10,000+ results returned
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Title: Map of the Bombay presidency.
Contributors:- Not specified
- 1897
Summary: Cartographic Details: Scale 1:1,900,800. 30 miles to 1 in. (E 66°34'00"--E 76°16'00"/N 28°38'00"--N 13°56'00"). Shows part of west-central India."Drawn & Litho: Govt. Photozinco Office Poona, 1897.""(Signed) W. Gatacre, Brig: Genl.""Plan Number 7." 56 x 91 centimeters
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Title: IMD HRDGT v1951-2016
Contributors:- Not specified
- 2018
Summary: High spatial resolution (1 x 1 degree) daily gridded temperature data for India from the India Meteorological Department (IMD). Data are available for maximum temperature (maxT), minimum temperature (minT), and mean temperature (meanT). GRD and ASCII files are provided for each year from 1951 to 2016. The unit of temperature is in Celsius. Gridded data for the year 2008 and onwards are based on relatively less number of stations (around 180) for which data were received operationally on real time basis.
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Title: IMD RF0p25 v1901-2017
Contributors:- Not specified
- 2018
Summary: This collection contains India Meteorological Department (IMD) high spatial resolution (0.25 x 0.25 degree) daily gridded rainfall data for India. Data for each year from 1901 to 2017 are available in GRD (.grd) and ASCII (.TXT) format. All the gridded data are given in the directory RF_DATA_PT25. This subdirectories contain 117 binary data files one each for 117 years (1901-2017). The rainfall data files are named as ind1901_rfp25.grd, ind1902_rfp25.grd etc. ASCII files of gridded rainfall data are stored in folder ASCII_DATA_PT25 as a zipped file.
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Title: IMD RF0p25 v1901-2017
Contributors:- Not specified
- 2018
Summary: This dataset contains India Meteorological Department (IMD) high spatial resolution (0.25 x 0.25 degree) daily gridded rainfall data for India. Data for each year from 1901 to 2017 are available in GRD (.grd) and ASCII (.TXT) format. All the gridded data are given in the directory RF_DATA_PT25. This subdirectories contain 117 binary data files one each for 117 years (1901-2017). The rainfall data files are named as ind1901_rfp25.grd, ind1902_rfp25.grd etc. ASCII files of gridded rainfall data are stored in folder ASCII_DATA_PT25 as a zipped file.
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Title: Map of the District of Columbia showing location of schools
Contributors:- Not specified
- 1907
- District of Columbia
- Board of Education
- United States. Congress (59th, 2nd session : 1906-1907). House
- Norris Peters Co.
Summary: Extent: 1 map Abstract: Map of Washington, D.C., showing public schools classified by race ("white schools" and "colored schools"). Notes: Relief shown by contours. Oriented with north to the upper left. Map detached from a United States House of Representatives document in the United States congressional serial set (5127 H.doc.8/4): Report of the Commissioners of the District of Columbia for the year ended June 30, 1906. Vol. IV, Report on Board of Education. Washington : Government Printing Office, 1907. Series transcription from: Report of the Commissioners of the District of Columbia for the year ended June 30, 1906. Vol. IV, Report on Board of Education. Includes notes.
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Title: Map of the city of Washington showing location of fatal cases of consumption for the year ended June 30, 1901
Contributors:- Not specified
- 1901
- District of Columbia
- Board of Commissioners
- United States. Congress (57th, 1st session : 1901-1902). House
- Norris Peters Co.
Summary: Extent: 1 map Abstract: Map of central Washington, D.C, showing locations of deaths from tuberculosis ("consumption") classified by race ("white" and "colored"). Also shows block numbers. Notes: Map detached from a United States House of Representatives document (Serial Set 4302 H.doc.7): Report of the Commissioners of the District of Columbia for the year ended June 30, 1901. Includes directory of "Width of streets and avenues.".
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Title: LiDAR-Derived Bare Earth DEM for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021
Contributors:- Raster data
- 2021
Summary: This data represents a LiDAR-derived bare earth Digital Elevation Model (DEM) for the Milwaukee Metropolitan Sewerage District (MMSD), Wisconsin in 2021. This dataset contains a single file covering the geographic extent of the entire county.
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Title: LiDAR-Derived Digital Surface Model (DSM) for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021
Contributors:- Raster data
- 2021
Summary: This data represents a LiDAR-derived digital surface model (DSM) for the Milwaukee Metropolitan Sewerage District (MMSD), Wisconsin in 2021. A Digital Surface Model captures both the natural and built/artificial features of the environment.
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Title: LiDAR-Derived Hydro-Enforced DEM for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021
Contributors:- Raster data
- 2021
Summary: This data represents a LiDAR-derived hydro-enforced Digital Elevation Model (DEM) for the Milwaukee Metropolitan Sewerage District (MMSD), Wisconsin in 2021. This dataset contains a single file covering the geographic extent of the entire county.
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Title: LiDAR-Derived Breaklines for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021
Contributors:- Line data
- 2021
Summary: This data represents LiDAR-derived breaklines for the Milwaukee Metropolitan Sewerage District (MMSD) in 2021. 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 Buildings (3-D) for the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021
Contributors:- Polygon data
- 2021
Summary: This data represents buildings (3-D) for the Milwaukee Metropolitan Sewerage District (MMSD) in 2021. [3-D Building Models representing every building in Milwaukee County, WI present in the 2020 lidar survey. Models are based a standardized feature extraction algorithm using esri software. There are roughly 3 levels of detail present in the dataset: Level of Detail (LOD) 1 (simple/prismatic buildings with flat roof detail), LOD 2 (includes roof structure details such as hip and gable roofforms), LOD 3 with several iconic buildings modeled to to mimic their real-world aesthetic (examples are: US Bank Building, Miller Park, and Milwaukee City Hall). Highlights of the model include the differentiation of building components including roof, facades, and ground plane. Data is made available as a single Multipatch feature class consisting of over 400,000 individual building models.]
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Title: LiDAR-Derived Culverts (Lines) for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021
Contributors:- Line data
- 2021
Summary: This data represents LiDAR-derived culverts (lines) for the Milwaukee Metropolitan Sewerage District (MMSD) in 2021. [3D culvert lines and points were generated from lidar bare earth DEM's and 2020 WROC 12 inch stereoimagery. During extraction a degree of user interpretation was necessary in determining culverts versus other similar cultural features. The Lidar base project DEM will be hydro flattened but not hydro-enforced which is typically used on water and flood modeling. To hydro enforce the DEM, we will collect culvert locations across the county. These culvert lines will then be draped to the Lidar point cloud, and the lowest elevation will be applied to the line. We will use the resulting 3D breakline to reclassify the ground points and cut the DEM, allowing water to flow through the culverts, rather than dam against the road bank. This is useful for hydro modeling and land conservation planning across the county.]
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Title: LiDAR-Derived Culverts (Points) for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021
Contributors:- Point data
- 2021
Summary: This data represents LiDAR-derived culverts (points) for the Milwaukee Metropolitan Sewerage District (MMSD) in 2021. [3D culvert lines and points were generated from lidar bare earth DEM's and 2020 WROC 12 inch stereoimagery. During extraction a degree of user interpretation was necessary in determining culverts versus other similar cultural features. The Lidar base project DEM will be hydro flattened but not hydro-enforced which is typically used on water and flood modeling. To hydro enforce the DEM, we will collect culvert locations across the county. These culvert lines will then be draped to the Lidar point cloud, and the lowest elevation will be applied to the line. We will use the resulting 3D breakline to reclassify the ground points and cut the DEM, allowing water to flow through the culverts, rather than dam against the road bank. This is useful for hydro modeling and land conservation planning across the county.]
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Title: LiDAR-Derived Depressions for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021
Contributors:- Mixed
- 2021
Summary: This data represents LiDAR-derived depressions for the Milwaukee Metropolitan Sewerage District (MMSD) in 2021. [Closed depressions are important features in the landscape and knowing their locations aid in the understanding of topics ranging from water recharge to water quality and flooding. A series of automated routines were used to map closed depressions over 0.1 acres in size throughout Milwaukee County. The 2021 culvert inventory and 2021 hydro-enforced DEM were used to develop the closed depressions. ArcGIS Pro with Spatial Analyst Extension software was utilized to extract depressions from the hydro-enforced DEM. The initial step was to create a raster with filled depressions from the hydro-enforced DEM. The filled raster was then combined with the original DEM using a maximum operator creating a mosaic raster. The mosaic raster accounts for all depressions, but eliminates digital trenches located at culvert locations from the hydro-enforced DEM. The original DEM was then subtracted from the mosaic raster to extract depressions. Depression depths greater than 1 inch were then extracted. The greater than 1 inch depth raster was used to convert depression areas to polygons. Polygons greater than 0.1 acres were selected for the final closed depression dataset. The layer is intended to represent the greatest extent of individual surface depressions regardless of the degree of drainage at each setting. The depressions file can be shaded to show depth. A low elevation point layer was created for each depression and includes a depth value at the low point. A boundary polygon shapefile of closed depressions was generated including an acreage value. Closed depression mapping is influenced by project boundaries. Depressions that intersect the edge of the project boundary will either be partially filled to the height of the low point of the depression at the boundary, or not filled at all in cases where depression bottoms are flat and extend beyond the boundary. Lidar collection buffer areas improve the mapping accuracy of depressions within the subject county.]
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Title: LiDAR-Derived Tiled Bare Earth DEM for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021
Contributors:- Raster data
- 2021
Summary: This data represents LiDAR-derived tiled bare earth digital elevation model (DEM) for the Milwaukee Metropolitan Sewerage District (MMSD), Wisconsin in 2021. A DEM represents the bare earth surface, removing all natural and built features.
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Title: LiDAR-Derived Tiled DSM for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021
Contributors:- Raster data
- 2021
Summary: This data represents LiDAR-derived tiled digital surface model (DSM) for the Milwaukee Metropolitan Sewerage District (MMSD) (covering all of Milwaukee County) Wisconsin in 2021. A Digital Surface Model captures both the natural and built/artificial features of the environment.
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Title: LiDAR-Derived Classified LAS for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2020
Contributors:- Point data
- 2020
Summary: This data represents LiDAR-derived classified LAS points for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), Wisconsin in 2020. 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: Milwaukee Metropolitan Sewerage District Boundaries Milwaukee, Wisconsin 2017
Contributors:- Polygon data
- 2017
Summary: These polygon feature classes represent Combined Sewer Areas, Milwaukee Metropolitan Sewerage District Service Areas, and Milwaukee Metropolitan Sewerage District Planning Area Boundaries in 2017.COMBINED_SEWER_AREA: [Area representing combined sewer area. Created from 2050 Sewershed file.]MMSD_SERVICE_AREA: [A Service Area is a spatial representation of the service areas within the 28 different municipalities served by MMSD.PLANNING_AREA_BOUNDARY: [A Planning Area Boundary is a spatial representation of the furthest geographic extent that can be serviced by MMSD.]
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Title: Sewerage System, Melrose, Massachusetts, 1936 (Raster Image)
Contributors:- Raster data
- 2014
Summary: This layer is a georeferenced raster image of the historic paper map entitled: Map of the city of Melrose showing sewerage system. It was published by the Metropolitan District Commission in 1936. Scale [1:4,800]. 1 in. = 400 ft. 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 sewerage system legend and names of green spaces, watersheds, and streets. 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: Ferry Route
Contributors:- Line data
- 2007
Summary: Golden Gate Ferry routes were digitized from the "Winter 2003-2004 Golden Gate Bus Ferry Transit Guide."