8,493 results returned
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Title: Canada Postal Areas, 2008
Contributors:- Polygon data
- 2008
- Not owned by MIT (Owned by Columbia)
Summary: Canada Postal Areas is a polygon theme representing the three-character Forward Sortation Areas (FSA) of Canada. This data set provides six levels of generalization for displaying the data at different scales. Everything about the levels is the same but the level of generalization and its name. The least generalized level is called <data set name>. The next more generalized level is called <data set name>_1, and so on. For best performance, use the most appropriate generalized level when displaying or printing.
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Title: Canada Postal Points, 2008
Contributors:- Point data
- 2008
- Not owned by MIT (Owned by Columbia)
Summary: Canada Postal Points is a point theme representing the centroids of the three-character Forward Sortation Areas (FSA) of Canada.
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Title: Canada Parks, 2008
Contributors:- Polygon data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Canada Parks is a polygon theme representing parks and forests within Canada at national and local levels. This data set provides six levels of generalization for displaying the data at different scales. Everything about the levels is the same but the level of generalization and its name. The least generalized level is called <data set name>. The next more generalized level is called <data set name>_1, and so on. For best performance, use the most appropriate generalized level when displaying or printing.
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Title: Canada Railroads, 2008
Contributors:- Line data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Canada Railroads is a line theme representing the railroads of Canada. This data set provides six levels of generalization for displaying the data at different scales. Everything about the levels is the same but the level of generalization and its name. The least generalized level is called <data set name>. The next more generalized level is called <data set name>_1, and so on. For best performance, use the most appropriate generalized level when displaying or printing.
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Title: Canada Major Cities, 2008
Contributors:- Point data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Canada Major Cities is a point theme representing the major cities of Canada including national and provincial capitals.
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Title: Canada Recreation Areas, 2008
Contributors:- Point data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Canada Recreation Areas is a point theme representing common recreation landmarks within Canada including golf courses, zoos, resorts, and other recreational facilities.
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Title: Canada Interstate Highways, 2008
Contributors:- Line data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Canada Interstate Highways is a line theme representing the interstate highways of Canada.
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Title: Canada Airports, 2008
Contributors:- Polygon data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Canada Airports is a polygon theme representing airport boundaries and runways within Canada. This data set provides six levels of generalization for displaying the data at different scales. Everything about the levels is the same but the level of generalization and its name. The least generalized level is called <data set name>. The next more generalized level is called <data set name>_1, and so on. For best performance, use the most appropriate generalized level when displaying or printing.
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Title: Canada Major Roads, 2008
Contributors:- Line data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Canada Major Roads is a line theme representing the major roads of Canada. These include interstates, inter-metropolitan area, and intra-state highways and major roads.
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Title: Canada Large Area Landmarks, 2008
Contributors:- Polygon data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Canada Large Area Landmarks is a polygon theme representing common landmark areas within United States including military areas, prisons, educational institutions, amusement centers, government centers, sport centers, golf courses, and cemeteries. Attribute information includes the are, name and FCC code of the landmark. This dataset is a part of the 2008 ESRI Data & Maps collection.
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Title: Canada Institutions, 2008
Contributors:- Point data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Canada Institutions is a point theme representing locations within Canada for common institution landmark types including hospitals, educational institutions, religious institutions, government centers, and cemeteries.
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Title: Canada Transportation Terminals, 2008
Contributors:- Point data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Canada Transportation Terminals is a point theme representing transportation terminals in Canada such as bus terminals, train stations, marine terminals, and other significant transportation nodes.
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Title: Canada City Areas, 2008
Contributors:- Polygon data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Canada City Areas is a polygon theme representing the city limits of cities in Canada. This data set provides six levels of generalization for displaying the data at different scales. Everything about the levels is the same but the level of generalization and its name. The least generalized level is called <data set name>. The next more generalized level is called <data set name>_1, and so on. For best performance, use the most appropriate generalized level when displaying or printing.
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Title: Canada Cities, 2008
Contributors:- Point data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Canada Cities is a point theme representing cities of Canada including national, state, and provincial capitals.
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Title: U.S. and Canada Highways, 2008
Contributors:- Line data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Canada Highways is a line theme representing the major highways of Canada. These include inter-metropolitan area highways and major roads.
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Title: United States State Boundaries, 2012
Contributors:- Line data
- 2011
- Not owned by MIT (Owned by Columbia)
Summary: United States State Boundaries is a line theme representing the boundary lines of the states of the United States.
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Title: United States States, 2012
Contributors:- Polygon data
- 2011
- Not owned by MIT (Owned by Columbia)
Summary: United States States is a polygon theme representing the 50 states, the District of Columbia, and Puerto Rico of the United States.
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Title: United States Transportation Terminals, 2010
Contributors:- Point data
- 2010
- Not owned by MIT (Owned by Columbia)
Summary: United States Transportation Terminals is a point theme representing transportation terminals such as bus stations, train stations, marine terminals, and other significant transportation nodes in the United States. Attribute information includes the name, type and FCC code of the terminals. This dataset is a part of the 2010 ESRI Data & Maps collection.
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Title: World Roads, 2010
Contributors:- Line data
- 2010
- Not owned by MIT (Owned by Columbia)
Summary: World Roads is a line theme representing the major roads and ferries of the world.
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Title: United States Five-Digit ZIP Code Areas, 2010
Contributors:- Polygon data
- 2010
- Not owned by MIT (Owned by Columbia)
Summary: United States Five-Digit ZIP Code Areas is a polygon theme representing 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. This dataset is a part of the 2010 ESRI Data & Maps collection.