Surficial geology of Rock County, Minnesota. Part of the Minnesota Geologic Atlas program, Part A.

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.

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.

This map features satellite imagery for the world and high-resolution aerial imagery for many areas. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Imagery map service description.

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.

Geospatial data about Williamson County Line. Export to CAD, GIS, PDF, CSV and access via API.

Data Frame layer that includes the data and interpretations for the bedrock geology of Rock County and went into the publication of the Rock County Geologic Atlas, Part A. Additional information not on the published maps is provided in the c47_dvd\bedrock_ancillary_content folder, including geophysical models and a read-me file explaining the extra content.

Sewer Service Areas in Rock County Wisconsin.

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 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 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.

This web map references the live tiled map service from the OpenStreetMap project. OpenStreetMap (OSM) is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information such as free satellite imagery, and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap server: http://www.OpenStreetMap.org. See that website for additional information about OpenStreetMap. It is made available as a basemap for GIS work in Esri products under a Creative Commons Attribution-ShareAlike license.Tip: This service is one of the basemaps used in the ArcGIS.com map viewer and ArcGIS Explorer Online. Simply click one of those links to launch the interactive application of your choice, and then choose Open Street Map from the Basemap control to start using this service. You'll also find this service in the Basemap gallery in ArcGIS Explorer Desktop and ArcGIS Desktop 10.

This map is designed to be used as a basemap by marine GIS professionals and as a reference map by anyone interested in ocean data. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the Ocean Basemap.

This map is designed to focus attention on your thematic content by providing a neutral background with minimal colors, labels, and features. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the Light Gray Base and Light Gray Reference.

The Modern Antique Map (World Edition) web map provides a world basemap symbolized with a unique antique styled map, with a modern flair -- including the benefit of multi-scale mapping. The comprehensive map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This basemap, included in the ArcGIS Living Atlas of the World, uses the Modern Antique vector tile layer and World Hillshade.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

This layer contains the Extra-Territorial Jurisdiction (ETJ) boundaries in the City of Round Rock, located in Williamson County, Texas. This layer is part of an original dataset provided and maintained by the City of Round Rock GIS/IT Department. The data in this layer are represented as polygons.An Extra-Territorial Jurisdiction (ETJ) is the legal capability of a municipality to exercise authority beyond the boundaries of its incorporated area. In the US, Texas is one of the many states that allow cities to claim ETJ to contiguous land beyond their city limits.The data in this layer is isolated from the ETJ - Williamson County layer to include only the ETJ that applies to the City of Round Rock.

This Webmap was created for the City of Round Rock Finance department to show the all future capital improvement projects by department projected to occur between years 2021 - 2025.This web map contains the Future Capital Improvement Plan 2021-2025 in the City of Round Rock, located in Williamson County, Texas. This web map is part of an original dataset provided and maintained by the City of Round Rock GIS/IT Department. The data in this map are represented as points and polygons.All of the Capital Improvement Plan Projects are scheduled to be built over a 5 year period. The purpose of the layers included in this web app is to provide department directors with the ability to view current and upcoming Capital Improvement Plan Projects all together so that overlapping projects from different departments can be appropriately planned. Once a year, in March, department directors meet to discuss the CIP and talk about future plans. The Web app to compliment this app can be found at : Future CIP 2021 - 2015

This feature class was created by "stitching" together the land use plans as provided by the towns in their Comprehensive Plan updates for Comprehensive Plan 2035. This is a general overview and does not supercede the plans as adopted by the towns

This layer contains the data for the streets in the City of Round Rock and surrounding municipalities, located in Williamson County, Texas. This layer is part of an original dataset provided and maintained by the City of Round Rock GIS/IT Department. The data in this layer are represented as lines. Some streets in this layer are separated into segments for planning and other data analysis purposes. Please see the Streets (Merged) layer for consolidated streets data (https://corr.maps.arcgis.com/home/item.html?id=b388af2dee46443d98c36d3931057f4e#overview)This layer contains many street types such as private roads, residential roads, highways, freeways, toll roads, and others. There is also data attached to each street segment about the respective city, county, and zip code.

Nevada Bureau of Mines and Geology Map-146; A 1:24,000-scale, full-color map of the Fraser Flat Quadrangle and the west half of the Moses Rock Quadrangle in southern Washoe County with three cross sections and descriptions of 60 units. The GIS work was in support of the U. S. Geological Survey COGEOMAP program. Detailed geologic mapping by Larry J. Garside, Stephen B. Castor, Craig M. dePolo, and David A. Davis, with a section on aeromagnetic lineament analysis, Warm Springs Valley, by Michael C. Widmer. Previous geologic mapping in the area includes a 1:250,000-scale geologic map of Washoe County (Bonham and Papke, 1969) and a somewhat more modern map of similar scale (Green and others, 1991). A generalized geologic map of the Warm Springs Valley area was prepared as part of a gravity study (Gimlett, 1967), and parts of the area have been mapped in association with a dissertation or thesis (Wallace, 1975; Fontaine, 1997). We thank our colleagues at the NBMG, particularly C.D. Henry and J.E Faulds, for many discussions on the geology of the region. In particular, figure 3 benefited from previous illustrations by Faulds and Henry. We also wish to acknowledge the many landowners in the map area who allowed access for the mapping. Geologic mapping was supported by the STATEMAP program of the U.S. Geological Survey (Agreement 98-HQ-AG-2036). R. Chaney and J. Hursh (NBMG) are thanked for cartography and typesetting, and D. Meeuwig and S. Tingley (NBMG) for editorial review. Base map: U. S. Geological Survey Fraser Flat 7.5-minute quadrangle, 1989. To download this map PDF resource and associated map report, map geologic units, and GIS zip file data set, please see the links provided.