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1,077 results returned

  1. Title: Zurich, Switzerland, 1845 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map (aerial view) entitled: Malerischer plan der Stadt Zurich und ihrer Umgebungen, herausgegeben von H.F. Lenthold in Zurich ; dessine par F. Schmid ; grave par Appert de Paris. It was published by Verlag von Arnold Bopp & Co. in 1922. Scale [ca. 1:4,800]. Covers Zurich, Switzerland, 1845. Map in German and French. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Swiss Grid (CH1903 LV03) coordinate system. 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 and stations, drainage, built-up areas and selected buildings, fortification, ground cover, and more. Includes index. 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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  2. Title: Venice, Italy, 1876 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Nuova pianta di Venezia = Neuer plan von Venedig, lit. Corradini. It was published by H. F. Munster in 1876. Scale [ca. 1:8,900]. In Italian and German. The image inside the map neatline is georeferenced to the surface of the earth and fit to the European Datum 1950 UTM Zone 33N coordinate system. 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 and stations, canals, drainage, built-up areas and selected buildings, parks, and more. Relief is shown by hachures. Includes indexes, notes, and inset: Lagune Venete = Venedigs Lagunen von dem Dammen des Sile bis zur Mundung der Etsch. 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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  3. Title: Venice, Italy, 1850 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Nuova pianta di Venezia = Neuer Plan von Venedig, lit. Corradini. It was published by H.F. Munster in [1850]. Scale [ca. 1:8,900]. Map in Italian and German. The image inside the map neatline is georeferenced to the surface of the earth and fit to the European Datum 1950 UTM Zone 33N coordinate system. 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 and stations, canals, drainage, built-up areas and selected buildings, parks, and more. Relief is shown by hachures. Includes indexes, notes, and inset: Lagune Venete = Venedigs Lagunen von dem Dammen des Sile bis zur Mundung der Etsch. 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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  4. Title: Berlin, Germany, 1841 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Plan von Berlin, Zeichnung u. Stich v. H. Mahlmann. It was published by F.H. Morin in 1841. Scale 1:81,300. This image includes the original map pamphlet cover with German coat-of-arms The image inside the map neatline is georeferenced to the surface of the earth and fit to the Deutsches Hauptdreiecksnetz (DHDN) 3-degree Gauss-Kruger Zone 4 coordinate system. 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, drainage, selected buildings, parks, and more. Relief shown by hachures. 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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  5. Title: World Shoreline Boundary between Lake and Land, 2014 (Low-resolution)

    Contributors:

    Summary: This polygon shapefile represents the boundary between lakes and land at low resolution. Low represents an 80 percent reduction in size and quality from the intermediate resolution layer. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). World Shoreline Boundary between Lake and Land, 2014 (Low-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/gk979fy6658. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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  6. Title: World Shoreline Boundary between Island Ponds and Islands, 2014 (Intermediate-resolution)

    Contributors:

    Summary: This polygon shapefile represents the boundary between island ponds and islands at intermediate resolution. Intermediate represents an 80 percent reduction in size and quality from the high resolution layer. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). World Shoreline Boundary between Island Ponds and Islands, 2014 (Intermediate-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/pq713kh7725. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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  7. Title: Shoreline Boundary between Antarctic Grounding Line and the Ocean, 2014 (Intermediate-resolution)

    Contributors:

    Summary: This polygon shapefile represents the shoreline boundary between the Antarctic grounding line and the Antarctic Ocean at intermediate resolution. Intermediate represents an 80 percent reduction in size and quality from the high resolution layer. Grounding lines are the point at which tidewater glaciers start to float in the ocean. The location of the grounding line is important, becasue mass loss from Antarctica is strongly linked to changes in ice shelves and their grounding lines. Changes in grounding lines can result in very rapid changes in glacier and ice shelf behavior. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). Shoreline Boundary between Antarctic Grounding Line and the Ocean, 2014 (Intermediate-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/bm420mn3992. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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  8. Title: World Shoreline Boundary between Island Ponds and Islands, 2014 (High-resolution)

    Contributors:

    Summary: This polygon shapefile represents the boundary between island ponds and islands at high resolution. High represents an 80 percent reduction in size and quality from the full resolution layer. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). World Shoreline Boundary between Island Ponds and Islands, 2014 (High-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/wv983tm1584. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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  9. Title: World Shoreline Boundary between Island Ponds and Islands, 2014 (Full-resolution)

    Contributors:

    Summary: This polygon shapefile represents the boundary between island ponds and islands at low resolution. GSHHG data are made available at 5 resolutions, with full being the original and highest possible resolution. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). World Shoreline Boundary between Island Ponds and Islands, 2014 (Full-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/bg023wx0903. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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  10. Title: Shoreline Boundary between Antarctic Ice and the Ocean, 2014 (Low-resolution)

    Contributors:

    Summary: This polygon shapefile represents the shoreline boundary between the Antarctic ice and the Antarctic Ocean at low resolution. Low represents an 80 percent reduction in size and quality from the intermediate resolution layer. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). Shoreline Boundary between Antarctic Ice and the Ocean, 2014 (Low-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/tp343qs9260. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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  11. Title: Shoreline Boundary between Antarctic Ice and the Ocean, 2014 (High-resolution)

    Contributors:

    Summary: This polygon shapefile represents the shoreline boundary between the Antarctic ice and the Antarctic Ocean at high resolution. High represents an 80 percent reduction in size and quality from the full resolution layer. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). Shoreline Boundary between Antarctic Ice and the Ocean, 2014 (High-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/mg062vx0809. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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  12. Title: Shoreline Boundary between Antarctic Grounding Line and the Ocean, 2014 (Crude-resolution)

    Contributors:

    Summary: This polygon shapefile represents the shoreline boundary between the Antarctic grounding line and the Antarctic Ocean at crude resolution. Crude represents an 80 percent reduction in size and quality from the low resolution layer. Grounding lines are the point at which tidewater glaciers start to float in the ocean. The location of the grounding line is important, becasue mass loss from Antarctica is strongly linked to changes in ice shelves and their grounding lines. Changes in grounding lines can result in very rapid changes in glacier and ice shelf behavior. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). Shoreline Boundary between Antarctic Grounding Line and the Ocean, 2014 (Crude-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/ng107gz6909. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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  13. Title: World Shoreline Boundary between Lake Islands and Lakes, 2014 (High-resolution)

    Contributors:

    Summary: This polygon shapefile represents the boundary between lake islands and lakes at high resolution. Lake islands, or inland islands, are landmasses inside of lakes. High represents an 80 percent reduction in size and quality from the full (original) resolution layer. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). World Shoreline Boundary between Lake Islands and Lakes, 2014 (High-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/ng167wv4209. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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  14. Title: World Shoreline Boundary between Lake Islands and Lakes, 2014 (Crude-resolution)

    Contributors:

    Summary: This polygon shapefile represents the boundary between lake islands and lakes at crude resolution. Lake islands, or inland islands, are landmasses inside of lakes. Crude represents an 80 percent reduction in size and quality from the low resolution layer. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). World Shoreline Boundary between Lake Islands and Lakes, 2014 (Crude-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/kw003rj3034. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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  15. Title: World Shoreline Boundary between Land and Ocean, 2014 (Intermediate-resolution)

    Contributors:

    Summary: This polygon shapefile represents the boundary between land and ocean, excluding Antarctica, at intermediate resolution. Intermediate represents an 80 percent reduction in size and quality from the high resolution layer. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). World Shoreline Boundary between Land and Ocean, 2014 (Intermediate-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/ds959rc3867. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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  16. Title: Shoreline Boundary between Antarctic Grounding Line and the Ocean, 2014 (Full-resolution)

    Contributors:

    Summary: This polygon shapefile represents the shoreline boundary between the Antarctic grounding line and the Antarctic Ocean at full (original) resolution. GSHHG data are made available at 5 resolutions, with full being the original and highest possible resolution. Grounding lines are the point at which tidewater glaciers start to float in the ocean. The location of the grounding line is important, becasue mass loss from Antarctica is strongly linked to changes in ice shelves and their grounding lines. Changes in grounding lines can result in very rapid changes in glacier and ice shelf behavior. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). Shoreline Boundary between Antarctic Grounding Line and the Ocean, 2014 (Full-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/zt046tb6131. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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  17. Title: Shoreline Boundary between Antarctic Ice and the Ocean, 2014 (Crude-resolution)

    Contributors:

    Summary: This polygon shapefile represents the shoreline boundary between the Antarctic ice and the Antarctic Ocean at crude resolution. Crude represents an 80 percent reduction in size and quality from the low resolution layer. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). Shoreline Boundary between Antarctic Ice and the Ocean, 2014 (Crude-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/kd005ph7109. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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  18. Title: World Shoreline Boundary between Lake Islands and Lakes, 2014 (Full-resolution)

    Contributors:

    Summary: This polygon shapefile represents the boundary between lake islands and lakes at full resolution. Lake islands, or inland islands, are landmasses inside of lakes. GSHHG data are made available at 5 resolutions, with full being the original and highest possible resolution. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). World Shoreline Boundary between Lake Islands and Lakes, 2014 (Full-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/yn957st9902. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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  19. Title: Shoreline Boundary between Antarctic Ice and the Ocean, 2014 (Full-resolution)

    Contributors:

    Summary: This polygon shapefile represents the shoreline boundary between the Antarctic ice and the Antarctic Ocean at full resolution. GSHHG data are made available at 5 resolutions, with full being the original and highest possible resolution. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). Shoreline Boundary between Antarctic Ice and the Ocean, 2014 (Full-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/yj941vz6931. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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  20. Title: World Shoreline Boundary between Land and Ocean, 2014 (High-resolution)

    Contributors:

    Summary: This polygon shapefile represents the boundary between land and ocean, excluding Antarctica, at high resolution. High-resolution represents an 80 percent reduction in size and quality from the full (original) resolution layer. The Global Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database is a high-resolution geography data set amalgamated from three data bases in the public domain. This layer is part of GSHHG Version 2.3.3. The World Vector Shorelines (WVS) is the basis for shorelines except for Antarctica while the CIA World Data Bank (WDBII) is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides all political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. Atlas of the Cryosphere (AC) provides the basis for Antarctica coastlines. The shorelines are constructed entirely from hierarchically arranged closed polygons. These shoreline polygon data can be used to simplify data searches and data selections and to study the statistical characteristics of shorelines and land-masses. Wessel, P., and W. H. F. Smith (2014). World Shoreline Boundary between Land and Ocean, 2014 (High-resolution). (v. 2.3.3). United States. National Geospatial-Intelligence Agency. Available at http://purl.stanford.edu/ky855gy0473. GSHHG used to be called GSHHS (Global Self-consistent, Hierarchical, High-resolution Shorelines) but since rivers and political boundaries were also included we changed it to GSHHG starting with version 2.2.1. The addition of AC since 2.3.0 allows two choices for Antarctica coastlines: Ice-front or Grounding line. These are encoded as levels 5 and 6, respectively.

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