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  1. Title: Railroads and the making of modern America

    Contributors:

    Summary: "[This site] explores the dynamic social change that came between 1850 and 1900 with the growth of railroads, telegraphs, steam ships and other technologies. It concentrates on the railroad network, and explores how the railroad's expansion and development brought profound economic, social, and political changes." Title from home page (viewed June 3, 2009). This collection includes shapefile data representing railroad networks in the United States from 1840 to 1870. Mode of access: World Wide Web.

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  2. Title: Grave Reform in Modern China

    Contributors:

    Summary: Grave Reform in Modern China is a digital humanities initiative based at Stanford that is building an interactive spatial and textual analysis platform to examine the phenomenon of grave relocation in modern China, a campaign that has led to the exhumation and reburial of 10 million corpses in the past decade alone, and has transformed China’s graveyards into sites of acute personal, social, political, and economic contestation.

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  3. Title: New York A.M.S. V821 1:25,000 Index, 2011

    Contributors:

    Summary: A.M.S. V821 New York 1:25,000 Index is a a polygon theme representing the Index of the New York State United States. Army Map Service ; V821. New York 1:25,000 series, and indicates which sheets are held in the Columbia Linraries collection.

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  4. Title: New York A.M.S. V721 1:50,000 Index, 2011

    Contributors:

    Summary: A.M.S. V721 New York 1:50,000 Index is a a polygon theme representing the Index of the New York State United States. Army Map Service ; V721. New York 1:50,000 series, and indicates which sheets are held in the Columbia Linraries collection.

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  5. Title: Home Owners' Loan Corporation Graded Neighborhoods, United States, 1935 [GeoJSON]

    Contributors:

    Summary: GeoJSON containing digitized polygons showing graded neighborhoods as designated by the Home Owners' Loan Corporation (HOLC) in 1935. Polygons were digitized from georeferenced HOLC Maps. The HOLC was established in 1933 by the U.S Congress to refinance mortgages in default and prevent foreclosures. In 1935 they created residential security maps for 239 cities to indicate the level of security for real-estate investments. The maps were graded such as the newest areas, which were considered desirable for lending received a "Type A" grade. These areas were primarily wealthy suburbs on the outskirts of town. Still Desirable neighborhoods were given a "Type B" grade and older neighborhoods were given a "Type C" grade and considered Declining. Lastly "Type D" neighborhoods were regarded as most risky for mortgage lending. This dataset is part of the Mapping Inequality project. Mapping Inequality brings one of the country's most important archives to the public. HOLC's documents contain a wealth of information about how government officials, lenders, and real estate interests surveyed and ensured the economic health of American cities. And with the help of ongoing research, we continue to learn at what cost such measures were realized University of Richmond. Digital Scholarship Lab. (2021). Home Owners' Loan Corporation Graded Neighborhoods, United States, 1935 [GeoJSON]. University of Richmond. Digital Scholarship Lab. Available at: https://purl.stanford.edu/rv900sk6861

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  6. Title: Mapping Inequality

    Contributors:

    Summary: Mapping Inequality is a digital humanities project that allows users to explore the history of redlining in the United States through an aggregation of records from the National Archives and Records Administration (NARA). It uses the Home Owners’ Loan Corporation’s records, dating between 1935 and 1940, to create an interactive map that reveals the ways city neighborhoods were rated according to their perceived desirability and risk levels for granting home loans. The site allows users to explore this information in different forms including the original digitized records, full transcriptions of the records, and excerpts that highlight significant details selected from the records by the project designers. The goal of Mapping Inequality is to call attention to the ways in which the practice of redlining contributed to the ongoing reality of racial inequality in the United States. Transcription is ongoing, and more information will be available on the site over time.

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  7. Title: Home Owners' Loan Corporation Graded Neighborhoods, United States, 1935

    Contributors:

    Summary: This shapefile contains digitized polygons showing graded neighborhoods as designated by the Home Owners' Loan Corporation (HOLC) in 1935. Polygons were digitized from georeferenced HOLC Maps. The HOLC was established in 1933 by the U.S Congress to refinance mortgages in default and prevent foreclosures. In 1935 they created residential security maps for 239 cities to indicate the level of security for real-estate investments. The maps were graded such as the newest areas, which were considered desirable for lending received a "Type A" grade. These areas were primarily wealthy suburbs on the outskirts of town. Still Desirable neighborhoods were given a "Type B" grade and older neighborhoods were given a "Type C" grade and considered Declining. Lastly "Type D" neighborhoods were regarded as most risky for mortgage lending. This dataset is part of the Mapping Inequality project. Mapping Inequality brings one of the country's most important archives to the public. HOLC's documents contain a wealth of information about how government officials, lenders, and real estate interests surveyed and ensured the economic health of American cities. And with the help of ongoing research, we continue to learn at what cost such measures were realized University of Richmond. Digital Scholarship Lab. (2021). Home Owners' Loan Corporation Graded Neighborhoods, United States, 1935. University of Richmond. Digital Scholarship Lab. Available at: https://purl.stanford.edu/db200dk3528 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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  8. Title: Total Nitrogen Deposition: San Francisco Bay Area, California, 2007

    Contributors:

    Summary: This raster dataset depicts a geography of nitrogen deposition for the nine county San Francisco Bay Area Region, California. Nitrogen deposition is the input of reactive nitrogen from the atmosphere into the biosphere as wet and dry deposition, either acidic gases and particles or acidic rain, fog and snow, respectively. An overabundance of nitrogen in the atmosphere and environment has deleterious effects on the biosphere. The source data was produced by the Center for Conservation Biology at the University of California, Riverside (UCR) and is based on a nitrogen deposition model data developed by the UCR College of Engineering Center for Environmental Research and Technology (CE-CERT). Raster values from both dry and wet nitrogen deposition models were added to provide the values stored in this raster. It represents total annual deposition of all forms of nitrogen for the calendar year 2002. These data are considered useful in studying the effect of nitrogen deposition on aspects of complex biological systems. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Total Nitrogen Deposition: San Francisco Bay Area, California, 2007. Bay Area Open Space Council. Available at http://purl.stanford.edu/ms113xc7369. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Total Nitrogen Deposition: San Francisco Bay Area, California, 2007. Bay Area Open Space Council. Available at: http://purl.stanford.edu/wf637hy7555 Source data available at: http://ccb.ucr.edu/biocommaps.html 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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  9. Title: Wet Nitrogen Deposition: San Francisco Bay Area, California, 2007

    Contributors:

    Summary: This raster dataset depicts a geography of wet nitrogen deposition for the nine county San Francisco Bay Area Region, California. Wet nitrogen deposition is the input of reactive nitrogen from the atmosphere into the biosphere as dry deposition, or acidic rain, fog and snow. An overabundance of nitrogen in the atmosphere and the environment has deleterious effects on the biosphere. The source data was produced by the Center for Conservation Biology at the University of California, Riverside (UCR) and is based on a nitrogen deposition model data developed by the UCR College of Engineering Center for Environmental Research and Technology (CE-CERT). Text values from the dry nitrogen deposition model were processed to provide the values stored in this raster. The model used here is total annual deposition and based on data from calendar year 2002. These data are considered useful in studying the effect of nitrogen deposition on aspects of complex biological systems. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Wet Nitrogen Deposition: San Francisco Bay Area, California, 2007. Bay Area Open Space Council. Available at http://purl.stanford.edu/cm136yf3289. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Wet Nitrogen Deposition: San Francisco Bay Area, California, 2007. Bay Area Open Space Council. Available at: http://purl.stanford.edu/xz140bp8057 Source data available at: http://ccb.ucr.edu/biocommaps.html 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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  10. Title: Dry Nitrogen Deposition: San Francisco Bay Area, California, 2007

    Contributors:

    Summary: This raster dataset depicts dry nitrogen deposition for the nine county San Francisco Bay Area Region, California. Dry nitrogen deposition is the input of reactive nitrogen from the atmosphere into the biosphere as dry deposition, or acidic gases and particles. An overabundance of nitrogen in the atmosphere and environment has deleterious effects on the biosphere. The source data was produced by the Center for Conservation Biology at the University of California, Riverside (UCR) and is based on a nitrogen deposition model data developed by the UCR College of Engineering Center for Environmental Research and Technology (CE-CERT). Text values from the dry nitrogen deposition model were processed to provide the values stored in this raster. The model used here is total annual deposition and based on data from calendar year 2002. These data are considered useful in studying the effect of nitrogen deposition on aspects of complex biological systems. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Dry Nitrogen Deposition: San Francisco Bay Area, California, 2007. Bay Area Open Space Council. Available at http://purl.stanford.edu/rd798dc1199. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Dry Nitrogen Deposition: San Francisco Bay Area, California, 2007. Bay Area Open Space Council. Available at: http://purl.stanford.edu/ct748xp2379 Source data available at: http://ccb.ucr.edu/biocommaps.html 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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  11. Title: Indian State Assembly Constituencies Boundaries Pre-2008

    Contributors:

    Summary: Boundaries of State Assembly and Parliamentary constituencies as of 2008.

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  12. Title: Indian State Assembly Constituencies Boundaries Post-2008

    Contributors:

    Summary: Boundaries of State Assembly and Parliamentary constituencies as of 2008.

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  13. Title: London, England, 1880 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Indicator map of London : with the recent improvements, 1880. It was published by C. Smith & Son in 1880. Scale [ca. 1:18,300]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the British National Grid coordinate system (British National Grid, Airy Spheroid OSGB (1936) Datum). 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, built-up areas, selected buildings, Borough boundaries, parks, docks, and more. Relief is shown by hachures. Includes location tape. 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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  14. Title: National Waterway Network

    Contributors:

    Summary: The National Waterway Network is a comprehensive network database of the nation's navigable waterways. The data set covers the 48 contiguous States plus the District of Columbia, Hawaii, Alaska, Puerto Rico and water links between. The nominal scale of the data set varies with the source material. The majority of the information is at 1:100,000 with larger scales used in harbor/bay/port areas and smaller scales used in open waters.

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  15. Title: National Waterway Network Nodes

    Contributors:

    Summary: The National Waterway Network is a comprehensive network database of the nation's navigable waterways. The data set covers the 48 contiguous States plus the District of Columbia, Hawaii, Alaska, Puerto Rico and water links between. Waterway Network Nodes may represent physical entities such as river confluences, ports/facilities, and intermodal terminals, US Army Corps of Engineers (USACE nodes), or may be inserted for analytical purposes. Approximately 224 USACE ports are geo-coded in the node database.

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  16. Title: Global Oil Pipelines

    Contributors:

    Summary: Global oil pipeline locations

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  17. Title: Labe region, Guinea, 1953, Army Map Service (AMS) NC 28-4 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the Army Map Service (AMS) Series G504, West Africa, 1:250,000 AMS Series sheet map entitled: Labe. Compilation date: 1953. Printed in: 1963. Covers portions of Labe region, Guinea. Map quadrangle number: NC 28-4. Edition statement: Ed. 2 - AMS. Compiled in 1953 from: Afrique Occidentale Francaise, 1:200,000, Service Geographique de l'Afrique Occidentale Francaise, Sheets C28 XXIII, 1932; C 28 XXIV, 1937; AF Preliminary Base, 1:500,000, ACIC, Sheet 780B, 1948; Croquis de l'Afrique Francaise, 1:1,000,000, Institut Geographique National, Sheet NC 28, 1946. The image inside the map neatline is georeferenced to the surface of the earth and fit to World Geodetic System (1984) coordinates. All map collar information is also available as part of the raster image. Series source sheets are of varying compilation dates (1952-1963) and editions, published by the Army Map Service. AMS Series G504 maps are in English. Each source map in the series is printed in color at a scale of 1:250,000. The source map was selected and downloaded from the University of Texas Libraries Web site by the Harvard University Center for Geographic Analysis (CGA) and georeferenced for the CGA's AfricaMap project by East View Cartographic. Individual AMS sheets covering a small portion of Africa (146 sheets in total) were selected from AMS series of: North Africa (P502), West Africa (G504), and South Africa (Z501). AMS Series maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works of humans, such as roads, railroads, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 50 meters, with some sheets having supplemental meter contours, form lines, hachures, shading, and/or spot heights. Depths shown by bathymetric isolines. Please pay close attention to map collar information on projections, spheroid, planimetric revision methods and dates, and keys to grid numbering and other numbers which appear inside the neatline.

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  18. Title: El Golea region, Algeria, 1953, Army Map Service (AMS) NH 31-6 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the Army Map Service (AMS) Series P502, North Africa, 1:250,000 AMS Series sheet map entitled: El Golea. Compilation date: 1953. Printed in: 1964. Covers portions of El Golea region, Algeria. Map quadrangle number: NH 31-6. Edition statement: Ed. 2 - AMS. Compiled in 1953 from: Carte du Sahara, 1:200,000, Institut Geographique National, Sheets NH 31-XV, NH 31-XIV, 1921-28 (reliability fair). The image inside the map neatline is georeferenced to the surface of the earth and fit to World Geodetic System (1984) coordinates. All map collar information is also available as part of the raster image. Series source sheets are of varying compilation dates (1951-1964) and editions, published by the Army Map Service. AMS Series P502 maps are in English. Each source map in the series is printed in color at a scale of 1:250,000. The source map was selected and downloaded from the University of Texas Libraries Web site by the Harvard University Center for Geographic Analysis (CGA) and georeferenced for the CGA's AfricaMap project by East View Cartographic. Individual AMS sheets covering a small portion of Africa (146 sheets in total) were selected from AMS series of: North Africa (P502), West Africa (G504), and South Africa (Z501). AMS Series maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works of humans, such as roads, railroads, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 50 meters, with some sheets having supplemental meter contours, form lines, hachures, shading, and/or spot heights. Depths shown by bathymetric isolines. Please pay close attention to map collar information on projections, spheroid, planimetric revision methods and dates, and keys to grid numbering and other numbers which appear inside the neatline.

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  19. Title: Mopti region, Mali, 1954, Army Map Service (AMS) ND 30-6 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the Army Map Service (AMS) Series G504, West Africa, 1:250,000 AMS Series sheet map entitled: Mopti. Compilation date: 1954. Printed in: 1956. Covers portions of Mopti region, Mali. Map quadrangle number: ND 30-6. Edition statement: Ed. 1 - AMS. Compiled in 1954 from Afrique Occidentale Francaise, 1:200,000, Service Geographique de l'Afrique Occidentale Francaise, Sheets ND 30-XIV, 1935; ND 30-XV, 1936. The image inside the map neatline is georeferenced to the surface of the earth and fit to World Geodetic System (1984) coordinates. All map collar information is also available as part of the raster image. Series source sheets are of varying compilation dates (1952-1963) and editions, published by the Army Map Service. AMS Series G504 maps are in English. Each source map in the series is printed in color at a scale of 1:250,000. The source map was selected and downloaded from the University of Texas Libraries Web site by the Harvard University Center for Geographic Analysis (CGA) and georeferenced for the CGA's AfricaMap project by East View Cartographic. Individual AMS sheets covering a small portion of Africa (146 sheets in total) were selected from AMS series of: North Africa (P502), West Africa (G504), and South Africa (Z501). AMS Series maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works of humans, such as roads, railroads, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 20 meters, with some sheets having supplemental meter contours, form lines, hachures, shading, and/or spot heights. Depths shown by bathymetric isolines. Please pay close attention to map collar information on projections, spheroid, planimetric revision methods and dates, and keys to grid numbering and other numbers which appear inside the neatline.

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  20. Title: Bi'r Ab? Minq?r region, Egypt, 1952, Army Map Service (AMS) NG 35-7 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the Army Map Service (AMS) Series P502, North Africa, 1:250,000 AMS Series sheet map entitled: Bir Abu Minqar. Compilation date: 1952. Printed in: 1958. Covers portions of Bi'r Ab? Minq?r region, Egypt. Map quadrangle number: NG 35-7. Edition statement: Ed. 2 - AMS. Compiled in 1952 from Egypt, 1:500,000, Survey of Egypt, Sheets 4 and 7, 1941 (reliability poor). The image inside the map neatline is georeferenced to the surface of the earth and fit to World Geodetic System (1984) coordinates. All map collar information is also available as part of the raster image. Series source sheets are of varying compilation dates (1951-1964) and editions, published by the Army Map Service. AMS Series P502 maps are in English. Each source map in the series is printed in color at a scale of 1:250,000. The source map was selected and downloaded from the University of Texas Libraries Web site by the Harvard University Center for Geographic Analysis (CGA) and georeferenced for the CGA's AfricaMap project by East View Cartographic. Individual AMS sheets covering a small portion of Africa (146 sheets in total) were selected from AMS series of: North Africa (P502), West Africa (G504), and South Africa (Z501). AMS Series maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works of humans, such as roads, railroads, boundaries, transmission lines, major buildings, etc. Relief is shown with form lines and hachures. Please pay close attention to map collar information on projections, spheroid, planimetric revision methods and dates, and keys to grid numbering and other numbers which appear inside the neatline.

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