10,000+ results returned
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Title: Illinois-Indiana, Watseka quadrangle [1939 printing]
Contributors:- Quadrangle maps ; Topographic maps
- 1939
Summary: Topography by J.T. Schultz, R.G. Shirley, T.B. McNeill, and H. McDermith. Filing title: Watseka, Ill.-Ind. Polyconic projection. Relief shown by contours and spot heights. Shows portions of Iroquois County, Illinois, and Newton County, Indiana. Surveyed in 1934-1935. Imprint: [Washington, D.C.] : Geological Survey, [1939] Dimensions: 45 x 42 cm or smaller; Scale: 1:62,500
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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: Administrative District Boundaries, Germany, 1890s
Contributors:- Polygon data
- 2012
Summary: Administrative district boundary polygons for the German Empire as they existed in the 1890s. Source map was specifically drawn in 1894 and 1895. The specific nomenclature of the administrative units are state-dependent: kreise in Prussia, Baden, and other states; Amtshauptmannschaften in Saxony, Oberamter in Wurttemberg, etc. In addition to identifying the administrative boundary, the map provides additional information on the state, province, and other geopolitical structures to which the administrative unit belonged.Boundary data digitized from the source maps: Vogel, C. Karte Des Deutschen Reichs Im Massstab 1:500000. Gotha: J. Perthes, [c. 1907].
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Title: Electoral District Boundaries, Germany, 1890-1912
Contributors:- Polygon data
- 2011
Summary: Electoral district boundary polygons for Germany as they existed 1890-1912. Boundary data digitized from the source map: 'Konfessionsstruktur der Wahlkreise, 1890-1912' [Map 10] in Jurgen Schmadeke's Wahlerbewegung im Wilhelminischen Deutschland : die Reichstagwahlen von 1890-1912, Volume 2. (c)1995 Akedemie-Verlag. All rights reserved. Map data digitized here with permission.
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Title: Indiana Velpen quadrangle [1936 reprint]
Contributors:- Quadrangle maps ; Topographic maps
- 1936
Summary: Jno. H. Renshawe, geographer in charge , control by Geo. T. Hawkins , topography by Chas. W. Goodlove , engraved Oct. 1902 by U.S.G.S. Polyconic projection. Edition of Feb. 1903. Relief shown by contours and spot heights. Contour interval 20 feet. Includes diagram of township. Shows portions of Pike and Dubois counties in Indiana. Surveyed in 1900. Reprinted 1936. Imprint: Washington, D.C. : U.S. Geological Survey, [1903] Dimensions: 45 x 42 cm or smaller; Scale: 1:62,500
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Title: Mapping Interstate Territorial Conflict, 1947-2000 (v2)
Contributors:- Polygon data
- 2019
Summary: This polygon shapefile represents areas that were the subject of interstate territorial disputes between 1947 and 2000. The disputed areas referenced in this map were identified in 'The Democratic Peace and Territorial Conflict in the Twentieth Century' (Huth and Allee, 2002.) Each disputed region is rendered as a polygon encompassing the area of overlapping claims. Each region has a variable 'homeland,' indicating whether the area was ever part of a dispute involving homeland territory for both states. Each dispute is also assigned a precision code, from 1 to 5, where 1 represents the highest level of certainty and 5 represents the lowest level. The vast majority of claims represented in this dataset were bounded with relatively high precision. Research related to these data is described in 'Mapping Interstate Territorial Conflict: A New Data Set and Application.' An earlier version of this shapefile and other related information including annual data for dyads and direct dyads involved in disputes, as well as a file of the territorial disputes identified by Huth and Allee, can be found at: http://purl.stanford.edu/zc000fq4044. Schultz, Kenneth A. (2016). Mapping Interstate Territorial Conflict, 1947-2000 (v2). Stanford Digital Repository. Available at: http://purl.stanford.edu/jn766dx6840. Schultz, Kenneth A. "Mapping Interstate Territorial Conflict: A New Data Set and Applications." The Journal of Conflict Resolution (2015). Available at: http://dx.doi.org/10.1177/0022002715620470 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Strasbourg, France, City Planning, 1880 (Raster Image)
Contributors:- Raster data
- 2010
Summary: This layer is a georeferenced raster image of the historic paper map entitled: Bebauungsplan fur die Erweiterung der Stadt Strassburg. It was published by Druck und Verlag R. Schultz & Cie. in 1880. Scale 1:5,000. Covers Strasbourg, France. Map in German. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'European Datum 1950 UTM Zone 32N' coordinate system. 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 development plans for the expansion of the city of Strasbourg. It includes features such as existing and proposed roads (with measurements), railroads and stations, drainage, built-up areas and selected buildings, fortification, ground cover, parks, and more. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.
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Title: Lidar-Derived Tiled DEM for Manitowoc County, WI 2023
Contributors:- Raster data
- 2023
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
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
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
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.
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Title: Lidar-Derived Classified LAS for Manitowoc County, WI 2023
Contributors:- Point data
- 2023
Summary: This data represents Lidar-derived classified LAS points for Manitowoc 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 Tiled DEM for Buffalo County, WI 2016
Contributors:- Raster data
- 2023
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
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
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
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
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 Intensity Images for Burnett County, WI 2022
Contributors:- Raster data
- 2022
Summary: This data represents LiDAR-derived intensity images for for Burnett County, Wisconsin in 2015. 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 Breaklines for Burnett County, WI 2022
Contributors:- Line data
- 2022
Summary: This data represents LiDAR-derived breaklines in Burnett County, Wisconsin in 2022. 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 Tile Index for Burnett County, WI 2022
Contributors:- Polygon data
- 2022
Summary: This data represents the tile index used for LiDAR-derived datasets in Burnett County, Wisconsin in 2022. The tile index is a shapefile that shows how tiled lidar datasets are labeled and where they are located geographically.