3,484 results returned
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Title: World Geologic Provinces, 2000
- Polygon data
- 2000
- Not owned by MIT (Owned by Columbia)
- Lee M. Osmonson, USGS, Denver, CO (comp.)
- Feliks M. Persits, Contractor to USGS, Denver, CO (comp.)
- Douglas W. Steinshouer, Contractor to USGS, Denver, CO
- Timothy R. Klett, USGS, Denver, CO (comp.) and others
Summary: Geologic Provinces is a polygon theme representing U.S. Geological Survey defined geologic provinces of the World. Each province has a set of geologic characteristics distinguishing it from surrounding provinces. These characteristics may include the dominant lithologies, the age of the strata, and the structural style. Some provinces include multiple genetically-related basins. Offshore province boundaries are generally defined by the 2000 meter bathymetric contour, but where appropriate are defined by the 4000 meter bathymetric contour. In some cases province boundaries are delineated by political boundaries, as in the case of The United States and Canada, because United States petroleum resources were assessed separately by the U.S. Geological Survey. Provinces are classified as either Priority or Boutique. A priority province is one of 76 non-U.S. geologic provinces defined by the U.S. Geological Survey that together contain 95 percent of the world's non-U.S. known petroleum volume. All priority provinces were analyzed for undiscovered petroleum-resources. A boutique province is a geologic province, other than a priority province, as defined by the U.S. Geological Survey, considered for petroleum-resource assessment. Boutique provinces can be chosen for a variety of geologic, political, technical and geographic reasons. Resource-assessments are conducted by scientists of the U.S Geological Survey's World Petroleum Assessment 2000 by means of a combination of Petroleum System analysis based on available geologic information, and statistical analysis of production and exploration information. Total petroleum systems are defined in provinces considered for assessment analysis. Total petroleum systems are subdivided into Assessment Units. Assessment results from the analysis of assessment units and total petroleum systems are aggregated and allocated to geologic provinces. Summary results are presented as attributes of this coverage.
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Title: Former Soviet Union Capitals, 2001
- Point data
- 2001
- Not owned by MIT (Owned by Princeton)
Summary: This shapefile contains points describing the locations of capital cities of the countries comprising the Former Soviet Union. (Armenia, Azerbaijan, Belarus, Estonia, Georgia, Kazakhstan, Kyrgyzstan, Latvia, Lithuania, Moldova, Russia, Tajikstan, Turkmenistan, Ukraine and Uzbekistan.)
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Title: Former Soviet Union Cities, 2001
- Point data
- 2001
- Not owned by MIT (Owned by Princeton)
Summary: This shapefile contains points describing the locations of selected cities of the countries comprising the Former Soviet Union. (Armenia, Azerbaijan, Belarus, Estonia, Georgia, Kazakhstan, Kyrgyzstan, Latvia, Lithuania, Moldova, Russia, Tajikstan, Turkmenistan, Ukraine and Uzbekistan.)
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Title: World (Petroleum Fields, 2003)
- Point data
- 2003
- Feliks M. Persits, Contractor to USGS, Denver, CO (comp.)
- Douglas W. Steinshouer, Contractor to USGS, Denver, CO (comp.)
- Timothy R. Klett, USGS, Denver, CO (comp.) and others
Summary: This shapefile includes arcs and polygons that describeU.S. Geological Survey delineatedTotal Petroleum Systems of the World. Each petroleum systemis defined as a mappable entity encompassing geneticallyrelated petroleum that occurs in seeps, shows and accumulations(discovered or undiscovered) that have been generated by a pod,or by closely related pods, of mature source rock, together withthe essental mappable geologic elements (source, reservoir, sealand overburden rocks) that control fundamental processes ofgeneration, migration, entrapment and preservation of petroleum.Total petroleum systems are described by U.S. Geological Surveyscientists on the basis of exploration and production histories,and extensive literature searches. Total petroleum systems areidentified with a numeric code derived from the numeric codeof the World Geologic Provinces as defined by theU.S. Geological Survey World Energy Project. Most totalpetroleum systems are contained within a single geologicprovince, but there are numerous cases where systemsspan more than one province. Summary results of the assessmentare presented as attributes of this shapefile.
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Title: Former Soviet Union Countries, 2001
- Polygon data
- 2001
- Not owned by MIT (Owned by Princeton)
Summary: This shapefile contains arcs, polygons and polygon labels that describe the political boundaries of the countries comprising the Former Soviet Union. (Armenia, Azerbaijan, Belarus, Estonia, Georgia, Kazakhstan, Kyrgyzstan, Latvia, Lithuania, Moldova, Russia, Tajikstan, Turkmenistan, Ukraine and Uzbekistan.)
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Title: World Geologic Provinces
- Polygon data
- 2000
- Not owned by MIT (Owned by Princeton)
Summary: This shapefile includes arcs and polygons that describe U.S. Geological Survey defined geologic provinces of the World. Each province has a set of geologic characteristics distinguishing it from surrounding provinces. These characteristics may include the dominant lithologies, the age of the strata, and the structural style. Some provinces include multiple genetically-related basins. Offshore province boundaries are generally defined by the 2000 meter bathymetric contour, but where appropriate are defined by the 4000 meter bathymetric contour. In some cases province boundaries are delineated by political boundaries, as in the case of The United States and Canada, because United States petroleum resources were assessed separately by the U.S. Geological Survey. Provinces are classified as either Priority or Boutique. A priority province is one of 76 non-U.S. geologic provinces defined by the U.S. Geological Survey that together contain 95 percent of the world's non-U.S. known petroleum volume. All priority provinces were analyzed for undiscovered petroleum-resources. A boutique province is a geologic province, other than a priority province, as defined by the U.S. Geological Survey, considered for petroleum-resource assessment. Boutique provinces can be chosen for a variety of geologic, political, technical and geographic reasons. Resource-assessments are conducted by scientists of the U.S Geological Survey's World Petroleum Assessment 2000 by means of a combination of Petroleum System analysis based on available geologic information, and statistical analysis of production and exploration information. Total petroleum systems are defined in provinces considered for assessment analysis. Total petroleum systems are subdivided into Assessment Units. Assessment results from the analysis of assessment units and total petroleum systems are aggregated and allocated to geologic provinces. Summary results are presented as attributes of this coverage.
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Title: Populated Points, Solano County, California, 2007
- Point data
- 2007
- Not owned by MIT (Owned by UC Berkeley Library)
Summary: This point layer contains the locations and names of 'populated places' within the County of Solano. The source data for this layer is Teale Data Center's California specific extraction of the U.S. Geological Survey's Geographic Names Information System (GNIS) datafiles. These features are compiled mainly from USGS map products, such as the 7.5' 1:24,000 quads. Modifications were made to the source data to suit the intended purpose of the layer.
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Title: Distribution of sinkholes and sinking-stream basins with locations of cave openings in Central Southern Indiana
- Geological maps
- 2002
- Not owned by MIT (Owned by Indiana University)
Summary: This map data was compiled in 1997 from information available at the time, but was unpublished until until 2002; the map does not reflect any changes in data since 1997.' Includes location map and text. Scale 1:250,000. By Richard L. Powell, Samuel S. Frushour, and Denver Harper; drafted By Rea Williams Kersey.
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Title: Map showing selected subsurface dye traces in south-central Indiana
- Thematic maps
- 2000
- Not owned by MIT (Owned by Indiana University)
Summary: Digital cartogrpahy by Kimberly H. Sowder.' Includes text, index map, location map, and 'Sources of subsurface dye trace information.' Scale 1:500,000. By Samuel S. Frushour, Denver Harper, and Christopher R. Dintaman.
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Title: The Making of Colorado
- Not specified
- 1935
- Not owned by MIT (Owned by University of Michigan)
Summary: 1 map ; 68 x 51 cm Compiled as souvenir of American Library Association Conference in Denver in 1935. Includes Colorado's historical events and trails.
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Title: A chart showing the favorite resort of the sperm and right whale by M.F. Maury L.L.D. Lieut. U.S. Navy; constructed from Maury's whale chart of the world by Robt. H. Wyman Lieut. U.S.N.
- Thematic maps ; World maps
- 1853
- Not owned by MIT (Owned by University of Michigan)
- Maury, Matthew Fontaine, 1806-1873
- Morris, Charles, 1784-1856
- W. Endicott & Co.
- Wyman, R. H. (Robert Harris), 1822-1882
Summary: Greenwich prime meridian. "By authority of Commo: Charles Morris U.S.N., Chief of Bureau of Ordnance and Hydrography, 1853." "Lith of Endicott & Co. N.Y." 1 map: col., encapsulated in Mylar; 60 x 93 cm.
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Title: Addresses Douglas County, WI 2024
- Point data
- 2024
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents addresses for Douglas County, Wisconsin in 2024.
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Title: Zoning (General) Douglas County, WI 2024
- Polygon data
- 2024
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents General Zoning for Douglas County, Wisconsin in 2024. [Douglas County Zoning Zone descriptions. A1 - Agricultural; C1 - Commercial; F1 - Forestry; I1 - Industrial; PUD - Planned Unit Development; R1 - Residential1; R2 - Residential 2; RR1 - Residential Recreation; W1 - Resource Conservation.]
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Title: Roads Douglas County, WI 2024
- Line data
- 2024
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents roads for Douglas County, Wisconsin in 2024. [Refinement of dataset ready for Network Analyst and routing 1-13-2011 RJ. City of Superior, Douglas County and Forestry gas tax road Centerline datasets merged together to create a countywide feature class. Also included are the COS Snow Routes and COS Truck Routes, both of these routes have a field of data that gives their designation.]
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Title: PLSS Douglas County, WI 2024
- Point data
- 2024
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents public land survey system (PLSS) corners for Douglas County, Wisconsin in 2024.
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Title: Roads Douglas County, WI 2023
- Line data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents roads for Douglas County, Wisconsin in 2023. [Refinement of dataset ready for Network Analyst and routing 1-13-2011 RJ. City of Superior, Douglas County and Forestry gas tax road Centerline datasets merged together to create a countywide feature class. Also included are the COS Snow Routes and COS Truck Routes, both of these routes have a field of data that gives their designation.]
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Title: Addresses Douglas County, WI 2023
- Point data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents addresses for Douglas County, Wisconsin in 2023.
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Title: Zoning (General) Douglas County, WI 2023
- Polygon data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents General Zoning for Douglas County, Wisconsin in 2023. [Douglas County Zoning Zone descriptions. A1 - Agricultural; C1 - Commercial; F1 - Forestry; I1 - Industrial; PUD - Planned Unit Development; R1 - Residential1; R2 - Residential 2; RR1 - Residential Recreation; W1 - Resource Conservation.]
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Title: PLSS Douglas County, WI 2023
- Point data
- 2023
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents public land survey system (PLSS) corners for Douglas County, Wisconsin in 2023.
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Title: Roads Douglas County, WI 2022
- Line data
- 2022
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This data represents roads for Douglas County, Wisconsin in 2022. [Refinement of dataset ready for Network Analyst and routing 1-13-2011 RJ. City of Superior, Douglas County and Forestry gas tax road Centerline datasets merged together to create a countywide feature class. Also included are the COS Snow Routes and COS Truck Routes, both of these routes have a field of data that gives their designation.]