U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This U.S. Geological Survey (USGS) data release provides a digital geospatial database for the geologic map of the White Rock Canyon quadrangle, Carbon County, Wyoming (Hyden and others, 1968). Attribute tables and geospatial features (points, lines and polygons) conform to the Geologic Map Schema (GeMS, 2020) and represent the geologic map as published in USGS Geologic Quadrangle Map GQ-789. The 35,758-acre map area represents the geology at a publication scale of 1:24,000. References: Hyden, H.J., Houston, R.S., and King, J.S., 1968, Geologic map of the White Rock Canyon quadrangle, Carbon County, Wyoming: U.S. Geological Survey, Geologic Quadrangle Map GQ-789, scale 1:24,000, https://doi.org/10.3133/gq789. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10.
County local coordinates and Monument Records for the Public Land Survey System monuments that serve as the foundation of the County GIS program in compliance with Wisconsin Administrative Code SS 7.08 and Wisconsin State Statute SS 59.45(1)2
Transmission Lines or Poles, Electric dataset current as of 2006. This is an ESRI feature class of American Transmission Company's Rock County electrical lines..
Electric Substations dataset current as of 2006. This is a ESRI feature class of American Transmission Company's Rock County electrical sub station sites.
Aerial Photography and Imagery, Ortho-Corrected dataset current as of 1993. 1993 1 meter resolution 7.5 minute quadrangle.
Points indicating probably of water-bearing materials 5 feet thick or greater and dominantly sand and/or gravel. If not present around wells, the water-bearing areas are typically less than 5 feet thick or are not dominantly sand and/or gravel. Probability points extend down in 5ft increments if data exists.
Geospatial data about Williamson County Line. Export to CAD, GIS, PDF, CSV and access via API.
This data release includes the data used to generate histograms that compared total watershed pollutant removal efficiency (TWPRE) in the two study watersheds Crystal Rock (traditional watershed) and Tributary (Trib.) 104 low impact development (LID watershed) to determine if LID BMP design offered an improved water quality benefit. Input/calibrants data used in the model (Monte Carlo) are described in the manuscript as mentioned in the list below: -BMP Name and Type: references in the manuscript -BMP Connectivity: Proprietary (derived from Montgomery County GIS Data) -BMP Drainage Areas: Proprietary (derived from Montgomery County GIS Data) -BMP Efficiency Ranges: referenced in manuscript -Baseline Pollutant Loadings: referenced in manuscript Stormwater runoff and associated pollutants from urban areas in the Chesapeake Bay Watershed represent a serious impairment to local streams and downstream ecosystems, despite urbanized land comprising only 7% of the Bay watershed area. Excess nitrogen, phosphorus, and sediment affect local streams in the Bay watershed by causing problems ranging from eutrophication and toxic algal blooms to reduced oxygen levels and loss of biodiversity. Traditional management of urban stormwater has primarily focused on directing runoff away from developed areas as quickly as possible. More recently, stormwater best management practices (BMPs) have been implemented in a low impact development (LID) manner on the landscape to treat stormwater runoff closer to its source.The objective of this research was to use a modeling approach to compare total watershed pollutant removal efficiency (TWPRE) of two watersheds with differing spatial patterns of SW BMP design (traditional and LID), and determine if LID SW BMP design offered an improved water quality benefit.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This U.S. Geological Survey (USGS) data release provides a digital geospatial database for the geologic map of Precambrian metasedimentary rocks of the Medicine Bow Mountains, Albany and Carbon Counties, Wyoming (Houston and Karlstrom, 1992). Attribute tables and geospatial features (points, lines and polygons) conform to the Geologic Map Schema (GeMS, 2020) and represent the geologic map plates as published at a scale of 1:50,000. The 358,697-acre map area includes the geologically complex Medicine Bow Mountains located 30 miles (48 kilometers) west of Laramie in southeastern Wyoming. References: Houston, R.S., and Karlstrom, K.E., 1992, Geologic map of Precambrian metasedimentary rocks of the Medicine Bow Mountains, Albany and Carbon Counties, Wyoming: U.S. Geological Survey, Miscellaneous Investigations Series Map I-2280, scale 1:50,000, https://doi.org/10.3133/i2280. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A sta ...
Use the app to find the downloadable area within Jackson County - 2 Foot Contour MapThe 2-foot Contour Map shows contours that were derived from several different LiDAR projects in the Rogue Valley over the last 10 years. The map can be used to both download and view the contour data. To use the map, search or zoom in to an address. When zoomed in to a specific scale, the map will change from the downloadable areas layer to 2-foot interval contour lines. The LiDAR Project Dates layer can be used to identify the date when the elevation was collected in an area. Please note that data is available only for the valley floor areas at this time.The 2ft contours were created from 1-meter pixel DEM and then cleaned to remove very small elevation changes and to create a smooth contour line. This information should not be used to create topographic surveys or other applications where the precise elevation of a location is required. For additional information on LiDAR in Oregon or to download the source data, please visit the DOGAMI Lidar Viewer.The downloadable data is a zipped ESRI Shapefile and is projected to Oregon State Plane South (Intl Feet) with NAD 1983 datum.
Oil Pipelines dataset current as of 2005. This is an ESRI feature class of Enbridge Energy's Rock County crude oil lines..
This dataset is a compilation of address point data from Minnesota suppliers that have opted-in for their address point data to be included in this dataset.
It includes the following 44 suppliers that have opted-in to share their data openly as of the publication date of this dataset: Aitkin County, Anoka County, Benton County, Carver County, Cass County, Chippewa County, Chisago County, Clay County, Cook County, Dakota County, Douglas County, Fillmore County, Grant County, Hennepin County, Houston County, Isanti County, Itasca County, Koochinching County, Lac qui Parle County, Lake County, Le Sueur County, Lyon County, Marshall County, McLeod County, Morrison County, Mower County, Murray County, Otter Tail County, Pipestone County, Polk County, Pope County, Ramsey County, Renville County, Rock County, Saint Louis County, Scott County, Sherburne County, Stearns, Stevens County, Waseca County, Washington County, Wright County, and Yellow Medicine County.
The two sources of address point data are the Minnesota Next Generation 9-1-1 (NG9-1-1) Program, in collaboration with local data suppliers, and the MetroGIS Metro Address Points Dataset which is on the Minnesota Geospatial Commons:
The Minnesota NG9-1-1 Program enterprise database provides the data outside of the Metro Region which is provide by the suppliers. The data have been aggregated into a single dataset which implements the MN NG9-1-1 GIS Data Model (https://ng911gis-minnesota.hub.arcgis.com/documents/79beb1f9bde84e84a0fa9b74950f7589/about ).
Only data which have meet the requirements for supporting NG9-1-1 are in the statewide aggregate GIS data. MnGeo extracts the available data, applies domain translations, and transforms it to UTM Zone 15 to comply with the GAC Address Point attribute schema: https://www.mngeo.state.mn.us/committee/address/address_standard.html.
The MetroGIS Metro Address Points Dataset was created by a joint collaborative project involving the technical and managerial GIS staff from the ten Metropolitan Counties (Anoka, Carver, Chisago, Dakota, Hennepin, Isanti, Ramsey, Scott, Sherburne, and Washington), the Metropolitan Emergency Services Board, MetroGIS and the Metropolitan Council. The data are pulled in from the Minnesota Geospatial Commons: https://gisdata.mn.gov/dataset/us-mn-state-metrogis-loc-address-points
‘Supplier’ is a term used throughout this document. A supplier will typically be a county, but it could also be a public safety answering point (PSAP), region, or tribal nation. The supplier is the agency which provides the individual datasets for the aggregated dataset. The loc_addresses_open_metadata feature layer will contain the geometry/shape of the supplier boundaries, supplier name, supplier type, and feature count.
Aggregation Process:
1. Transfer NG9-1-1 data from the DPS Enterprise database.
2. Download the latest data from the Geospatial Commons for MetroGIS.
3. Extract, Translate, and Load (ETL) the data to the GAC Address Point Standard schema.
4. Combine NG9-1-1 data with MetroGIS data.
5. Filter the data for the Opt-In suppliers
Surficial geology of Rock County, Minnesota. Part of the Minnesota Geologic Atlas program, Part A.
The ZIP file consist of GIS files with information about the excavations, findings and other metadata about the archaeological survey.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This data release includes the data used to generate sewershed "bubble plots" that compared pollutant removal efficiency (PRE) in each sewershed in the two study watersheds Crystal Rock (traditional watershed) and Tributary (Trib.) 104 low impact development (LID watershed) to determine if LID BMP design offered an improved water quality benefit as compared on a sewershed basis.
Input/calibrants data used in the model (Monte Carlo) are described in the manuscript as mentioned in the list below:
-BMP Name and Type: references in the manuscript
-BMP Connectivity: Proprietary (derived from Montgomery County GIS Data)
-BMP Drainage Areas: Proprietary (derived from Montgomery County GIS Data)
-BMP Efficiency Ranges: referenced in manuscript
-Baseline Pollutant Loadings: referenced in manuscript
Stormwater runoff and associated pollutants from urban areas in the Chesapeake Bay Watershed represent a serious impairment to local streams and downstream ecosystems, despite urbanized ...
Geospatial data about Loudoun County, Virginia Rock Class. Export to CAD, GIS, PDF, CSV and access via API.
This map features shaded relief imagery, bathymetry and coastal water features that provide neutral background with political boundaries and placenames for reference purposes. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Hillshade and Terrain with Labels.
This dataset is a compilation of road centerline data from Minnesota suppliers that have opted-in for their road centerline data to be included in this dataset.
It includes the following 43 suppliers that have opted-in to share their data openly as of the publication date of this dataset: Aitkin County, Anoka County, Benton County, Carver County, Cass County, Chippewa County, Chisago County, Clay County, Cook County, Dakota County, Douglas County, Fillmore County, Hennepin County, Houston County, Isanti County, Itasca County, Koochinching County, Lac qui Parle County, Lake County, Le Sueur County, Lyon County, Marshall County, McLeod County, Morrison County, Mower County, Murray County, Otter Tail County, Pipestone County, Pope County, Polk County, Ramsey County, Renville County, Rock County, Saint Louis County, Scott County, Sherburne County, Stearns, Stevens County, Waseca County, Washington County, Wright County, and Yellow Medicine County.
The two sources of road centerline data are the Minnesota Next Generation 9-1-1 (NG9-1-1) Program, in collaboration with local data suppliers, and the MetroGIS Road Centerlines (Geospatial Advisory Council Schema) which is on the Minnesota Geospatial Commons:
The Minnesota NG9-1-1 Program enterprise database provides the data outside of the Metro Region which is provide by the suppliers. The data have been aggregated into a single dataset which implements the MN NG9-1-1 GIS Data Model (https://ng911gis-minnesota.hub.arcgis.com/documents/79beb1f9bde84e84a0fa9b74950f7589/about ).
Only data which have meet the requirements for supporting NG9-1-1 are in the statewide aggregate GIS data. MnGeo extracts the available data, applies domain translations, and transforms it to UTM Zone 15 to comply with the GAC road centerline attribute schema: https://www.mngeo.state.mn.us/committee/standards/roadcenterline/index.html.
The MetroGIS Road Centerlines data was created by a joint collaborative project involving the technical and managerial GIS staff from the the Metropolitan Counties (Anoka, Carver, Chisago, Dakota, Hennepin, Isanti, Ramsey, Scott, Sherburne, and Washington), the Metropolitan Emergency Services Board, MetroGIS and the Metropolitan Council. The data are pulled from the Minnesota Geospatial Commons: https://gisdata.mn.gov/dataset/us-mn-state-metrogis-trans-road-centerlines-gac
‘Supplier’ is a term used throughout this document. A supplier will typically be a county, but it could also be a public safety answering point (PSAP), region, or tribal nation. The supplier is the agency which provides the individual datasets for the aggregated dataset. The trans_road_centerlines_open_metadata feature layer will contain the geometry/shape of the supplier boundaries, supplier name, supplier type, and feature count.
Aggregation Process:
1. Extract NG9-1-1 data from the Department of Public Safety (DPS) Enterprise database.
2. Download the latest MetroGIS data from the Geospatial Commons.
3. Extract, Translate, and Load (ETL) the DPS data to the GAC schema.
4. Combine NG9-1-1 data with MetroGIS data.
5. Filter the data for the Opt-In Open data counties
This topographic map is designed to be used as a basemap and a reference map. The map has been compiled by Esri and the ArcGIS user community from a variety of best available sources. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Hillshade and World Topographic Map.
This map provides a detailed basemap for the world featuring a custom night time street map style. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Street Map (Night).
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This U.S. Geological Survey (USGS) data release provides a digital geospatial database for the geologic map of the White Rock Canyon quadrangle, Carbon County, Wyoming (Hyden and others, 1968). Attribute tables and geospatial features (points, lines and polygons) conform to the Geologic Map Schema (GeMS, 2020) and represent the geologic map as published in USGS Geologic Quadrangle Map GQ-789. The 35,758-acre map area represents the geology at a publication scale of 1:24,000. References: Hyden, H.J., Houston, R.S., and King, J.S., 1968, Geologic map of the White Rock Canyon quadrangle, Carbon County, Wyoming: U.S. Geological Survey, Geologic Quadrangle Map GQ-789, scale 1:24,000, https://doi.org/10.3133/gq789. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10.