100+ datasets found
  1. d

    Data from: Grammar transformations of topographic feature type annotations...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Oct 29, 2025
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    U.S. Geological Survey (2025). Grammar transformations of topographic feature type annotations of the U.S. to structured graph data. [Dataset]. https://catalog.data.gov/dataset/grammar-transformations-of-topographic-feature-type-annotations-of-the-u-s-to-structured-g
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    Dataset updated
    Oct 29, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    United States
    Description

    These data were used to examine grammatical structures and patterns within a set of geospatial glossary definitions. Objectives of our study were to analyze the semantic structure of input definitions, use this information to build triple structures of RDF graph data, upload our lexicon to a knowledge graph software, and perform SPARQL queries on the data. Upon completion of this study, SPARQL queries were proven to effectively convey graph triples which displayed semantic significance. These data represent and characterize the lexicon of our input text which are used to form graph triples. These data were collected in 2024 by passing text through multiple Python programs utilizing spaCy (a natural language processing library) and its pre-trained English transformer pipeline. Before data was processed by the Python programs, input definitions were first rewritten as natural language and formatted as tabular data. Passages were then tokenized and characterized by their part-of-speech, tag, dependency relation, dependency head, and lemma. Each word within the lexicon was tokenized. A stop-words list was utilized only to remove punctuation and symbols from the text, excluding hyphenated words (ex. bowl-shaped) which remained as such. The tokens’ lemmas were then aggregated and totaled to find their recurrences within the lexicon. This procedure was repeated for tokenizing noun chunks using the same glossary definitions.

  2. U

    Data from: Digital Raster Graphic (DRG) image of U.S. Geological Survey...

    • data.usgs.gov
    • datasets.ai
    • +1more
    Updated Sep 1, 2021
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    U.S. Geological Survey (2021). Digital Raster Graphic (DRG) image of U.S. Geological Survey standard series topographic map of Rincon, Puerto Rico (rincon_drg.tif) [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:8a8dbbf8-8fbc-44ed-8f03-098e5fbaf067
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    Dataset updated
    Sep 1, 2021
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Jul 1, 1966
    Area covered
    Puerto Rico, Rincón, United States
    Description

    The Digital Raster Graphic (DRG) is a raster image of a scanned USGS topographic map including the collar information, georeferenced to the UTM grid. This version of the Digital Raster Graphic (DRG) has been clipped to remove the collar (white border of the map) and has been reprojected to geographic coordinates.

  3. d

    Digital raster graphic files of 30x60-minute topographic maps in Nevada;...

    • datadiscoverystudio.org
    • data.wu.ac.at
    tif
    Updated Sep 5, 1995
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    Gary Johnson; USGS (1995). Digital raster graphic files of 30x60-minute topographic maps in Nevada; Double Mountain 30x60' Quad [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/a2b38362139e42f9b5bcbbd9310ab2bd/html
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    tifAvailable download formats
    Dataset updated
    Sep 5, 1995
    Authors
    Gary Johnson; USGS
    Area covered
    Description

    The Digital Raster Graphic (DRG) is a raster image of a scanned USGS topographic map including the collar information, georeferenced to the UTM grid. A DRG is useful as a source or background layer in a GIS, as a means to perform quality assurance on other digital products, and as a source for the collection and revision of DLG data. DRG's can also be merged with other digital data, e.g. DEM's or DOQ's, to produce a hybrid digital file. To download this resource, please see the link provided.

  4. A

    West Virginia Topographic Maps: Part 1

    • data.amerigeoss.org
    • data.wu.ac.at
    html
    Updated Aug 9, 2019
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    Energy Data Exchange (2019). West Virginia Topographic Maps: Part 1 [Dataset]. https://data.amerigeoss.org/ca/dataset/west-virginia-topographic-maps-part-1
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    htmlAvailable download formats
    Dataset updated
    Aug 9, 2019
    Dataset provided by
    Energy Data Exchange
    Area covered
    West Virginia
    Description

    From the site: “A Digital Raster Graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) topographic map. An unclipped scanned image includes all marginal information, while a clipped or seamless scanned image clips off the collar information. DRGs may be used as a source or background layer in a geographic information system, as a means to perform quality assurance on other digital products, and as a source for the collection and revision of digital line graph data. The DRGs also can be merged with other digital data (e.g., digital elevation model or digital orthophotoquad data), to produce a hybrid digital file.

    The output resolution of a DRG varies from 250 to 500 dots per inch. The horizontal positional accuracy of the DRG matches the accuracy of the published source map. To be consistent with other USGS digital data, the image is cast on the UTM projection, and therefore, will not always be consistent with the credit note on the image collar. Only the area inside the map neatline is georeferenced, so minor distortion of the text may occur in the map collar. Refer to the scanned map collar or online Map List for the currentness of the DRG.”

  5. u

    Columbus 1:100000 Quad Transportation DLGs

    • gstore.unm.edu
    csv, geojson, gml +5
    Updated Feb 7, 2009
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    Earth Data Analysis Center (2009). Columbus 1:100000 Quad Transportation DLGs [Dataset]. https://gstore.unm.edu/apps/rgisarchive/datasets/81491d95-b3ef-43b0-a925-c9fa8e2a0f5d/metadata/FGDC-STD-001-1998.html
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    csv(5), json(5), shp(5), gml(5), xls(5), geojson(5), kml(5), zip(1)Available download formats
    Dataset updated
    Feb 7, 2009
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    Jun 19, 1987
    Area covered
    Luna County (35029), West Bounding Coordinate -108.000030517578 East Bounding Coordinate -107.000030517578 North Bounding Coordinate 32.0005645751953 South Bounding Coordinate 31.7834663391113
    Description

    Digital line graph (DLG) data are digital representations of cartographic information. DLG's of map features are converted to digital form from maps and related sources. Intermediate-scale DLG data are derived from USGS 1:100,000-scale 30- by 60-minute quadrangle maps. If these maps are not available, Bureau of Land Management planimetric maps at a scale of 1: 100,000 are used. Intermediate-scale DLG's are sold in five categories: (1) Public Land Survey System; (2) boundaries (3) transportation; (4) hydrography; and (5) hypsography. All DLG data distributed by the USGS are DLG - Level 3 (DLG-3), which means the data contain a full range of attribute codes, have full topological structuring, and have passed certain quality-control checks.

  6. A

    WV Topographic Maps USGS 124000 Scale

    • data.amerigeoss.org
    • data.wu.ac.at
    html
    Updated Aug 9, 2019
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    Energy Data Exchange (2019). WV Topographic Maps USGS 124000 Scale [Dataset]. https://data.amerigeoss.org/lt/dataset/87eaa601-6ea1-48c9-967d-53e1a226ddff
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    htmlAvailable download formats
    Dataset updated
    Aug 9, 2019
    Dataset provided by
    Energy Data Exchange
    Area covered
    West Virginia
    Description

    A Digital Raster Graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) topographic map. An unclipped scanned image includes all marginal information, while a clipped or seamless scanned image clips off the collar information. DRGs may be used as a source or background layer in a geographic information system, as a means to perform quality assurance on other digital products, and as a source for the collection and revision of digital line graph data. The DRGs also can be merged with other digital data (e.g., digital elevation model or digital orthophotoquad data), to produce a hybrid digital file. The output resolution of a DRG varies from 250 to 500 dots per inch. The horizontal positional accuracy of the DRG matches the accuracy of the published source map. To be consistent with other USGS digital data, the image is cast on the UTM projection, and therefore, will not always be consistent with the credit note on the image collar. Only the area inside the map neatline is georeferenced, so minor distortion of the text may occur in the map collar. Refer to the scanned map collar or online Map List for the currentness of the DRG.

  7. u

    Grants 1:100000 Quad Transportation DLGs

    • gstore.unm.edu
    csv, geojson, gml +5
    Updated Feb 7, 2009
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    Earth Data Analysis Center (2009). Grants 1:100000 Quad Transportation DLGs [Dataset]. https://gstore.unm.edu/apps/rgis/datasets/c97de02b-1b4b-4416-a890-760b6e8504c7/metadata/FGDC-STD-001-1998.html
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    geojson(25), kml(25), xls(25), gml(25), shp(25), csv(25), zip(1), json(25)Available download formats
    Dataset updated
    Feb 7, 2009
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    Jun 19, 1987
    Area covered
    McKinley County (35031), West Bounding Coordinate -108.000030517578 East Bounding Coordinate -106.999977111816 North Bounding Coordinate 35.5000915527344 South Bounding Coordinate 34.9999694824219
    Description

    Digital line graph (DLG) data are digital representations of cartographic information. DLG's of map features are converted to digital form from maps and related sources. Intermediate-scale DLG data are derived from USGS 1:100,000-scale 30- by 60-minute quadrangle maps. If these maps are not available, Bureau of Land Management planimetric maps at a scale of 1: 100,000 are used. Intermediate-scale DLG's are sold in five categories: (1) Public Land Survey System; (2) boundaries (3) transportation; (4) hydrography; and (5) hypsography. All DLG data distributed by the USGS are DLG - Level 3 (DLG-3), which means the data contain a full range of attribute codes, have full topological structuring, and have passed certain quality-control checks.

  8. a

    Digital Raster Graphic (DRG) Mosaic of Idaho at 1:24,000-scale

    • hub.arcgis.com
    • s.cnmilf.com
    • +2more
    Updated Jan 1, 2004
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    University of Idaho (2004). Digital Raster Graphic (DRG) Mosaic of Idaho at 1:24,000-scale [Dataset]. https://hub.arcgis.com/documents/7afd2a5912cb40dbaf757fa3263ebbea
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    Dataset updated
    Jan 1, 2004
    Dataset authored and provided by
    University of Idaho
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    The downloadable ZIP file contains a georeferenced MrSID (.sid) file. This data set is a mosaic of individual DRGs georeferenced to the IDTM83 grid. The original Digital Raster Graphic (DRG) is a raster image of a scanned USGS topographic map including the collar information, georeferenced to the UTM grid. DRGs are useful as a source or background layer in a GIS and as a means to perform quality assurance on other digital products.These data were contributed to INSIDE Idaho at the University of Idaho Library in 2004.

  9. n

    Large-scale digital line graph data from the U.S. Geological Survey

    • cmr.earthdata.nasa.gov
    Updated Jan 29, 2016
    + more versions
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    (2016). Large-scale digital line graph data from the U.S. Geological Survey [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1220566541-USGS_LTA.html
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    Dataset updated
    Jan 29, 2016
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Description

    Digital line graph (DLG) data are digital representations of cartographic information. DLGs of map features are converted to digital form from maps and related sources. Large-scale DLG data are derived from USGS 1:20,000-, 1: 24,000-, and 1: 25,000-scale 7.5-minute topographic quadrangle maps and are available in nine categories: (1) hypsography, (2) hydrography, (3)vegetative surface cover, (4) non-vegetative features, (5) boundaries, (6)survey control and markers, (7) transportation, (8) manmade features, and (9)Public Land Survey System. All DLG data distributed by the USGS are DLG - Level 3 (DLG-3), which means the data contain a full range of attribute codes, have full topological structuring, and have passed certain quality-control checks.

  10. a

    Digital Raster Graphic Tiles - 100k

    • hub.arcgis.com
    Updated Jun 26, 2020
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    AZGeo ArcGIS Online (AGO) (2020). Digital Raster Graphic Tiles - 100k [Dataset]. https://hub.arcgis.com/maps/177578f22fec4236ae675393174a929b
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    Dataset updated
    Jun 26, 2020
    Dataset authored and provided by
    AZGeo ArcGIS Online (AGO)
    Description

    A digital raster graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) topographic map. The scanned image includes all map collar information. The image inside the map neatline is georeferenced to the surface of the Earth. The DRG can be used to collect, review, and revise other digital data, especially digital line graphs (DLG). When the DRG is combined with other digital products, such as digital orthophoto quadrangles (DOQ) or digital elevation models (DEM), the resulting image provides additional visual information for the extraction and revision of base cartographic information. The USGS is producing DRG's of the 1:24,000, 1:24,000/1:25,000, 1:63,360 (Alaska), 1:100,000, and 1:250,000-scale topographic map series. This data set contains 1:100,000 quad maps for Arizona.

  11. d

    Digital Raster Graphic (DRG) Mosaic of Idaho at 1:100,000-scale

    • datasets.ai
    • s.cnmilf.com
    • +3more
    21, 23
    Updated Nov 29, 2020
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    University of Idaho (2020). Digital Raster Graphic (DRG) Mosaic of Idaho at 1:100,000-scale [Dataset]. https://datasets.ai/datasets/digital-raster-graphic-drg-mosaic-of-idaho-at-1-100000-scale
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    23, 21Available download formats
    Dataset updated
    Nov 29, 2020
    Dataset authored and provided by
    University of Idaho
    Area covered
    Idaho
    Description

    The downloadable ZIP file contains a georeferenced TIF. This data set is a mosaic of 69 individual DRGs georeferenced to the IDTM83 grid. The original Digital Raster Graphic (DRG) is a raster image of a scanned USGS topographic map including the collar information, georeferenced to the UTM grid. DRGs are useful as a source or background layer in a GIS and as a means to perform quality assurance on other digital products.


    These data were contributed to INSIDE Idaho at the University of Idaho Library in 2004.

  12. M

    1:100k Digital Raster Graphic - Collars Removed

    • gisdata.mn.gov
    html, jpeg
    Updated Apr 18, 2023
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    Natural Resources Department (2023). 1:100k Digital Raster Graphic - Collars Removed [Dataset]. https://gisdata.mn.gov/dataset/base-usgs-scanned-topo-100k-drg
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    html, jpegAvailable download formats
    Dataset updated
    Apr 18, 2023
    Dataset provided by
    Natural Resources Department
    Description

    A digital raster graphic (DRG) is a scanned image of an U.S. Geological Survey (USGS) standard series topographic map, including all map collar information. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator projection. The horizontal positional accuracy and datum of the DRG matches the accuracy and datum of the source map. The map is scanned at a minimum resolution of 250 dots per inch.

    DRG's are created by scanning published paper maps on high-resolution scanners. The raster image is georeferenced and fit to the UTM projection. Colors are standardized to remove scanner limitations and artifacts. The average data set size is about 6 megabytes in Tagged Image File Format (TIFF) with PackBits compression. DRG's can be easily combined with other digital cartographic products such as digital elevation models (DEM) and digital orthophoto quadrangles (DOQ).

    DRG's are stored as rectified TIFF files in geoTIFF format. GeoTIFF is a relatively new TIFF image storage format that incorporates georeferencing information in the header. This allows software, such as ArcView, ARC/INFO, or EPPL7 to reference the image without an additional header or world file.

    Within the Minnesota Department of Natural Resources Core GIS data set the DRG's have been processed to be in compliance with departmental data standards (UTM Extended Zone 15, NAD83 datum) and the map collar information has been removed to facilitate the display of the DRG's in a seamless fashion.

    These DRG's were clipped and transformed to UTM Zone 15 using EPPL7 Raster GIS.

  13. e

    Topographical map 1: 10 000-2639-NW Retzow (1997)

    • data.europa.eu
    html, pdf
    + more versions
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    Landesvermessung und Geobasisinformation Brandenburg (LGB), Topographical map 1: 10 000-2639-NW Retzow (1997) [Dataset]. https://data.europa.eu/88u/dataset/ebb6a333-ea25-48e3-9130-cb671e9f24ee
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    html, pdfAvailable download formats
    Dataset authored and provided by
    Landesvermessung und Geobasisinformation Brandenburg (LGB)
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Description

    The topographic map in the 1:10,000 scale is the basic measure of Brandenburg’s topographic maps. The Earth’s surface is relatively complete (only slightly generalised) and geometrically accurate to scale. It is the cartographic implementation of a comprehensive topographical country survey (photogrammetric aerial image evaluation, induction of additional topographic information, topographic field comparison). The historical editions of the TK10 are available from various years from 1992 (basic current of individual sheets older). From 2002 onwards, the TK10 (ATKIS) was created by deriving from the basic landscape model (base DLM). In different map layouts and representations, the historical map sheets depict a piece of Brandenburg’s contemporary history. They are available in analogue plot output (paper) and are available for download free of charge. When using the data, the license conditions must be observed. The topographic map in the 1:10,000 scale is the basic measure of Brandenburg’s topographic maps. The Earth’s surface is relatively complete (only slightly generalised) and geometrically accurate to scale. It is the cartographic implementation of a comprehensive topographical country survey (photogrammetric aerial image evaluation, induction of additional topographic information, topographic field comparison). The historical editions of the TK10 are available from various years from 1992 (basic current of individual sheets older). From 2002 onwards, the TK10 (ATKIS) was created by deriving from the basic landscape model (base DLM). In different map layouts and representations, the historical map sheets depict a piece of Brandenburg’s contemporary history. They are available in analogue plot output (paper) and are available for download free of charge. When using the data, the license conditions must be observed. The topographic map in the 1:10,000 scale is the basic measure of Brandenburg’s topographic maps. The Earth’s surface is relatively complete (only slightly generalised) and geometrically accurate to scale. It is the cartographic implementation of a comprehensive topographical country survey (photogrammetric aerial image evaluation, induction of additional topographic information, topographic field comparison). The historical editions of the TK10 are available from various years from 1992 (basic current of individual sheets older). From 2002 onwards, the TK10 (ATKIS) was created by deriving from the basic landscape model (base DLM). In different map layouts and representations, the historical map sheets depict a piece of Brandenburg’s contemporary history. They are available in analogue plot output (paper) and are available for download free of charge. When using the data, the license conditions must be observed. The topographic map in the 1:10,000 scale is the basic measure of Brandenburg’s topographic maps. The Earth’s surface is relatively complete (only slightly generalised) and geometrically accurate to scale. It is the cartographic implementation of a comprehensive topographical country survey (photogrammetric aerial image evaluation, induction of additional topographic information, topographic field comparison). The historical editions of the TK10 are available from various years from 1992 (basic current of individual sheets older). From 2002 onwards, the TK10 (ATKIS) was created by deriving from the basic landscape model (base DLM). In different map layouts and representations, the historical map sheets depict a piece of Brandenburg’s contemporary history. They are available in analogue plot output (paper) and are available for download free of charge. When using the data, the license conditions must be observed.

  14. g

    Joint Operations Graphic (JOG 1501G) 1:250,000 - Topographic

    • shop.geospatial.com
    Updated Feb 27, 2019
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    (2019). Joint Operations Graphic (JOG 1501G) 1:250,000 - Topographic [Dataset]. https://shop.geospatial.com/publication/FPZWNEKJF4F142P7SHEND4GHQ2/Joint-Operations-Graphic-JOG-1-to-250000-Topographic
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    Dataset updated
    Feb 27, 2019
    Description

    Spatial coverage index compiled by East View Geospatial of set "Joint Operations Graphic (JOG 1501G) 1:250,000 - Topographic". Source data from DMAHTC (publisher). Type: Topographic. Scale: 1:250,000. Region: World.

  15. d

    Topographic Map image of the San Gorgonio Pass area, Riverside County,...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Nov 19, 2025
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    U.S. Geological Survey (2025). Topographic Map image of the San Gorgonio Pass area, Riverside County, California. [Dataset]. https://catalog.data.gov/dataset/topographic-map-image-of-the-san-gorgonio-pass-area-riverside-county-california
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    Dataset updated
    Nov 19, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    San Gorgonio Pass, California, Riverside County
    Description

    This Digital Raster Graphic (DRG) was created using scanned U.S. Geological Survey 7.5-minute 1 to 24,000 scale maps georeferenced in Universal Transverse Mercator (UTM) grid. DRGs can be acquired with or without collar information for use in Geographic Information System (GIS) environment. Collarless DRGs can be edge matched creating a continuous collection of topographic maps.

  16. u

    Deming 1:100000 Quad Transportation DLGs

    • gstore.unm.edu
    csv, geojson, gml +5
    Updated Feb 7, 2009
    + more versions
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    Earth Data Analysis Center (2009). Deming 1:100000 Quad Transportation DLGs [Dataset]. https://gstore.unm.edu/apps/rgis/datasets/86f324d2-d45e-44db-8750-335c8fef12b7/metadata/FGDC-STD-001-1998.html
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    shp(25), geojson(25), csv(25), kml(25), json(25), xls(25), gml(25), zip(1)Available download formats
    Dataset updated
    Feb 7, 2009
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    Jun 19, 1987
    Area covered
    Luna County (35029), West Bounding Coordinate -108.000030517578 East Bounding Coordinate -106.999473571777 North Bounding Coordinate 32.5000343322754 South Bounding Coordinate 31.9997692108154
    Description

    Digital line graph (DLG) data are digital representations of cartographic information. DLG's of map features are converted to digital form from maps and related sources. Intermediate-scale DLG data are derived from USGS 1:100,000-scale 30- by 60-minute quadrangle maps. If these maps are not available, Bureau of Land Management planimetric maps at a scale of 1: 100,000 are used. Intermediate-scale DLG's are sold in five categories: (1) Public Land Survey System; (2) boundaries (3) transportation; (4) hydrography; and (5) hypsography. All DLG data distributed by the USGS are DLG - Level 3 (DLG-3), which means the data contain a full range of attribute codes, have full topological structuring, and have passed certain quality-control checks.

  17. g

    Topographic map 1: 25000 – 3240 Rhinow (2000)

    • gimi9.com
    Updated Feb 24, 2025
    + more versions
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    (2025). Topographic map 1: 25000 – 3240 Rhinow (2000) [Dataset]. https://gimi9.com/dataset/eu_9c1d06d1-789b-42e1-a885-8b3ea6a448e7
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    Dataset updated
    Feb 24, 2025
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Area covered
    Rhinow
    Description

    The topographic map in scale 1:25.000 is a map derived from the basic scale (TK10). The various manifestations of the Earth’s surface are presented in scale-based generalisation. In addition to many details such as churches, hospitals and railway stations, it also shows the different types of construction. The historical editions of the TK25 are available from different years from 1991 (basicity of individual sheets older). From 2004, the TK25 (ATKIS) was created by derivation from the basic landscape model (basic DLM). In different map layouts and illustrations, the historical map sheets depict a piece of Brandenburg’s contemporary history. They are available in analogue plot output (paper) and are available free of charge as a download. When using the data, the license terms must be observed. The topographic map in scale 1:25.000 is a map derived from the basic scale (TK10). The various manifestations of the Earth’s surface are presented in scale-based generalisation. In addition to many details such as churches, hospitals and railway stations, it also shows the different types of construction. The historical editions of the TK25 are available from different years from 1991 (basicity of individual sheets older). From 2004, the TK25 (ATKIS) was created by derivation from the basic landscape model (basic DLM). In different map layouts and illustrations, the historical map sheets depict a piece of Brandenburg’s contemporary history. They are available in analogue plot output (paper) and are available free of charge as a download. When using the data, the license terms must be observed. The topographic map in scale 1:25.000 is a map derived from the basic scale (TK10). The various manifestations of the Earth’s surface are presented in scale-based generalisation. In addition to many details such as churches, hospitals and railway stations, it also shows the different types of construction. The historical editions of the TK25 are available from different years from 1991 (basicity of individual sheets older). From 2004, the TK25 (ATKIS) was created by derivation from the basic landscape model (basic DLM). In different map layouts and illustrations, the historical map sheets depict a piece of Brandenburg’s contemporary history. They are available in analogue plot output (paper) and are available free of charge as a download. When using the data, the license terms must be observed. The topographic map in scale 1:25.000 is a map derived from the basic scale (TK10). The various manifestations of the Earth’s surface are presented in scale-based generalisation. In addition to many details such as churches, hospitals and railway stations, it also shows the different types of construction. The historical editions of the TK25 are available from different years from 1991 (basicity of individual sheets older). From 2004, the TK25 (ATKIS) was created by derivation from the basic landscape model (basic DLM). In different map layouts and illustrations, the historical map sheets depict a piece of Brandenburg’s contemporary history. They are available in analogue plot output (paper) and are available free of charge as a download. When using the data, the license terms must be observed. The topographic map in scale 1:25.000 is a map derived from the basic scale (TK10). The various manifestations of the Earth’s surface are presented in scale-based generalisation. In addition to many details such as churches, hospitals and railway stations, it also shows the different types of construction. The historical editions of the TK25 are available from different years from 1991 (basicity of individual sheets older). From 2004, the TK25 (ATKIS) was created by derivation from the basic landscape model (basic DLM). In different map layouts and illustrations, the historical map sheets depict a piece of Brandenburg’s contemporary history. They are available in analogue plot output (paper) and are available free of charge as a download. When using the data, the license terms must be observed. The topographic map in scale 1:25.000 is a map derived from the basic scale (TK10). The various manifestations of the Earth’s surface are presented in scale-based generalisation. In addition to many details such as churches, hospitals and railway stations, it also shows the different types of construction. The historical editions of the TK25 are available from different years from 1991 (basicity of individual sheets older). From 2004, the TK25 (ATKIS) was created by derivation from the basic landscape model (basic DLM). In different map layouts and illustrations, the historical map sheets depict a piece of Brandenburg’s contemporary history. They are available in analogue plot output (paper) and are available free of charge as a download. When using the data, the license terms must be observed.

  18. u

    The Caprock 1:100000 Quad Transportation DLGs

    • gstore.unm.edu
    csv, geojson, gml +5
    Updated Feb 7, 2009
    + more versions
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    Earth Data Analysis Center (2009). The Caprock 1:100000 Quad Transportation DLGs [Dataset]. http://gstore.unm.edu/apps/rgis/datasets/99e671a2-78b9-479a-9d7d-88efd5d96a81/metadata/FGDC-STD-001-1998.html
    Explore at:
    json(5), zip(1), geojson(5), kml(5), shp(5), csv(5), gml(5), xls(5)Available download formats
    Dataset updated
    Feb 7, 2009
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    Jun 19, 1987
    Area covered
    De Baca County (35011), West Bounding Coordinate -104.000030517578 East Bounding Coordinate -103.039009094238 North Bounding Coordinate 35.0001792907715 South Bounding Coordinate 34.4999885559082
    Description

    Digital line graph (DLG) data are digital representations of cartographic information. DLG's of map features are converted to digital form from maps and related sources. Intermediate-scale DLG data are derived from USGS 1:100,000-scale 30- by 60-minute quadrangle maps. If these maps are not available, Bureau of Land Management planimetric maps at a scale of 1: 100,000 are used. Intermediate-scale DLG's are sold in five categories: (1) Public Land Survey System; (2) boundaries (3) transportation; (4) hydrography; and (5) hypsography. All DLG data distributed by the USGS are DLG - Level 3 (DLG-3), which means the data contain a full range of attribute codes, have full topological structuring, and have passed certain quality-control checks.

  19. D

    Kadaster Knowledge Graph (KKG)

    • dataverse.nl
    Updated Jun 27, 2025
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    Kadaster (Dutch Land Registry); Kadaster (Dutch Land Registry) (2025). Kadaster Knowledge Graph (KKG) [Dataset]. http://doi.org/10.34894/TCGRD9
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    Dataset updated
    Jun 27, 2025
    Dataset provided by
    DataverseNL
    Authors
    Kadaster (Dutch Land Registry); Kadaster (Dutch Land Registry)
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    The Kadaster Knowledge Graph (KKG) is an integrated publication of multiple large-scale spatial datasets based on the IMX-Geo model. The Kadaster Knowledge Graph allows researchers to explore and analyze cadastral data through a structured, semantically rich model. Among others, the KKG contains data from the Key Register of Addresses and Buildings (BAG), the Key Register of Large-scale Topography (BGT), the Top10NL from the Key Register of Topography (BRT), the Administrative Areas from the Key Register of Cadastres (BRK) and data from the Public Law Restrictions (PB). There is currently no Service Level Agreement offered on the Kadaster Knowledge Graph. You can read more about the KKG at this page (in Dutch). The data can be queried via https://data.kkg.kadaster.nl/sparql/.

  20. e

    Topographic map 1 : 10 000 - 3044-NO Gransee - Meseberg (2007)

    • data.europa.eu
    html, pdf
    + more versions
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    Landesvermessung und Geobasisinformation Brandenburg (LGB), Topographic map 1 : 10 000 - 3044-NO Gransee - Meseberg (2007) [Dataset]. https://data.europa.eu/data/datasets/f0e0cd1e-4a67-46b8-b2fb-7088a80bce2f
    Explore at:
    html, pdfAvailable download formats
    Dataset authored and provided by
    Landesvermessung und Geobasisinformation Brandenburg (LGB)
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Description

    The topographic map on a scale of 1:10,000 is the basic scale of Brandenburg's topographical maps. The earth's surface is relatively complete (only slightly generalized) and geometrically exact to scale. It is the cartographic implementation of a comprehensive topographical survey of the country (photogrammetric aerial image evaluation, incorporation of topographical additional information, topographical field comparison). The historical editions of the TK10 are available from different years from 1992 (basic up-to-dateness of individual sheets older). From 2002, the TK10 (ATKIS) was created by deriving from the basic landscape model (basic DLM). In different map layouts and representations, the historical map sheets depict a piece of Brandenburg's contemporary history. They are available in analogue plot output (paper) and are available free of charge as downloads. When using the data, the license conditions must be observed.

Share
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TwitterTwitter
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Click to copy link
Link copied
Close
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U.S. Geological Survey (2025). Grammar transformations of topographic feature type annotations of the U.S. to structured graph data. [Dataset]. https://catalog.data.gov/dataset/grammar-transformations-of-topographic-feature-type-annotations-of-the-u-s-to-structured-g

Data from: Grammar transformations of topographic feature type annotations of the U.S. to structured graph data.

Related Article
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Dataset updated
Oct 29, 2025
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Area covered
United States
Description

These data were used to examine grammatical structures and patterns within a set of geospatial glossary definitions. Objectives of our study were to analyze the semantic structure of input definitions, use this information to build triple structures of RDF graph data, upload our lexicon to a knowledge graph software, and perform SPARQL queries on the data. Upon completion of this study, SPARQL queries were proven to effectively convey graph triples which displayed semantic significance. These data represent and characterize the lexicon of our input text which are used to form graph triples. These data were collected in 2024 by passing text through multiple Python programs utilizing spaCy (a natural language processing library) and its pre-trained English transformer pipeline. Before data was processed by the Python programs, input definitions were first rewritten as natural language and formatted as tabular data. Passages were then tokenized and characterized by their part-of-speech, tag, dependency relation, dependency head, and lemma. Each word within the lexicon was tokenized. A stop-words list was utilized only to remove punctuation and symbols from the text, excluding hyphenated words (ex. bowl-shaped) which remained as such. The tokens’ lemmas were then aggregated and totaled to find their recurrences within the lexicon. This procedure was repeated for tokenizing noun chunks using the same glossary definitions.

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