10,000+ results returned
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Title: USA (Water Bodies, 2005)
Contributors:- Polygon data
- 2005
- MIT authentication required
Summary: U.S. Water Bodies represents the major lakes, reservoirs, large rivers, lagoons, and estuaries in the United States.
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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. Water Bodies, 2004
Contributors:- Polygon data
- 2004
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Water Bodies represents the major lakes, reservoirs, large rivers, lagoons, and estuaries in the United States.
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Title: U.S. Rivers and Streams, 2013
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. Water Bodies, 2013
Contributors:- Polygon data
- 2004
- Not owned by MIT (Owned by Princeton)
Summary: U.S. Water Bodies represents the major lakes, reservoirs, large rivers, lagoons, and estuaries in the United States.
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Title: USA (Populated Places, 2003)
Contributors:- Point data
- 2008
Summary: This data set includes cities in the United States, Puerto Rico and the U.S. Virgin Islands. These cities were collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December, 2003, data set.
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Title: U.S. Rivers and Streams, 2012
Contributors:- Line data
- 2004
- Not owned by MIT (Owned by Columbia)
- U.S. Geological Survey in cooperation with U.S. Environmental Protection Agency
- Environmental Systems Research Institute (Redlands, Calif.)
Summary: United States Rivers and Streams is a line theme representing detailed rivers and streams in the United States.
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Title: United States Water Bodies, 2012
Contributors:- Polygon data
- 2004
- Not owned by MIT (Owned by Columbia)
- U.S. Geological Survey in cooperation with U.S. Environmental Protection Agency
- Environmental Systems Research Institute (Redlands, Calif.)
Summary: United States Water Bodies is a polygon theme representing the major lakes, reservoirs, large rivers, lagoons, and estuaries in the United States.
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Title: EPA 2014 Toxics Release Inventory - Oregon
Contributors:- Point data
- 2014
- Not owned by MIT (Owned by Lewis and Clark)
Summary: The Toxics Release Inventory (TRI) tracks the management of certain toxic chemicals that may pose a threat to human health and the environment. Certain industrial facilities in the U.S. must report annually how much of each chemical is recycled, combusted for energy recovery, treated for destruction, and disposed of or otherwise released on- and off-site. This information is collectively referred to as production-related waste managed. This shapefile represent releases of TRI-covered chemicals to the environment in Oregon. A "release" of a chemical means that it is emitted to the air or water, placed in some type of land disposal, or transferred off-site for disposal or release.
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Title: NHD Flowline
Contributors:- Line data
- 2004
- Not owned by MIT (Owned by UC Berkeley Library)
Summary: The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee.
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Title: 1:250,000 Scale Land Use and Land Cover, New York, 1990
Contributors:- Polygon data
- 1990
- Not owned by MIT (Owned by CUGIR, Cornell University)
Summary: This is derived from land use/land cover digital data collected by USGS and coverted to ARC/INFO by the EPA. This data is useful for environmental assessment of land use patterns with respect to water quality analysis, growth management, and other types of environmental impact assessment. Use may be limited due to currency. Land use and land cover data (LU/LC) collected by USGS NMD is useful for environmental assessment of land use patterns with respect to water quality analysis, growth management, and other types of environmental impact assessment. Data are meant to be used by quadrangle, or among adjacent quadrangles where temporarily contiguous. Can be used in any geographic application where intermediate scale land use data are appropriate and the dates are representative. The purpose of the original files was to convert GIRAS data into EPA's standard GIS software. For use with other demographic and spatial data.
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Title: Lidar-Derived Tiled DEM for Buffalo County, WI 2016
Contributors:- Raster data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents a Lidar-derived tiled Digital Elevation Model (DEM) for Buffalo County, Wisconsin in 2023. A DEM represents the bare-Earth surface, removing all natural and built features. This dataset contains individual files available for download consisting of smaller tiled geographic areas over the extent of an entire county.
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Title: Lidar Tile Index Buffalo County, WI 2023
Contributors:- Polygon data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents the tile index used for Lidar-derived datasets in Buffalo County, Wisconsin in 2023. The tile index is a shapefile that shows how tiled Lidar datasets are labeled and where they are located geographically.
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Title: Lidar-Derived Breaklines for Buffalo County, WI 2023
Contributors:- Line data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents Lidar-derived breaklines in Buffalo County, Wisconsin in 2023. Hydro breaklines maintain the definition of water-related features in an elevation model. They are used to capture linear discontinuities in the surface, lake shorelines, single-line drains for small rivers, and double-line drains for large rivers.
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Title: Lidar-Derived Classified LAS for Buffalo County, WI 2023
Contributors:- Point data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents Lidar-derived classified LAS points for Buffalo County, Wisconsin in 2023. Point classification uses semi-automated techniques on the point cloud to assign the feature type associated with each point. Lidar points can be classified into a number of categories including bare earth or ground, top of canopy, and water. The different classes are defined using numeric integer codes in the LAS files.
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Title: Lidar-Derived Intensity Images Buffalo County, WI 2023
Contributors:- Raster data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents Lidar-derived tiled intensity images for Buffalo County, Wisconsin in 2023. Lidar intensity is recorded as the return strength of a laser beam. It is a bi-product, provided as an integer number between 1-256. This number varies with the composition of the surface object reflecting the laser beam. A low number indicates low reflectivity while a high number indicates high reflectivity. The intensity of the laser beam return can also be affected by the angle of arrival (scan angle), range, surface composition, roughness, and moisture content.
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Title: Lidar-Derived Tiled DEM for Manitowoc County, WI 2023
Contributors:- Raster data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents a Lidar-derived tiled Digital Elevation Model (DEM) for Manitowoc County, Wisconsin in 2023. A DEM represents the bare-Earth surface, removing all natural and built features. This dataset contains individual files available for download consisting of smaller tiled geographic areas over the extent of an entire county.
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Title: Lidar-Derived Intensity Images for Manitowoc County, WI 2023
Contributors:- Raster data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents Lidar-derived tiled intensity images for Manitowoc County, Wisconsin in 2023. Lidar intensity is recorded as the return strength of a laser beam. It is a bi-product, provided as an integer number between 1-256. This number varies with the composition of the surface object reflecting the laser beam. A low number indicates low reflectivity while a high number indicates high reflectivity. The intensity of the laser beam return can also be affected by the angle of arrival (scan angle), range, surface composition, roughness, and moisture content.
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Title: Lidar Tile Index for Manitowoc County, WI 2023
Contributors:- Polygon data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents the tile index used for Lidar-derived datasets in Manitowoc County, Wisconsin in 2023. The tile index is a shapefile that shows how tiled Lidar datasets are labeled and where they are located geographically.
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Title: Lidar-Derived Breaklines for Manitowoc County, WI 2023
Contributors:- Line data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents Lidar-derived breaklines for Manitowoc County, Wisconsin in 2023. Hydro breaklines maintain the definition of water-related features in an elevation model. They are used to capture linear discontinuities in the surface, lake shorelines, single-line drains for small rivers, and double-line drains for large rivers.