The Digital Geologic-GIS Map of the Oneida South Quadrangle, Tennessee 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 (onso_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 (onso_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 (onso_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 (biso_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (biso_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 (onso_geology_metadata_faq.pdf). Please read the biso_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: Tennessee Division of Geology. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (onso_geology_metadata.txt or onso_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).

2' elevation contours for Oneida Twp., Eaton County, Michigan, USA. These are derived from a 4ft DEM built from our 2010 Lidar flight.

The Digital Bedrock Geologic-GIS Map of parts of the Oneida North Quadrangle, Tennessee 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 (onno_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 (onno_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 (onno_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 (biso_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (biso_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 (onno_geology_metadata_faq.pdf). Please read the biso_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: Tennessee Division of Geology. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (onno_geology_metadata.txt or onno_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).

These data provide an accurate high-resolution shoreline compiled from imagery of ERIE CANAL, ONEIDA LAKE TO CROSS LAKE, NY . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

Publication Date: March 2025 2023-2024 Parcel Data. Updated annually, or as needed. The data can be downloaded here: https://gis.ny.gov/parcels#data-download. This feature service has two layers: 1) NYS Tax Parcels Public, and 2) NYS Tax Parcels Public Footprint which contains polygons representing counties for which tax parcel polygons are available in the NYS Tax Parcels Public layer. County footprint polygons display when zoomed out beyond 1:37,050-scale. Tax parcel polygons display when zoomed in below 1:37,051-scale. The NYS Tax Parcels Public layer contains 2023-2024 parcel data only for NY State counties which gave NYS ITS Geospatial Services permission to share this data with the public. Work to obtain parcel data from additional counties, as well as permission to share the data, is ongoing. To date, 36 counties have provided Geospatial Services permission to share their parcel data with the public. Parcel data for counties which do not allow Geospatial Services to redistribute their data must be obtained directly from those counties. Geospatial Services' goal is to eventually include parcel data for all counties in New York State. Parcel geometry was incorporated as received from County Real Property Departments. No attempt was made to edge-match parcels along adjacent counties. County attribute values were populated using 2023-2024 Assessment Roll tabular data the NYS ITS Geospatial Services obtained from the NYS Department of Tax and Finance’s Office of Real Property Tax Services (ORPTS). Tabular assessment data was joined to the county provided parcel geometry using the SWIS & SBL or SWIS & PRINT KEY unique identifier for each parcel. Detailed information about assessment attributes can be found in the ORPTS Assessor’s Manuals available here: https://www.tax.ny.gov/research/property/assess/manuals/assersmanual.htm. New York City data comes from NYC MapPluto which can be found here: https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-pluto-mappluto.page. Thanks to the following counties that specifically authorized Geospatial Services to share their GIS tax parcel data with the public: Albany, Cayuga, Chautauqua, Cortland, Erie, Genesee, Greene, Hamilton, Lewis, Livingston, Montgomery, NYC- Bronx, NYC- Kings (Brooklyn), NYC- New York (Manhattan), NYC- Queens, NYC- Richmond (Staten Island), Oneida, Onondaga, Ontario, Orange, Oswego, Otsego, Putnam, Rensselaer, Rockland, Schuyler, St Lawrence, Steuben, Suffolk, Sullivan, Tioga, Tompkins, Ulster, Warren, Wayne, and Westchester. Geometry accuracy varies by contributing county. This map service is available to the public. The State of New York, acting through the New York State Office of Information Technology Services, makes no representations or warranties, express or implied, with respect to the use of or reliance on the Data provided. The User accepts the Data provided “as is” with no guarantees that it is error free, complete, accurate, current or fit for any particular purpose and assumes all risks associated with its use. The State disclaims any responsibility or legal liability to Users for damages of any kind, relating to the providing of the Data or the use of it. Users should be aware that temporal changes may have occurred since this Data was created.

Town of Oneida 2005 Contours. Download size is 183 MB.

The State of Utah, including the Utah Automated Geographic Reference Center, Utah Geological Survey, and the Utah Division of Emergency Management, along with local and federal partners, including Salt Lake County and local cities, the Federal Emergency Management Agency, the U.S. Geological Survey, and the U.S. Environmental Protection Agency, have funded and collected over 8380 km² (3236 mi²) of high-resolution (0.5 or 1 meter) Lidar data across the state since 2011, in support of a diverse set of flood mapping, geologic, transportation, infrastructure, solar energy, and vegetation projects. The datasets include point cloud, first return digital surface model (DSM), and bare-earth digital terrain/elevation model (DEM) data, along with appropriate metadata (XML, project tile indexes, and area completion reports).

This 0.5-meter 2013-2014 Wasatch Front dataset includes most of the Salt Lake and Utah Valleys (Utah), and the Wasatch (Utah and Idaho), and West Valley fault zones (Utah).

Other recently acquired State of Utah data include the 2011 Utah Geological Survey Lidar dataset covering Cedar and Parowan Valleys, the east shore/wetlands of Great Salt Lake, the Hurricane fault zone, the west half of Ogden Valley, North Ogden, and part of the Wasatch Plateau in Utah.

The Southeast Idaho (Bear Lake, Caribou, Franklin, and Oneida Counties) Estimated Floodplain Feature Service displays estimated floodplains and water surface elevations (valid February 3, 2020). For additional information, please contact the Idaho State RiskMAP Coordinator Robin Kiska - rkiska@imd.idaho.gov and FEMA Region X Regional Engineer David Ratté - david.ratte@fema.dhs.gov.

This service provides an Index intended for use with the WI DNR Image Services DEM from LiDAR (Units in Meters), DEM from LiDAR (Units in Feet), and Hillshade from LiDAR, all updated last updated January 2, 2019. The Index provides information about Flight Year of source LiDAR data and Resolution of Digital Elevation Models (DEMs) and Hillshades that display in those image services, with coverage provided for 67 Wisconsin counties.Details:29 counties with 3-Meter resolution DEMs: Adams (2010), Barron (2005), Burnett (2015), Chippewa (2012), Columbia (2011), Crawford (2010/2011), Door (2002), Dunn (2008), Eau Claire (2013), Grant (2011), Green (2011), Iowa (2010), Jackson (2015), Juneau (2010), Lafayette (2011), Marathon (2012), Monroe (2010), Oconto (2005), Outagamie (2005), Pepin (2013), Pierce (2015), Polk (2015), Richland (2010), Rusk (2011), Sauk (2011), Trempealeau (2014), Vernon (2010), Waupaca (2005), & Wood (2015). 9 counties with 2-meter resolution DEMs: Brown (2010), Calumet (2005), Dodge (2005), Fond du Lac (2011), Green Lake (2009), Jefferson (2005), Racine (2010), Rock (2011), & Winnebago (2014); also the City of Oshkosh and portions of adjacent Townships (2009). 1 county with a 10-foot resolution DEM: Kewaunee (2012). 1 county with a 5-foot resolution DEM: Kenosha (2011). 24 counties with 1-meter resolution DEMs: Ashland (2014), Bayfield (2016), Buffalo (2016), Dane (2017), Douglas (2016), Florence (2017), Forest (2017), Iron (2015), La Crosse (2017), Lincoln (2015), Manitowoc (2015), Marinette (2014), Oneida (2013), Portage (2016), Saint Croix (2014), SEWRPC 2015 (including Milwaukee, Ozaukee, Walworth, Washington, & Waukesha), Shawano (2015), Sheboygan (1.5-meter DEM, 2004), Taylor (2016), & Washburn (2016). 3 counties with 2-foot resolution DEM: Waushara (2017 – Preliminary version), Langlade (2017) & Sawyer (2017). The primary source of the linework in this Index is a WI County Boundaries data layer derived from 1:24,000-scale sources. The delineations of DEM/Hillshade extent provided through this Index are approximate and may not reflect the precise extent of the source LiDAR data from which the DEMs and Hillshades are derived. For more information, visit https://dnr.wi.gov/feedback/ and choose Geographic Information Systems Data as the subject.