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Vector polygon map data of mileposts from the state of Ohio containing 19608 features.
Milepost GIS data consists of points along a linear feature, such as roads or railways. They serve as reference points to measure distances along these features. Mile markers are often labeled with numbers indicating their distance from a starting point, such as a highway's origin or a railway station.
These mileposts are invaluable for navigation, route planning, emergency response, and data collection. For example, they help drivers and emergency services identify their location precisely on a road. In transportation planning, mile markers aid in analyzing traffic patterns, determining optimal routes, and estimating travel times. Additionally, they facilitate maintenance activities by providing clear reference points for inspecting and repairing infrastructure.
This data is available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.
The United States Public Land Survey (PLS) divided land into one square
mile units, termed sections. Surveyors used trees to locate section corners
and other locations of interest (witness trees). As a result, a systematic
ecological dataset was produced with regular sampling over a large region
of the United States, beginning in Ohio in 1786 and continuing westward.
We digitized and georeferenced archival hand drawn maps of these witness
trees for 27 counties in Ohio. This dataset consists of a GIS point
shapefile with 11,925 points located at section corners, recording 26,028
trees (up to four trees could be recorded at each corner). We retain species
names given on each archival map key, resulting in 70 unique species common
names. PLS records were obtained from hand-drawn archival maps of original
witness trees produced by researchers at The Ohio State University in the
1960’s. Scans of these maps are archived as “The Edgar Nelson Transeau Ohio
Vegetation Survey” at The Ohio State University: http://hdl.handle.net/1811/64106.
The 27 counties are: Adams, Allen, Auglaize, Belmont, Brown, Darke,
Defiance, Gallia, Guernsey, Hancock, Lawrence, Lucas, Mercer, Miami,
Monroe, Montgomery, Morgan, Noble, Ottawa, Paulding, Pike, Putnam, Scioto,
Seneca, Shelby, Williams, Wyandot. Coordinate Reference System:
North American Datum 1983 (NAD83). This material is based upon work supported by the National Science Foundation under grants #DEB-1241874, 1241868, 1241870, 1241851, 1241891, 1241846, 1241856, 1241930.
This layer is sourced from gis.odot.state.or.us.
Oregon State Highways
© Oregon Department of Transportation
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Climate data--including 30-Year-normal data--provided by PRISM Climate Group at Oregon State University. Data is in raster formats.
The Transboundary Freshwater Dispute Database, developed and maintained by the OSU College of Earth, Ocean, and Atmospheric Sciences, in collaboration with the Northwest Alliance for Computational Science and Engineering. There are six main components of the database: Data contains both global and regional information in searchable tabular and spatial datasets, treaty and compact libraries, and GIS shapefiles available for download. Research and Projects includes completed and ongoing projects and links to projects either conducted at or collaborated with Oregon State University faculty and students. Bibliographies and Digital Collections contains the Water Conflict and Cooperation Bibliography and the Middle East Water Collection of scholarly papers ranging from the historic perspective to the present day. Publications includes papers and books related to water conflict and/or cooperation, with links to download. Map and Image Gallery features maps and images for download created by current and former students and faculty, as well as collaborating partners. Useful Resources and External Links is a list of related water conflict and cooperation websites. Wide use of electronic and hardcopy versions of data, GIS coverages, and findings produced by the Transboundary Freshwater Dispute Database (TFDD) project is encouraged. License information: Product of the Transboundary Freshwater Dispute Database, College of Earth, Ocean, and Atmospheric Sciences, Oregon State University. Additional information about the TFDD can be found at: http://transboundarywaters.science.oregonstate.edu.
CommunityCenter2019
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Download .zipTo show the location and spatial extent of State of Ohio lands managed by the Ohio Department of Natural Resources 2016Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesOffice of Information TechnologyGIS Records2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov
This theme shows the jurisdictional and cartographic state perimeters for Oregon in the Oregon Lambert Projection.
Oregon Parks and Recreation Department makes no warranty as to the accuracy of this data. Questions regarding the legal ownership and boundaries of real property should be directed to individual counties and to the OPRD Property Management Division This product is for informational purposes and may not have been prepared for, or be suitable for legal, engineering, or surveying purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information.
Geospatial data about Lane County, Oregon State Representatives. Export to CAD, GIS, PDF, CSV and access via API.
This report publishes a geologic digital spatial database (ORGEO) for the geologic map of Oregon by Walker and MacLeod (1991) which was originally printed on a single sheet of paper at a scale of 1:500,000 and accompanied by a second sheet for map unit descriptions and ancillary data. The spatial digital database (GIS) provided in this report supersedes an earlier digital edition by Raines and others (1996).
This is a dataset download, not a document. The Open button will start the download.This data represents the map extent for current and historical USGS topographic maps for the United States and Territories, including 1 X 2 Degree, 1 X 1 Degree, 30 X 60 Minute, 15 X 15 Minute, 7.5 X 7.5 Minute, and 3.75 X 3.75 Minute. The grid was generated using ESRI ArcInfo GIS software.
Scenic Waterway Courses
Wetland Priority Sites for the Willamette Valley Basin, Version 20090812 (Aug 12, 2009) Oregon Natural Heritage Information Center and The Wetlands Conservancy (TWC) have created a GIS layer for the Willamette Valley that identifies areas with concentrations of important wetland habitats and opportunities for successful wetland restoration. The map is intended to assist conservationists, private landowners, and policymakers in choosing where to site projects for wetland conservation, restoration, mitigation, and enhancement. It will help focus wetland work in the most important places, support no net less of wetland values or acres, and build on past or ongoing project locations. The data is a component of the Oregon Wetlands Explorer website, a collaborative project funded by EPA.Rev 20090812. Synchronization with near-finalized Willamette Valley Synthesis coverage by The Nature Conservancy (TNC). Modified Site Names, attempting to be consistent with TNC's Willamette Valley Synthesis naming. Rev 20090715. Incorporated feedback from provisional version sent out for review in March 2009. The map is based on The Nature Conservancy (TNC) Willamette Synthesis project, with subsequent adjustments and additions made by OSU and The Wetlands Conservancy. The Willamette Synthesis represents a two-year effort that integrates (1) TNC's portfolio sites identified by ecoregional planning (2), ODFW's Conservation Opportunity Areas from their Oregon Conservation Strategy, (3) NRCS hydric soils mapping, (4) FEMA floodplain mapping, (5) Army Corps of Engineers historical floodway maps, and (6) Oregon's Greatest Wetlands as identified by The Wetlands Conservancy and OSU, discussed further below; and a number of other sources detailed in http://oregonstate.edu/ornhic/transfer/wv_synthesis_draft_methods.zip. The Wetlands Conservancy (TWC) and Oregon Natural Heritage Information Center (ORNHIC) developed an "Oregon's Greatest Wetlands" layer, identifying areas in the state having wetlands of significant conservation interest. The "Oregon's Greatest Wetlands" areas were included in the initial Synthesis Site layer. In 2008, TWC and ORNHIC analyzed historic (pre-settlement) vegetation reconstructions, hydric soil densities, and current wetland densities (using National Wetland Inventory and Local Wetland Inventory data where available) that were within the Willamette Valley Ecoregion synthesis sites identified by The Nature Conservancy. The sites were further filtered with information obtained from various Agency and NGO conservation plans. We then reduced in size, or eliminated, WVER synthesis sites based on this analysis. Brief reasoning for the site selection is provided in the Motiv attribute. To improve the focus on wetlands, OSU and TWC then removed the larger upland portions (e.g., oak savanna and woodland, upland prairie) from the Synthesis map, and included additional wetland information based on conservation data, restoration opportunities, and cluster analysis of USFWS National Wetlands Inventory mapping. The lower portion of the Sandy River watershed is located in the Level III Willamette Valley Ecoregion. As such, it was included in the TNC Willamette Synthesis project, even though it is not strictly part of the Willamette Basin. We thus include wetland priority sites for the Sandy River watershed in this dataset.
This is a dataset download, not a document. The Open button will start the download.This data layer is an element of the Oregon GIS Framework. Monthly 30-year "normal" dataset covering Oregon, averaged over the climatological period 1991-2020. Contains spatially gridded average annual total precipitation at 800m (30 arc-second) grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset is available free-of-charge on the PRISM website.
C. shasta (Ceratonova shasta) is a parasite that can adversely affect salmonids and in some instances maybe fatal. This parasite completes its life cycle by infecting polychaete worms (Manayunkia speciosa) in their myxospore stage; then is released as a actinospore which infects salmonids. Steelhead (Oncorhynchus mykiss), Chinook (Oncorhynchus tshawytscha) and Coho (Oncorhynchus kisutch) are species of concern regarding C. shasta infection in the Klamath River.U.S. Fish and Wildlife Service Fish and Aquatic Conservation program's Arcata office in coordination with Oregon State University's John L. Fryer Aquatic Animal Health Laboratory annually collects information on abundance of polychaete worms and infection rates of C. shasta for three reaches on the Klamath River from below the Shasta River confluence to the Scott River confluence.
Note: Due to constraints in ArcGIS Pro, the data variables are truncated in the provided dataset. For a clear understanding of the variables, please refer to the excel table provided below : https://docs.google.com/spreadsheets/d/1MdtiiOTUFrptmqFxWx3lR_o37Ju-lZi3/edit?usp=sharing&ouid=100146291201047562152&rtpof=true&sd=true
This specific shapefile likely includes information on various geographic entities within Oklahoma, such as counties, cities, roads, water bodies, and other relevant boundaries. It can be used for a wide range of applications including mapping, spatial analysis, urban planning, environmental assessment, and more.With the 2019 timestamp, this shapefile captures the geographical layout of Oklahoma as it was in that year, offering insights into its administrative divisions, land use patterns, and infrastructure. Analysts, researchers, planners, and policymakers can leverage this data to better understand the spatial dynamics and make informed decisions related to the state's development and management.
OSU Transportation