This resource contains Lidar-DEM collection status shapefiles from the Texas Natural Resources Information System (TNRIS) [http://tnris.org]. November 2023 updates: this year, TNRIS changed its name to Texas Geographic Information Office (TxGIO). The domain name hasn't changed yet, but the data hub is continually evolving. See [1], [2] for current downloadable data.

For purposes of Hurricane Harvey studies, the 1-m DEM for Harris County (2008) has also been uploaded here as a set of 4 zipfiles containing the DEM in tiff files. See [1] for a link to the current elevation status map and downloadable DEMs.
Project name: H-GAC 2008 1m Datasets: 1m Point Cloud, 1M Hydro-Enforced DEM, 3D Breaklines, 1ft and 5ft Contours Points per sq meter: 1 Total area: 3678.56 sq miles Source: Houston-Galveston Area Council (H-GAC) Acquired by: Merrick, QA/QC: Merrick Catalog: houston-galveston-area-council-h-gac-2008-lidar

References: [1] TNRIS/TxGIO StratMap elevation data [https://tnris.org/stratmap/elevation-lidar/] [2] TNRIS/TxGIO DataHub [https://data.tnris.org/]

The DLG described in this document has been produced for use in a statewide base map series for the State of Texas. This metadata document describes a Hypsography digital line graph (DGL-3) file produced by Titan Systems Corp. of Portland, OR for the Texas Strategic Mapping Program (StratMap). StratMap is administered by the Texas Water Development Board (TWDB) and managed by its Texas Natural Resources Information System (TNRIS) division. StratMap was created to produce seven digital base map layers for Texas. StratMap is supported by contributions from the federal government, the State of Texas, and local and regional organizations. The DLG products produced for StratMap and the Texas Water Development Board under the Texas StratMap Program reside in the public domain. As described by USGS's Standards for Digital Line Graphs, a digital line graph is a vector file of large-scale data primarily from 1:24,000 scale USGS topographic quadrangles.

This resource contains statewide networks of roadways, railroads, bridges, and low-water crossings, for Texas only.

Roadways detail: The Transportation Planning and Programming (TPP) Division of the Texas Department of Transportation (TxDOT) maintains a spatial dataset of roadway polylines for planning and asset inventory purposes, as well as for visualization and general mapping. M values are stored in the lines as DFOs (Distance From Origin), and provide the framework for managing roadway assets using linear referencing. This dataset covers the state of Texas and includes on-systems routes (those that TxDOT maintains), such as interstate highways, U.S. highways, state highways, and farm and ranch roads, as well as off-system routes, such as county roads and local streets. Date valid as of: 12/31/2014. Publish Date: 05/01/2015. Update Frequency: Quarterly.

Bridges detail: As with the roadways, both on-system and off-system bridges are maintained in separate datasets (54,844 total bridges, 36,007 on-system and 18,837 off-system). Bridges have numerous useful attributes, see coding guide [1] for documentation. One such attribute identifies structures that cross water: the second digit of Item 42 “Type of Service”. If the second digit is between 5 and 9 (inclusive) then the structure is over water. The bridges datasets are valid as of December 2016.

The roadways and bridges datasets contained here were obtained directly from TxDOT through personal correspondence. An additional transportation data resource is the Texas Natural Resources Information System (TNRIS) [3]. The railroads and low-water crossings were obtained through TNRIS.

November 2023 updates: in the years since this data archive was first published, TxDOT has developed an open data portal for downloading their roadway inventory and other datasets. Also, in 2023 TNRIS was renamed as the Texas Geographic Information Office (TxGIO). Their datahub [3] is continually evolving, but still has the tnris.org domain for now. We are not updating any of the basemap data in the contents list below, which was current at the time of Hurricane Harvey.

References [1] TxDOT Bridges Coding Guide (download below) [2] TxDOT Open Data Portal [https://gis-txdot.opendata.arcgis.com/] [3] TNRIS/TxGIO data downloads [https://data.tnris.org/]

The Watershed Boundary Dataset (WBD) in Texas was developed as a collaborative product by TWDB, USDA Natural Resources Conservation Service (NRCS) and USGS. The WBD is a seamless and consistent national Geographic Information System (GIS) database at a scale of 1:24,000, which has been extensively reviewed and matches to a minimum the USGS topographical 7.5 minute quadrangle map series. The traditional 8-digit hydrologic units (HUCs) have been further divided into smaller units called watersheds (10-digit HUCs) and sub-watersheds (12-digit HUCs). The watershed level is typically 40,000 to 250,000 acres, and the sub-watershed level is typically 10,000 to 40,000 acres with some as small as 3,000 acres. Federal Certification of the WBD for Texas was completed jointly by the NRCS and USGS in January 2009.This dataset, which has been developed to national standards (USGS and USDA/NRCS 2009), is intended to be managed in concert with the National Hydrography Dataset (NHD) as part of the Stewardship Program, supported by the U.S. Geological Survey with partner Federal, State and Local entities. Continuing development of the WBD in Texas will be completion of the 10 and 12-digit delineations of coastal watersheds. Some of the low lying coastal HUCs were not completed due to a lack of ultra high resolution elevation data necessary to determine the watershed boundaries.

ELEVATION.contours_2021 Summary The Texas Natural Resources Information System (TNRIS) contracted Sanborn to fly LiDAR in March of 2021. TNRIS then created the contours in the Spring of 2022 using Global Mapper. Description This layer represents contour elevation lines as of the March 2021. The contours are derived from LiDAR data, collected in the March 2021. Contours were generated using Global Mapper, sample spacing used to create the contours is consistent with the Nominal Point Spacing (NPS), of the source LiDAR dataset from which it was derived. Lines were automatically smoothed while being generated by Global Mapper. Important: The LiDAR data was created using UTM zone 14N and was projected in Central Texas State Plane (NAD 83) FIPS 4203. For contour type: 1 = Minor Contour 2 = Intermediate Contour 3 = Major Contour Credits The Texas Natural Resources Information System (TNRIS) Use limitations This map has been produced by the City of Austin for the cartographic purposes. No warranty is made by the City or TNRIS regarding its accuracy or completeness.

(See USGS Digital Data Series DDS-69-E) A geographic information system focusing on the Jurassic-Cretaceous Cotton Valley Group was developed for the U.S. Geological Survey's (USGS) 2002 assessment of undiscovered, technically recoverable oil and natural gas resources of the Gulf Coast Region. The USGS Energy Resources Science Center has developed map and metadata services to deliver the 2002 assessment results GIS data and services online. The Gulf Coast assessment is based on geologic elements of a total petroleum system (TPS) as described in Dyman and Condon (2005). The estimates of undiscovered oil and gas resources are within assessment units (AUs). The hydrocarbon assessment units include the assessment results as attributes within the AU polygon feature class (in geodatabase and shapefile format). Quarter-mile cells of the land surface that include single or multiple wells were created by the USGS to illustrate the degree of exploration and the type and distribution of production for each assessment unit. Other data that are available in the map documents and services include the TPS and USGS province boundaries. To easily distribute the Gulf Coast maps and GIS data, a web mapping application has been developed by the USGS, and customized ArcMap (by ESRI) projects are available for download at the Energy Resources Science Center Gulf Coast website. ArcGIS Publisher (by ESRI) was used to create a published map file (pmf) from each ArcMap document (.mxd). The basemap services being used in the GC map applications are from ArcGIS Online Services (by ESRI), and include the following layers: -- Satellite imagery -- Shaded relief -- Transportation -- States -- Counties -- Cities -- National Forests With the ESRI_StreetMap_World_2D service, detailed data, such as railroads and airports, appear as the user zooms in at larger scales. This map service shows the structural configuration on the top of the Cotton Valley Group in feet below sea level. The map was produced by calculating the difference between a datum at the land surface (either the kelly bushing elevation or the ground surface elevation) and the reported depth of the Cotton Valley Group. This map service also shows the thickness of the interval from the top of the Cotton Valley Group to the top of the Smackover Formation.

This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the _location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.

(See USGS Digital Data Series DDS-69-H) A geographic information system focusing on the Upper Cretaceous Taylor and Navarro Groups was developed for the U.S. Geological Survey's (USGS) 2003 assessment of undiscovered, technically recoverable oil and natural gas resources of the Gulf Coast Region. The USGS Energy Resources Science Center has developed map and metadata services to deliver the 2003 assessment results GIS data and services online. The Gulf Coast assessment is based on geologic elements of a total petroleum system (TPS) as described in Condon and Dyman (2005). The estimates of undiscovered oil and gas resources are within assessment units (AUs). The hydrocarbon assessment units include the assessment results as attributes within the AU polygon feature class (in geodatabase and shapefile format). Quarter-mile cells of the land surface that include single or multiple wells were created by the USGS to illustrate the degree of exploration and the type and distribution of production for each assessment unit. Other data that are available in the map documents and services include the TPS and USGS province boundaries. To easily distribute the Gulf Coast maps and GIS data, a web mapping application has been developed by the USGS, and customized ArcMap (by ESRI) projects are available for download at the Energy Resources Science Center Gulf Coast website. ArcGIS Publisher (by ESRI) was used to create a published map file (pmf) from each ArcMap document (.mxd). The basemap services being used in the GC map applications are from ArcGIS Online Services (by ESRI), and include the following layers: -- Satellite imagery -- Shaded relief -- Transportation -- States -- Counties -- Cities -- National Forests With the ESRI_StreetMap_World_2D service, detailed data, such as railroads and airports, appear as the user zooms in at larger scales.

The statewide Texas boundary dataset is one component of the Texas Strategic Mapping Program (StratMap). The StratMap program developed seven digital base map, or ?Framework,? layers for Texas. StratMap is managed by the Texas Natural Resources Information System (TNRIS), a division of the Texas Water Development Board (TWDB). All data produced through StratMap are available in the public domain.

The StratMap boundary dataset produced files corresponding to multi-county councils of government across Texas as well as a statewide dataset. Each boundary file has five themes including state, county, city, parks, and other (i.e. federal lands, landmarks, country clubs). The data sources for each council of government coverage vary but could include digital orthophoto quads (DOQs), USGS digital raster graphics (DRGs), Texas Department of Transportation data, and local data from the council of governments or its component governments. The attribute coding scheme is designed to accommodate several basic cartographic data categories such as feature type, feature name, jurisdiction entity, data source used in feature collection, data source date and revision date(s) if applicable.

The StratMap boundary ESRI export file was exported as an ESRI shape file for editing. The county boundary along the gulfcoast was edited to reflect the 3 marine league limit instead of the 3 nautical mile limit mistakingly included in the original ESRI export file. Three new shape files were created that include the Texas gulfcoast digitized by TxDOT and aggregated by TNRIS (counties_with_Gulf_Coast, COGs_with_Gulf_Coast, and Texas_with_Gulf_Coast). Completed shape files were imported into an ESRI personal geodatabase for distribution.

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

These datasets are an ongoing collection of digital Landsat MSS and TM data of the State of Texas. MSS data are collected in four spectral channels with a resolution near 80m.TM data are collected in seven spectral channels with a resolution near 30m.

(See USGS Digital Data Series DDS-69-E) A geographic information system focusing on the Cretaceous Travis Peak and Hosston Formations was developed for the U.S. Geological Survey's (USGS) 2002 assessment of undiscovered, technically recoverable oil and natural gas resources of the Gulf Coast Region. The USGS Energy Resources Science Center has developed map and metadata services to deliver the 2002 assessment results GIS data and services online. The Gulf Coast assessment is based on geologic elements of a total petroleum system (TPS) as described in Dyman and Condon (2005). The estimates of undiscovered oil and gas resources are within assessment units (AUs). The hydrocarbon assessment units include the assessment results as attributes within the AU polygon feature class (in geodatabase and shapefile format). Quarter-mile cells of the land surface that include single or multiple wells were created by the USGS to illustrate the degree of exploration and the type and distribution of production for each assessment unit. Other data that are available in the map documents and services include the TPS and USGS province boundaries. To easily distribute the Gulf Coast maps and GIS data, a web mapping application has been developed by the USGS, and customized ArcMap (by ESRI) projects are available for download at the Energy Resources Science Center Gulf Coast website. ArcGIS Publisher (by ESRI) was used to create a published map file (pmf) from each ArcMap document (.mxd). The basemap services being used in the GC map applications are from ArcGIS Online Services (by ESRI), and include the following layers: -- Satellite imagery -- Shaded relief -- Transportation -- States -- Counties -- Cities -- National Forests With the ESRI_StreetMap_World_2D service, detailed data, such as railroads and airports, appear as the user zooms in at larger scales. This map service shows the structural configuration of the top of the Travis Peak or Hosston Formations in feet below sea level. The map was produced by calculating the difference between a datum at the land surface (either the Kelly bushing elevation or the ground surface elevation) and the reported depth of the Travis Peak or Hosston. This map service also shows the thickness of the interval from the top of the Travis Peak or Hosston Formations to the top of the Cotton Valley Group.

This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. During the planning and coordination phase, CTI staff reviewed all available existing digital imagery for its potential use as the base-map for the vegetation mapping at AMIS. The most promising and easy to access was the data catalog found on the Texas Natural Resource Information System (TNRIS) website. Navigating to the orthoimagery-statewide web page, the list of existing imagery covering AMIS included multiple products produced annually by the U.S. Department of Agriculture’s National Aerial Imagery Program (NAIP). The corresponding NAIP 2010 1-meter (pixel resolution) quarter-quad datasets for AMIS were downloaded and used during the preliminary planning and mapping stages. Since 2012, other orthoimagery covering AMIS was made available on TNRIS and was downloaded by CTI. These included the 2012 and 2016 versions of the NAIP 1-meter quarter quads and the 2015 Texas Orthoimagery Program (TOP) 50-cm quarter quads (Figure 13). All contained an infrared band and the NAIP 2016 product was determined useful for supplying the most up-to-date vegetation patterns (especially in the dynamic inundation zone and other recently disturbed sites) and as an ancillary dataset if needed for hard to view canyons and within shadows along the river bluffs. Overall the 2015 TOP product was found to be superior to the 2016 NAIP imagery due to its finer resolution and higher contrast. The 2015 TOP imagery was then selected and used as the primary basemap for the remainder of the mapping efforts.

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. To complete the automated phase, CTI subcontracted with Photo Science (based in Lexington, KY) to create a BIBE landform layer and a drainage/wash layer. Photo Science reviewed and acquired all National Elevation Dataset (NED) 10-meter DEMs for the project area and mosaiced them into a seamless coverage. The DEM data was then manipulated to create the following derived spatial layers: aspect, slope, three hillshade datasets (different azimuth angles), a contour range layer, and a compound topographic index (or wetness index) that models water flow and accumulation. Similarly, Photo Science also acquired the 2012 National Agriculture Imagery Program (NAIP) imagery for the entire project area as high-resolution (1-meter pixels) digital ortho quarter quadrangles (DOQQs). The NAIP DOQQs were mosaiced and resampled from 1-meter to 10-meter pixels to match the DEM resolution. Erdas Imagine software was then used to derive a normalized difference vegetation index (NDVI) and a near infrared (NIR) band texture layer from the imagery using a 9x9 moving window. During the planning and coordination phase, CTI staff reviewed all available digital imagery for its potential use as the BIBE basemap. The most promising and easy to access was the data catalog found on the Texas Natural Resource Information System (TNRIS) website. Navigating to the orthoimagery-statewide web page, the list of existing imagery covering BIBE included multiple NAIP products. The corresponding 2010 and 2012 NAIP 1-meter DOQQs for BIBE were downloaded and used during the early planning stages of this project and to produce field maps and interim products.

The Apparent Wilcox Group thickness maps are contoured from location and top information derived from the Petroleum Information (PI) Wells database. The Wilcox apparent thickness map was constructed by searching for Wilcox and Midway Group tops. Apparent thickness is computed by subtracting Midway top from the Wilcox top. Geographic control is superimposed on the maps from USGS state line, county, elevation and other data files. The veracity of the PI Wells database is being checked by comparison to published cross sections and geologic maps.

Interpretation of the depth to Wilcox and apparent thickness maps along with published measured sections and cross sections indicates that portions of Texas, Louisiana, Mississippi and Alabama contain broad areas where a 20 to 40 foot net thickness of lignite and coal occur at shallow depths. The thicker coal zones are attributed to growth faulting or rift zones influencing peat deposition. The depth to Wilcox map shows several areas where dome-like uplifts and bench-like coal-bearing rock are buried to depths less than 5,000 ft.

This isopach map shows the thickness of the interval from the top of the Travis Peak or Hosston Formations to the top of the Cotton Valley Group. The map was produced by first subtracting the values of the top of the Travis Peak or Hosston from those of the top of the Cotton Valley Group. This resulted in a data set of 8,585 values for which locations were available. After deleting the wells with obvious data problems, a total of 8414 wells were used to generate the map. The data are provided as both lines and polygons, and the proprietary wells that penetrate this interval are graphically displayed as quarter-mile cells.

The well information was initially retrieved from the IHS Energy Group, PI/Dwights PLUS Well Data on CD-ROM, which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary PI/Dwights PLUS Well Data. No proprietary data are displayed or included in the cell maps. The data from PI/Dwights PLUS Well Data are current as of April 2001.

This map shows the structural configuration of the top of the Travis Peak or Hosston Formations in feet below sea level. The map was produced by calculating the difference between a datum at the land surface (either the Kelly bushing elevation or the ground surface elevation) and the reported depth of the Travis Peak or Hosston. This resulted in 18,941 wells for which locations were available. After deleting the wells with obvious data problems, a total of 18,933 wells were used for the map. The data are provided as both lines and polygons, and the proprietary wells that penetrate the top of the Travis Peak or Hosston Formations are graphically displayed as quarter-mile cells.

The well information was initially retrieved from the IHS Energy Group, PI/Dwights PLUS Well Data on CD-ROM, which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary PI/Dwights PLUS Well Data. No proprietary data are displayed or included in the cell maps. The data from PI/Dwights PLUS Well Data are current as of April 2001.

Publish date: 9/2024This data set contains vector polygons representing the coastal habitats of Texas classified according to the Environmental Sensitivity Index (ESI) classification system. This data set comprises a portion of the ESI data for Texas. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for two main components: shoreline habitats and sensitive biological resources. See also the ESIL data layer, part of the larger Texas ESI database, for additional ESI information.Environmental Sensitivity Index (ESI) is more properly known as 'Sensitivity of Coastal Habitats and Wildlife to Spilled Oil' Atlases. The term 'ESI' is often used in reference to the whole dataset, but the term 'ESI' is really a reference to the classification system of shoreline types known as Environmental Sensitivity Index, that classifies a shoreline on a scale from 1 to 10 based upon overall sensitivity to spilled oil. Texas General Land Office (TGLO) is the lead agency for coastal and marine oil spill prevention and response as set forth in the Oil Spill Prevention and Response Act (OSPRA), Chapter 40 of the Texas Natural Resources Code.The data were compiled during 2019-2024. The currentness dates for this data range from 2009 to 2014 and are documented in the Lineage section.

Data was compiled from published sources by US Geological Survey geoscientists Mark J. Mihalasky, Susan M. Hall and Robert A. Zielinski. This dataset was provided to the U.S. Energy Information Administration in February of 2019 to facilitate updating of national uranium resource distribution maps. The U.S. Department of Energy systematically assessed the uranium resource potential of the United States from 1974 to 1982 as part of the National Uranium Resource Evaluation (NURE) program. This layer shows areas that the NURE methodology considered favorable for uranium. For information about the methodology used to delineate these favorable areas as well as a description of relative favorability see: U.S. Department of Energy, 1980, An assessment report on uranium in the United States of America; U.S. Department of Energy, Grand Junction, Colorado, GJO-111(80), 1980. p. 148.The U.S. Geological Survey analyzed whether the NURE favorable areas identified in Texas accurately predicted the location of discrete uranium deposits. This study is: Review of the NURE assessment of the U.S. Gulf Coast Uranium Province, Natural Resources Research, v.22, issue 3, 18 p. and is available at: https://pubs.er.usgs.gov/publication/70121427