93 datasets found
  1. v

    Albemarle 2007 Driveways

    • gis.lib.virginia.edu
    Updated Oct 30, 2017
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    (2017). Albemarle 2007 Driveways [Dataset]. https://gis.lib.virginia.edu/catalog/uva-Albemarle:Driveways
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    Dataset updated
    Oct 30, 2017
    Time period covered
    2000 - 2007
    Description

    Driveways for Albemarle County, Virginia.

  2. v

    World Rivers, 1972-2001

    • gis.lib.virginia.edu
    • searchworks.stanford.edu
    Updated Jul 18, 2018
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    Environmental Systems Research Institute (Redlands, Calif.) (2018). World Rivers, 1972-2001 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-vg833yw1149
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    Dataset updated
    Jul 18, 2018
    Dataset authored and provided by
    Environmental Systems Research Institute (Redlands, Calif.)
    Time period covered
    1972
    Area covered
    Earth (Planet), World
    Description

    This line shapefile represents the major rivers within the world at 1:15,000,000 scale. This layer is part of the 2014 ESRI Data and Maps collection for ArcGIS 10.2.World Rivers provides a base map layer of major rivers of the world.

  3. v

    Department Boundary: Mayotte, 2010

    • gis.lib.virginia.edu
    • searchworks.stanford.edu
    Updated May 23, 2016
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    Articque informatique (2016). Department Boundary: Mayotte, 2010 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-ht398kp2910
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    Dataset updated
    May 23, 2016
    Dataset authored and provided by
    Articque informatique
    Time period covered
    2010
    Area covered
    Mayotte
    Description

    This polygon shapefile represents the department boundary of Mayotte for 2010. These are the level 2 administrative divisions (ADM2) of Mayotte. Department is one of the three levels of government below the national level ("territorial collectivities"), between the region and the commune. There are 96 departments in metropolitan France and 5 overseas departments, which also are classified as regions. Departments are further subdivided into 342 arrondissements, themselves divided into cantons; the latter two have no autonomy and are used for the organisation of public services and sometimes elections.This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.Read More

  4. v

    U.S. ZIP Code Areas 2000

    • gis.lib.virginia.edu
    Updated Jun 11, 2017
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    Geographic Data Technology, Inc. (GDT) (2017). U.S. ZIP Code Areas 2000 [Dataset]. http://gis.lib.virginia.edu/catalog/princeton-1r66j2559
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    Dataset updated
    Jun 11, 2017
    Dataset provided by
    Environmental Systems Research Institute, Inc. (ESRI)
    Authors
    Geographic Data Technology, Inc. (GDT)
    Time period covered
    1990
    Area covered
    United States
    Description

    U.S. ZIP Code Areas represents five-digit ZIP Code areas used by the U.S. Postal Service to deliver mail more effectively. The first digit of a five-digit ZIP Code divides the country into 10 large groups of states numbered from 0 in the Northeast to 9 in the far West. Within these areas, each state is divided into an average of 10 smaller geographical areas, identified by the 2nd and 3rd digits. These digits, in conjunction with the first digit, represent a sectional center facility or a mail processing facility area. The 4th and 5th digits identify a post office, station, branch or local delivery area.Read More

  5. v

    State Capitals: Brasil, 1900

    • gis.lib.virginia.edu
    Updated May 17, 2016
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    Instituto Brasileiro de Geografia e Estatística (2016). State Capitals: Brasil, 1900 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-jc479kd4928
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    Dataset updated
    May 17, 2016
    Dataset authored and provided by
    Instituto Brasileiro de Geografia e Estatística
    Time period covered
    1900
    Area covered
    Brazil
    Description

    This point shapefile contains the locations of state capitals in Brazil in 1900. These data were created using a custom World Polyconic Projection. This layer is part of the Evolução da divisão territorial do Brasil 1872 - 2010 dataset, a collection of data representing the evolution of Brazilian states, municipalities and cities.This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.Read More

  6. v

    Department Boundary: Yvelines, France, 2010

    • gis.lib.virginia.edu
    • searchworks.stanford.edu
    Updated Jul 22, 2018
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    Articque informatique (2018). Department Boundary: Yvelines, France, 2010 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-zt575ns5109
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    Dataset updated
    Jul 22, 2018
    Dataset authored and provided by
    Articque informatique
    Time period covered
    2010
    Area covered
    Yvelines, France
    Description

    This polygon shapefile represents the Department Boundary for the Yvelines department of France for 2010. These are the level 2 administrative divisions (ADM2) of Yvelines. Department is one of the three levels of government below the national level ("territorial collectivities"), between the region and the commune. There are 96 departments in metropolitan France and 5 overseas departments, which also are classified as regions. Departments are further subdivided into 342 arrondissements, themselves divided into cantons; the latter two have no autonomy and are used for the organisation of public services and sometimes elections.This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.Read More

  7. v

    U.S. Geographic Names Information System Populated Places 2008

    • gis.lib.virginia.edu
    Updated Sep 26, 2016
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    United States Geological Survey (2016). U.S. Geographic Names Information System Populated Places 2008 [Dataset]. http://gis.lib.virginia.edu/catalog/princeton-4f16c4421
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    Dataset updated
    Sep 26, 2016
    Dataset provided by
    ESRI
    Authors
    United States Geological Survey
    Area covered
    United States
    Description

    U.S. Geographic Names Information System Populated Places represents an automated inventory of the proper names and locations of physical and cultural geographic features located throughout the United States and its Territories.

  8. v

    Enforcement Actions Against Global Banks Database: International

    • legaldatalab.law.virginia.edu
    csv, json
    Updated Mar 6, 2020
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    Pierre-Hugues Verdier (2020). Enforcement Actions Against Global Banks Database: International [Dataset]. https://legaldatalab.law.virginia.edu/global-bank-prosecutions/browse_non_us.php
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    json, csvAvailable download formats
    Dataset updated
    Mar 6, 2020
    Dataset provided by
    University of Virginia School of Law
    Authors
    Pierre-Hugues Verdier
    Time period covered
    2008 - 2016
    Description

    Criminal enforcement actions brought by the U.S. Department of Justice against global banks and related actions by U.S. regulatory agencies and foreign governments during the period 2008-2016

  9. v

    Luxembourg Cities With Population 5 Thousand and More, 2005

    • gis.lib.virginia.edu
    Updated Mar 20, 2016
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    GfK MACON (2016). Luxembourg Cities With Population 5 Thousand and More, 2005 [Dataset]. http://gis.lib.virginia.edu/catalog/princeton-41687k16d
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    Dataset updated
    Mar 20, 2016
    Dataset provided by
    Gfk MACON Company
    Authors
    GfK MACON
    Time period covered
    2006
    Area covered
    Luxembourg
    Description

    This data includes Luxembourg cities with population 5 thousand and more created by GfK MACON company, Germany.

  10. v

    County/District Locations with 2000 Population Census Data: Guangdong Sheng...

    • gis.lib.virginia.edu
    • searchworks.stanford.edu
    Updated Dec 21, 2019
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    Beijing Hua tong ren shi chang xin xi you xian ze ren gong si; University of Michigan. China Data Center (2019). County/District Locations with 2000 Population Census Data: Guangdong Sheng Province, China, 2000 [Dataset]. https://gis.lib.virginia.edu/catalog/stanford-bc436zn6635
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    Dataset updated
    Dec 21, 2019
    Dataset provided by
    Beijing Hua tong ren shi chang xin xi you xian ze ren gong si
    Authors
    Beijing Hua tong ren shi chang xin xi you xian ze ren gong si; University of Michigan. China Data Center
    Time period covered
    2000
    Area covered
    Guangdong Province, China
    Description

    This point shapefile represents the district locations, with 2000 population census data, for the Guangdong Sheng province of China for 2000. These data are represented at 1:1,000,000 scale. This layer is part of the China 2000 township population census dataset.The 2000 China township maps are developed for matching 2000 China population Census data, which should only be used as references for research or education instead of used as official maps.

  11. v

    Provincial Boundaries: Brasil, 1872

    • gis.lib.virginia.edu
    Updated Jun 19, 2016
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    Instituto Brasileiro de Geografia e Estatística (2016). Provincial Boundaries: Brasil, 1872 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-tj392fk5522
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    Dataset updated
    Jun 19, 2016
    Dataset authored and provided by
    Instituto Brasileiro de Geografia e Estatística
    Time period covered
    1872
    Area covered
    Brazil
    Description

    This polygon shapefile represents the provincial boundaries Brazil in 1872. These data were created using a custom World Polyconic Projection. This layer is part of the Evolução da divisão territorial do Brasil 1872 - 2010 dataset, a collection of data representing the evolution of Brazilian states, municipalities and cities.This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.Read More

  12. v

    Points of Interest: Mexico City, Mexico, 2010

    • gis.lib.virginia.edu
    Updated Apr 14, 2016
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    LeadDog Consulting (Firm) (2016). Points of Interest: Mexico City, Mexico, 2010 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-wz048qc5677
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    Dataset updated
    Apr 14, 2016
    Dataset authored and provided by
    LeadDog Consulting (Firm)
    Time period covered
    2010
    Area covered
    Mexico City, Mexico
    Description

    This point shapefile represents points of interest in Mexico City (Mexico) that can include locations of police and fire stations, hospitals, educational institutions, libraries, historical sites, sports facilities, churches, and shopping.LeadDog Consulting (Originator and Publisher) has a Mexico-based data partner network for which they have access to GIS data sets to create city streets maps for Mexico, which may include streets, street names, street classifications, points of interests, landuse, water, neighborhood points, and railroads. These data are intended for geographic display and analysis at the city level. No responsibility is assumed by LeadDog Consulting. Read More

  13. v

    New Milford, Bergen County, New Jersey (Sheet 6)

    • gis.lib.virginia.edu
    Updated Mar 19, 2016
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    New York : Sanborn Map Company (2016). New Milford, Bergen County, New Jersey (Sheet 6) [Dataset]. http://identifiers.org/ark:/88435/wp988m57z
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    Dataset updated
    Mar 19, 2016
    Dataset provided by
    Sanborn Map Company
    Authors
    New York : Sanborn Map Company
    Area covered
    New Milford, New Jersey, Bergen County, United States
    Description

    This is a Sanborn map of New Milford, Bergen County shown at a scale of 1:600.

  14. v

    Air Monitoring Stations: California, 2002-2004

    • gis.lib.virginia.edu
    Updated Oct 31, 2017
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    California. Air Resources Board. Planning and Technical Support Division.; Stephen P. Teale Data Center (Calif.). (2017). Air Monitoring Stations: California, 2002-2004 [Dataset]. https://gis.lib.virginia.edu/catalog/stanford-bs277kf6370
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    Dataset updated
    Oct 31, 2017
    Dataset provided by
    California. Air Resources Board
    Authors
    California. Air Resources Board. Planning and Technical Support Division.; Stephen P. Teale Data Center (Calif.).
    Time period covered
    2002
    Area covered
    California
    Description

    This point shapefile represents all air monitoring stations active in California from 2001 until 2003. The data within the shapefile was obtained from the Air Resources Board's Ambient Air Quality Data Summaries (ADAM) database.Developed for the California Air Resources Board (ARB) GIS data library.

  15. v

    Primary Schools: Zambia, 2005

    • gis.lib.virginia.edu
    Updated Oct 19, 2018
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    Provincial Centre for Geographic Information Services (Zambia) (2018). Primary Schools: Zambia, 2005 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-tp986cy1534
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    Dataset updated
    Oct 19, 2018
    Dataset authored and provided by
    Provincial Centre for Geographic Information Services (Zambia)
    Time period covered
    2005
    Area covered
    Zambia
    Description

    This point shapefile shows the locations of primary schools in Zambia for 2005. Original data were acquired from the Education Automated Statistical Information Systems Toolkit (ED*ASSIST) and the Zambian Ministry of Education. This layer is part of a collection of GIS data relating to Zambia including boundary files, rivers, roads, schools, utilities, protected areas and vegetation.This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.Read More

  16. v

    Austria Major Highways, 2006

    • gis.lib.virginia.edu
    Updated Nov 9, 2018
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    GfK MACON (2018). Austria Major Highways, 2006 [Dataset]. https://gis.lib.virginia.edu/catalog/princeton-r781wh56s
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    Dataset updated
    Nov 9, 2018
    Dataset provided by
    Gfk MACON Company
    Authors
    GfK MACON
    Time period covered
    2006
    Area covered
    Austria
    Description

    This data includes Austria major highways created by GfK MACON company, Germany.

  17. v

    Arrondissement Boundaries: Bouches-du-Rhône, France, 2010

    • gis.lib.virginia.edu
    • searchworks.stanford.edu
    Updated Feb 23, 2016
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    Articque informatique (2016). Arrondissement Boundaries: Bouches-du-Rhône, France, 2010 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-hd114qw7372
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    Dataset updated
    Feb 23, 2016
    Dataset authored and provided by
    Articque informatique
    Time period covered
    2010
    Area covered
    Bouches-du-Rhone, France
    Description

    This polygon shapefile represents the Arrondissement Boundaries for the Bouches-du-Rhône department of France for 2010. These are the level 3 administrative divisions (ADM3) of Bouches-du-Rhône. The 101 French departments are divided into 342 arrondissements, which may be translated into English as districts.This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.Read More

  18. v

    Department Boundary: Haute-Corse, France, 2010

    • gis.lib.virginia.edu
    Updated Nov 4, 2016
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    Articque informatique (2016). Department Boundary: Haute-Corse, France, 2010 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-cs183jm4562
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    Dataset updated
    Nov 4, 2016
    Dataset authored and provided by
    Articque informatique
    Time period covered
    2010
    Area covered
    Corsica, Haute-Corse, France
    Description

    This polygon shapefile represents the Department Boundary for the Haute-Corse department of France for 2010. These are the level 2 administrative divisions (ADM2) of Haute-Corse. Department is one of the three levels of government below the national level ("territorial collectivities"), between the region and the commune. There are 96 departments in metropolitan France and 5 overseas departments, which also are classified as regions. Departments are further subdivided into 342 arrondissements, themselves divided into cantons; the latter two have no autonomy and are used for the organisation of public services and sometimes elections.This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.Read More

  19. Cities, Europe, Year 100

    • gis.lib.virginia.edu
    Updated Jun 12, 2021
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    Euratlas-Nüssli; Nüssli, Christos; Nüssli, Marc-Antoine (2021). Cities, Europe, Year 100 [Dataset]. https://gis.lib.virginia.edu/catalog/stanford-bm328ff0238
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    Dataset updated
    Jun 12, 2021
    Dataset provided by
    Euratlas
    Authors
    Euratlas-Nüssli; Nüssli, Christos; Nüssli, Marc-Antoine
    Time period covered
    0100
    Area covered
    Europe
    Description

    This shapefile represents cities of Europe for the year 100. Cities represents all inhabited places. The cities are ranked in 5 categories according to their importance. Big towns get number 5 and small villages number 1. This layer is part of the Euratlas Georeferenced Vector Data collection that is composed of 21 maps, one for each century from year 1 to year 2000. These maps depict the detailed political situation of Europe at the first day of each centennial year C.E. from year 1 to 2000. Each map is composed of two kinds of layers: physical features layers, such as seas and rivers, and political features layers, such as states and cities. Some layers also cover adjacent portions of North Africa and the Middle East.This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.Read More

  20. v

    Township Locations with 2000 Population Census Data (9.95% Long Form data,...

    • gis.lib.virginia.edu
    • searchworks.stanford.edu
    Updated Mar 24, 2016
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    Beijing Hua tong ren shi chang xin xi you xian ze ren gong si; University of Michigan. China Data Center (2016). Township Locations with 2000 Population Census Data (9.95% Long Form data, table L1-L6): Jilin Sheng Province, China, 2000 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-dd957qz9068
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    Dataset updated
    Mar 24, 2016
    Dataset provided by
    Beijing Hua tong ren shi chang xin xi you xian ze ren gong si
    Authors
    Beijing Hua tong ren shi chang xin xi you xian ze ren gong si; University of Michigan. China Data Center
    Time period covered
    2000
    Area covered
    Jilin, China
    Description

    This point shapefile represents the locations of townships with 2000 Population Census Data, 9.95% Long Form data, table L1-L6) for the Jilin Sheng province of China for 2000. These data are represented at 1:1,000,000 scale. This layer is part of the China 2000 township population census dataset.The 2000 China township maps are developed for matching 2000 China population Census data, which should only be used as references for research or education instead of used as official maps.

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(2017). Albemarle 2007 Driveways [Dataset]. https://gis.lib.virginia.edu/catalog/uva-Albemarle:Driveways

Albemarle 2007 Driveways

Explore at:
Dataset updated
Oct 30, 2017
Time period covered
2000 - 2007
Description

Driveways for Albemarle County, Virginia.

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