Morrison Formation. Digital data for each unit are contained in individual features classes within a geodatabase (also saved as individual shapefiles). Feature classes have a single attribute, either elevation or thickness, that represents the contoured value. Contoured values are given in feet, to maintain consistency with the original publication, and in meters.

The San Juan basin is a significant physical and structural element in the southeastern part of the Colorado Plateau physiographic province. The San Juan basin is in New Mexico, Colorado, Arizona, and Utah and has an area of about 21,600 square miles. The basin is about 140 miles wide and about 200 miles long. In the 1980’s and 1990’s, the San Juan basin was the focus of the U.S. Geological Survey's Regional Aquifer-System Analysis (RASA) study. Investigation of the San Juan structural basin began in October 1984 with an objective, among others, to define and evaluate the aquifer system. As part of this analysis, a multi-publication series of reports were produced as Hydrologic Atlas 720 (HA-720) that described on 1:1,000,000-scale maps the subsurface configuration and hydrogeology of the San Jose, Nacimiento, and Animas Formations (Levings and others, 1990; HA-720-A), the Ojo Alamo Sandstone (Thorn and others, 1990; HA-720-B), the Kirtland Shale and Fruitland Formation (Kernodle and others, 1990; HA-720-C), the Pictured Cliffs Sandstone (Dam and others, 1990; HA-720-D), the Cliff House Sandstone (Thorn and others, 1990; HA-720-E), the Menefee Formation (Levings and others, 1990; HA-720-F), the Point Lookout Sandstone (Craigg and others, 1990; HA-720-G), the Gallup Sandstone (Kernodle and others, 1990; HA-720-H), the Dakota Sandstone (Craigg and others, 1990; HA-720-I), and the Morrison Formation (Dam and others, 1990; HA-720-J). This digital dataset contains spatial datasets corresponding to the contoured subsurface maps produced by the U.S. Geological Survey's Regional Aquifer-System Analysis (RASA) San Juan basin study. The data define the elevation, thickness, and extent of principal stratigraphic units of the basin. The digital data describe the following stratigraphic units: the San Jose Formation, the Ojo Alamo Sandstone, the Kirtland Shale and Fruitland Formation, the Pictured Cliffs Sandstone, the Cliff House Sandstone, the Menefee Formation, the Point Lookout Sandstone, the Gallup Sandstone, the Dakota Sandstone, and the Morrison Formation. Digital data for each unit are contained in individual features classes within a geodatabase (also saved as individual shapefiles). Feature classes have a single attribute, either elevation or thickness, that represents the contoured value. Contoured values are given in feet, to maintain consistency with the original publication, and in meters.

This digital dataset was created as part of a U.S. Geological Survey study in cooperation with the Santa Barbara County Water Agency to conduct a hydrologic resource assessment and develop an integrated numerical hydrologic model of the hydrologic system of Cuyama Valley, CA. As part of this larger study, the USGS developed this digital dataset of geologic data and three-dimensional hydrogeologic framework models, referred to here as the Cuyama Valley 3-D hydrogeologic framework models (3DHFM), that define the elevation, thickness, extent, and lithology-based texture variations of three hydrogeologic units in the Cuyama Valley, CA, groundwater basin. A USGS report that described the construction of 3-D geologic framework and textural models for Cuyama Valley groundwater basin was published in 2013 (Sweetkind and others, 2013). This data release formalizes the input geologic data and model outputs as a digital dataset. The Cuyama Valley 3DHFM incorporates as input data stratigraphic and lithologic information derived from water, monitoring, and oil and gas wells, as well as data from geologic maps and interpreted structure contour maps. Input surface and subsurface data have been reduced to points that define the top elevation and textural or grain-size characteristics of each hydrogeologic units at x,y locations; these point data sets serve as digital input to the framework models. The location of wells used sources of subsurface stratigraphic and lithologic information are provided as separate point feature classes in a geospatial database. Faults that offset hydrogeologic units are provided as a separate line feature class. Borehole data are also provided in a Microsoft Excel spreadsheet that includes separate TABs for well location, stratigraphic information of the depths to top and base of hydrogeologic units intercepted downhole. Two types of geologic frameworks were constructed: (1) a hydrostratigraphic framework where the elevation, thickness, and spatial extent of the three basin-fill hydrogeologic units were defined based on interpolation of the input data, and (2) a textural model for each hydrogeologic unit based on kriging-based interpolation of classed downhole lithologic data. Each of the frameworks is stored within a second geospatial database as an array of polygonal cells or cell centroids: essentially a “flattened”, two-dimensional representation of a digital 3D geologic framework. The elevation and thickness of the hydrogeologic units are contained within a point feature class which contains a mesh of cell centroids that represent model cells that have multiple attributes including x,y location, elevation, and thickness of each hydrogeologic unit. Computed textural information for each of the three basin-fill hydrogeologic units are stored in separate feature classes of polygonal cells where a single textural variable “percent coarse grained” is an attribute at each x,y location. The spatial data are accompanied by non-spatial tables that describe the sources of geologic information, a glossary of terms, a description of model units, and a Data Dictionary that duplicates the Entity and Attribute information contained in the metadata file. Spatial data are also presented as shapefiles and borehole data are provided in Microsoft Excel spreadsheet. The elevation, thickness, and textural model of each hydrogeologic unit are also released as raster files.

This digital dataset was created as part of a U.S. Geological Survey study in cooperation with the Santa Barbara County Water Agency to conduct a hydrologic resource assessment and develop an integrated numerical hydrologic model of the hydrologic system of Cuyama Valley, CA. As part of this larger study, the USGS developed this digital dataset of geologic data and three-dimensional hydrogeologic framework models, referred to here as the Cuyama Valley 3-D hydrogeologic framework models (3DHFM), that define the elevation, thickness, extent, and lithology-based texture variations of three hydrogeologic units in the Cuyama Valley, CA, groundwater basin. A USGS report that described the construction of 3-D geologic framework and textural models for Cuyama Valley groundwater basin was published in 2013 (Sweetkind and others, 2013). This data release formalizes the input geologic data and model outputs as a digital dataset. The Cuyama Valley 3DHFM incorporates as input data stratigraphic and lithologic information derived from water, monitoring, and oil and gas wells, as well as data from geologic maps and interpreted structure contour maps. Input surface and subsurface data have been reduced to points that define the top elevation and textural or grain-size characteristics of each hydrogeologic units at x,y locations; these point data sets serve as digital input to the framework models. The location of wells used sources of subsurface stratigraphic and lithologic information are provided as separate point feature classes in a geospatial database. Faults that offset hydrogeologic units are provided as a separate line feature class. Borehole data are also provided in a Microsoft Excel spreadsheet that includes separate TABs for well location, stratigraphic information of the depths to top and base of hydrogeologic units intercepted downhole. Two types of geologic frameworks were constructed: (1) a hydrostratigraphic framework where the elevation, thickness, and spatial extent of the three basin-fill hydrogeologic units were defined based on interpolation of the input data, and (2) a textural model for each hydrogeologic unit based on kriging-based interpolation of classed downhole lithologic data. Each of the frameworks is stored within a second geospatial database as an array of polygonal cells or cell centroids: essentially a “flattened”, two-dimensional representation of a digital 3D geologic framework. The elevation and thickness of the hydrogeologic units are contained within a point feature class which contains a mesh of cell centroids that represent model cells that have multiple attributes including x,y location, elevation, and thickness of each hydrogeologic unit. Computed textural information for each of the three basin-fill hydrogeologic units are stored in separate feature classes of polygonal cells where a single textural variable “percent coarse grained” is an attribute at each x,y location. The spatial data are accompanied by non-spatial tables that describe the sources of geologic information, a glossary of terms, a description of model units, and a Data Dictionary that duplicates the Entity and Attribute information contained in the metadata file. Spatial data are also presented as shapefiles and borehole data are provided in Microsoft Excel spreadsheet. The elevation, thickness, and textural model of each hydrogeologic unit are also released as raster files.

The Upper Colorado River Basin has a drainage area of about 113,500 square miles in western Colorado, eastern Utah, southwestern Wyoming, northeastern Arizona, and northwestern New Mexico. In the 1980’s and 1990’s, the Upper Colorado River Basin was a study area under of the U.S. Geological Survey's Regional Aquifer-System Analysis (RASA) program (Sun and Johnston, 1994; Sun and Weeks, 1991). The objectives of the RASA program for the Upper Colorado River Basin were to provide regional assessments of major aquifer systems by providing quantitative assessments of the occurrence, movement, and availability of water stored in rock formations that underlie the basin/watershed. These assessments included: (1) the classification of stratigraphic sequences into those intervals that constitute aquifers and those that constitute confining beds; and (2) the generation of maps that portrayed the areal extent of aquifers, aquifer thickness, and overburden thickness. These studies generated a large body of subsurface geologic information as part of the regional aquifer analyses, some of which are captured in this digital data release. Aquifer systems in consolidated rocks in the Upper Colorado River Basin have been grouped into three major subdivisions of sedimentary rocks; in descending order: (1) Tertiary-rock aquifers, (2) Mesozoic-rock aquifers, and (3) Paleozoic-rock aquifers (Taylor and others, 1983; 1986). Within each aquifer group, rocks are further divided into aquifers and confining units on the basis of lithology, depositional environment, and hydrologic characteristics (Glover and others, 1998; Freethy and Cordy, 1991; Geldon, 2003). In a report describing consolidated-rock aquifers of Mesozoic age, 10 hydrostratigraphic units were defined, five aquifers and five confining units (Freethy and Cordy, 1991). The hydrostratigraphic units of Mesozoic age occur throughout the Upper Colorado River Basin study area, except in parts of the Uinta, White River, and San Juan uplifts where they have been removed by erosion. These hydrostratigraphic units are part of the stratigraphic sequence of Mesozoic rocks that has a total thickness of more than 8,000 ft. The sandstones of Mesozoic age are the most areally extensive and the thickest bedrock aquifers in the Upper Colorado River Basin. This digital dataset contains spatial datasets corresponding to the contoured subsurface maps produced by the U.S. Geological Survey's Regional Aquifer-System Analysis (RASA) of the Upper Colorado River Basin (Freethy and Cordy, 1991). The data define the thickness and extent of principal hydrostratigraphic units of Mesozoic age in the basin. The digital data describe the following hydrostratigraphic units: the Chinle-Moenkopi confining unit, the Navajo-Nugget aquifer, the Carmel-Twin Creek confining unit, the Entrada-Preuss aquifer, the Curtis-Stump confining unit, the Morrison aquifer, the Morrison confining unit, the Dakota aquifer, the Mancos confining unit, and the Mesaverde aquifer. Contoured thickness data for each unit are contained in line features classes within a geodatabase; unit extents are represented as polygon feature classes. Both types of data are also saved as individual shapefiles. Nonspatial tables define the data sources used, and the stacking hierarchy and component geologic formations of each the of hydrostratigraphic units.

The Upper Colorado River Basin has a drainage area of about 113,500 square miles in western Colorado, eastern Utah, southwestern Wyoming, northeastern Arizona, and northwestern New Mexico. In the 1980’s and 1990’s, the Upper Colorado River Basin was a study area under of the U.S. Geological Survey's Regional Aquifer-System Analysis (RASA) program (Sun and Johnston, 1994; Sun and Weeks, 1991). The objectives of the RASA program for the Upper Colorado River Basin were to provide regional assessments of major aquifer systems by providing quantitative assessments of the occurrence, movement, and availability of water stored in rock formations that underlie the basin/watershed. These assessments included: (1) the classification of stratigraphic sequences into those intervals that constitute aquifers and those that constitute confining beds; and (2) the generation of maps that portrayed the areal extent of aquifers, aquifer thickness, and overburden thickness. These studies generated a large body of subsurface geologic information as part of the regional aquifer analyses, some of which are captured in this digital data release. Aquifer systems in consolidated rocks in the Upper Colorado River Basin have been grouped into three major subdivisions of sedimentary rocks; in descending order: (1) Tertiary-rock aquifers, (2) Mesozoic-rock aquifers, and (3) Paleozoic-rock aquifers (Taylor and others, 1983; 1986). Within each aquifer group, rocks are further divided into aquifers and confining units on the basis of lithology, depositional environment, and hydrologic characteristics (Glover and others, 1998; Freethy and Cordy, 1991; Geldon, 2003). In a report describing consolidated-rock aquifers of Mesozoic age, 10 hydrostratigraphic units were defined, five aquifers and five confining units (Freethy and Cordy, 1991). The hydrostratigraphic units of Mesozoic age occur throughout the Upper Colorado River Basin study area, except in parts of the Uinta, White River, and San Juan uplifts where they have been removed by erosion. These hydrostratigraphic units are part of the stratigraphic sequence of Mesozoic rocks that has a total thickness of more than 8,000 ft. The sandstones of Mesozoic age are the most areally extensive and the thickest bedrock aquifers in the Upper Colorado River Basin. This digital dataset contains spatial datasets corresponding to the contoured subsurface maps produced by the U.S. Geological Survey's Regional Aquifer-System Analysis (RASA) of the Upper Colorado River Basin (Freethy and Cordy, 1991). The data define the thickness and extent of principal hydrostratigraphic units of Mesozoic age in the basin. The digital data describe the following hydrostratigraphic units: the Chinle-Moenkopi confining unit, the Navajo-Nugget aquifer, the Carmel-Twin Creek confining unit, the Entrada-Preuss aquifer, the Curtis-Stump confining unit, the Morrison aquifer, the Morrison confining unit, the Dakota aquifer, the Mancos confining unit, and the Mesaverde aquifer. Contoured thickness data for each unit are contained in line features classes within a geodatabase; unit extents are represented as polygon feature classes. Both types of data are also saved as individual shapefiles. Nonspatial tables define the data sources used, and the stacking hierarchy and component geologic formations of each the of hydrostratigraphic units.

The San Juan basin is a significant physical and structural element in the southeastern part of the Colorado Plateau physiographic province. The San Juan basin is in New Mexico, Colorado, Arizona, and Utah and has an area of about 21,600 square miles. The basin is about 140 miles wide and about 200 miles long. In the 1980’s and 1990’s, the U.S. Geological Survey's Evolution of Sedimentary Basins—San Juan basin study produced several reports on aspects of the stratigraphy and sedimentology of the basin. A report of the stratigraphy, structure, and paleogeography of Pennsylvanian and Permian rocks included 18 plates of contoured elevation and thickness data for various units (Huffman and Condon, 1993). This digital dataset contains spatial datasets corresponding to selected contour maps from the Evolution of Sedimentary Basins—San Juan basin study. The data help define the elevation, thickness, and extent of principal stratigraphic units of the basin. The digital data describe the following stratigraphic units: the Molas Formation, the Rico Formation, the elevation of the top of Permian strata, and the estimated thickness of Permian and Pennsylvanian rocks. Digital data for each unit are contained in individual features classes within a geodatabase (also saved as individual shapefiles). Feature classes have a single attribute, either elevation or thickness, that represents the contoured value. Contoured values are given in feet, to maintain consistency with the original publication, and in meters.

The San Juan basin is a significant physical and structural element in the southeastern part of the Colorado Plateau physiographic province. The San Juan basin is in New Mexico, Colorado, Arizona, and Utah and has an area of about 21,600 square miles. The basin is about 140 miles wide and about 200 miles long. In the 1980’s and 1990’s, the U.S. Geological Survey's Evolution of Sedimentary Basins—San Juan basin study produced several reports on aspects of the stratigraphy and sedimentology of the basin. A report of the stratigraphy, structure, and paleogeography of Pennsylvanian and Permian rocks included 18 plates of contoured elevation and thickness data for various units (Huffman and Condon, 1993). This digital dataset contains spatial datasets corresponding to selected contour maps from the Evolution of Sedimentary Basins—San Juan basin study. The data help define the elevation, thickness, and extent of principal stratigraphic units of the basin. The digital data describe the following stratigraphic units: the Molas Formation, the Rico Formation, the elevation of the top of Permian strata, and the estimated thickness of Permian and Pennsylvanian rocks. Digital data for each unit are contained in individual features classes within a geodatabase (also saved as individual shapefiles). Feature classes have a single attribute, either elevation or thickness, that represents the contoured value. Contoured values are given in feet, to maintain consistency with the original publication, and in meters.

This digital dataset was created as part of a U.S. Geological Survey hydrologic resource assessment and development of an integrated numerical hydrologic model of the hydrologic system of the Upper Colorado River Basin, an extensive region covering approximately 412,000 square kilometers in five states: Wyoming, Colorado, Utah, Arizona, and New Mexico. As part of this larger study, the USGS developed this digital dataset of geologic data and a three-dimensional hydrogeologic framework model (3D HFM) that define the elevation, thickness, and extent of seven hydrogeologic units in the Upper Colorado River Basin. The hydrogeologic setting of the Colorado Plateau consists of thick Paleozoic, Mesozoic, and Cenozoic aquifers, predominantly sandstone and limestone, that are separated by regionally extensive confining units of fine-grained siliciclastic rocks, all overlain by generally thin Quaternary sediments. Based in part on the need to maintain consistency with previously published USGS hydrogeologic studies in the region (Craigg, 2001; Freethy and Cordy, 1991; Geldon, 2003; Glover and others, 1998), seven hydrogeologic units (HGUs) were modeled across the Upper Colorado River Basin: (1) TIPCG, Tertiary Intrusions and Precambrian Granite, a confining unit that includes crystalline igneous and metamorphic rocks of all ages; (2) PZAU, Paleozoic aquifer unit, including Mississippian and Pennsylvanian carbonate rocks and Permian sandstones and conglomerate; (3) CMCU, the Chinle-Moenkopi confining unit, including red Triassic fine-grained sandstone, siltstone and shale; (4) MZAU, Mesozoic aquifer unit, including thick, dominantly eolian Triassic and Jurassic sandstones of the Glen Canyon Group and overlying dominantly fluvial and alluvial sandstones and shales of the San Rafael Group; (5) MCU, Mancos confining unit, including thick sections of Cretaceous marine shale; (6) KTAU, Cretaceous-Tertiary aquifer unit, including marginal marine to continental siliciclastic sections with locally thick Cenozoic volcanic rocks; and (7) QAU, Quaternary alluvial unit, consisting predominantly of alluvial sediment along modern washes and drainages. Surface and subsurface data compiled include a digital elevation model, geologic contacts shown on geologic maps, reported formation tops from oil and gas wells, and structure contour and isopach maps. Input surface and subsurface data have been reduced to points that define the elevation of the top of each hydrogeologic units; these point data sets serve as digital input to the 3D framework model. Surfaces representing the elevation of the top of each hydrogeologic unit were created through standard interpolation methods of input data points using two-dimensional horizon gridding software. Data were interpolated using faults as two-dimensional boundaries that acted as a barrier to information flow during interpolation. Resultant HGU elevations were mapped to an x, y array of 1-km polygonal cells in geographic information systems (GIS) software. Each cell within the array was assigned attributes representing the top elevation thickness of each hydrogeologic unit. This polygonal cellular array is essentially a “flattened”, 2.5D (multiple z values stored at each x,y coordinate) representation of the digital 3D HFM, defining the elevation, thickness, and extent of each of the 7 HGUs at every cell centroid. The digital dataset includes a geospatial database that contains the following data elements: (1) a digital hydrogeologic map and map of fault locations for the model domain, (2) compiled digital input data to the 3D HFM for each hydrogeologic unit; (3) the 3D HFM, stored as interpolated elevation and thickness of the seven hydrogeologic as attributes of an XY array of polygonal cells; and (4) elevation surfaces of each HGU interpolated as triangular irregular networks (TINs) and extruded volumes (“multipatch”). The spatial data are accompanied by non-spatial tables that describe the sources of geologic