MIT Licensehttps://opensource.org/licenses/MIT
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The global road network traverses some 22.6 million miles (36.4 million kilometers). Placed end-to-end, the world's roads would stretch nearly a quarter of the way to the sun. This layer combines the gROADS v1 (1980-2010) data with Esri's World Roads data to present a generalized picture of the global road network.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This data layer is an overview of project locations that were included in the National Centers for Coastal Ocean Science's HABs and Hypoxia Program Review.See the HABs and Hypoxia Program Review website https://experience.arcgis.com/experience/b82102ea67ba4d4f8339baecba2aa29f
MIT Licensehttps://opensource.org/licenses/MIT
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Esri_WorldRoads_Dissolve
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This Administration feature is the single most valuable feature maintained by the GIS Services staff. It combines the maintenance of many individual polygon features in one main overall feature.It is part of a ArcGIS Topology class maintained with our parcel and zoning features in the Editing Feature Data Set.We use the shared editing capabilities of this topology class to leverage our maintenance procedures as simply as possible. Weekly, the individual features maintained with our Administration feature are created with ArcGIS dissolve function. These include Jurisdiction boundaries, Public Safety Response areas, Voting Precincts, Schools Attendance Zones, Inspections, Library Service Zones, and more.Generally, maintenance of this feature is controlled thru shared editing performed with our parcel/zoning edits with the use of the Topology features in ArcGIS. Changes to features maintained in the Administration feature are caused by a number of issues. Parcel edits, new Public Safety Stations, changes in Voting Precincts, Police Reporting districts and other changes occur often. Most changes can be facilitated by selecting one or more “Administrative” polygons and changing the appropriate attribute value. Use of the “Cut Polygon” task may be necessary in those cases where part of a polygon must be changed from a district to another. The appropriate attribute can be changed in the affected area as necessary.
Feature layer generated from running the Dissolve Boundaries solution.This layer is part of a map that shows vegetation in Grays Harbor National Wildlife Refuge. Bowerman Basin, where Grays Harbor is located, is home to unique habitat types that provide sustenance for a diversity of birds that occupy and come through the Refuge. Grays Harbor provides a unique set of diverse ecosystem that attracts different kinds of birds.This map is part of the storymap, An Incredible Journey. Every year in early May, a tranquil little dot on the Washington coastline transforms into a high-traffic north-south shorebird highway known as the Pacific Flyway. From long-distance fliers to birds that prefer a more scenic route, they all stop there because it has all the amenities that a hungry and tired bird could want. So, where is this place? It’s Grays Harbor National Wildlife Refuge, and it’s nature’s version of Grand Central Station.
Non-Industrial Timber Management Plans in the Campbell Creek planning watershed. This feature layer is intended to be used as a plan boundary.
Feature layer generated from running the Dissolve Boundaries solution.
Feature layer generated from running the Dissolve Boundaries solution.
Dissolved Oxygen data was compiled from data provided by different agencies around the Gulf of Mexico, research projects and cruises.
Data source: National Water Quality Monitoring Council (NWQMC), Environmental Protection Agency (EPA), United States Geological Survey (USGS), National Estuarine Research System (NERRS), Texas Commission on Environmental Quality (TCEQ), Florida Keys National Marine Sanctuary (FKNMS), National Park Water Services (NPWS), Louisiana Department of Environmental Quality (LDEQ), Louisiana Universities Marine Consortium (LUMCON), Mississippi Department of Environmental Quality (MDEQ), Alabama Department of Environmental Management (ADEM), Florida Department of Environmental Protection (FDEP) and Texas A&M University (TAMU).
Feature layer generated from running the Dissolve Boundaries solution.
Feature layer generated from running the Dissolve Boundaries solution.
USDA Soil Types dissolved by type (into non-contiguous areas) - https://websoilsurvey.sc.egov.usda.gov/App/WebSoilSurvey.aspxversion: 09.15.2021
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
gROADS_v1_Dissolve
Feature Service generated from running the Dissolve Boundaries solution.
Depth to groundwater: from the well driller reports submitted to the Missouri Department of Natural Resources' Missouri Geological Survey. It is intended to provide a general indication of the depth to the uppermost water level across the state.
Groundwater Elevation: from well driller reports submitted to the Missouri DNR' Missouri Geological Survey. It is contoured to display the elevation in feet relative to mean sea level.
For more information see http://dnr.mo.gov/env/wrc/grdh2o.htm
The original NIFC FIRIS fire service contains snapshots of daily fire perimeters. The boundary polygons were dissolved for each fire to create a single fire burn perimeter.Note: One of the records (mission = 2025-CALAC-009087) for Eaton was not included because "destroyed" DINS points were buffered to be included in the perimeter. These properties may not represent a burned area.Please review/check source records for any updates and accuracy.Credit: NIFC FIRISThe source of the hosted service/dataset is herehttps://services1.arcgis.com/jUJYIo9tSA7EHvfZ/ArcGIS/rest/services/CA_Perimeters_NIFC_FIRIS_public_view/FeatureServer
Counties_Outline_Dissolve
Feature layer generated from running the Enrich layer solution. MPO_Forum_Dissolve were enriched
The watersheds indicate approximate areas used for determination of the waste load (point sources) and load allocation (nonpoint sources) of each TMDL. Data are compiled by the State of Michigan Department of Environment, Great Lakes, and Energy (EGLE), Water Resources Division. At a minimum, this dataset is updated every two years after the approval of Michigan's Integrated Report (303d List). Features include a hyperlink to the applicable TMDL document, and the year of USEPA approval.Please direct questions to Molly Rippke,RippkeM@Michigan.gov.Version: November, 2020.Field NameField DescriptionTotalMaxiumumDailyLoadNameOfficial name of Total Maximum Daily Load (TMDL)TMDLCategoryCategory of parameter being addressed by the TMDLYearYear the TMDL was issued and approved by EPATMDLDocumentOfficial TMDL DocumentationTMDLIDOfficial TMDL IdentifierImpairedDesignatedUse1Primary designated use that is impaired and being addressed by the TMDLImpairedDesignatedUse2Additional designated use that is impaired and being addressed by the TMDLCauseOfImpairment1Parameter causing the primary designated use impairmentCauseOfImpairment2Parameter causing the additional designated use impairmentEPAIDOfficial EPA TMDL IdentifierUniqueIDUnique identifier used to differentiate TMDLs within the same categoryStatusEPA approval status of TMDL
Maine County Boundary Polygons Dissolved contains county boundary polygons for all sixteen counties in Maine, mapped at the 1:24,000 scale. "Dissolved" means that counties with multiple disconnected entities (ex. islands) are grouped as multipart polygons in a single geometry with the appropriate county label and attribute data. This approach reduces the number of labels required and improves layer drawing performance for low-bandwidth environments. The data layer has polygon topology and was originally created in ArcInfo using METWP24P with a selection on arcs coded "TYPE = state, county, and coastline".
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
The global road network traverses some 22.6 million miles (36.4 million kilometers). Placed end-to-end, the world's roads would stretch nearly a quarter of the way to the sun. This layer combines the gROADS v1 (1980-2010) data with Esri's World Roads data to present a generalized picture of the global road network.