10,000+ results returned
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Title: Mapping Inequality
Contributors:- Not specified
- 2021
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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Title: Home Owners' Loan Corporation Graded Neighborhoods, United States, 1935 [GeoJSON]
Contributors:- Not specified
- 2021
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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Title: Home Owners' Loan Corporation Graded Neighborhoods, United States, 1935
Contributors:- Polygon data
- 2021
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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Title: London and vicinity, England : Street Centerlines, 2006
Contributors:- Line data
- 2008
Summary: London, England street centerline vectors with road type attributes extracted from DigitalGlobe QuickBird CitySphere high-resolution (60cm) satellite imagery ortho mosaics.
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Title: Madrid, Spain : Street Centerlines, 2005
Contributors:- Line data
- 2008
Summary: Madrid, Spain street centerline vectors with road type attributes extracted from DigitalGlobe QuickBird CitySphere high-resolution (60cm) satellite imagery ortho mosaics.
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Title: Paris, France : Street Centerlines, 2006
Contributors:- Line data
- 2008
Summary: Paris, France street centerline vectors with road type attributes extracted from DigitalGlobe QuickBird CitySphere high-resolution (60cm) satellite imagery ortho mosaics.
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Title: Beijing, China : Street Centerlines, 2006
Contributors:- Line data
- 2007
Summary: Beijing, China street centerline vectors with road type attributes extracted from DigitalGlobe QuickBird CitySphere high-resolution (60cm) satellite imagery ortho mosaics.
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Title: Hong Kong, China : Street Centerlines, 2004
Contributors:- Line data
- 2007
Summary: Hong Kong, China street centerline vectors with road type attributes extracted from DigitalGlobe QuickBird CitySphere high-resolution (60cm) satellite imagery ortho mosaics.
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Title: Barcelona, Spain : Street Centerlines, 2005
Contributors:- Line data
- 2007
Summary: Barcelona, Spain street centerline vectors with road type attributes extracted from DigitalGlobe QuickBird CitySphere high-resolution (60cm) satellite imagery ortho mosaics.
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Title: Nairobi, Kenya : Street Centerlines, 2006
Contributors:- Line data
- 2007
Summary: Nairobi, Kenya street centerline vectors with road type attributes extracted from DigitalGlobe QuickBird CitySphere high-resolution (60cm) satellite imagery ortho mosaics.
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Title: Berlin, Germany : Street Centerlines, 2006
Contributors:- Line data
- 2006
Summary: Berlin, Germany street centerline vectors with road type attributes extracted from DigitalGlobe QuickBird CitySphere high-resolution (60cm) satellite imagery ortho mosaics.
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Title: Grave Reform in Modern China
Contributors:- Not specified
- 2018
- Mullaney, Tom
- Henriot, Christian
- Snyder-Reinke, Jeffrey, 1969-
- Stanford University. Center for Interdisciplinary Digital Research
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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Title: United States Maximum Wind Speed, 2012
Contributors:- Point data
- 2012
- National Climatic Data Center (U.S.)
- United States. National Environmental Satellite, Data, and Information Service
- United States. National Oceanic and Atmospheric Administration.
- Digital Social Science Centaer, Columbia University Libraries
Summary: United States Maximum Wind Speed is a point theme representing the maximum wind speed and direction as measured at weather stations throughout the United States, Puerto Rico, and Pacific Islands. Attribute information inclues record speeds and direction for each month.
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Title: United States Mean Number of Days With a Minimum Temperature of 32 Deg. F or Less, 2012
Contributors:- Point data
- 2012
- National Climatic Data Center (U.S.)
- United States. National Environmental Satellite, Data, and Information Service
- United States. National Oceanic and Atmospheric Administration.
- Digital Social Science Centaer, Columbia University Libraries
Summary: United States Mean Number of Days With a Minimum Temperature of 32 Deg. F or Less is a point theme representing the mean number of days with a minimum temperature of 32 degrees F or less as measured at weather stations throughout the United States, Puerto Rico, and Pacific Islands. Records are given for each month.
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Title: United States Cloudiness, Mean Number of Days (Clear, Partly Cloudy, Cloudy), 2012
Contributors:- Point data
- 2012
- National Climatic Data Center (U.S.)
- United States. National Environmental Satellite, Data, and Information Service
- United States. National Oceanic and Atmospheric Administration.
- Digital Social Science Centaer, Columbia University Libraries
Summary: United States Cloudiness, Mean Number of Days (Clear, Partly Cloudy, Cloudy) is a point theme representing the mean number of cloudy days as measured at weather stations throughout the United States, Puerto Rico, and Pacific Islands.
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Title: United States Average Percent of Possible Sunshine, 2012
Contributors:- Point data
- 2012
- National Climatic Data Center (U.S.)
- United States. National Environmental Satellite, Data, and Information Service
- United States. National Oceanic and Atmospheric Administration.
- Digital Social Science Centaer, Columbia University Libraries
Summary: United States Average Percent of Possible Sunshine is a point theme representing the the percent of possible sunshine as measured at weather stations throughout the United States, Puerto Rico, and Pacific Islands. Records are given for each month.
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Title: United States Mean Number of Days With a Maximum Temperature of 90 Deg. F or Higher, 2012
Contributors:- Point data
- 2012
- National Climatic Data Center (U.S.)
- United States. National Environmental Satellite, Data, and Information Service
- United States. National Oceanic and Atmospheric Administration.
- Digital Social Science Centaer, Columbia University Libraries
Summary: United States Mean Number of Days With a Maximum Temperature of 90 Deg. F or Higher is a point theme representing the the mean number of days with a maximum temperature of 90 Degrees F or higher as measured at weather stations throughout the United States, Puerto Rico, and Pacific Islands. Records are given for each month.
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Title: United States Lowest Tempurature of Record, 2012
Contributors:- Point data
- 2012
- National Climatic Data Center (U.S.)
- United States. National Environmental Satellite, Data, and Information Service
- United States. National Oceanic and Atmospheric Administration.
- Digital Social Science Centaer, Columbia University Libraries
Summary: United States Lowest Tempurature of Record is a point theme representing the lowest temperatures reorded in degrees fahrenheit as measured at weather stations throughout the United States, Puerto Rico, and Pacific Islands. Records are given for each month.
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Title: United States Afternoon Relative Humidity, 2012
Contributors:- Point data
- 2012
- National Climatic Data Center (U.S.)
- United States. National Environmental Satellite, Data, and Information Service
- United States. National Oceanic and Atmospheric Administration.
- Digital Social Science Centaer, Columbia University Libraries
Summary: United States Afternoon Relative Humidity is a point theme representing the relative humidity as measured at weather stations throughout the United States, Puerto Rico, and Pacific Islands. Values are given for each month and for both morning and afternoon.
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Title: United States Highest Tempurature of Record, 2012
Contributors:- Point data
- 2012
- National Climatic Data Center (U.S.)
- United States. National Environmental Satellite, Data, and Information Service
- United States. National Oceanic and Atmospheric Administration.
- Digital Social Science Centaer, Columbia University Libraries
Summary: United States Highest Tempurature of Record is a point theme representing the highest temperatures reorded in degrees fahrenheit as measured at weather stations throughout the United States, Puerto Rico, and Pacific Islands. Records are given for each month.