Vector Data Download Area
Note: You may wish to consider using a file download manager to help ensure complete downloading of files should the download connection be interrupted. One such tool is the Free Download Manager, which is not endorsed nor supported by the NDGIS but is listed as an example.
Note: To download multiple files at a time you may wish to consider using a utility such as wget. After installing wget, an example for downloading all files from an HTTP directory is:
C:\data>"c:\Program Files\GnuWin32\bin\wget.exe" -rv http://gisdata.nd.gov/Cities/BismarckMandan/Elevation/2009/Contours/SHP/
An example of downloading only the .xml files is:
C:\data>"c:\Program Files\GnuWin32\bin\wget.exe" -rv -A.xml http://gisdata.nd.gov/Cities/BismarckMandan/Elevation/2009/Contours/SHP/
| Title | Description |
|---|---|
| Greater than 1:12,000 | |
| City of Bismarck | The 2005 Bismarck 2-foot contours on the GIS Hub is courtesy of the City of Bismarck. Note the two ZIP files, one contains the data in ESRI shapefile format and the other in AutoCAD DWG format. Please also note the metadata file in the directory. |
| City of Mandan | The 2005 Mandan 2-foot contours on the GIS Hub is courtesy of the City of Mandan. Note the two ZIP files, one contains the data in ESRI shapefile format and the other in AutoCAD DWG format. Please also note the metadata file in the directory. |
| Bismarck-Mandan | The combined Bismarck and Mandan LiDAR-based elevation data on the GIS Hub is courtesy of a partnership between the Bismarck/Mandan MPO, the State of North Dakota, the City of Bismarck, the City of Lincoln, the City of Mandan, Burleigh County and Morton County. |
| Greater than 1:24,000 | |
| Wetlands | These data sets represent the extent, approximate location and type of wetlands and deepwater habitats in North Dakota. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). The 'wetlands' data are polygonal features, the 'wetlandslinear' are linear features. Please note that these are very large datasets. |
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