U.S. Geological Survey, National Geospatial Technical Operations Center 20170315 vector digital data Reston, VA U.S. Geological Survey ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/TopoMapVector/MI/GDB/VECTOR_Harbor_Beach_OE_E_MI_7_5_Min_GDB.zip Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features. This dataset depicts geographic features on the surface of the earth. It is a general purpose dataset for users who are not GIS experts. The geospatial data in this dataset are from selected National Map data holdings and other government sources. 20110627 20170315 publication date Complete Irregular -82.625 -82.5 43.875 43.75 None contours transportation structures geographic names hydrography boundary Public Land Survey System woodland Geographic Names Information System US United States MI Michigan Huron County None None. However, users should be aware that temporal changes may have occurred since this data set was collected and that some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. Acknowledgment of the U.S. Geological Survey would be appreciated for products derived from these data. ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/TopoMapVector/MI/GDB/VECTOR_Harbor_Beach_OE_E_MI_7_5_Min_GDB.jpg Thumbnail JPG image JPEG Content is derived from USGS national geospatial databases. The data is owned and hosted by the USGS, but does not preclude using data sources owned and hosted by other organizations, provided that these sources have been approved by the USGS data program. This product is a layered set of data. This design is based on use of specific commercial software systems therefore any changes to the software specifications and dependencies will be followed by the USGS and codified in the product standard. Each layer is extracted from the USGS national geospatial databases. There is a diversity of national data sources in this product. Although the data accuracy varies, the data generally have high enough horizontal accuracy to support NMAS and mapping at 1:24,000 scale. NMAS horizontal accuracy requires that at least 90 percent of well-defined points tested are within 0.02 inch of the true position. Contours are generated from the National Elevation Dataset (NED). The most recently published figure of overall absolute vertical accuracy of the NED within the conterminous US, expressed as the root mean square error (RMSE) of 25,310 reference points is 1.55 meters. However, the vertical accuracy actually varies significantly across the US because of differences in source quality, terrain relief, land cover, and other factors. Details of this analysis are published in "Accuracy Assessment of the U.S. Geological Survey National Elevation Dataset, and Comparison with Other Large-Area Elevation Datasets-SRTM and ASTER: U.S. Geological Survey Open-File Report 2014-1008," http://pubs.usgs.gov/2014.1008/ . U.S. Geological Survey, National Geospatial Technical Operations Center - National Elevation Dataset is a component of a comprehensive base geospatial data model. 20170315 Vector digital data This contour feature class was generated from the 1/3 arc-second version of the 3D Elevation Program. The intended viewing scale for these features is 1:24,000. The contours are derived from a filtered elevation raster to achieve smoother arcs. In some areas, the 3DEP data may be modified by the National Hydrography Dataset (NHD) flow lines and water bodies to facilitate improved integration between the hypsography and hydrography on USGS map products. These contours were generated primarily for use as a layer in GeoPDFs created in the digital mapping program. The raster data source of contours is the 3D Elevation Program 1/3 arc-second layer. Secondary datasets include the high resolution flow lines, water bodies, and areas from the National Hydrography Dataset (NHD). The NHD layers are used in hydro-enforcement of the DEM prior to contour generation. The goals of the hydro-enforcement are to prevent contour lines from extending over the surface of water bodies and to align the contour reentrants with the NHD single- line streams. The 3DEP raster cells are converted to points. Those points, along with the NHD flow lines are input into an interpolation tool to create a new surface. The NHD water bodies and areas are preprocessed to attach the minimum and maximum elevation to each polygon. From these precalculated values, an appropriate value is calculated by which to raise the elevation cells under the NHD polygons. The NHD polygons are then converted into rasters, which in turn will be used to generate a mosaic that includes the new raster surface. The mosaic is filtered to provide smoother contour lines. Contours are generated and depression and index contours are identified. There is no guarantee or warranty concerning the accuracy of the data. Users should be aware that temporal changes may have occurred since these data were collected and generated and that some parts of these data may no longer represent actual surface conditions. Hydro-enforcement and generalization can also significantly alter the spatial characteristics of the contours. Users should not use these data for critical applications without a full awareness of its limitations. http://ned.usgs.gov/ 24000 digital data publication date Hypsography Contours International Boundary Commission 20170315 vector digital data The boundary is a digital representation of the International boundary between the United States and Canada as per the Treaty of 1908. It has been generated from a combination of recent surveys and datum conversions. It is intended for general mapping purposes only. The boundary dataset is composed of 29 segments that correspond to the original 256 boundary maps. Attributes of each segment define the scale in which the line in that area may be accurately depicted. It is produced for mapping purposes only and not intended to illustrate the boundary beyond the limits of the scale for any given segment http://www.internationalboundarycommission.org/ http://www.internationalboundarycommission.org/index-eng.html digital data 2006 2006 publication date U.S. / Canada International Boundary International Boundary between Canada and the United States U.S. Geological Survey, U.S. Department of Agriculture, and the Instituto Nacional de Estadistica y Geografia of Mexico. 20170315 vector digital data The international boundary between Mexico and the United States, defined as a joint venture between the U.S. Department of Agriculture (USDA) and the Instituto Nacional de Estadistica y Geografia of Mexico (INEGI), resulted in an unofficial United States-Mexico boundary dataset that was further enhanced by the U.S. Geological Survey's Border Environmental Health Initiative (BEHI). With the data frame scale set to 1:5,000 in ArcMap, the center of the Rio Grande/Rio Bravo was digitized using the NAIP 2004 Imagery. In areas with dense stands of salt cedar (bounding box = UL -104.714 30.038, UR -104.664 30.037, LR -104.666 29.933, LL -104.717 29.934; NAD83), the center of the channel was difficult, and sometimes impossible, to easily determine. To determine the location of the boundary, the GIS analyst compared the location of the line in the INEGI 1:250K Limite feature class with the NAIP 2004 Imagery and adjusted the boundary to the image, thus, the delineation of the international boundary is less certain in these areas. The remaining part of the border was extracted from the INEGI 1:250K Limite feature class and appended to the line feature class created along the Rio Grande/Rio Bravo. The U.S. Geological Survey reviewed the original USDA data against 2007 NAIP imagery and further edited 9 line segments in the Rio Grande areas to conform to National Map Accuracy Standards. http://borderhealth.cr.usgs.gov/projectindex.html http://extract.cr.usgs.gov/BorderHealth/Boundaries/Int_Boundary/International_Boundary_Shapefile.zip digital data 1972 2006 publication date U.S. / Mexico International Boundary International Boundary between Mexico and the United States U.S. Department of Agriculture (USDA) Forest Service - Washington Office Automated Lands Program (ALP). 20170315 vector digital data The forest service boundaries defined by the USDA Forest Service encompassing the National Forest System (NFS) lands within the original proclaimed National Forests, along with lands added to the NFS which have taken on the status of 'reserved from the public domain' under the General Exchange Act. The following area types are included: National Forest, Experimental Area, Experimental Forest, Experimental Range, Land Utilization Project, National Grassland, Purchase Unit, and Special Management Area. The nationwide Proclaimed Forest dataset was created by the USDA Forest Service, Washington Office Automated Lands Program (ALP) staff from collected source data created by the Regional Offices. Only maps in USDA Forest Service areas will contain USDA Forest boundaries. 24000 digital data 2009 2009 publication date USDA Forest Service Boundaries National Forest Service Boundaries Office of the Deputy Under Secretary of Defense for Installations and Environment, Business Enterprise Integration Directorate 20170315 vector digital data This dataset depicts the authoritative boundaries of the most commonly known Department of Defense (DoD) sites, installations, ranges, and training areas in the United States and Territories. These sites encompass land which is federally owned or otherwise managed. This dataset was compiled by the Defense Installation Spatial Data Infrastructure (DISDI) Program. This dataset represents the baseline for georeferenced boundaries of sites selected from the 2010 Base Structure Report. The boundary locations are intended for planning purposes only and do not represent the legal or surveyed land parcel boundaries. This list does not necessarily represent a comprehensive collection of all DoD facilities, and only those in the fifty United States and US Territories were considered for inclusion. Maps produced at a scale of 1:50,000 or larger which otherwise comply with National Map Accuracy Standards will remain compliant if this data is incorporated. Although these data have been provided by the DoD components, no warranty expressed or implied is made regarding the utility of the data on any other system, in derived products or data alterations, nor shall the act of distribution constitute such warranty. http://www.acq.osd.mil/ie/index.shtml 50000 digital data 2011 2011 publication date U.S. Department of Defense Military Installations Boundary lines, installation names U.S. Census Bureau 20170315 vector digital data The Census Bureau collects boundaries from state and county governments through the Boundary and Annexation Survey, and publishes the results as TIGER files. The USGS uses the TIGER data without editing or alteration. http://www.census.gov/geo/maps-data/data/tiger.html digital data 2013 2014 publication date State Boundaries State and Equivalent Boundary U.S. Census Bureau 20170315 vector digital data The Census Bureau collects boundaries from state and county governments through the Boundary and Annexation Survey (BAS), and publishes the results as TIGER files. The USGS uses the TIGER data without editing or alteration for US Topo. http://www.census.gov/geo/www/tiger/index.html digital data 2013 2014 publication date County Boundaries County and Equivalent Boundary U.S. Census Bureau 20170315 vector digital data The boundaries of most incorporated places are as of January 1, 2013, as reported through the Census Bureau's Boundary and Annexation Survey. Limited updates that occurred after January 1, 2013, such as newly incorporated places, are also included. The boundaries of all Census Designated Places (CDP) were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census. The USGS uses the TIGER data without editing or alteration. http://www.census.gov/geo/www/tiger/index.html digital data 2013 2014 publication date Incorporated Places Boundaries Incorporated Places Boundaries U.S. Census Bureau 20170315 vector digital data The 114th Congress is seated from January 2015 to 2017. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts are provided to the Census Bureau through the Redistricting Data Program (RDP). The USGS uses the TIGER data without editing or alteration. http://www.census.gov/geo/www/tiger/index.html digital data 2013 2014 publication date Jurisdictional Boundaries 114th Congressional Districts Boundaries U.S. Census Bureau 20170315 vector digital data The boundaries of most legal Minor Civil Divisions (MCD) are as of January 1, 2013, as reported through the Census Bureau's Boundary and Annexation Survey. The boundaries of all Census Designated Places (CDP)are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census. The USGS uses the TIGER data without editing or alteration. http://www.census.gov/geo/www/tiger/index.html digital data 2013 2014 publication date Minor Civil Divisions Boundaries Minor Civil Divisions Boundaries U.S. Census Bureau 20170315 vector digital data The Native American Area boundaries are as of January 1, 2013 as reported through Census Bureau's Boundary and Annexation Survey. The USGS dataset is a combination of two Census Bureau files. It includes the American Indian/Alaska Native/Native Hawaiian Areas National (AIANNH) National TIGER/Line shapefile, including the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands. Also included is the Alaska Native Regional Corporation (ANRC) State-based TIGER/Line shapefile containing a record of the 12 Alaska Native Regional Corporations used to conduct both the for-profit and non-profit affairs of Alaska Natives within a defined region of Alaska. The USGS uses the TIGER data without editing or alteration. http://www.census.gov/geo/www/tiger/index.html digital data 2013 2014 publication date Native American Area Boundaries Native American Area Boundaries National Park Service - Land Resources Division 20170315 vector digital data This dataset depicts National Park Service unit boundaries for display and general analysis purposes. The USGS converted areas of generally 3 acres or less to point features to facilitate cartographic display on the US Topo digital map product. See Source URL for link to complete dataset. This data set is complete but subject to continual updates to reflect boundary amendments, legislation, and acquisitions, and improved processing techniques. The data is being regularly updated with verified boundaries from NPS Land Resources Division. The data is intended for use as a tool for display and general GIS analysis purposes only. It is in no way intended for engineering or legal purposes. The data accuracy is checked against best available sources which may be dated. NPS assumes no liability for use of this data. Boundaries from the Land Resources Division have separate polygons for each type of unit. For example Denali National Park and Denali National Preserve are separate individual polygons. https://irma.nps.gov/App/Portal digital data 2002 2014 publication date National Park Service Boundary Current Administrative Boundaries of the National Park System Units U.S. Census Bureau 20170315 vector digital data The boundaries of most unincorporated places in this shapefile are as of January 1, 2013, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). Limited updates that occurred after January 1, 2013, such as newly unincorporated places, are also included. The boundaries of all Census Designated Places (CDPs) were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census. The USGS uses the TIGER data without editing or alteration. http://www.census.gov/geo/www/tiger/index.html digital data 2013 2014 publication date Unincorporated Places Boundaries Unincorporated Places Boundaries U.S. Department of Interior, U.S. Fish and Wildlife Service 20170315 vector digital data This data set depicts simplified boundaries of lands administered by the U.S. Fish and Wildlife Service including National Wildlife Refuges, National Fish Hatcheries, FWS administrative sites, and other conservation areas. The Alaska National Wildlife Refuge Boundaries data set depicts the legislative boundary of the 16 National Wildlife Refuges in Alaska at a source scale of 1:63,360. The dataset was created by the U.S. Fish and Wildlife Service, Region 7, Division of Realty and Natural Resources. The USGS substituted the Alaska National Wildlife Refuge boundaries for the USFWS Simplified Wildlife Refuge Boundaries in Alaska for cartographic purposes. The USFWS Simplified Wildlife Refuge Boundaries are simplified from the U.S. Fish and Wildlife Service Real Estate Interest data layer containing polygons representing tracts of land (parcels) in which the Service has a property or management interest. These interests include full land ownership, secondary interests in property primarily managed and reported by other federal agencies, leased property, property managed by agreement with other parties, and, within National Wildlife Refuges, property governed by conservation easements. A conservation easement is a permanent, legally enforceable land preservation agreement between a landowner and a government agency that restricts real estate, commercial and industrial development of the land, which remains private property. Inholdings of private property within Refuge areas not covered by conservation easements are excluded from these boundaries. The Hawaiian Islands National Wildlife Refuge and Waterfowl production area easements acquired through the small wetlands program have been omitted. Interior boundaries between parcels were dissolved to produce a single set of simplified external boundaries for each feature. These are resource grade mapping representations of the U.S. Fish and Wildlife Service boundaries. For legal descriptions of the land represented here contact the USFWS Realty Office. This map layer was compiled by the U.S. Fish and Wildlife Service. The Alaska National Wildlife Refuges dataset was derived from the following digital sources and legal documents: 1) Federal Register, Vol. 48, No. 38 Thursday, February 24, 1983 Notices Pages 7890-8029. 2) USGS 1:250,000 scale Alaska Boundary Series maps entitled: Alaska National Interest Lands Conservation Act December 2, 1980 P.L. 96-487 3) Various legal documents such as survey plats, legal metes and bounds descriptions, Deeds, and Titles. 4) USGS 1:63,360 scale revised hydrography Digital Line Graphs depicting ground conditions from 1955 to 1986. Although these Fish and Wildlife boundaries represent lands administered by the U.S. Fish and Wildlife Service, not all areas are open to the public. Some fragile habitats need to be protected from human traffic, some management areas are closed, and the terms of some conservation easements preclude public access. The public is urged to contact specific Refuges or other conservation areas before visiting. http://www.fws.gov/GIS/data/CadastralDB/FWS_Simplified_Boundaries.zip digital data 1950 2014 publication date U. S. Fish and Wildlife Service Boundary Boundary polygons and names U.S. Dept. of Interior, Bureau of Land Management, Division of Support Services, Branch of Information Resource Management 20170315 vector digital data The PLSS information is for general reference purposes only, and should not be used to determine legal boundaries or land ownership. The Bureau of Land Management (BLM) is the authoritative source for PLSS information at the federal level, and the US Topo representation is derived from BLM GIS data files called Cadastral National Spatial Data Infrastructure or CadNSDI. The management of these data is not completely uniform throughout the country. Although this metadata record is included with all maps, PLSS is currently shown on US Topo Maps for only a few states. PLSS will be added to US Topo maps in more states in coming years as BLM authorized CadNSDI format is made available. The three layers USGS stores from PLSS are the Township, First Division and Special Surveys. Metadata for BLM PLSS data is at http://www.geocommunicator.gov/GeoComm/metadata/index.htm#PLSS, though this URL may change in the near future. Alternate sources of PLSS data will continued to be served mainly in western states where BLM is the data steward or the data is from a trusted source. Notes on individual states follow,----Alaska PLSS consists of protracted (computed, not surveyed) data only. For more information see http://sdms.ak.blm.gov/sdms/data_protracted_grid_gis.html----Ohio was the original PLSS state in the early 1800s, and the land network there is unusually complex. The source data include four first-division parcel types. These are all shown on US Topo maps, and are labeled according to BLM's attribution, with a leading letter followed by either a number or more letters. The meanings of the leading letters are S=Section, F=Fractional Section, L=Lot, Q=Quarter Township. http://sdms.ak.blm.gov/sdms/data_protracted_grid_gis.html http://www.geocommunicator.gov/GeoComm/lsis_home/home/index.htm 24000 digital data 2008 2015 publication date Public Land Survey System - BLM Townships and ranges, sections Department of Veterans Affairs, National Cemetery Administration and U.S. Geological Survey 20170315 vector digital data This dataset represents boundaries of National cemeteries administered by the U.S. Department of Veterans Affairs, National Cemetery Administration. This layer may also contain a small number of boundaries for those managed by the Department of the Army. This data is subject to change as other national cemetery areas are authorized. This dataset is intended for general mapping and reference purposes only. http://nationalmap.gov/boundaries.html/ digital data 2013 2014 publication date National Cemetery Boundary Name, general location information from NCA, Boundaries from parcel and other mapping datasets. U.S. Geological Survey, National Geospatial Technical Operations Center 20170315 Vector digital data The Geographic Names Information System (GNIS) is the Federal and national standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS in support of the U.S. Board on Geographic Names as the official repository of domestic geographic names data, the official vehicle for geographic names use by all departments of the Federal Government, and the source for applying geographic names to Federal electronic and printed products. http://geonames.usgs.gov/ 24000 digital data 2012 2012 publication date Geographic Names Geographic feature names U.S. Geological Survey, National Geospatial Technical Operations Center 20170315 Vector digital data The Woodland Tint is a derivative land cover product created using several national map layers: three National Land Cover Database (NLCD) 2001 raster layers (Tree Canopy, Imperviousness, and Land Cover); and two vector layers (National Hydrography Dataset and Transportation). The process begins with masking the NLCD 2001 Canopy Data with NLCD 2001 Imperviousness V1 (values from 1-100), and Land Cover V1 (value 11 = Open Water). The resulting raster data with canopy values of 20 and greater are converted to woodland vector polygons and smoothed via the Paek Algorithm. The woodland polygons are masked with buffered Transportation (Roads, Airport Runways, and Railroads) and Hydrography (NHD Areas excluding Inundation Area and NHD Waterbodies excluding Swamp/Marsh). The resulting polygons are checked for scale appropriate size (minimum size of one acre), and the small woodland polygons as well as small clearings within the woodland polygons are deleted. http://nationalmap.usgs.gov 24000 digital data 2001 2012 publication date Land Cover - Woodland National Landcover Dataset; National Hydrography Dataset; National Transportation Dataset U.S. Geological Survey in cooperation with U.S. Environmental Protection Agency, USDA Forest Service, and other Federal, State and local partners. National Hydrography Dataset is a component of a comprehensive base geospatial data model. 20170315 vector digital data The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. The high-resolution NHD was originally created using 1:24,000-scale data. State and Local Stewards are improving the data by incorporating local updates based on more current and more accurate source data. Water features in the real world are relatively dynamic and the differences at the time of data collection mean that water features may not register exactly to other layers. The hydrographic feature names contained in and displayed by the NHD are extracted and validated from the Geographic Names Information System (GNIS). Spatial objects may be filtered or generalized to achieve a 1:24,000-scale representation. http://nhd.usgs.gov/ http://nhd.usgs.gov/gnis.html http://nhdgeo.usgs.gov/metadata/nhd_high.htm 24000 digital data 20100820 20100820 publication date Hydrography Hydrography features and feature names Global Land Ice Measurements from Space initiative (GLIMS) 20170315 vector digital data This dataset, termed "GAGES II", an acronym for Geospatial Attributes of Gages for Evaluating Streamflow, version II, provides geospatial data and classifications for 9,322 stream gages maintained by the U.S. Geological Survey (USGS). It is an update to the original GAGES in 2010. The GAGES II dataset consists of gages which have had either 20+ complete years (not necessarily continuous) of discharge record since 1950, or are currently active, as of water year 2009, and whose watersheds lie within the United States, including Alaska, Hawaii, and Puerto Rico. Only active stations, as identified by the GAGES II dataset, are symbolized. http://water.usgs.gov/lookup/getspatial?gagesII_Sept2011 http://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml 24000 digital data publication date Hydrography - Gaging Stations Hydrography features and gaging stations State and Federal Partners, updates from USGS' The National Map Corps volunteers 20170315 Vector digital data Any location where fire fighters are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Fire Departments which are Mobile Units and not having a permanent location, are included, in which case their location has been depicted at the city/town hall or at the center of their service area if a city/town hall does not exist. This dataset includes those locations primarily engaged in forest or grasslands fire fighting, including fire lookout towers if the towers are in current use for fire protection purposes. This dataset includes both private and governmental entities. Locations that serve only administrative function are excluded. Locations serving both administrative and operational functions are included. http://nationalmap.usgs.gov 24000 None 20060101 20120101 ground condition Structures - Fire Stations Geographic features and feature names State and Federal Partners, updates from USGS' The National Map Corps volunteers 20170315 Vector digital data Included are locations where sworn officers of a law enforcement agency are regularly based or stationed. This dataset includes local police, county sheriff's offices, state police or highway patrol locations. Most federal law enforcement agency locations are not included. http://nationalmap.usgs.gov 24000 None 20051019 20150203 ground condition Structures - Law Enforcement Geographic features and feature names State and Federal Partners, updates from USGS' The National Map Corps volunteers 20170315 Vector digital data Includes both private and government medium and high security prisons and correctional institutions. Low and minimum security institutions such as local jails, prison camps, correctional farms or work farms, detention and treatment centers are generally excluded. http://nationalmap.usgs.gov 24000 None 20070803 20150203 ground condition Structures - Prisons/Correctional Facility Geographic features and feature names State and Federal Partners, updates from USGS' The National Map Corps volunteers 20170315 Vector digital data The schools within this dataset are composed of Public elementary and secondary education in the US as defined and tracked by the National Center for Education Statistics (NCES), Common Core Dataset (CCD). Private schools in this dataset are composed of Private elementary and secondary education in the US as defined by the Private School Survey, NCES. The colleges and Universities are composed of postsecondary education facilities as defined by the Integrated Post Secondary Education System (IPEDS), NCES. Included are Doctoral and Research Universities, Masters Colleges and Universities, Baccalaureate Colleges, Associates Colleges, Theological seminaries, Medical schools and other health care professions, schools of engineering and technology, business and management, art, music, design, Law schools, Teachers colleges, Tribal colleges and other specialized institutions. http://nationalmap.usgs.gov 24000 None 20080101 20080101 ground condition Structures - Schools Geographic features and feature names State and Federal Partners, updates from USGS' The National Map Corps volunteers 20170315 Vector digital data Includes general medical and surgical hospitals, psychiatric, substance abuse and specialty hospitals such as Children's hospitals, cancer, maternity and rehabilitation hospitals. Other types of hospitals are included if represented in data sets provided by various partners for this compilation. Hospitals operated by the US Department of Veterans Affairs are included. Nursing homes, long term care facilities and Urgent Care facilities are generally excluded. Locations that are administrative offices only are excluded from the dataset. http://nationalmap.usgs.gov 24000 None 20060101 20110101 ground condition Structures - Hospitals Geographic features and feature names State government websites 20170315 Vector digital data Includes the official State Capitol buildings for the U.S. states and territories http://nationalmap.usgs.gov 24000 None 2014 2014 ground condition Structures - State Capitol building Geographic features and feature names Oak Ridge National Laboratory 20170315 Vector digital data Railroads are derived from an unpublished data set provided to USGS by Oak Ridge National Laboratory (ORNL) Geographic Information Science and Technology Group (GIST). Following is an excerpt from the GIST description of the data set; the original data contain attributes not used by US Topo: The rail lines layer represents the freight lines of the nation's railroad system. The data set covers all 50 states and the District of Columbia, as well as territories and possessions of the United States. No rail lines exist in American Samoa, Guam, Northern Mariana Islands, and the Virgin Islands of the US. Phase 1 of this product is a completed deliverable. This phase involved adding and validating network attribute data including railroad ownership, trackage and haulage rights, operational status, operating subdivisions, signaling systems, track class and traffic density. Phase 2 adjusted the topological alignment of the track using the best available remote sensing imagery. Information originally based on the Department of Transportation (DOT) Federal Railroad Administration (FRA) 1:100K rail network. The data have been updated by Oak Ridge National Laboratory (ORNL) Geographic Information Science and Technology Group (GIST). 24000 digital data 2014 2014 publication date Railroads - Oak Ridge National Laboratory Main track centerlines Federal Aviation Administration 20170315 Vector digital data Runway outlines are for Federal Aviation Administration (FAA)-recognized public and private airports in the United States. The FAA runway coordinates, FAA_RunwayID, and Airport Location Codes were used by the USGS to digitize runway outlines on recent NAIP orthoimagery. The digitized data were inspected for accuracy and completeness then loaded into the USGS national transportation database. http://www.faa.gov 24000 digital data 2011 2012 publication date Transportation - Airports runways Various government agencies and volunteer organizations 20170315 Vector digital data The first recreational trails were added to US Topo maps in 2013. The data for trails come from a variety of sources. Accuracy and currency is the responsibility of the data owner; USGS evaluates the authoritativeness of the source but does not independently verify data accuracy. Trails are not complete, and will not be complete for the foreseeable future. Trails will be added as data become available from land management agencies and other authoritative sources. All recreational trails information presented on US Topo maps is public domain, though the original source data is not necessarily public domain. This metadata section documents all data sources for all maps, not this specific map. Trails listed here are not guaranteed to be present on all relevant maps, due to schedule differences between data delivery and US Topo production schedules. Feature-level metadata is not provided in the US Topo product; there is no link between a line on the map and the source of that specific trail. Notes on data sources follow --------- For the 11 National Scenic Trails (NST): Ice Age National Scenic Trail: data provided by the volunteer organization Ice Age Trail Alliance, http://www.iceagetrail.org, in cooperation with National Park Service and Wisconsin Department of Natural Resources. - Pacific Crest National Scenic Trail: unpublished data provided by US Forest Service - Appalachian National Scenic Trail: data published by the Appalachian Trial Conservancy, http://appalachiantrail.org/about-the-trail/mapping-gis-data, in cooperation with National Park Service - North Country National Scenic Trail: unpublished dataset provided by National Park Service - Arizona National Scenic Trail: data from AZGEO Clearinghouse, https://azgeo.az.gov/azgeo/, in cooperation with U.S. Forest Service - Pacific Northwest National Scenic Trail: unpublished data provided by US Forest Service - Natchez Trace National Scenic Trail: unpublished dataset provided by National Park Service --------- For other trail types and sources: US Fish and Wildlife Service lands: the USFWS Hiking Trails Inventory is administered by the US Department of Transportation Federal Highway Administration, and Pacific Western Technologies, LTD. The purpose of the dataset is to create a baseline inventory of all non-motorized trails on US Fish and Wildlife Service Stations. - US Forest Service lands: trails within National Forests are from unpublished data provided by USFS. These data are developed from sources of differing accuracy. US Topo does not portray access and travel management information indicating which trails are managed for or open to specific modes of travel (motorized/non-motorized) or associated seasons of use. USFS trails (other than selected NSTs described above) are currently shown on US Topo only in Colorado. - The International Mountain Bicycling Association, IMBA, shares their bicycle trails data with USGS as part of an ongoing partnership. IMBA-collected trails are generally not shown inside delineated Federal lands (e.g., National Forests) on US Topo maps. http://www.nps.gov/ncrc/programs/nts/nts_trails.html http://www.pnts.org http://www.fws.gov/gis/data/national/ https://www.imba.com/ 24000 digital data 2006 2014 publication date Recreational Trails Trail centerline U.S. Census Bureau, Geography Division 20170315 vector digital data Dataset source is Census Bureau MAF/TIGER database extracts in the form of TIGER/Line Shapefiles. The TIGER/Line shapefiles and related database files are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent dataset, or they can be combined to cover the entire nation. The U.S. Geological Survey filters Census roads to remove short road segments which are less than 500 feet in length, are not named and are classified as local roads. The USGS National Transportation Dataset functional road classification system is applied to the Census datasets. The original TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. The horizontal spatial accuracy information present in the TIGER/Line shapefiles is provided for the purposes of statistical analysis and census operations only and the data may not be suitable for high-precision measurement applications. Full metadata for TIGER/Line shapefiles is available from U.S. Census Bureau http://www.census.gov/geo/maps-data/data/tiger.html 24000 digital data 2013 2014 publication date Roads - Census Road centerlines, route numbers, road classification, street names Alaska Railroad Corporation 20170315 Vector digital data This record applies to Alaska data only. Railroad data is provided by the Alaska Railroad Corporation, and may not include other owner's rail features. Unpublished data provided directly to USGS. Current as of 2012. For more information, contact Alaska Railroad Corporation, 327 W. Ship Creek Ave., Anchorage, AK. 99501, phone 907-265-3100, or emailgrunwaldm@akrrr.com 25000 digital data 2012 2012 publication date Railroads - Alaska Railroad Corporation Main track centerlines Alaska Department of Transportation 20170315 Vector digital data This record applies to Alaska data only. Roads gathered from various state and local sources, integrated by the Alaska Department of Transportation (ADOT) and provided to USGS for use in USGS map products. This specific road dataset is unpublished, but earlier versions are published on the ADOT web site. http://www.dot.state.ak.us/stwdplng/mapping/ 25000 digital data 2013 2013 publication date Roads - Alaska Department of Transportation Road centerlines, road classification, street names The data for this product are created as follows. All geospatial content is taken from national geospatial databases under the stewardship of USGS data programs. The NAIP imagery is provided by a seamless tile service that delivers image data at the resolution and quality of the source imagery. The raster and vector data, including grids and collar information, are processed using ESRI ArcGIS software and exported. Map formatting is performed using a custom application, which includes post-processing to embed the metadata XML document. 20170315 Public Land Survey System Vector Entity point Void polygon composed of rings Complete chain Complete chain 1012 0.00001 0.00001 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137 298.2572221 U.S. Geological Survey, National Geospatial Technical Operations Center mailing and physical

1400 Independence Road

Rolla MO 65401 mailing and physical

Box 25046 Denver Federal Center

Lakewood CO 80225 1-888-ASK-USGS (1-888-275-8747) http://www.usgs.gov/ask/ Monday through Friday 8:00 AM to 4:00 PM Metadata information can also be obtained through online services using The National Map Viewer, at http://nationalmap.usgs.gov or EarthExplorer, at http://earthexplorer.usgs.gov or Ask USGS at http://www.usgs.gov/ask. Downloadable Data No liability for content or accuracy is presumed by USGS for data. FileGDB 10.1 Spatial objects with unique identifiers and coordinate data. No compression applied 0.681366 ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/TopoMapVector/MI/GDB/VECTOR_Harbor_Beach_OE_E_MI_7_5_Min_GDB.zip None 20170315 20170315 20180315 U.S. Geological Survey, National Geospatial Technical Operations Center mailing and physical

1400 Independence Road

Rolla MO 65401 mailing and physical

Box 25046 Denver Federal Center

Lakewood CO 80225 1-888-ASK-USGS (1-888-275-8747) http://www.usgs.gov/ask/ Monday through Friday 8:00 AM to 4:00 PM Metadata information can also be obtained through online services using The National Map Viewer, at http://nationalmap.usgs.gov or EarthExplorer, at http://earthexplorer.usgs.gov or Ask USGS at http://www.usgs.gov/ask. FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998