90 datasets found
  1. 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.

  2. 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

  3. 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

  4. v

    Enforcement Actions Against Global Banks Database

    • legaldatalab.law.virginia.edu
    Updated Mar 6, 2020
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    Pierre-Hugues Verdier (2020). Enforcement Actions Against Global Banks Database [Dataset]. https://legaldatalab.law.virginia.edu/global-bank-prosecutions/index.php
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    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

  5. v

    Provincial Capitals: Brasil, 1872

    • gis.lib.virginia.edu
    Updated May 17, 2016
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    Instituto Brasileiro de Geografia e Estatística (2016). Provincial Capitals: Brasil, 1872 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-xj536kj0256
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    Dataset updated
    May 17, 2016
    Dataset authored and provided by
    Instituto Brasileiro de Geografia e Estatística
    Time period covered
    1872
    Area covered
    Brazil
    Description

    This point shapefile represents the provincial capitals of 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

  6. v

    ZIP Code Boundaries, United States (Q4 2010)

    • gis.lib.virginia.edu
    Updated Jul 22, 2016
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    TTG, Inc. (2016). ZIP Code Boundaries, United States (Q4 2010) [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-vj444gn1858
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    Dataset updated
    Jul 22, 2016
    Dataset authored and provided by
    TTG, Inc.
    Time period covered
    2010
    Area covered
    United States
    Description

    This polygon shapefile contains zip code boundaries for the United States. Data are valid from October to December, 2010. Attributes included in the data are location, area/perimeter, county names, FIPS and USPS codes, and alternate names. These data are updated quarterly using the latest feeds from the U.S. Postal Service with additional sources being used to cross-check the data.This layer provides zip code data for view and analysis in GIS and interactive web mapping applications.

  7. v

    Precipitation: Sonoma County, California

    • gis.lib.virginia.edu
    Updated Feb 22, 2016
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    Circuit Rider Productions (2016). Precipitation: Sonoma County, California [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-wf259kp2633
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    Dataset updated
    Feb 22, 2016
    Dataset authored and provided by
    Circuit Rider Productions
    Time period covered
    2002
    Area covered
    Sonoma County, California
    Description

    This polygon shapefile represents lines of precipitation in Sonoma County, California. These data represent a reprojected version of a precipitation layer developed by the North Coast Regional Water Quality Control Board.This layer can be used for watershed analysis and planning in the Russian River region of California.

  8. 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.

  9. 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

  10. v

    Austria Major Roads, 2006

    • gis.lib.virginia.edu
    Updated May 17, 2016
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    GfK MACON (2016). Austria Major Roads, 2006 [Dataset]. http://gis.lib.virginia.edu/catalog/princeton-kh04dr164
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    Dataset updated
    May 17, 2016
    Dataset provided by
    Gfk MACON Company
    Authors
    GfK MACON
    Time period covered
    2006
    Area covered
    Austria
    Description

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

  11. 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

  12. 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

  13. 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.

  14. 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.

  15. 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.

  16. v

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

    • gis.lib.virginia.edu
    • searchworks.stanford.edu
    Updated Feb 27, 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). County/District Locations with 2000 Population Census Data: Anhui Sheng Province, China, 2000 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-tw840ph7948
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    Dataset updated
    Feb 27, 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
    Anhui, China
    Description

    This point shapefile represents the district locations, with 2000 population census data, for the Anhui 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.

  17. v

    Department Boundary: Haute-Corse, France, 2010

    • gis.lib.virginia.edu
    • searchworks.stanford.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

  18. v

    Map of the Solomon Islands

    • gis.lib.virginia.edu
    Updated Oct 20, 2016
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    (2016). Map of the Solomon Islands [Dataset]. http://gis.lib.virginia.edu/catalog/princeton-k643b3716
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    Dataset updated
    Oct 20, 2016
    Area covered
    Solomon Islands
    Description

    Map of the Solomon Islands

  19. v

    World Latitude and Longitude Grids, 2010

    • gis.lib.virginia.edu
    • searchworks.stanford.edu
    Updated May 15, 2018
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    Environmental Systems Research Institute (Redlands, Calif.) (2018). World Latitude and Longitude Grids, 2010 [Dataset]. https://gis.lib.virginia.edu/catalog/stanford-mm141zm9216
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    Dataset updated
    May 15, 2018
    Dataset authored and provided by
    Environmental Systems Research Institute (Redlands, Calif.)
    Time period covered
    2010
    Area covered
    Earth (Planet), World
    Description

    This line shapefile represents a 1- by 1-degree latitude-longitude grid covering the world with attributes that allow it to display grids at intervals of 1, 5, 10, 15, 20, and 30 degrees. To display a grid with a 1-degree interval, simply display all of the lines. To display a coarser grid (e.g., a 15-degree interval), in the Layer Properties dialog box, add the DEGREE15 attribute value equal to Y. This layer is part of the 2014 ESRI Data and Maps collection for ArcGIS 10.2.World Latitude and Longitude Grids provides latitude and longitude lines for use as an overlay for world-level maps.

  20. v

    Arrondissement Boundaries: French Guiana, 2010

    • gis.lib.virginia.edu
    • searchworks.stanford.edu
    Updated Sep 11, 2016
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    Articque informatique (2016). Arrondissement Boundaries: French Guiana, 2010 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-ny388tt6337
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    Dataset updated
    Sep 11, 2016
    Dataset authored and provided by
    Articque informatique
    Time period covered
    2010
    Area covered
    French Guiana
    Description

    This polygon shapefile represents the Arrondissement Boundaries for the region of France for 2010. These are the level 3 administrative divisions (ADM3). 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.

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Close
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Environmental Systems Research Institute (Redlands, Calif.) (2018). World Rivers, 1972-2001 [Dataset]. http://gis.lib.virginia.edu/catalog/stanford-vg833yw1149

World Rivers, 1972-2001

Explore at:
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.

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