Geospatial data about Smyth County, Virginia Parcels. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Smyth County, Virginia Sewer Lines. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Smyth County, Virginia Buildings. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Smyth County, Virginia Polling Places. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Smyth County, Virginia Fire Hydrants. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Smyth County, Virginia Zoning. Export to CAD, GIS, PDF, CSV and access via API.

The Digital Geologic-GIS Map of the Varilla Quadrangle, Kentucky and Virginia is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (vari_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (vari_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (vari_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (cuga_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (cuga_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (vari_geology_metadata_faq.pdf). Please read the cuga_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Kentucky Geological Survey and U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (vari_geology_metadata.txt or vari_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Vegetation map of Smith Island, Virginia photointerpreted from aeriel photographs (June 1974) and a field check (1975). This map was digitized and georeferenced by Virginia Tech University Library. Additional information can be found at the following url(s); http://www.vacadsci.org/vjsArchives/V41/41-4A/TitlePage.html, http://www.vacadsci.org/vjsArchives/V41/41-4A/p282.pdf, http://vanhde.org/content/map, https://www.arcgis.com/home/item.html?id=f2add68fee9a416786306c8d881f4ebc. GeoTIFF can be downloaded as a ZIP package at the following location; https://secure-archive.gis.vt.edu/gisdata/public/DigitizedMapCollections/VirginiaTechUniversityLibraries/VTU_DMC_000009.zip. The associated ZIP package contains an original scanned image and an image georeferenced using ArcGIS Pro.

Geospatial data about Smyth County, Virginia Zip Codes. Export to CAD, GIS, PDF, CSV and access via API.

The Digital Geologic-GIS Map of Vicksburg National Military Park, Mississippi and Louisiana is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (vick_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (vick_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (vick_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (vick_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (vick_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (vick_geology_metadata_faq.pdf). Please read the vick_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Mississippi State University, Department of Geosciences. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (vick_geology_metadata.txt or vick_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Historical holdings data showing quarterly positions, market values, shares held, and portfolio percentages for GIS held by SHEETS SMITH WEALTH MANAGEMENT from Q2 2018 to Q1 2025

Geometry Type: PolygonProjected Coordinate System: NAD_1983_StatePlane_Massachusetts_Mainland_FIPS_2001Projection: Lambert_Conformal_ConicLinear Unit: MeterGeographic Coordinate System: GCS_North_American_1983Datum: D_North_American_1983Prime Meridian: GreenwichAngular Unit: DegreeQ:\Data\campus\smith_campus_shape.shp

Geospatial data about Smyth County, Virginia Major Roads. Export to CAD, GIS, PDF, CSV and access via API.

This feature layer contains location data for Smith Mills dam. This feature layer was created to make the map (Smith Mills Dam Map) that is used in a StoryMap (Removal of Smith Mills Dam) that guides viewers through a complex dam removal project from start to finish. Smith Mills dam is located along Silver Creek in the Town of Hanover, Chautauqua County, New York. The project was a collaboration between the Chautauqua County Soil and Water Conservation District, Village of Silver Creek, Town of Hanover, NYS Department of Environmental Conservation, and the U.S. Fish and Wildlife Service from the Lower Great Lakes Fish and Wildlife Conservation Office. Smith Mills dam was built in 1905 and removed during the summer of 2020.For additional information or questions, please contact: Megan Kochermegan_kocher@fws.gov

Historical ownership data of GIS by SHEETS SMITH WEALTH MANAGEMENT

This data was collected as part of the Mill River Invasive Species Eradication Project supported by the Facilities Management Department at Smith College. All data was collected in areas A, B, C, and D, which are the river waterfront areas where Smith must manage invasives in perpetuity. This project was brought about by the installation of a synthetic turf field that impacted the riparian zone (river bank) of the Mill River. This data was collected in the summer of 2010 by Botanic Garden Summer Intern Brittany Innis ‘13. This was collected in areas A, B, C, and D by the Mill River at Smith College and includes only the Autumn Olive plants found that summer. View complete metadata here: http://www.science.smith.edu/departments/sal/maps/metadata/invasives/2010/Multiflora_2010.pdfVisit our website for more information: www.smith.edu/gis

CCAMLR (Commission for the Conservation of Antarctic Marine Living Resources) Statistical Reporting Subareas.
GIS data representing the boundary (line) and centroid (point with the area name as an attribute) of each area.
The southern boundary of the areas adjacent to Antarctica is the coastline of Antarctica. The coastline has not been included with this data.

This dataset is no longer maintained by the Australian Antarctic Data Centre as the CCAMLR Statistical Reporting Subarea boundaries are now available from CCAMLR's Online GIS (see the Related URL).

This dataset is GIS data representing waypoints and routes in the area of the Windmill Islands, Antarctica.
The waypoint and route data held by the Australian Antarctic Data Centre is updated after each summer season using feedback provided by the Australian Antarctic Division's Field Training Officers with approval for changes given by the Australian Antarctic Division's Field Support Coordinator.

The Australian Antarctic Data Centre's Larsemann Hills topographic GIS dataset was mapped from aerial photography. Refer to the metadata record 'Larsemann Hills - Mapping from aerial photography captured February 1998', Entry ID gis135.
Since then GIS data with the locations and attributes of a range of features has been created from various sources, often for the purpose of environmental management. The features include station buildings, refuges, camp sites, management zones, helicopter landing areas, anchorages, beaches, a grave, monuments and Physics equipment.
The data are included in the GIS data available for download from a Related URL below.
The data conforms to the SCAR Feature Catalogue which includes data quality information. See a Related URL below.
Data described by this metadata record has Dataset_id = 6.
Each feature has a Qinfo number which, when entered at the 'Search datasets and quality' tab, provides data quality information for the feature, including the origin of the data.

The Digital Geologic-GIS Map of the Long Lake Quadrangle, Mississippi and Louisiana is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (lola_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (lola_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (lola_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (vick_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (vick_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (lola_geology_metadata_faq.pdf). Please read the vick_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Mississippi State University, Department of Geosciences. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (lola_geology_metadata.txt or lola_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).