Download .zipThe Ohio Wetlands Inventory is based on analysis of satellite data by Bruce R. Motsch and Gary M. Schaal and is intended solely as an indicator of wetland sites for which field review should be conducted. The satellite data reflect conditions during the specific year and season the data was acquired and all wetlands may not be indicated. Statistics generated from the inventory are intended solely as an approximation.

The Ohio Wetlands Inventory for Richland County was produced from April 1987 Landsat Thematic mapper data (cell size 30 meters by 30 meters) using ERDAS Image processing software. The raster data has been converted to ARC/INFO format and exported to an interchange file.

The data was originally georeferenced to UTM zone 17 coordinates NAD 27 and is also available in this coordinate system in ERDAS Imagine format.

The class of woods on hydric soils, wet meadow and farmed wetland fall on hydric soils when digital soils data is available for the county.

Original coverage data was converted from the .e00 file to a more standard ESRI shapefile(s) in November 2014.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

This resource is a member of a series. 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) System (MTS). The MTS 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. The All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

This resource is a member of a series. 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) System (MTS). The MTS 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. The All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

Download .zipThis coverage was created from general zoning categories delineated on USGS quadrangle maps by the Richland County Regional Planning Commission.

The coverage was digitized from these maps utilizing a run length encoding technique sampling along horizontal lines which represented the midline of cells with a height of 250 ft. The measurement increment along these horizontal lines was one decafoot (10 feet). The quadrangle files were then merged into a county file which was subsequently converted to ARC/INFO format.

The user should bear in mind that this coverage is only an approximation of the boundaries as originally drafted . Additional details on the digitizing process are available on request.

Original coverage data was converted from the .e00 file to a more standard ESRI shapefile(s) in November 2014.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

Download .zipA soil mapping unit designates a specific type of soil which has unique characteristics including texture, slope, and erosion class.

These soils were digitized from the paper final soil survey sheets. These sheets were taped together to form an area covering each of the USGS 7.5 minute quadrangle maps in the county. The areas for each quadrangle were then digitized using run-length encoding technique sampling along horizontal lines which represented the midline of cells with a height of 250 feet. The measurement increment along these lines was one decafoot (10 feet). The quadrangle files were then merged into a county file which has subsequently been converted to Arc/Info format.

The user should bear in mind that this coverage is only an approximation of the soil survey and should not be used for site specific analysis.

Additional details of the digitizing process are available upon request.

Original coverage data was converted from the .e00 file to a more standard ESRI shapefile(s) in November 2014.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

Download .zipThis ground-water resources theme shows an estimate of sustainable yield available from the aquifers in the area. It was digitized from a paper county map with a scale of 1:63360.

Digitizing used run length encoing techniques sampling along horizontal lines which represented the midline of cells with a height of 250 feet. The horizontal measurement increment was one decafoot (10 feet). Additional details of the digitizing process are available on request. The coverage was susequently converted to Arc/Info vector format.

Original coverage data was converted from the .e00 file to a more standard ESRI shapefile(s) in November 2014.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

Download .zipThis coverage was extracted from the 1994 statewide land cover inventory of Ohio produced by Bruce R. Motsch and Gary M. Schaal of the Ohio Department of Natural Resources.

The land cover inventory for the State of Ohio was produced by the digital image processing of Landsat Thematic Mapper Data. The Thematic Mapper is a multi-spectral scanner that collects electromagnetic radiation reflected from the earth's surface in the visible, near infrared and mid-infrared wavelength bands. The resolution of the Thematic Mapper data is a 30 meter by 30 meter cell. The computer analysis of the data isolates unique spectral classes that relate to land cover characteristics.

The land cover inventory was produced from Thematic Mapper data acquired in September and October 1994. The data was classified into the general land cover categories of urban, agriculture/open urban areas, shrub/scrub, wooded, open water, non-forested wetlands and barren.

The land cover information reflects the conditions of the satellite data during the specific year and season the data was acquired. The Thematic Mapper data was processed using ERDAS image processing software. The data was originally created in raster format and georeferenced to Universal Transverse Mercator (UTM) zone 17 coordinates NAD27. The data can be combined with other georeferenced digital data layers.

The data is also available in its original ERDAS image format.

Original coverage data was converted from the .e00 file to a more standard ESRI shapefile(s) in November 2014.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

Download .zipMaps and data associated with oil-and-gas wells represent one of the largest datasets at the Ohio Department of Natural Resources. This GIS data layer contains all the locatable oil-and-gas wells in Ohio. The feature is derived from coordinates obtained from the Division of Oil and Gas Resources Management (DOGRM) oil and gas well database – Risk Based Data Management System (RBDMS). The RBDMS database has a long history and is a comprehensive collection of well data from historic pre-1980 paper well records (digitized by the Division of Geological Survey (DGS)) to post-1980 DOGRM database solutions.Since 1860, it is estimated that more than 267,000 oil-and-gas wells have been drilled in Ohio. The compressed file also includes a feature used to connect the surface location to the bottom location of a well that has been drilled directionally or horizontally. This feature is NOT the actual wellbore path, it is simply a graphical representation indicating the relationship between the two well points.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Oil & Gas ResourcesOil and Gas Resources Management2045 Morse Road Bldg F-2Columbus, OH, 43229-6693Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

These data were automated to provide an accurate high-resolution historical shoreline of Columbia River, Pasco to Richland, Washington suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. 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

Fire and EMS Districts dataset current as of 2007. Richland Co Fire Districts.

Geospatial data about Douglas County, Nebraska Schools. Export to CAD, GIS, PDF, CSV and access via API.

Download .zipThe analysis was completed by combining the Natural Resources Conservation Service (NRCS) limitations for area type sanitary landfills with drift thickness, ground-water availability, flooding potential, glacial geology, and land use to determine limitations for sanitary landfills. These factors are listed in order of increasing severity based on the degree of ease or cost in overcoming their associated limitations. The NRCS has rated the soils in Richland County based on the following criteria: high water table (ponding, wetness) and slope.

The soils used in this analysis were digitized from the paper final soil survey field sheets. These sheets were taped together to form an area covering each of the USGS 7.5 minute quadrangle maps in the county. The areas for each quadrangle were then digitized using run-length encoding technique sampling along horizontal lines which represented the midline of cells with a height of 250 feet. The measurement increment along these lines was one decafoot (10 feet). The quadrangle files were then merged into a county file which has subsequently been converted to Arc/Info format.

The user should bear in mind that this coverage is only an approximation of the soil survey and should not be used for site specific analysis.

Additional details of the digitizing process are available upon request.

Original coverage data was converted from the .e00 file to a more standard ESRI shapefile(s) in November 2014.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

Geospatial data about Douglas County, Nebraska Fire Stations. Export to CAD, GIS, PDF, CSV and access via API.

Download .zipGroundwater Vulnerability is an evaluatation of an area’s vulnerability to groundwater contamination based upon its hydrogeologic, topographic, and soil media characteristics.Contact Information:Geological Survey, Customer ServiceOhio Department of Natural ResourcesDivision of Geological SurveyGeologic Records2045 Morse RoadColumbus, OH, 43229-6693Telephone: 614-265-6576Email: geo.survey@dnr.ohio.gov

Download .zipA potentiometric surface map is a contour map that represents the top of the ground water surface in an aquifer. The contour lines illustrate the potentiometric surface much like the contour lines of a topographic map represent a visual model of the ground surface. A potentiometric surface map is very similar to a water table map in that both show the horizontal direction and gradient of ground water flow.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Geological Survey2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6693Email: gis.support@dnr.ohio.gov

This layer contains pre-processed address points for Richland County, North Dakota that can be added to OpenStreetMap.Data SourceThe address points were downloaded in June 2020 from the ArcGIS Hub Open Data site.There are 7,608 total address points. Of these, 7,588 addresses are not already represented as points in OSM and can be added. Features where Import_2_OSM = 1 can be added to OpenStreetMap.1 - no OSM conflict, and can be added2 - address point already exists in OSM and should not be added4 - point has no street address number and should not be added to OSMFeatures with an Import_2_OSM value of 1 (i.e. Import features, shown in Green) have no conflict and can be added to OSM. Features with an Import_2_OSM value of 2 (i.e. No Import features, shown in Red) conflict with existing addresses and should not be added. The layer is currently configured to only display the features that have no conflict and can be added to OSM.OSM Editor ToolsThis layer is accessible through new tools in OSM editors (e.g. updated version of RapiD) that enable OSM mappers to display the features on a map, select an individual feature to inspect its geometry and tags, and then use the feature for editing. OSM mappers should review the individual features and tags, and make any edits and additions that are appropriate, before selecting other features to edit and uploading edits to OSM.

DownloadTo download the source imagery of this basemap, see the Atlas Dataset page.MetadataCollection date: February 25 to March 21, 2016Resolution: 6 inchesCoverage: Richland Parish, LouisianaDownloadable data format: MrSidAdditional metadata: richland_parish_6in_RPAO_2016_metadata.xmlNotesThis dataset contains six-inch orthoimagery of Richland Parish, Louisiana. The aerial photographs were taken in late February to early March 2016, covering the entire parish. The images are in MrSID MG2 format with three bands. The downloadable MrSid files are projected in NAD1983 State Plane Louisiana North FIPS 1701 (feet, WKID: 3451), while the web service has been projected to Web Mercator. The dataset was provided to Atlas by the Richland Parish Assessor’s Office, and is distributed by Atlas under a Creative Commons Attribution-ShareAlike license.

Download .zipThe analysis combines the Natural Resources Conservation Service limitations for septic tank absorption fields with land use and a 100 foot buffer around open water. The NRCS rated soils in Richland County for the following criteria: total subsidence, evidence of past flooding, depth to bedrock (depth to rock, thin layer, seepage) depth to high water table (ponding, wetness), permeability (percs slowly, poor filter), and slope.

The soils used in this analysis were digitized from the paper final soil survey field sheets. These sheets were taped together to form an area covering each of the USGS 7.5 minute quadrangle maps in the county. The areas for each quadrangle were then digitized using run-length encoding technique sampling along horizontal lines which represented the midline of cells with a height of 250 feet. The measurement increment along these lines was one decafoot (10 feet). The quadrangle files were then merged into a county file which has subsequently been converted to Arc/Info format.

The user should bear in mind that this coverage is only an approximation of the soil survey and should not be used for site specific analysis.

Additional details of the digitizing process are available upon request.

Original coverage data was converted from the .e00 file to a more standard ESRI shapefile(s) in November 2014.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

Columbia-Richland Fire Department serves the citizens of Columbia and Richland County. Fire stations are strategically located throughout the City and the County.

The data was collected from local jurisdictions in the state and then assembled into a single dataset. The attributes were generalized to a set of comp plan codes that could be applied to data from all jurisdictions. The list of state comp plan codes and their descriptions can be found in this metadata. Please contact the local jurisdictions for the more detailed (not generalized) data. As of May 31, 2019 this feature class contains comprehensive plan data from 189 local jurisdictions. DLCD plans to continue adding to and updating this statewide comp plan dataset as they receive information from the local jurisdictions. New releases of this data by DLCD are planned for publication every 2 years. Note: This data layer has gaps in the data and is not complete for the entire state of Oregon. Participating cities and counties are listed below. City data included:Adams, Adrian, Albany, Amity, Arlington, Ashland, Athena, Aumsville, Aurora, Baker City, Bandon, Bay City, Bend, Burns, Canby, Cannon Beach, Canyonville, Carlton, Cave Junction, Central Point, Clatskanie, Coburg, Columbia City, Condon, Coos Bay, Corvallis, Cottage Grove, Creswell, Culver, Dallas, Depoe Bay, Detroit, Donald, Dufur, Dundee, Dunes City, Eagle Point, Enterprise, Eugene, Falls City, Florence, Garibaldi, Gaston, Gates, Gearhart, Gervais, Glendale, Gold Hill, Grants Pass, Grass Valley, Haines, Harrisburg, Hermiston, Hines, Hubbard, Huntington, Idanha, Independence, Jacksonville, Jefferson, Jordan Valley, Joseph, Junction City, Keizer, La Pine, Lafayette, Lakeview, Lebanon, Lincoln City, Lostine, Lowell, Lyons, Madras, Malin, Manzanita, Maupin, Medford, Metolius, Mill City, Millersburg, Milton-Freewater, Monmouth, Mosier, Mt. Angel, Myrtle Creek, Nehalem, Newberg, Newport, North Bend, Nyssa, Oakridge, Ontario, Paisley, Philomath, Phoenix, Prineville, Redmond, Richland, Riddle, Rockaway Beach, Rogue River, Roseburg, Salem, Scappoose, Scio, Scotts Mills, Seaside, Seneca, Shady Cove, Shaniko, Sheridan, Silverton, Sisters, Sodaville, St. Helens, St. Paul, Stanfield, Stayton, Sublimity, Sweet Home, Talent, Tangent, The Dalles, Tillamook, Turner, Umatilla, Vale, Veneta, Vernonia, Wallowa, Westfir, Wheeler, Willamina, Woodburn and all the cities in Metro.County data included:Baker, Benton, Clackamas, Clatsop, Columbia, Coos, Crook, Deschutes, Douglas, Grant, Harney, Hood River, Jackson, Jefferson, Josephine, Klamath, Lake, Lane, Linn, Malheur, Marion, Multnomah, Polk, Tillamook, Umatilla, Wallowa, Wasco, Washington and Yamhill