100+ datasets found
  1. s

    Shapefiles

    • data.stib-mivb.brussels
    • data.stib-mivb.be
    csv, excel, geojson +1
    Updated Aug 26, 2021
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    (2021). Shapefiles [Dataset]. https://data.stib-mivb.brussels/explore/dataset/shapefiles-production/
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    csv, geojson, excel, jsonAvailable download formats
    Dataset updated
    Aug 26, 2021
    Description

    Shapefiles information containing the basic information about the spatial structure of the STIB-MIVB network: route of the lines and position of the stops of the "commercial" network, that is the basic itineraries "to" and "from".

  2. d

    Data from: Polygon shapefile of data sources used to create a composite...

    • catalog.data.gov
    • datasets.ai
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Polygon shapefile of data sources used to create a composite multibeam bathymetry surface of the central Cascadia Margin offshore Oregon [Dataset]. https://catalog.data.gov/dataset/polygon-shapefile-of-data-sources-used-to-create-a-composite-multibeam-bathymetry-surface--a9e29
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Oregon
    Description

    Data from various sources, including 2018 and 2019 multibeam bathymetry data collected by the National Oceanic and Atmospheric Administration (NOAA) and the U.S. Geological Survey (USGS) were combined to create a composite 30-m resolution multibeam bathymetry surface of central Cascadia Margin offshore Oregon. These metadata describe the polygon shapefile that outlines and identifies each publicly available bathymetric dataset. The data are available as a polygon shapefile.

  3. c

    Parcels Public Shapefile

    • gis.sonomacounty.ca.gov
    • gis-sonomacounty.hub.arcgis.com
    Updated Mar 11, 2020
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    The County of Sonoma (2020). Parcels Public Shapefile [Dataset]. https://gis.sonomacounty.ca.gov/datasets/parcels-public-shapefile
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    Dataset updated
    Mar 11, 2020
    Dataset authored and provided by
    The County of Sonoma
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Area covered
    Description

    The seamless, county-wide parcel layer was digitized from official Assessor Parcel (AP) Maps which were originally maintained on mylar sheets and/or maintained as individual Computer Aided Design (CAD) drawing files (e.g., DWG). The CRA office continues to maintain the official AP Maps in CAD drawings and Information Systems Department/Geographic Information Systems (ISD/GIS) staff apply updates from these maps to the seamless parcel base in the County’s Enterprise GIS. This layer is a partial view of the Information Sales System (ISS) extract, a report of property characteristics taken from the County’s Megabyte Property Tax System (MPTS). This layer may be missing some attributes (e.g., Owner Name) which may not be published to the Internet due to privacy conditions under the California Public Records Act (CPRA). Please contact the Clerk-Recorder-Assessor (CRA) office at (707) 565-1888 for information on availability, associated fees, and access to other versions of Sonoma County parcels containing additional property characteristics.The seamless parcel layer is updated and published to the Internet on a monthly basis.The seamless parcel layer was developed from the source data using the general methodology outlined below. The mylar sheets were scanned and saved to standard image file format (e.g., TIFF). The individual scanned maps or CAD drawing files were imported into GIS software and geo-referenced to their corresponding real-world locations using high resolution orthophotography as control. The standard approach was to rescale and rotate the scanned drawing (or CAD file) to match the general location on the orthophotograph. Then, appropriate control points were selected to register and rectify features on the scanned map (or CAD drawing file) to the orthophotography. In the process, features in the scanned map (or CAD drawing file) were transformed to real-world coordinates, and line features were created using “heads-up digitizing” and stored in new GIS feature classes. Recommended industry best practices were followed to minimize root mean square (RMS) error in the transformation of the data, and to ensure the integrity of the overall pattern of each AP map relative to neighboring pages. Where available Coordinate Geometry (COGO) & survey data, tied to global positioning systems (GPS) coordinates, were also referenced and input to improve the fit and absolute location of each page. The vector lines were then assembled into a polygon features, with each polygon being assigned a unique identifier, the Assessor Parcel Number (APN). The APN field in the parcel table was joined to the corresponding APN field in the assessor property characteristics table extracted from the MPTS database to create the final parcel layer. The result is a seamless parcel land base, each parcel polygon coded with a unique APN, assembled from approximately 6,000 individual map page of varying scale and accuracy, but ensuring the correct topology of each feature within the whole (i.e., no gaps or overlaps). The accuracy and quality of the parcels varies depending on the source. See the fields RANK and DESCRIPTION fields below for information on the fit assessment for each source page. These data should be used only for general reference and planning purposes. It is important to note that while these data were generated from authoritative public records, and checked for quality assurance, they do not provide survey-quality spatial accuracy and should NOT be used to interpret the true location of individual property boundary lines. Please contact the Sonoma County CRA and/or a licensed land surveyor before making a business decision that involves official boundary descriptions.

  4. d

    Polygon shapefile of data sources used to create a bathymetric terrain model...

    • catalog.data.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Polygon shapefile of data sources used to create a bathymetric terrain model of multibeam sonar data collected between 2005 and 2018 along the Queen Charlotte Fault System in the eastern Gulf of Alaska from Cross Sound, Alaska to Queen Charlotte Sound, Canada. (Esri polygon shapefile, UTM 8 WGS 84) [Dataset]. https://catalog.data.gov/dataset/polygon-shapefile-of-data-sources-used-to-create-a-bathymetric-terrain-model-of-multibeam-
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Gulf of Alaska, Alaska, Canada, Queen Charlotte Sound
    Description

    This data publication is a compilation of six different multibeam surveys covering the previously unmapped Queen Charlotte Fault offshore southeast Alaska and Haida Gwaii, Canada. These data were collected between 2005 and 2018 under a cooperative agreement between the U.S. Geological Survey, Natural Resources Canada, and the National Oceanic and Atmospheric Administration. The six source surveys from different multibeam sonars are combined into one terrain model with a 30-meter resolution. A complementary polygon shapefile records the extent of each source survey in the output grid.

  5. d

    Shapefile of European countries

    • data.dtu.dk
    png
    Updated Jul 17, 2023
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    Kristian Sevdari; Drin Marmullaku (2023). Shapefile of European countries [Dataset]. http://doi.org/10.11583/DTU.23686383.v1
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    pngAvailable download formats
    Dataset updated
    Jul 17, 2023
    Dataset provided by
    Technical University of Denmark
    Authors
    Kristian Sevdari; Drin Marmullaku
    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
    Europe
    Description

    This file contains European countries in a shapefile format that can be used in python, R or matlab. The file has been created by Drin Marmullaku based on GADM version 4.1 (https://gadm.org/) and distributed according to their license (https://gadm.org/license.html).

    Please cite as: Sevdari, Kristian; Marmullaku, Drin (2023). Shapefile of European countries. Technical University of Denmark. Dataset. https://doi.org/10.11583/DTU.23686383 This dataset is distributed under a CCBY-NC-SA 4.0 license

    Using the data to create maps for publishing of academic research articles is allowed. Thus you can use the maps you made with GADM data for figures in articles published by PLoS, Springer Nature, Elsevier, MDPI, etc. You are allowed (but not required) to publish these articles (and the maps they contain) under an open license such as CC-BY as is the case with PLoS journals and may be the case with other open access articles. Data for the following countries is covered by a a different license Austria: Creative Commons Attribution-ShareAlike 2.0 (source: Government of Austria)

  6. a

    Drains Shapefile

    • hub.arcgis.com
    • home-ecgis.hub.arcgis.com
    Updated Aug 9, 2018
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    Eaton County Michigan (2018). Drains Shapefile [Dataset]. https://hub.arcgis.com/datasets/34a6df0b3005475ebfe0520af0cf856f
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    Dataset updated
    Aug 9, 2018
    Dataset authored and provided by
    Eaton County Michigan
    Description

    This shapefile contains drains that are maintained by Eaton County, Michigan Drains Office. This dataset has been in a state of non-maintenance for many years and has known issues with completeness and accuracy. The dataset was created by the Eaton County Drains Office circa 2008. The features in this shapefile estimate the rough location of the centerline of the drain right-of-way as legally described.

  7. a

    Hydrography Shapefile Lines - Statewide

    • gis-odnr.opendata.arcgis.com
    Updated Nov 6, 2024
    + more versions
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    Ohio Department of Natural Resources (2024). Hydrography Shapefile Lines - Statewide [Dataset]. https://gis-odnr.opendata.arcgis.com/datasets/hydrography-shapefile-lines-statewide
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    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Ohio Department of Natural Resources
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Download .zipThis is a statewide digital version of the Hydrography layer of the published USGS 1:24OOO-scale topographic map series. It was created from DLG files of each scanned 7.5-minute quad map, using custom ARC/INFO software routines which did the following steps: convert from DLG format to coverage format project from UTM to StatePlane map projection rubbersheet map sheet corners to exact computed quad-corner coordinates run semi-automated Edgematching procedure which joins hydrography lines along the quad edges, using distance-offset (maximum of 100 feet) and attribute-match criteria to determine which lines to join. merge the individual quad coverages and dissolve the quad-edge lines Processing was done using Double Precision coordinates and math, with processing tolerance (Fuzzy) of 1 foot.

    In the Database/Dataset Section the items CMAJOR and CMINOR represent coded pairs and are documented together. Up to five pairs in the pat and four pairs in the aat may be present. These will be appear in the tables as CMAJOR1 CMINOR1 CMAJOR2 CMINOR2, etc.

    The layer has been provided in both shape file and coverage format. In the case of the shape file separate shape files are provided for point, line, and polygon data. In the coverage format the line and polygon data is combined in one coverage. The shape files will be the choice of most users due to speed of drawing issues. Those users desiring to manipulate the original data may want to use the coverage format. All shapefiles have been combined for simplicities sake into one self extracting zip file which expands to about 500 megabytes. However, the value listed in the file size parameter of the metadata represents only the size of the particular shapefile being documented. Also it should be noted that the coverages contain redefined items which of necessity had to be split into separate items or omitted in the shape files because this option isn't available in shapefiles.

    This layer documentation is for the Shapefile which includes line features.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesReal Estate & Land ManagementReal Estate and Lands Management2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

  8. d

    Polygon shapefile of data sources used to create a composite multibeam...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Polygon shapefile of data sources used to create a composite multibeam bathymetry surface of the southern Cascadia Margin offshore Oregon and northern California [Dataset]. https://catalog.data.gov/dataset/polygon-shapefile-of-data-sources-used-to-create-a-composite-multibeam-bathymetry-surface-
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Oregon
    Description

    This polygon shapefile describes the data sources used to create a composite 30-m resolution multibeam bathymetry surface of southern Cascadia Margin offshore Oregon and northern California.

  9. a

    25' Contour Shapefile

    • data-islandcountygis.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jun 26, 2018
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    Island County GIS (2018). 25' Contour Shapefile [Dataset]. https://data-islandcountygis.opendata.arcgis.com/documents/cf1b5a69b15540779d9edaead32b8ada
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    Dataset updated
    Jun 26, 2018
    Dataset authored and provided by
    Island County GIS
    License

    https://maps.islandcountywa.gov/WebFiles/DataDownloads/Metadata/Contour25.htmlhttps://maps.islandcountywa.gov/WebFiles/DataDownloads/Metadata/Contour25.html

    Description

    25' contours created from 2015 6" resolution Lidar data at a county-wide scale. Intended uses are for cartographic and analysis purposes.

  10. TIGER/Line Shapefile, 2023, County, Tulsa County, OK, All Lines

    • catalog.data.gov
    Updated Dec 14, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, 2023, County, Tulsa County, OK, All Lines [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-tulsa-county-ok-all-lines
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Oklahoma, Tulsa County
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

  11. A

    Global LSIB Polygons Detailed

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    • +1more
    shp
    Updated May 22, 2024
    + more versions
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    UN Humanitarian Data Exchange (2024). Global LSIB Polygons Detailed [Dataset]. https://data.amerigeoss.org/gl/dataset/global-lsib-polygons-detailed
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    shp(104365697)Available download formats
    Dataset updated
    May 22, 2024
    Dataset provided by
    UN Humanitarian Data Exchange
    Description

    The Office of the Geographer’s Global Large Scale International Boundary Detailed Polygons file combines two datasets, the Office of the Geographer’s Large Scale International Boundary Lines and NGA shoreline data. The LSIB is believed to be the most accurate worldwide (non- W. Europe) international boundary vector line file available. The lines reflect U.S. government (USG) policy and thus not necessarily de facto control. The 1:250,000 scale World Vector Shoreline (WVS) coastline data was used in places and is generally shifted by several hundred meters to over a km. There are no restrictions on use of this public domain data. The Tesla Government PiX team performed topology checks and other GIS processing while merging data sets, created more accurate island shoreline in numerous cases, and worked closely with the US Dept. of State Office of the Geographer on quality control checks.

    Methodology: Tesla Government’s Protected Internet Exchange (PiX) GIS team converted the LSIB linework and the island data provided by the State Department to polygons. The LSIB Admin 0 world polygons (Admin 0 polygons) were created by conflating the following datasets: Eurasia_Oceania_LSIB7a_gen_polygons, Africa_Americas_LSIB7a_gen_polygons, Africa_Americas_LSIB7a, Eurasia_LSIB7a, additional updates from LSIB8, WVS shoreline data, and other shoreline data from United States Government (USG) sources. The two simplified polygon shapefiles were merged, dissolved, and converted to lines to create a single global coastline dataset. The two detailed line shapefiles (Eurasia_LSIB7a and Africa_Americas_LSIB7a) were merged with each other and the coastlines to create an international boundary shapefile with coastlines. The dataset was reviewed for the following topological errors: must not self overlap, must not overlap, and must not have dangles. Once all topological errors were fixed, the lines were converted to polygons. Attribution was assigned by exploding the simplified polygons into multipart features, converting to centroids, and spatially joining with the newly created dataset. The polygons were then dissolved by country name. Another round of QC was performed on the dataset through the data reviewer tool to ensure that the conversion worked correctly. Additional errors identified during this process consisted of islands shifted from their true locations and not representing their true shape; these were adjusted using high resolution imagery whereupon a second round of QC was applied with SRTM digital elevation model data downloaded from USGS. The same procedure was performed for every individual island contained in the islands from other USG sources.
    After the island dataset went through another round of QC, it was then merged with the Admin 0 polygon shapefile to form a comprehensive world dataset. The entire dataset was then evaluated, including for proper attribution for all of the islands, by the Office of the Geographer.

  12. K

    Hydrography Polygons

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Oct 1, 2002
    + more versions
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    US Bureau of Transportation Statistics (BTS) (2002). Hydrography Polygons [Dataset]. https://koordinates.com/layer/22709-hydrography-polygons/
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    pdf, kml, geopackage / sqlite, mapinfo tab, shapefile, csv, dwg, mapinfo mif, geodatabaseAvailable download formats
    Dataset updated
    Oct 1, 2002
    Dataset authored and provided by
    US Bureau of Transportation Statistics (BTS)
    Area covered
    Description

    The hydrographic polygon coverages were created using TIGER/LINE 2000 shapefile data gathered from ESRI's Geography Network. The individual county hydrography line shapefiles were processed into Arc/Info coverages and then appended together to create complete state coverages. They were then edited to remove unwanted features, leaving a state-by-state database of both important and navigable water features. Attributes were added to denote navigable features and names. Also, an attribute was added to the polygons to denote which were water and which were land features. The state databases were then appended together to create a single, nationwide hydrography network containing named arcs and polygons. These features also contain a state FIPS. Because some of the hydro features are represented by lines instead of polygons, the complete hydro dataset consists of 2 shapefiles, one for lines and one for polygons. They must be used together to paint a complete picture.

    © US Census and ESRI This layer is sourced from maps.bts.dot.gov.

    The hydrographic polygon coverages (NTAD 2015) were created using TIGER/LINE 2000 shapefile data gathered from ESRI's Geography Network. The individual county hydrography line shapefiles were processed into Arc/Info coverages and then appended together to create complete state coverages. They were then edited to remove unwanted features, leaving a state-by-state database of both important and navigable water features. Attributes were added to denote navigable features and names. Also, an attribute was added to the polygons to denote which were water and which were land features. The state databases were then appended together to create a single, nationwide hydrography network containing named arcs and polygons. These features also contain a state FIPS. Because some of the hydro features are represented by lines instead of polygons, the complete hydro dataset consists of 2 shapefiles, one for lines and one for polygons. They must be used together to paint a complete picture.

    © US Census and ESRI

  13. a

    Parcel Shapefile

    • home-ecgis.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Aug 10, 2018
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    Eaton County Michigan (2018). Parcel Shapefile [Dataset]. https://home-ecgis.hub.arcgis.com/datasets/494eb27635154a979d88f4bd83783dd1
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    Dataset updated
    Aug 10, 2018
    Dataset authored and provided by
    Eaton County Michigan
    Description

    This shapefile contains tax parcel polygons for Eaton County, Michigan, USA. Because tax parcel information changes daily, this shapefile contains only geometry, the parcel identifier and a URL link to the current information for each parcel. Parcel geometries are not survey-grade and should not be used to make important decisions like where to build a structure or install a fence. In their current form, they are only useful in spatial terms for getting an inexact idea of where a parcel is located. If you need to know exactly where a property line falls, please consult a certified land surveyor. Parcel geometries will be updated either annually or bi-annually. New splits and combinations are typically not visible in the parcel geometry until changes become official via Board of Review in the following April.

  14. B

    Shapefile to DJI Pilot KML conversion tool

    • borealisdata.ca
    • search.dataone.org
    Updated Jan 30, 2023
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    Nicolas Cadieux (2023). Shapefile to DJI Pilot KML conversion tool [Dataset]. http://doi.org/10.5683/SP3/W1QMQ9
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 30, 2023
    Dataset provided by
    Borealis
    Authors
    Nicolas Cadieux
    License

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

    Description

    This Python script (Shape2DJI_Pilot_KML.py) will scan a directory, find all the ESRI shapefiles (.shp), reproject to EPSG 4326 (geographic coordinate system WGS84 ellipsoid), create an output directory and make a new Keyhole Markup Language (.kml) file for every line or polygon found in the files. These new *.kml files are compatible with DJI Pilot 2 on the Smart Controller (e.g., for M300 RTK). The *.kml files created directly by ArcGIS or QGIS are not currently compatible with DJI Pilot.

  15. TIGER/Line Shapefile, 2022, County, San Francisco County, CA, All Lines

    • catalog.data.gov
    Updated Jan 28, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, County, San Francisco County, CA, All Lines [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-county-san-francisco-county-ca-all-lines
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    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    San Francisco, California
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

  16. a

    2015 Contour Shapefile

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 3, 2017
    + more versions
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    Waukesha County (2017). 2015 Contour Shapefile [Dataset]. https://hub.arcgis.com/documents/8218c3405342459c8513143c2f5239e4
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    Dataset updated
    Mar 3, 2017
    Dataset authored and provided by
    Waukesha County
    Area covered
    Description

    Corresponding hydro-flattened Digital Terrain Model (DTM) files were created in Esri file geodatabase format. 1-foot contours were created from the hydro-flattened digital terrain model data and delivered in Esri file geodatabase format. The SEWRPC 2015 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The primary set of deliverable data was developed based on the following two horizontal projection/datum systems as specified in the contract: NAD83 (2011) State Plane Wisconson South Zone, US survey feet; NAVD88, US survey feet for Waukesha County LiDAR data was delivered in RAW flight line swath format, and processed to create Classified LAS 1.2 Files formatted to individual 10,000-foot x 10,000-foot tiles. Tile counts are listed below: Waukesha: 187 tiles

  17. U

    Data from: Fisheries Sediment Data (WIGLEY65 shapefile)

    • data.usgs.gov
    • datadiscoverystudio.org
    • +4more
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    Lawrence Poppe, Fisheries Sediment Data (WIGLEY65 shapefile) [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:2c0f245a-dfa0-47ca-8735-81873aa817e6
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Lawrence Poppe
    License

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

    Time period covered
    Jan 15, 1965 - Nov 9, 1965
    Description

    This is a part of the National Geophysical Data Center (NGDC) Seafloor Surficial Sediment (Deck 41) Data File. Deck 41 is an original data file created by the Marine Geology and Geophysics Group of NGDC from 1970-1975, abstracted from unpublished material contributed to NGDC by multiple groups of individuals. No updates of Deck 41 have been added since 1975. The data that comprise this portion of Deck 41 were generated by R.L. Wigley during 1965 aboard ALBATROSS IV cruises 65-2, 65-13, and 65-14.

  18. U

    Shapefile of flood inundation maps for Papillion Creek near Offutt Air Force...

    • data.usgs.gov
    • catalog.data.gov
    Updated May 26, 2023
    + more versions
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    Kellan Strauch (2023). Shapefile of flood inundation maps for Papillion Creek near Offutt Air Force Base, Nebraska [Dataset]. http://doi.org/10.5066/P9XQIXMN
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    Dataset updated
    May 26, 2023
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Kellan Strauch
    License

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

    Time period covered
    2023
    Area covered
    Offutt Air Force Base, Nebraska, Papillion Creek
    Description

    These data-sets are polygon shapefiles that represent flood inundation boundaries for 157 flooding scenarios in an 8-mile reach of the Papillion Creek near Offutt Air Force Base. These shapefiles were created by the U.S. Geological Survey (USGS) in cooperation with the U.S. Air Force, Offutt Air Force Base for use within the USGS Flood Inundation Mapping program. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgages on the Papillion Creek at Fort Crook, Nebr. (station 06610795) and Papillion Creek at Harlan Lewis Road near La Platte, Nebr. (station 06610798). Near-real-time stages at these streamgages may be obtained from the USGS National Water Information System web interface at https://doi.org/10. ...

  19. m

    Cartographic masks for map products GAL210

    • demo.dev.magda.io
    • researchdata.edu.au
    • +1more
    zip
    Updated Apr 13, 2022
    + more versions
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    Bioregional Assessment Program (2022). Cartographic masks for map products GAL210 [Dataset]. https://demo.dev.magda.io/dataset/ds-dga-eb0cd555-2e59-41f3-8e7e-f8a07f0a0ac4
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    zipAvailable download formats
    Dataset updated
    Apr 13, 2022
    Dataset provided by
    Bioregional Assessment Program
    License

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

    Description

    Abstract This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. Cartographic masks for map products GAL_210, used for clear annotation and masking unwanted features from report maps. Dataset History A shapefile was created for the use of masking data to highlight text. Method: * A new polygon shapefile was created with no contentShow full descriptionAbstract This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. Cartographic masks for map products GAL_210, used for clear annotation and masking unwanted features from report maps. Dataset History A shapefile was created for the use of masking data to highlight text. Method: * A new polygon shapefile was created with no content * The shapefile was then populated in an ArcMap editing session by digitizing polygons which surround text. * ArcMAP's Advanced Drawing Option was then used to mask data behind text. Dataset Citation Bioregional Assessment Programme (2015) Cartographic masks for map products GAL210. Bioregional Assessment Source Dataset. Viewed 07 December 2018, http://data.bioregionalassessments.gov.au/dataset/4bb5f4f2-bae9-44da-a5d7-398622e164df.

  20. TIGER/Line Shapefile, 2023, County, Philadelphia County, PA, Topological...

    • catalog.data.gov
    Updated Dec 14, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, 2023, County, Philadelphia County, PA, Topological Faces (Polygons With All Geocodes) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-philadelphia-county-pa-topological-faces-polygons-with-all-geo
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Pennsylvania, Philadelphia County
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

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(2021). Shapefiles [Dataset]. https://data.stib-mivb.brussels/explore/dataset/shapefiles-production/

Shapefiles

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csv, geojson, excel, jsonAvailable download formats
Dataset updated
Aug 26, 2021
Description

Shapefiles information containing the basic information about the spatial structure of the STIB-MIVB network: route of the lines and position of the stops of the "commercial" network, that is the basic itineraries "to" and "from".

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