Download .zipThis file contains the data used by the Division of Wildlife for the construction of lake maps. Data was collected in the Ohio State Plane Coordinate System for both the northern and southern state planes in the Lambert Projection Zone. Except for the lakes in extreme western Ohio which is in UTM zone 16N the majority of lakes are in UTM zone 17N and datum NAD83. Data were collected by the Ohio Division of Wildlife using a Trimble GPS Pathfinder Pro XRS receiver and Recon datalogger. Geocoding of depths typically occurred during water levels that were ± 60 cm of full recreational pool while transversing the reservoir at 100m intervals driving at a vessel speed of 2.0-2.5 m/s. Depth contour lines were derived by creating a raster file from the point bathymetry and boundary lake data. ArcGIS Spatial Analyst Interpolation tool outputs point data that is then changed into polyline contours using the Spatial Analyst Surface tool. Additional details on the digitizing process are available upon request.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2071 Morse Rd, Bldg G-2Columbus, OH, 43255Telephone: 614-265-6488Email: gis.support@dnr.ohio.gov

The Digital Surficial Geologic-GIS Map of Lake Clark National Park and Preserve and Vicinity, Alaska is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (lacl_surficial_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (lacl_surficial_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (lacl_surficial_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (lacl_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (lacl_surficial_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (lacl_surficial_geology_metadata_faq.pdf). Please read the lacl_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (lacl_surficial_geology_metadata.txt or lacl_surficial_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:250,000 and United States National Map Accuracy Standards features are within (horizontally) 127 meters or 416.7 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Download .zipThis file contains point data used for the construction of lake maps for State of Ohio. Data was collected in the Ohio State Plane Coordinate System for both the northern and southern state planes in the Lambert Projection Zone. Except for the lakes in extreme western Ohio which is in UTM zone 16N the majority of lakes are in UTM zone 17N and datum NAD83. The data was collected by fisheries biologists with the Ohio Division of Wildlife using a Trimble GPS Pathfinder Pro XRS receiver and Recon datalogger. Geocoding of depths occurred during water levels that were ± 60 cm of full recreational pool while transversing the reservoir at 100m intervals driving at a vessel speed of 2.0-2.5 m/s. Depth contour lines were derived from this data by creating a raster file from the point bathymetry and boundary lake data. The Spatial Analyst Interpolation tool outputs point data that is then changed into polyline contours using the Spatial Analyst Surface tool. Additional details on the digitizing process are available upon request.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2045 Morse Rd, Bldg G-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

These data provide an accurate high-resolution shoreline compiled from imagery of SUSQUEHANNA RIVER MOUTH TO SPENCER ISLAND, MD . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. 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

This spreadsheet contains the data items for the town and community profiles for each Victorian community. Communities consist of suburbs, towns and rural catchments of town. All residential areas of Victoria are included in a community.

Modelling GIS and Planning products produces statistical profiles of geographic areas to facilitate service planning and policy development by enabling access to a broad range of data about each geographic area. The geographic profiles currently available on this website are Town and Community Profiles 2011.

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The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for 10 countries of interest in Southwest Asia (area of study): Afghanistan, Cambodia, Laos, India, Indonesia, Iran, Nepal, North Korea, Pakistan, and Thailand. The data can be used in analyses of the extractive fuel and nonfuel mineral industries and related economic and physical infrastructure integral for the successful operation of the mineral industries within the area of study as well as the movement of mineral products across domestic and global markets. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports for the countries in the area of study. The geodatabase contains data feat ...

The data provides a summary of the state of development practice for Geographic Information Systems (GIS) software (as of August 2017). The summary is based on grading a set of 30 GIS products using a template of 56 questions based on 13 software qualities. The products range in scope and purpose from a complete desktop GIS systems, to stand-alone tools, to programming libraries/packages.

The template used to grade the software is found in the TabularSummaries.zip file. Each quality is measured with a series of questions. For unambiguity the responses are quantified wherever possible (e.g.~yes/no answers). The goal is for measures that are visible, measurable and feasible in a short time with limited domain knowledge. Unlike a comprehensive software review, this template does not grade on functionality and features. Therefore, it is possible that a relatively featureless product can outscore a feature-rich product.

A virtual machine is used to provide an optimal testing environments for each software product. During the process of grading the 30 software products, it is much easier to create a new virtual machine to test the software on, rather than using the host operating system and file system.

The raw data obtained by measuring each software product is in SoftwareGrading-GIS.xlsx. Each line in this file corresponds to between 2 and 4 hours of measurement time by a software engineer. The results are summarized for each quality in the TabularSummaries.zip file, as a tex file and compiled pdf file.

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The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for the People's Republic of China. The data can be used in analyses of the extractive fuel and nonfuel mineral industries and related economic and physical infrastructure integral for the successful operation of the mineral industries within the area of study as well as the movement of mineral products across domestic and global markets. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports for the countries in the area of study. The geodatabase contains data feature classes from USGS, foreign governmental, and open-source sources as follows: (1) mineral production and processing facili ...

1. In clonal dioecious plants, the frequency and spatial distribution of flowering ramets contains information on the underlying genet sex ratio. These measures can also provide insight on potential ecological mechanisms causing variation and bias in sex ratios among populations.
2. We used a novel likelihood-based approach and spatial clustering model to estimate the genet sex ratios from flowering ramet data collected from 32 populations of dioecious Thalictrum pubescens, a clonal species from eastern N. America that occupies moist wetland and forested environments. We investigated sex ratios of seed families, clone size, patterns of flowering and plant height to determine potential causes of sex ratio bias.
3. Flowering ramet sex ratios varied considerably among populations but were significantly male-biased. Seed families grown to flowering also exhibited the same degree of male bias. Both models predicted close correspondence between ramet and genet sex ratios. The likelihood model...

It includes the following counties: Bullitt County, Hardin County, Jefferson County, Clark County, Oldham County, Henry County, Meade County, Harrison County, Shelby County, Spencer County, Trimble County, Floyd County. This area is also the extent of our base map caches.

Mobile map of Spencer Spit State Park, Washington. For use in the Field Maps app by ESRI. Published September 22, 2021.

Includes Major Road Network from Oldham County (KY), Trimble County(KY) , Harrison County (IN), Clark County (IN), Floyd County (IN), Bullitt County (KY) , Shelby County(KY) , Spencer County (KY), Hardin County(KY) , Meade County (KY), Jefferson County(KY) , Henry County (KY). View detailed metadata

The Moonta Subdomain forms the southern part of the Olympic Cu-Au province on the eastern margin of the Gawler Craton, and underlies most of the Yorke Peninsula and Spencer Gulf. The domain basement comprises metasediments and metavolcanics of the Palaeoproterozoic Wallaroo Group (~1760-1740 Ma) which were deformed and metamorphosed to upper greenschist-amphibolite facies during the Kimban Orogeny (~1720 Ma). These rocks were further deformed and intruded by granitoids and minor mafic intrusions of the Hiltaba Suite between about 1600 Ma and 1575 Ma.

The Moonta Subdomain basement is highly prospective for iron oxide-Cu-Au mineralisation associated with the Hiltaba magmatic event. However outcrop of these basement rocks is limited almost entirely to narrow coastal exposures. The majority of the prospective basement is concealed by up to 100 metres of Neoproterozoic to Quaternary sediments, and geological mapping of the basement is largely limited to interpretation of geophysics (airborne magnetics, gravity, AEM) and drilling.

Bedrock geological mapping was conducted throughout the Northwest Territories during the late 1980s to late 1990s and was jointly implemented by the Government of Northwest Territories (RWED, EMPR) and the Federal (DIAND) Government. Many of these areas were mapped at 1:50,000 scale and the principal products resulting from each of these mapping projects are scanned monochrome tif images of variable legibility. These are currently distributed by the Northwest Territories Geological Survey (NTGS). Significant technological advancements in map production and data delivery have been developed since the original publications were released. In an effort to support and stimulate mineral exploration, the mapping products are being re-released in modern formats that are compatible with current industry standards.NWT Open Report 2015-006 contains information on data sources related to this dataset and additional geological interpretation.Recommended Citation:Stubley, M., Marklund, J., and Irwin, D., 2015: Geology of the Spencer Lake area, parts of NTS 085 P/1 & 2 (a digital re-release of EGS 1989-12 in ESRI® and Adobe® formats); Northwest Territories Geological Survey, Open Report 2015-006.

Looking for information on a construction project near you? Project Portal offers a comprehensive view of all current, funded, and planned projects occurring across the State of Maryland. You can quickly and easily access specific project information, including a general overview, interactive map, news, schedule, pictures and video, supporting documents, and upcoming public meetings. It’s easy to search by location for a specific project, or by county for a list of all projects in your jurisdiction.(MDOT SHA Project Portal Individual Project Page Web Map)MDOT SHA WebsiteContact Us

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Data Source: Office of Planning, Federal Highway Administration (FHWA).

For TMAs (Transportation Management Areas) please see the Federal Register website or contact Spencer Stevens for more information.

Bedrock geological mapping was conducted throughout the Northwest Territories during the late 1980s to late 1990s and was jointly implemented by the Government of Northwest Territories (RWED, EMPR) and the Federal (DIAND) Government. Many of these areas were mapped at 1:50,000 scale and the principal products resulting from each of these mapping projects are scanned monochrome tif images of variable legibility. These are currently distributed by the Northwest Territories Geological Survey (NTGS). Significant technological advancements in map production and data delivery have been developed since the original publications were released. In an effort to support and stimulate mineral exploration, the mapping products are being re-released in modern formats that are compatible with current industry standards.NWT Open Report 2015-006 contains information on data sources related to this dataset and additional geological interpretation.Recommended Citation:Stubley, M., Marklund, J., and Irwin, D., 2015: Geology of the Spencer Lake area, parts of NTS 085 P/1 & 2 (a digital re-release of EGS 1989-12 in ESRI® and Adobe® formats); Northwest Territories Geological Survey, Open Report 2015-006.