Provides regional identifiers for county based regions of various types. These can be combined with other datasets for visualization, mapping, analyses, and aggregation. These regions include:Metropolitan Statistical Areas (Current): MSAs as defined by US OMB in 2023Metropolitan Statistical Areas (2010s): MSAs as defined by US OMB in 2013Metropolitan Statistical Areas (2000s): MSAs as defined by US OMB in 2003Region: Three broad regions in North Carolina (Eastern, Western, Central)Council of GovernmentsProsperity Zones: NC Department of Commerce Prosperity ZonesNCDOT Divisions: NC Dept. of Transportation DivisionsNCDOT Districts (within Divisions)Metro Regions: Identifies Triangle, Triad, Charlotte, All Other Metros, & Non-MetropolitanUrban/Rural defined by:NC Rural Center (Urban, Regional/Suburban, Rural) - 2020 Census designations2010 Census (Urban = Counties with 50% or more population living in urban areas in 2010)2010 Census Urbanized (Urban = Counties with 50% or more of the population living in urbanized areas in 2010 (50,000+ sized urban area))Municipal Population - State Demographer (Urban = counties with 50% or more of the population living in a municipality as of July 1, 2019)Isserman Urban-Rural Density Typology

This map is for use in the Intermountain Region Website.

Regional geophysical maps of the Great Basin, USA were generated from new and existing sources to support ongoing efforts to characterize geothermal resource potential in the western US. These include: (1) a provisional regional gravity grid that was produced from data compiled from multiple sources: data collected by the USGS and Utah Geological Survey under various projects, industry sources, and regional compilations derived from two sources: a Nevada state-wide database (Ponce, 1997), and a public domain dataset (Hildenbrand et al., 2002), (2) a regional magnetic grid derived from the North American magnetic compilation map of Bankey et al. (2002) and, (3) a regional depth-to-basement grid derived from Shaw and Boyd (2018). References: Bankey, V., Cuevas, A., Daniels, D., Finn, C.A., Hernandez, I., Hill, P., Kucks, R., Miles, W., Pilkington, M., Roberts, C., Roest, W., Rystrom, V., Shearer, S., Snyder, S., Sweeney, R.E., Velez, J., Phillips, J.D., and Ravat, D.K.A., 2002, Digital data grids for the magnetic anomaly map of North America, U.S. Geological Survey, Open-File Report 2002-414, https://doi.org/10.3133/ofr02414. Hildenbrand, T.G., Briesacher, A., Flanagan, G., Hinze, W.J., Hittelman, A.M., Keller, G.R., Kucks, R.P., Plouff, D., Roest, W., Seeley, J., Smith, D.A., and Webring, M., 2002, Rationale and operational plan to upgrade the U.S. Gravity Database: U.S. Geological Survey Open-File Report 02-463, 12p. [https://pubs.er.usgs.gov/publication/ofr0246; data downloaded from the Pan-American Center for Earth and Environmental Studies (PACES) gravity database in October 2007 from URL http://paces.geo.utep.edu/research/gravmag/gravmag.shtml]. Ponce, D.A., 1997, Gravity data of Nevada, U.S. Geological Survey Digital Data Series DDS-42. https://pubs.usgs.gov/dds/dds-42/. Shah, A.K, and Boyd, O.S., 2018, Depth to basement and thickness of unconsolidated sediments for the western United States—Initial estimates for layers of the U.S. Geological Survey National Crustal Model: U.S. Geological Survey Open-File Report 2018–1115, 13 p., https://doi.org/10.3133/ofr20181115.

The 2022 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Divisions are groupings of states within a census geographic region, established by the Census Bureau for the presentation of census data. The current nine divisions (East North Central, East South Central, Middle Atlantic, Mountain, New England, Pacific, South Atlantic, West North Central, and West South Central) are intended to represent relatively homogeneous areas that are subdivisions of the four census geographic regions.

Connecticut Planning Region Index is a general purpose index map of Connecticut Planning Regions based on mapped information compiled at 1:125,000 scale (1 inch equals approximately 2 miles) and a list of towns in each region available from the State of Connecticut, Office of Policy and Management. The layer is designed to be used to depict Connecticut Planning Regions at small scales or on small maps printed on regular size (8.5 x 11 inch) paper, for example. This Planning Region Index layer does not accurately represent planning region boundaries because it was digitized at 1:125,000 scale. Do not display, map or analyze this index layer with information collected at larger scales. To depict more accurate 1:24,000-scale Connecticut state, county, town, and planning region boundaries on a map, use the layer named Town, which is also published by the State of Connecticut Department of Energy & Environmental Protection. The 2012 Edition reflects consolidation of two organizations into the Lower Connecticut River Council of Governments.

Census Current (2022) Legal and Statistical Entities Web Map Service; January 1, 2022 vintage.

Census Regions are groupings of states and the District of Columbia that subdivide the United States for the presentation of census data. There are four census regions-Northeast, Midwest, South, and West. Each of the four census regions is divided into two or more census divisions. Puerto Rico and the Island Areas are not part of any census region or census division.

A complete list of live websites using the Interactive Map Of The Us Regions technology, compiled through global website indexing conducted by WebTechSurvey.

This data set delineates the boundaries of the U.S. Fish and Wildlife Service geographic Regions. The dataset was created as a geographic representation of the Regional administrative boundaries of the US Fish and Wildlife Service at a very coarse scale. The boundaries were created using the ArcGIS shoreline dataset from approximately 1995. This dataset should not be used for legal purposes or at small scales and does not accurately denote the shorelines of the united states. The Regional Boundaries data set is managed by the FWS Headquarters Information Resources and Technology Management, Branch of Geospatial Data Management. The complete data and metadata can be accessed here: https://catalog.data.gov/dataset/us-fish-and-wildlife-service-regional-boundaries. This data set is a graphical representation and has limitations of accuracy as determined by, among others, the source, scale and resolution of the data. DOI Interior Regions / Regional Boundaries (https://fws.maps.arcgis.com/home/item.html?id=309aa728d6c041ceaefc1526a409b5d1).

ccchhhoi/map dataset hosted on Hugging Face and contributed by the HF Datasets community

This feature class contains 377,322 point features representing the centroid of Tax Map Keys (TMKs) for the state of Hawaii. These features are incorporated in the U.S. EPA Region 9 Hawaii Wastewater Mapping application, a user interface mapping tool to help manage the Large Capacity Cesspool Program compliance and outreach efforts and assist with inspection targeting in Hawaii. The application can be found on the EPA GeoPlatform at: "https://epa.maps.arcgis.com/apps/webappviewer/index.html?id=afd05fc3ab2347b2bcc63c5c20f59926" https://epa.maps.arcgis.com/apps/webappviewer/index.html?id=afd05fc3ab2347b2bcc63c5c20f59926

This map service contains data related to Tern Island, French Frigate Shoals. The service displays data derived from CAD data originally published in URS Greiner Woodward Clyde, 1999, Environmental Investigation: Former U.S. Coast Guard LORAN Station, Tern Island, French Frigate Shoals, Hawaii. URS Greiner Woodward Clyde (URSGWC) was retained by the United States Coast Guard (USCG) Civil Engineering Unit (CEU) to conduct an environmental investigation at the former USCG long range navigation (LORAN) station on Tern Island. The investigation concentrated on the northwestern corner of Tern Island where the greatest environmental impact from the US military's past occupation of the island appears to have occurred. In addition, the map service displays FFS boundaries and points of interest, locations of marine debris removal by NOAA, mean biomass data, and locations of Tern Island buildings.

This layer is sourced from maritimeboundaries.noaa.gov.

The ENC_General map service displays ENC data within the scale range of 1:600,001 and 1:1,500,000. The ENC data will be updated weekly. This map service is not intended for navigation purpose.

os-map/OS-Map dataset hosted on Hugging Face and contributed by the HF Datasets community

A map service depicting Forest Service existing vegetation polygons for Region 5.This Existing Vegetation (EVeg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000. The geographic extent entails the northeastern portion of CALVEG Zone 6, Central Coast. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).Metadata and Downloads

A depiction of the U.S. Forest Service (USFS) Region 6 (Pacific Northwest Region of the National Forest System) Light Detection and Ranging (LiDAR) holdings colored by the year the data was acquired. LiDAR is an active remote sensing system that can be used to measure vegetation height across wide areas. This is not an exhaustive depiction of all LiDAR in Oregon and Washington, but instead includes only those acquisitions that fall partially or entirely within national forest boundaries. The LiDAR data coverage depicted in this map is updated regularly by USFS Region 6 staff.

JAWCF/maps dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset is intended to provide seamless, integrated bedrock geologic mapping of the U.S. Intermountain West region and is funded by the National Cooperative Geologic Mapping Program of the U.S. Geological Survey. Bedrock geology are included in this data release as an independent dataset at a variable resolution from 1:50,000 to 1:100,000 scale. No original interpretations are presented in this data set; rather, all interpretive data are assimilated from referenceable publications. Initial contributions to this data release are along an east-west transect that parallels 37-degrees north latitude extending from the Rio Grande Rift and Great Plains in the east to the Basin and Range and Sierra Nevada to the west. Other areas of the Intermountain West region will be incorporated over time. Data are presented as downloadable file geodatabase (*.gdb) and as features services that can be directly ingested into GIS software for analysis. This dataset is intended to be versioned regularly as new geologic map data is integrated. The data structure follows the Seamless Integrated Geologic Mapping extension (SIGMa) (Turner and others, 2022) to the Geologic Map Schema (GeMS) (USGS, 2020). U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema)—A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org/10.3133/tm11B10. Turner, K.J., Workman, J.B., Colgan, J.P., Gilmer, A.K., Berry, M.E., Johnstone, S.A., Warrell, K.F., Dechesne, M., VanSistine, D.P., Thompson, R.A., Hudson, A.M., Zellman, K.L., Sweetkind, D., and Ruleman, C.A., 2022, The Seamless Integrated Geologic Mapping (SIGMa) extension to the Geologic Map Schema (GeMS): U.S. Geological Survey Scientific Investigations Report 2022–5115, 33 p., https://doi.org/10.3133/ sir20225115.

maringetxway/interactive-map dataset hosted on Hugging Face and contributed by the HF Datasets community

description: This map was created as part of a worldwide series of geologic maps for the U.S. Geological Survey's World Energy Project. These products are available on CD-ROM and through the Internet. The goal of the project is to assess the undiscovered, technically recoverable oil and gas resources of the world. Most of the source data for this map compilation were digitized from the Geologic-Tectonic Map of the Caribbean Region by J.E. Case and T.L. Holcombe, at a scale of 1:2,500,000. For data management purposes, the world was divided into eight energy regions based on political boundaries and corresponding approximately to the economic regions of the world as defined by the U.S. Department of State. Region Six encompasses the Caribbean area, Central America, and South America. Other products are also available related to Region Six, including the Geologic Map of South America (USGS Open File Report 97-470-D). Countries listed below are shown whole or in part within the map extent of the Caribbean region: Anguilla Antigua and Barbuda Aruba Bahamas Barbados Belize British Virgin Islands Cayman Islands Colombia Costa Rica Cuba Dominica Dominican Republic El Salvador Grenada Guadeloupe Guatemala Guyana Haiti Honduras Jamaica Martinique Mexico Montserrat Netherlands Antilles Nicaragua Panama Puerto Rico St. Kitts and Nevis St. Lucia St. Vincent and the Grenadines Trinidad and Tobago Turks and Caicos Islands United States Venezuela Virgin Islands The world was previously divided into geologic provinces for the World Energy Project, of which a subset is shown on the map. Each province has a set of geologic characteristics that distinguish it from surrounding provinces. These characteristics may include dominant lithologies, the age of the strata, and/or structural type. Each province is assigned a unique number and may fall within two or more countries or assessment regions. The World Geographic Coordinate System of 1984 was used for data storage and map display. Other details about the map compilation and data sources are provided in several metadata formats in the data section on this CD-ROM. Various software packages were used to create this map including: Environmental Systems Research Institute, Inc. (ESRI) ArcGIS 8.3, ArcInfo software, Adobe Photoshop CS, Illustrator CS, and Acrobat 6.0.; abstract: This map was created as part of a worldwide series of geologic maps for the U.S. Geological Survey's World Energy Project. These products are available on CD-ROM and through the Internet. The goal of the project is to assess the undiscovered, technically recoverable oil and gas resources of the world. Most of the source data for this map compilation were digitized from the Geologic-Tectonic Map of the Caribbean Region by J.E. Case and T.L. Holcombe, at a scale of 1:2,500,000. For data management purposes, the world was divided into eight energy regions based on political boundaries and corresponding approximately to the economic regions of the world as defined by the U.S. Department of State. Region Six encompasses the Caribbean area, Central America, and South America. Other products are also available related to Region Six, including the Geologic Map of South America (USGS Open File Report 97-470-D). Countries listed below are shown whole or in part within the map extent of the Caribbean region: Anguilla Antigua and Barbuda Aruba Bahamas Barbados Belize British Virgin Islands Cayman Islands Colombia Costa Rica Cuba Dominica Dominican Republic El Salvador Grenada Guadeloupe Guatemala Guyana Haiti Honduras Jamaica Martinique Mexico Montserrat Netherlands Antilles Nicaragua Panama Puerto Rico St. Kitts and Nevis St. Lucia St. Vincent and the Grenadines Trinidad and Tobago Turks and Caicos Islands United States Venezuela Virgin Islands The world was previously divided into geologic provinces for the World Energy Project, of which a subset is shown on the map. Each province has a set of geologic characteristics that distinguish it from surrounding provinces. These characteristics may include dominant lithologies, the age of the strata, and/or structural type. Each province is assigned a unique number and may fall within two or more countries or assessment regions. The World Geographic Coordinate System of 1984 was used for data storage and map display. Other details about the map compilation and data sources are provided in several metadata formats in the data section on this CD-ROM. Various software packages were used to create this map including: Environmental Systems Research Institute, Inc. (ESRI) ArcGIS 8.3, ArcInfo software, Adobe Photoshop CS, Illustrator CS, and Acrobat 6.0.

These maps were developed to support an effort to understand the spatial characteristics of piping plover (Charadrius melodus) nesting habitats. The maps show the expected nesting habitat distributions and piping plover intensity between 2000 and 2021 in the U.S. Prairie Pothole Region.