1,348 results returned
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Title: United States Faults, 1974
Contributors:- Line data
- 1974
- Not owned by MIT (Owned by Columbia)
Summary: United States faults is a line theme representing disjunctive dislocations, or breaks in the continuity of a geological formation throughout the United States.
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Title: Town Owned Land and Zoning Districts, Wrentham, Massachusetts, 1997 (Raster Image)
Contributors:- Raster data
- 2014
- Not owned by MIT (Owned by Harvard)
Summary: This layer is a georeferenced raster image of the historic paper map entitled: Town of Wrentham, town owned land and zoning districts, Earth Tech. It was published by Earth Tech in 1997. Scale 1:16,800]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, wetlands, cadastral parcels, territorial boundaries, shoreline features, and more. Includes also zoning districts and handwritten additions. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.
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Title: Zoning Map, Millis, Massachusetts, 2000 (Raster Image)
Contributors:- Raster data
- 2014
- Not owned by MIT (Owned by Harvard)
Summary: This layer is a georeferenced raster image of the historic paper map entitled: Official zoning map of the town of Millis, Massachusetts, Earth Tech [for] Millis Planning Board. It was published by Earth Tech in 2000. Scale [1:12,000]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, cities and other human settlements, territorial boundaries, shoreline features, and more. Includes also zoning districts, planning board members, street names, and watersheds. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.
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Title: Sedimentary Environment, Hudson River estuary, 2004
Contributors:- Polygon data
- 2005
- Not owned by MIT (Owned by CUGIR, Cornell University)
Summary: This dataset provides sedimentary environments of the Hudson River Estuary from Verrazano Narrows Bridge to Troy. Areas of the Hudson River shallower than 4 meters have not been surveyed and sampled completely. The sedimentary environment interpretation is based on the evaluation of Chirp sub-bottom acoustic profiler data in conjunction with acoustic backscatter and bathymetry data. It is subdivided into depositional, erosional, and dynamic classes that are further subdivided, depending on the details identified in the sub-bottom data, or because of their location. A more complete description of this interpretation can be found in Nitsche et al. (2004) and Nitsche et al. (2005) In 1996, the New York State Department of Environmental Conservation (DEC) initiated an effort to map the benthic habitat of the Hudson River Estuary as part of a larger Hudson River Action Plan. This project includes extensive mapping using sidescan sonar, sub-bottom profiling, single and multi-beam bathymetric sonars, as well as collecting ground truth data with sediment cores, grab samples, and sediment profiling imagery (SPI). The goal of the project is the creation of a comprehensive data set that includes detailed interpretive maps of the physical environment of the floor of the estuary. An overview of the first phase of the benthic mapping project can be found in Bell et al. (2006)
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Title: Sediment Type, Hudson River estuary, 2004
Contributors:- Polygon data
- 2005
- Not owned by MIT (Owned by CUGIR, Cornell University)
Summary: This dataset provides sediment types found on the floor of the Hudson River Estuary. The sediment type interpretation is based on the grain size analysis of the cores and grabs with some guidance from acoustic backscatter data collected with sidescan sonar. Sediment profile imagery (SPI) has also been used to supplement these interpretations. Since the first guide in developing this interpretation is contouring the results of the grain size interpretation there is deviation from the side scan images. In most research on sediments, grain size data is given in phi intervals rather than in microns, millimeters, or inches. One phi unit is equal to one Udden-Wentworth grade. Phi diameter is computed by taking the negative log of the diameter in millimeters. We have identified 9 major classes of sediment based on the Wentworth classification. In 1996, the New York State Department of Environmental Conservation (DEC) initiated an effort to map the benthic habitat of the Hudson River Estuary as part of a larger Hudson River Action Plan. This project includes extensive mapping using sidescan sonar, sub-bottom profiling, single and multi-beam bathymetric sonars, as well as collecting ground truth data with sediment cores, grab samples, and sediment profiling imagery (SPI). The goal of the project is the creation of a comprehensive data set that includes detailed interpretive maps of the physical environment of the floor of the estuary. An overview of the first phase of the benthic mapping project can be found in Bell, et al. (2006)
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Title: Shoreline, Hudson River estuary, 1998
Contributors:- Polygon data
- 2004
- Not owned by MIT (Owned by CUGIR, Cornell University)
Summary: This data set presents a detailed shoreline of the Hudson River Estuary, based upon shoreline data from the Hudson River Estuary Program (accuracy <5m) where such data are available, and NOAA data (accuracy >10m) for the remainder. To provide a complete detailed shoreline of the Hudson River Estuary, from Staten Island to Troy, New York.
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Title: The Nighttime Lights of the World
Contributors:- Not specified
- 1997
- Not owned by MIT (Owned by Stanford)
- National Geophysical and Solar-Terrestrial Data Center
- United States National Oceanic and Atmospheric Administration
- United States Group on Earth Observations
Summary: The Nighttime Lights of the World dataset contains the first satellite-based global inventory of human settlements, derived from nighttime data from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS). The DMSP-OLS has the unique capability to observe faint sources of visible-near infrared emissions present at the Earth's surface, including cities, towns, villages, gas flares, and fires. NGDC has developed algorithms for producing georeferenced fire and nighttime lights prod System requirements: Geographic Information Systems (GIS) software that reads ESRI shapefile format.
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Title: U.S. 116th Congressional Districts, 2018
Contributors:- Polygon data
- 2018
- Not owned by MIT (Owned by Princeton)
Summary: U.S. 116th Congressional Districts represents the political boundaries for the United States 116th congressional districts. The official membership is current as of February 11, 2019. The 116th Congress is seated from January 2019 to 2021.
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Title: U.S. National Atlas Urbanized Areas, 2015
Contributors:- Polygon data
- 2015
- Not owned by MIT (Owned by Princeton)
Summary: U.S. National Atlas Urbanized Areas represents urban areas in the United States. Urban areas are places that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, these places consist of areas of high population density and urban land use.
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Title: U.S. Summits (Geographic Names Information System), 2018
Contributors:- Point data
- 1981
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Geographic Names Information System Summits represents the Federal standard for geographic nomenclature and contains information about the proper names and locations of physical and cultural geographic features located throughout the United States and its Territories. The U.S. Geological Survey developed the Geographic Names Information System (GNIS) for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public.
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Title: U.S. Recreational Areas, 2018
Contributors:- 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
Contributors:- 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 Populated Place Areas, 2017
Contributors:- Polygon data
- 2010
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Census Populated Place Areas represents populated place areas within the United States that include both incorporated places and census designated places identified by the U.S. Census Bureau.
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Title: U.S. Rivers and Streams, 2004
Contributors:- Line data
- 2004
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Rivers and Streams represents detailed rivers and streams in the United States.
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Title: U.S. Census Block Groups, 2017
Contributors:- 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: World Lakes, 2001
Contributors:- Polygon data
- 2001
- Not owned by MIT (Owned by Princeton)
Summary: World Lakes represents the major lakes and inland seas of the world.
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Title: U.S. Counties, 2017
Contributors:- 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. National Atlas Water Feature Areas, 2012
Contributors:- Polygon data
- 2012
- Not owned by MIT (Owned by Princeton)
Summary: U.S. National Atlas Water Feature Areas represents the water feature areas (for example, glaciers, lakes, reservoirs, and swamps) of the United States.
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Title: U.S. Census Tracts, 2017
Contributors:- 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. Lakes (Generalized), 1992
Contributors:- Polygon data
- 1992
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Lakes (Generalized) represents the major lakes within United States.