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: 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: 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: 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. Locales (Geographic Names Information System), 2018
Contributors:- Point data
- 1981
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Geographic Names Information System Locales 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. National Atlas Cities, 2015
Contributors:- Point data
- 2014
- Not owned by MIT (Owned by Princeton)
Summary: U.S. National Atlas Cities represents cities and towns in the United States.
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Title: U.S. Transportation Terminals, 2018
Contributors:- Point data
- 2018
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Transportation Terminals represents locations within the United States for transportation terminals such as public transport stops, railway stations, ferry terminals, and other significant transportation nodes.
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Title: U.S. Hospitals (Geographic Names Information System), 2018
Contributors:- Point data
- 1981
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Geographic Names Information System Hospitals 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. Counties (Generalized), 2017
Contributors:- Polygon data
- 2002
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Counties (Generalized) represents the counties of the United States in the 50 states and the District of Columbia.
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Title: U.S. Golf Locales (Geographic Names Information System), 2018
Contributors:- Point data
- 1981
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Geographic Names Information System Golf Locales 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. 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. Telephone Area Code Boundaries, 2018
Contributors:- 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.
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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. National Transportation Atlas Railroads, 2002
Contributors:- Line data
- 2002
- Not owned by MIT (Owned by Princeton)
Summary: U.S. National Transportation Atlas Railroads represents a comprehensive database of the nation's railway system at 1:100,000 scale. The data set covers the 48 contiguous States plus the District of Columbia within United States.
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Title: World Drainage Systems, 1992
Contributors:- Line data
- 1992
- Not owned by MIT (Owned by Princeton)
Summary: World Drainage Systems represents the major drainage systems of the world.
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Title: U.S. Buildings (Geographic Names Information System), 2018
Contributors:- Point data
- 1981
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Geographic Names Information System Buildings 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.