14,968 datasets

Harvard Dataverse2011 · dataset · unknown

U.S. Census Block Centroid Populations : New Mexico represents the populations of the U.S. Census blocks for the state of New Mexico. U.S. Census blocks are the smallest geographic entities within a county for which the Census Bureau tabulates population.

Harvard Dataverse2011 · dataset · unknown

This datalayer displays the Elementary School Districts for the entire state. School districts are geographic entities within which state, county, tribal, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The UA Census 2000 TIGER/Line files contain school district infor

Harvard Dataverse2011 · dataset · unknown

This layer is a georeferenced raster image of the historic paper map entitled: Industrial map, Portland, Oregon : showing location of port facilities and principal industries with rail connections, compiled and distributed by the Commission of Public Docks. It was published by The Commission of Public Docks in 1921. Scale [ca. 1:21,000]. Covers also a portion of Vancouver, Washington. The image in

Harvard Dataverse2011 · dataset · unknown

This layer is a georeferenced raster image of the historic paper map entitled: Geometrischer Grundris der des Heiligen Romischen Reiches Freyen Stadt N?rnberg, B.F.A.G. del et sculp Aug. Vnd. It was published by Matth. Seutter, Kayserl. Geogr. in [1740]. Scale [ca. 1:3,300]. Covers Nuremberg, Germany. Map in German. The image inside the map neatline is georeferenced to the surface of the earth and

Harvard Dataverse2011 · dataset · unknown

This datalayer displays the Urbanized Areas (UAs) for the state. The Census Bureau defines UAs as an area consisting of a central place(s) and adjacent urban fringe that together have a minimum residential population of at least 50,000 people and generally an overall population density of at least 1,000 people per square mile of land area. The Census Bureau uses published criteria to determine the

Harvard Dataverse2011 · dataset · unknown

This datalayer displays the Type A class roads thoughout the state. Feature Class A roads include: Primary roads with limited access (interstate highways, toll highways); Primary roads without limited access (US highways, some state highways and county highways that connect cities and larger towns); regional and state highways state highways, Secondary and connecting roads (includes mostly state h

Harvard Dataverse2011 · dataset · unknown

The Massachusetts Department of Environmental Protection (DEP) major facilities datalayer is a statewide point dataset containing the location of a subset of facility types regulated by DEP's Bureau of Waste Prevention (BWP). In a preliminary effort to begin locating facilities regulated by DEP, the BWP chose to locate facility types having the greatest potential environmental significance. At thi

Harvard Dataverse2011 · dataset · unknown

The flood insurance risk zone layer contains information about the flood hazards for Iowa. These zones are used by the federal Emergency Management Agency (FEMA) to designate the Special Flood Hazard Area (SFHA) and for insurance rating purposes. These data are the flood hazard areas that are or will be depicted on the Flood Insurance Rate Map (FIRM). The spatial elements representing the flood zo

Harvard Dataverse2011 · dataset · unknown

The polygons in this datalayer represent ZIP Code Tabulation Areas (ZCTAs) for the entire state. ZCTAs are a new statistical entity developed by the U.S. Census Bureau for tabulating summary statistics from Census 2000. This new entity was developed to overcome the difficulties in precisely defining the land area covered by each ZIP Code. Defining the extent of an area is necessary in order to acc

Harvard Dataverse2011 · dataset · unknown

This datalayer displays the non-visible features for the state. This layer contains various types of nonvisible lines used to maintain the topology in the Census TIGER database. Non-visible features are used to delimit tabulation entities, property areas, legal and administrative entities. The U.S. Census Bureau separately identifies non-visible boundaries only when they do not follow a visible fe

Harvard Dataverse2011 · dataset · unknown

This datalayer depicts feature location and other associated data for American Indian tribal entities for those entities established on January 1, 1990. American Indian Reservations are areas that have been set aside by the United States for the use of tribes, the exterior boundaries of which are more particularly defined in the final tribal treaties, agreements, executive orders, federal statutes

Harvard Dataverse2011 · dataset · unknown

This datalayer displays the Secondary School Districts for the entire state. School districts are geographic entities within which state, county, tribal, or local officials provide public educational services for the area's residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The UA Census 2000 TIGER/Line files contain school district inform

Harvard Dataverse2011 · dataset · unknown

This shapefile represents the sovereign and non-sovereign, dependent states of Europe for the year 300. Sovereign states are considered as sovereign or independent states all entities fulfilling the following conditions: a) a territory covering a geographic area, b) an own population, c) an authority ruling the territory and the population, d) this authority is sovereign, i.e. not subject to any o

Harvard Dataverse2011 · dataset · unknown

World Countries (Generalized) represents generalized boundaries for the countries of the world as they existed in January 2006.

Harvard Dataverse2011 · dataset · unknown

This polygon datalayer depicts census tract level boundaries with associated census attribute data for the Atlanta Regional Commission's (ARC) 10-county region. Data displayed here was derived from the US Census Bureau SF-1 release of July, 2001. ARC documentation states that: "This Theme was derived from the 2000 TIGER files provided by the U.S. Census Bureau. All attribute data for the 564 censu

Harvard Dataverse2011 · dataset · unknown

This shapefile represents sovereign states of Europe for the year 300. Sovereign states are considered as sovereign or independent states all entities fulfilling the following conditions: a) a territory covering a geographic area, b) an own population, c) an authority ruling the territory and the population, d) this authority is sovereign, i.e. not subject to any other power or state. This layer i

Harvard Dataverse2011 · dataset · unknown

This layer is a georeferenced raster image of the historic paper map entitled: Uebersichtsplan zur Banordnung f?r den Stadtkreis C?ln. It was published by Wilh. Gross in 1905. Scale 1:15,000. Covers Cologne, Germany. Map in German. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Deutsches Hauptdreiecksnetz (DHDN) 3-degree Gauss-Kruger Zone 2 coordinate

Harvard Dataverse2011 · dataset · unknown

The polygons in this datalayer represent U.S. Census Blocks for the islands. Census blocks are statistical areas bounded on all sides by visible features such as streets, roads, streams, and railroad tracks, and by invisible boundaries such as city, town, township, and county limits, and short imaginary extensions of streets and roads. Generally census blocks are small in area; for example, a bloc

Harvard Dataverse2011 · dataset · unknown

This layer is a georeferenced raster image of the historic paper map entitled: Plan of Boston comprising a part of Charlestown and Cambridge, published by George G. Smith, engraver, 1835. Scale [ca. 1:7,310]. Covers Boston proper (Shawmut Peninsula and Boston Neck) with small portions of Charlestown, Cambridge, and South Boston. The image inside the map neatline is georeferenced to the surface of

Harvard Dataverse2011 · dataset · unknown

This point layer contains all of the city-owned street trees within Cambridge, Massachusetts.

Harvard Dataverse2011 · dataset · unknown

This layer is a georeferenced raster image of the historic paper map entitled: An accurate chart of the world with the new discoveries : also a view of the general &c coasting trade winds, monsoons or shifting trade winds & the variations of the compass ; from the latest and best authorities by T. Kitchin, Geographer for the Lond. Mag. It was published ca. 1774. Scale [ca. 1:90,000,000]. The image

Harvard Dataverse2011 · dataset · unknown

This datalayer displays the elementary school districts throughout the state. School districts are geographic entities within which state, county, or local officials or the Department of Defense provide public educational services for the areas residents. The U.S. Census Bureau obtains the boundaries and names for school districts from state officials. The U.S. Census Bureau first provided data fo

Harvard Dataverse2011 · dataset · unknown

The polygons represent U.S. Census Block Groups for the state. A Block Group (BG) is a cluster of census blocks having the same first digit of their four-digit identifying numbers within a census tract. For example, block group 3 (BG 3) within a census tract includes all blocks numbered from 3000 to 3999. BGs generally contain between 600 and 3,000 people, with an optimum size of 1,500 people. BGs

Harvard Dataverse2011 · dataset · unknown

This datalayer represents tangible physical features for Arizona. These features are neither transportation nor hydrographic in nature but may be used to determine boundary lines. The predominant Feature Codes in this layer are E00 (Physical feature, major and minor categories unknown); E20 (Topographic feature; major category used when the minor category could not be determined); and E21 (Ridge l

Harvard Dataverse2011 · dataset · unknown

This layer is a georeferenced raster image of the United States Aerospace Center's Tactical Pilotage Chart (TPC) 1:500,000 map series sheet entitled: TPC L-6A : Ethiopia, Somalia. Edition: 1. Revision date: 1985. Printed in: 1993. Covers all or portions of: Ethiopia, Somalia. The image inside the map neatline is georeferenced to the surface of the earth and fit to World Geodetic System (1984) coor