4,521 results returned
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Title: United States Transportation Terminals, 2010-2014
- Point data
- 2014
- Not owned by MIT (Owned by Stanford)
Summary: This point shapefile represents locations of transportation terminals in the United States such as public transport stops, railway stations, metro stations, ferry terminals, and other significant transportation nodes. This layer is part of the 2014 ESRI Data and Maps collection for ArcGIS 10.2. U.S. Transportation Terminals provides the locations of transportation terminals. All transportation terminals are named and show the state and county they reside in. TomTom International and ESRI. (2014). United States Transportation Terminals, 2010-2014. ESRI Available at: http://purl.stanford.edu/bt766kr3656
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Title: United States Airports, 1991-2014
- Polygon data
- 2014
- Not owned by MIT (Owned by Stanford)
Summary: Thisw polygon shapefile represents airport grounds and airport runways within the United States. All airports have a boundary, and most have at least one runway. There are many attributes that describe each airport, for example, location ID (airport code), owner, elevation, congestion level, large certified air carrier enplanements, foreign enplanements, hub size, and tower type. This layer is part of the 2014 ESRI Data and Maps collection for ArcGIS 10.2. U.S. Airports provides the boundaries for thousands of airports and runways. TomTom International and ESRI. (2014). United States Airports, 1991-2014. ESRI. Available at: http://purl.stanford.edu/sg863bw4165
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Title: United States Highways, 2000
- Line data
- 2014
- Not owned by MIT (Owned by Stanford)
Summary: This line shapefile represents the major and minor highways of the United States. These include interstates, U.S. highways, state highways, major roads, and minor roads. This dataset is from the Census 2000 TIGER/Line files. It contains all Class 1, 2, and 3 road segments plus any other road segments necessary to provide network connectivity for the Class_Rte field. U.S. Highways provides highways and roads for national, state, and regional display. TomTom International and ESRI. (2014). United States Highways, 2000. ESRI. Available at: http://purl.stanford.edu/th010xy1742
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Title: Uruguay & Montevideo
- Image data
- 2015
- Not owned by MIT (Owned by Princeton)
Summary: Title from panel. Relief on Uruguay map is shown by gradient tints and spot heights. "© ITMB Publishing 2015". Includes indexes, location map, and color illustrations. Incudes ancillary maps on recto: Colonia del Sacramento, city centre inset --Punta del Este, city centre. On verso: Montevideo, regional inset.
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Title: Accra & Ghana south : Cape Coast, Kumasi
- Image data
- 2014
- Not owned by MIT (Owned by Princeton)
Summary: Relief on Ghana map shown by contours, gradient tints, and spot heights. Panel title. Accra map representative fraction shows 1:23,000, while Accra map bar scale shows 1:24,000. "© ITMB Publishing." Includes indexes, text. Inset maps: Accra centre, at scale 1:15,000 -- Cape Coast, at scale 1:50,000 -- Kumasi, at scale 1:60,000.
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Title: Cairo & Nile Delta : scale 1:12,500, 1:700,000
- Image data
- 2008
- Not owned by MIT (Owned by Princeton)
Summary: Relief shown by gradient tints and spot heights on Nile Delta map. Cairo map: "Cartography by Andrew Alfred-Duggan." Nile Delta map: "Cartography by Nguyen Hanh." Includes index of streets, location map, Cairo Metro guide, photographs, and color illustrations.
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Title: International travel maps, Sydney Australia / scale 1:10,000
- Image data
- 2007
- Not owned by MIT (Owned by Princeton)
Summary: Panel title. Copyright: ITMB Publishing Ltd. Includes index and color illustrations
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Title: Driving Boston & Cambridge : Walking Boston & Cambridge
- Image data
- 1997
- Not owned by MIT (Owned by Princeton)
Summary: Selected buildings are shown pictorially. "Copyright 1997 by Travel Graphics International."
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Title: U.S. Recreational Areas, 2018
- Point data
- 2018
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Recreational Areas represents point locations within the United States for common recreational landmarks including golf courses, beaches, amusement parks, and park and recreation areas.
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Title: U.S. Highways, 2008
- Line data
- 2002
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Highways represents the major and minor highways of the United States. These include interstates, U.S. highways, state highways, major roads, and minor roads. This dataset is from the Census 2000 TIGER/Line files. It contains all Class 1, 2, and 3 road segments plus any other road segments necessary to provide network connectivity for the Class_Rte field.
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Title: U.S. Census Block Groups, 2017
- Polygon data
- 2010
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Census Block Groups represents the Census block groups of the United States in the 50 states, the District of Columbia, and Puerto Rico.
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Title: U.S. Counties, 2017
- Polygon data
- 2010
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Counties represents the counties of the United States in the 50 states, the District of Columbia, and Puerto Rico.
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Title: U.S. Census Tracts, 2017
- Polygon data
- 2010
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Census Tracts represents the Census tracts of the United States in the 50 states, the District of Columbia, and Puerto Rico.
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Title: U.S. Institutions, 2018
- Point data
- 2018
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Institutions represents point locations within the United States for common institution landmarks including hospitals, educational institutions, places of worship, government offices, cemeteries, libraries, and museums.
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Title: U.S. ZIP Code Areas (Five-Digit), 2018
- Polygon data
- 2018
- Not owned by MIT (Owned by Princeton)
Summary: U.S. ZIP Code Areas (Five-Digit) represents five-digit ZIP Code areas used by the U.S. Postal Service to deliver mail more effectively. The first digit of a five-digit ZIP Code divides the United States into 10 large groups of states numbered from 0 in the Northeast to 9 in the far West. Within these areas, each state is divided into an average of 10 smaller geographical areas, identified by the second and third digits. These digits, in conjunction with the first digit, represent a sectional center facility or a mail processing facility area. The fourth and fifth digits identify a post office, station, branch or local delivery area.
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Title: U.S. County Boundaries, 2015
- Line data
- 2010
- Not owned by MIT (Owned by Princeton)
Summary: U.S. County Boundaries represents the boundary lines of the counties and county equivalents of the United States.
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Title: U.S. Major Highways, 2008
- Line data
- 2002
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Major Highways represents the major highways of the United States. These include interstates, U.S. highways, state highways, and major roads. This dataset is from the Census 2000 TIGER/Line files. It contains all Class 1 and 2 road segments plus any other road segments necessary to provide network connectivity for the Class_Rte field.
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Title: U.S. Large Area Landmarks, 2018
- Polygon data
- 2018
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Large Area Landmarks represents common landmark areas within the United States including military territories, hospitals, educational institutions, shopping centers, industrial areas, amusement parks, stadiums, golf courses, and cemeteries.
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Title: U.S. Airports, 2018
- Polygon data
- 2018
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Airports represents airport grounds and airport runways within the United States. All airports have a boundary, and most have at least one runway.
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Title: U.S. Telephone Area Code Boundaries, 2018
- Polygon data
- 2018
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Telephone Area Code Boundaries represents the telephone area codes for the United States. They are also known as Numbering Plan Areas (NPA). The Numbering Plan Areas reflect current and accurate boundary changes both where new NPAs split from existing NPAs and where new NPAs overlay existing NPAs.When an NPA is split, the geographic area covered by the old area code is divided geographically, with one portion retaining the previous area code and the other switching to the new area code. When a new NPA is added as an overlay, the old area code remains unaffected. Instead, all or part of the land covered by the old area code is now covered by the old and new area codes.