This digital dataset release of the La Junta, Colorado and Kansas quadrangle is composed of previously published elevation contours, structure contours on the limits of the Morrison, Dakota, and Purgatorie Formations, and geologic formational data. The digitizing of this map is to provide a more accessible dataset to be available for public usage. The original dataset was part of an eight-part series of maps in Colorado and Kansas, this map modified in part by reconnaissance by G.R. Scott in 1968. The entirety of this dataset includes both spatial and non-spatial data held in a singular, GeMS compliant geodatabase. This geodatabase includes a geologic map, geologic map feature class holding contact and fault lines, iso value lines, structure contours and other geologic lines, geologic map units, and well data; nonspatial data recorded in standalone tables such as a description of map units, glossary, data source reference, geomaterials dictionary, and their entities and attributes. Data source references include web links to published standards, data dictionaries, and any other referenced data within the published map.

Direct link to download a geodatabase containing elevation contours for the entire state of Colorado at contour intervals of 10, 20, and 40. The most recent contour line was entered on 10/01/2009. Dataset is maintained by the U.S. Geological Survey.

Under the direction and funding of the National Cooperative Geologic Mapping Program (NCGMP) with guidance and encouragement from the United States Geological Survey (USGS), there has been a decadal strategic plan in place to call for geologic mapping across the nation. This call has been increasing the need for digital data that has not yet been made available. With such a demand, physical data is being re-released as vector-based, GIS operable data, which is viable as a corporate asset to the USGS. This collection of reports is part of the compilation and synthesis efforts hampered by the distributed nature of subsurface investigations at the USGS and a general lack of cataloging and archiving of 3-D geological models and subsurface products. Subsurface mapping activities are decentralized and the results are released on a project-by-project basis. This has led to repeats in data being created, thus wasting both time and energy of the end users. Having a clear understanding of what data is available for GIS use is paramount in the mapping groups. As digital collections of data continue, data releases like this will not be uncommon. This release features structure contour, isopach, and thickness data of stratigraphic units as well as chronostratigraphy. Units included in this release span from North Dakota to as far south as New Mexico and are as follows: San Andres Limestone, Glorieta Sandstone, Leadville Limestone, Cutler Group, Morrison Formation, Colorado Shale, Fox Hills Sandstone, Goose Egg Formation, Minnelusa Formation, Mowry Shale, Pierre Shale, Sundance Formation Unconformity, Wasatch Formation, Permian age units, Trout Creek Sandstone, Castlegate Sandstone, Exshaw or Kinderhook Black Shale, San Juan Volcanics, Lewis Shale, Almond Formation, Baxter Shale, Dakota Sandstone, Cretaceous Onlap, and Tensleep Sandstone.

These data consist of rectified aerial photographs, measurements of active channel width, measurements of river and floodplain bathymetry and topography, and ancillary data. These data are specific to the corridor of the Colorado River in Canyonlands National Park between Potash, Utah and the confluence of the Green and Colorado Rivers near Spanish Bottom, Utah. The time period for these data are 1940 to 2018. The shapefile data are measurements of features of the active river channel and floodplains of the Colorado River. The raster data are aerial images and digital elevation models (DEMs) for segments of the Colorado River in Canyonlands National Park, Utah. The aerial images depict the river channel and adjacent floodplains for most of the corridor of the Colorado River in Canyonlands National Park upstream from the confluence with the Green River. The images were acquired from public sources and orthorectified and mosaiced for this study. The DEMs cover the river channel and adjacent floodplain for the Lockhart Creek segment of the Colorado River within Canyonlands National Park and include both bathymetric and topographic data. The bathymetric data were collected by the U.S. Geological Survey Grand Canyon Monitoring and Research Center with funding provided by the National Park Service. The topographic data are airborne lidar data that were collected for the state of Utah by a contractor. The lidar data are available at https://doi.org/10.5069/G9RV0KSQ.

This geodatabase was built to cover several geothermal targets developed by Flint Geothermal in 2012 during a search for high-temperature systems that could be exploited for electric power development. Several of the thermal springs and wells in the Routt Hot Spring and Steamboat Springs areahave geochemistry and geothermometry values indicative of high-temperature systems.

Datasets include:

1. Results of reconnaissance shallow (2 meter) temperature surveys
2. Air photo lineaments
3. Groundwater geochemistry
4. Georeferenced geologic map of Routt County
5. Various 1:24,000 scale topographic maps

The top of the Upper Cretaceous Dakota Sandstone is present in the subsurface throughout the Uinta and Piceance basins of UT and CO and is easily recognized in the subsurface from geophysical well logs. This digital data release captures in digital form the results of two previously published contoured subsurface maps that were constructed on the top of Dakota Sandstone datum; one of the studies also included a map constructed on the top of the overlying Mancos Shale. A structure contour map of the top of the Dakota Sandstone was constructed as part of a U.S. Geological Survey Petroleum Systems and Geologic Assessment of Oil and Gas in the Uinta-Piceance Province, Utah and Colorado (Roberts, 2003). This surface, constructed using data from oil and gas wells, from digital geologic maps of Utah and Colorado, and from thicknesses of overlying stratigraphic units, depicts the overall configuration of major structural trends of the present-day Uinta and Piceance basins and was used to define the elevation of the base of a specific source-rock interval as part of the assessment. A second structure contour map of the top of the Dakota Sandstone, along with a contoured map showing the elevation of the top of the overlying Mancos Shale, was constructed from well data as part of a stratigraphic research thesis of the Douglas Creek Arch, a structural high which separates the Uinta and Piceance basins (Kuzniak, 2009). This digital dataset contains spatial datasets corresponding to the structure contour maps of the top of the Dakota Sandstone produced by the U.S. Geological Survey's petroleum assessment (Roberts, 2003) and the topical studies along the Douglas Creek Arch (Kuzniak, 2009). Both structure contour maps of the top of the Dakota Sandstone were digitized and attributed as GIS data sets so that these data could be used in digital form as part of U.S. Geological Survey and other studies of these basins. The contours depicting the elevation of the top of the Dakota Sandstone are contained in line feature classes within a geographic information system geodatabase and are also saved as individual shapefiles. Feature classes have a single attribute, elevation, that represents the contoured value. Contoured values are given in feet, to maintain consistency with the original publication, and in meters. Nonspatial tables define the data sources used, define terms used in the dataset, and describe the geologic units. A tabular data dictionary describes the entity and attribute information for all attributes of the geospatial data and the accompanying nonspatial tables.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

This geologic map database compiles, in digital form, geologic data previously published as printed maps showing the altitude of the base of Dakota Sandstone and equivalent rocks on the Colorado Plateau in Arizona, Colorado, New Mexico, and Utah. Data were compiled from U.S. Geological Survey 1:250,000-scale geologic maps and other topical maps that included structure contours of the base of the Dakota Sandstone. Surface and subsurface data compiled include mapped polygons of the Dakota Sandstone and equivalent units, faults, fold axes, structure contours, and bedding attitudes calculated from the structure contours. All data were compiled as a GeMS digital database. This digital geologic database is a companion dataset to an interpretive USGS report "Methodology for Compilation of Previously Published Contour Data Showing the Altitude of the Base of Dakota Sandstone on the Colorado Plateau, Arizona, Colorado, New Mexico, and Utah". These digital data are a compilation of data from previously published maps of the base of the Dakota Formation made digital for the first time, providing a digital dataset for future scientific and resource evaluations of the Colorado Plateau region. The dataset includes a geographic information system geodatabase that contains mapped contacts and faults, map unit polygons of the Dakota Sandstone and stratigraphic equivalents, fold axes, structure contour lines, and point data of bedding attitudes. Vector data are attributed according to the USGS National Cooperative Geologic Mapping Program’s GeMS digital geologic map schema. The spatial data are accompanied by non-spatial tables that describe the sources of geologic information, a description of geologic map units, a glossary of terms, and a Data Dictionary that duplicates the Entity and Attribute information contained in the metadata file. To maximize usability, spatial data are also distributed as shapefiles and tabular data are distributed as ascii text files in comma separated values (CSV) format.

Open data. An index created from clipped elevation contour tiles for Douglas County Colorado

Development of a high-resolution digital elevation model (DEM) of the pre-Glen Canyon Dam topography in Glen Canyon National Recreation Area, Utah and Arizona was initiated to assist the U.S. Geological Survey (USGS) in its Lake Powell coring program in the fall of 2018 (https://www.usgs.gov/centers/ut-water/science/lake-powell-coring). Topographic surveys of Glen Canyon were commissioned by the Bureau of Reclamation during the planning stages for Lake Powell as part of the Colorado River Storage Project (S. 500, 1956). The Colorado River arm was surveyed by Alster and Associates, Inc. in 1958 and 1959 at a contour interval of 10-feet from the river surface at the future dam site through where the 3,750-foot contour crosses the channel (above Hite, UT). The San Juan River arm was surveyed by Fairchild Aerial Surveys, Inc. in 1947 at a contour interval of 20-feet from the confluence between the San Juan and Colorado Rivers through where the 4,100-foot contour crosses the channel (east of Mexican Hat, UT), though this DEM only includes topography up to 3,800 feet. Digitization of these contour maps into vector data was finalized in 2019 by the USGS Utah Water Science Center. The National Park Service, Glen Canyon National Recreation Area and the Bureau of Reclamation, and Glen Canyon Environmental Studies contributed in the digitization (c. 1999). The hydrologically corrected, 2-meter DEM was developed with the Topo to Raster tool in ArcMap (v. 10.6.1). These data are provided as-is and may be subject to revisions without warrant or consent.

The Mahogany ledge structure contour lines were needed to perform overburden calculations in the Piceance Basin, Colorado as part of a 2009 National Oil Shale Assessment.

U.S. Geological Survey 1:24,000 Topographic Maps of Gilpin County, Colorado

This digital data release contains geospatial geologic and paleontological data of the 1° x2 °, 1:250,000 Limon quadrangle covering eastern Colorado and western Kansas. The dataset is a digital reproduction of previously published U.S. Geological Survey field mapping which illustrates the spatial configuration of primarily Quaternary surficial units overlying upper Miocene, Oligocene, Paleocene, and Upper Cretaceous bedrock (Sharps, 1980). This quadrangle contains numerous outcrop of the Ogallala Formation, which is a prolific freshwater aquifer throughout the broader great plains. A structure contour map of the top of the Dakota Sandstone are included, which was constructed using selected oil and gas well logs (Sharps, 1980). The Dakota Sandstone is a productive hydrocarbon reservoir within the Limon quadrangle, and the broader Denver-Julesburg Basin. Point data for Mesozoic invertebrate fossil collection localities are depicted on the map, depicted with either Denver or Washington D.C. U.S. Geological Survey catalog numbers (Sharps, 1980). The digital geologic database presented here is an accurate replication of original US. Geological Survey mapping in the Limon quadrangle (Sharps, 1980). Geologic map polygons, fossil points, faunal zones, and structure contours were digitized and attributed as GIS data sets as part of the U.S. Geological Survey’s ongoing studies on a regional and national scale. The geologic map polygons, fossil point features, faunal zone lines, and structure contour lines are distributed as separate feature classes within a geographic information system geodatabase. Contoured elevation values are given in feet, to maintain consistency with the original publication, and in meters. Nonspatial tables define the data sources used, define terms used in the dataset, and describe the geologic units. A tabular data dictionary describes the entity and attribute information for all attributes of the geospatial data and the accompanying nonspatial tables.

20-meter contour map spanning the Silver Lake Watershed, including Green Lakes Valley, Niwot Ridge LTER, and parts of adjacent Brainard Lake Recreation Area and Indian Peaks Wilderness. Made from a filtered 10-meter lattice, which was made from the Niwot Ridge LTER TIN model (ltertin). This dataset was made to support hierarchical GIS databases at the Niwot Ridge LTER. Additional information concerning the Niwot Ridge LTER hierarchical GIS can be found in Walker et al. (1993).

This data release consists of three child items distinguishing the following types of data: light detection and ranging (lidar) point clouds (LPCs), digital elevation models (DEMs), and snow depth raster maps. These three data types are all derived from lidar data collected on small, uncrewed aircraft systems (sUAS) at study areas in the Upper Colorado River Basin, Colorado, from 2020 to 2022. These data were collected and generated as part of the U.S. Geological Survey's (USGS) Next Generation Water Observing Systems (NGWOS) Upper Colorado River Basin project.

This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...

The grid files presented here are in ASCII format that uses the definitions of the grid exchange format (GXF). The files can be viewed using a suitable word processing program. The different grids are: >Kfrco.gxf potassium concentrations in the rocks and soils >Ufrco.gxf uranium concentrations in the rocks and soils >Thfrco.gxf thorium concentrations in the rocks and soils >Magfrco.gxf residual magnetic field >Terrfrco.gxf digital elevations The data used to create the potassium (K), uranium (U), thorium (Th), and magnetic (Mag) grids were obtained as part of the National Uranium Resource Evaluation (NURE) Program of the U.S. Department of Energy (USDOE). The NURE Program included aerial surveys that collected gamma-ray and magnetic data. The aerial surveys were flown at a nominal altitude of 122 meters above the ground. The aerial survey flightlines were generally flown east- west with north-south tielines. For the data covering the mountains of the Colorado Front Range, the flightline spacing is 1 mile (1600 meters) for the east-west lines and about 8 miles (12.8 km) for the north-south tielines. For the data covering the plains to the east of the mountains, the flightline spacing is 3 miles (4800 m) for the east-west lines and about 16 miles (25.6 km) for the north-south tielines. In the mountains, helicopters were used with a detector volume of 2000 cubic inches (32.8 liters) of thallium doped sodium iodide (NaI(Tl)). Over the plains, fixed-wing aircraft were used with about 3300 cubic inches (54 liters) of NaI(Tl) detector. The magnetometers used were proton-precession magnetometers with base stations used to make diurnal corrections. The USDOE contracted with private contractors to conduct the aerial surveys and the contractors were responsible for all aspects of calibration and data processing. The data used to create the grid of digital elevations were derived from the U.S. Geological Survey (USGS) 1:250,000 topographic quadrangle maps. The topographic maps were digitized at intervals of three arc-seconds and were then averaged to intervals of 15 seconds. The resulting 15-second data were used to calculate the grid presented here. The units of the grid data are: >Potassium percent K >Uranium parts per million (ppm) eU >Thorium ppm eTh >Magnetic nano Teslas >Elevation meters

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 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.

These snow depth raster maps were generated from digital elevation models (DEMs) derived from light detection and ranging (lidar) data collected during multiple field campaigns in the three study areas near Winter Park, Colorado. Small, uncrewed aircraft systems (sUAS) collected lidar datasets to represent snow-covered and snow-free periods. More information regarding the sUAS used and data collection methods can be found in the Supplemental Information and process step sections of each study area individual metadata file.

Infrastructure, such as roads, airports, water and energy transmission and distribution facilities, sewage treatment plants, and many other facilities, is vital to the sustainability and vitality of any populated area. Rehabilitation of existing and development of new infrastructure requires three natural resources: natural aggregate (stone, sand, and gravel), water, and energy http://rockyweb.cr.usgs.gov/frontrange/overview.htm.

The principal goals of the U.S. Geological Survey (USGS) Front Range Infrastructure Resources Project (FRIRP) were to develop information, define tools, and demonstrate ways to: (1) implement a multidisciplinary evaluation of the distribution and quality of a region's infrastructure resources, (2) identify issues that may affect availability of resources, and (3) work with cooperators to provide decision makers with tools to evaluate alternatives to enhance decision-making. Geographic integration of data (geospatial databases) can provide an interactive tool to facilitate decision-making by stakeholders http://rockyweb.cr.usgs.gov/frontrange/overview.htm.