10,000+ results returned
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Title: Map of parts of the Districts of Nipissing and Algoma exhibiting the country around Sudbury and eastward to the Ottawa River
Contributors:- Geological maps
- 1892
- Not owned by MIT (Owned by University of Michigan)
Summary: 1 map ; 67 x 121 cm Colors indicate the geological composition. Map also shows townships, rivers, lakes, railroad lines, Indian reserves, and other points of interest.
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Title: Road map, Ottawa County, Michigan
Contributors:- Not specified
- 1956
- Not owned by MIT (Owned by Michigan State University)
Summary: Extent: 1 map Notes: Indexed. Scale approximately 1:110,000
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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: Portland Topographical Map of 1964
Contributors:- Raster data
- 1964
- Not owned by MIT (Owned by Lewis and Clark)
Summary: This topographical map is a compilation of four Geological Survey Portland maps published in 1964. Georeferenced to fit Oregon North State Plane (feet) NAD 1927 coordinate system (Fipszone 3601).
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Title: USA (GNIS Buildings, 2005)
Contributors:- Point data
- 2005
- MIT authentication required
Summary: U.S. Geographic Names Information System Buildings represents an automated inventory of the proper names and locations of physical and cultural geographic features located throughout the United States and its Territories.
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Title: USA (GNIS Cemeteries, 2005)
Contributors:- Point data
- 2005
- MIT authentication required
Summary: U.S. Geographic Names Information System Cemeteries represents an automated inventory of the proper names and locations of physical and cultural geographic features located throughout the United States and its Territories.
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Title: USA (GNIS Churches, 2005)
Contributors:- Point data
- 2005
- MIT authentication required
Summary: U.S. Geographic Names Information System Churches represents an automated inventory of the proper names and locations of physical and cultural geographic features located throughout the United States and its Territories.
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Title: USA (GNIS Golf Locales, 2005)
Contributors:- Point data
- 2005
- MIT authentication required
Summary: U.S. Geographic Names Information System Golf Locales represents an automated inventory of the proper names and locations of physical and cultural geographic features located throughout the United States and its Territories. No data exists for Alaska.
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Title: USA (GNIS Locales, 2005)
Contributors:- Point data
- 2005
- MIT authentication required
Summary: U.S. Geographic Names Information System Locales represents an automated inventory of the proper names and locations of physical and cultural geographic features located throughout the United States and its Territories.
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Title: USA (GNIS Summits, 2005)
Contributors:- Point data
- 2005
- MIT authentication required
Summary: U.S. Geographic Names Information System Summits represents an automated inventory of the proper names and locations of physical and cultural geographic features located throughout the United States and its Territories.
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Title: USA (Geographic Names Information System Hospitals, 2005)
Contributors:- Point data
- 2005
- MIT authentication required
Summary: U.S. Geographic Names Information System Hospitals represents an automated inventory of the proper names and locations of physical and cultural geographic features located throughout the United States and its Territories.
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Title: USA (Geographic Names Information System Schools, 2005)
Contributors:- Point data
- 2005
- MIT authentication required
Summary: U.S. Geographic Names Information System Schools represents an automated inventory of the proper names and locations of physical and cultural geographic features located throughout the United States and its Territories.
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Title: USA (Geographic Names Information System Populated Places, 2005)
Contributors:- Point data
- 2005
- MIT authentication required
Summary: U.S. Geographic Names Information System Populated Places represents an automated inventory of the proper names and locations of physical and cultural geographic features located throughout the United States and its Territories.
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Title: USA (Oil & Gas, 2003)
Contributors:- Point data
- 2003
Summary: National Oil and Gas Assessment.The USGS Central Region Energy Team assessed the oil and gas resources of the United States. Cell maps for each oil and gas production area were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play. Each cell represents a one-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, or dry. The well information was initially retrieved from the Petroleum Information Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data used to generate the cells are from WHCS and are current as of December, 1990.
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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.