48 datasets found
  1. Digital Geologic-GIS Map of the Summer Shade Quadrangle, Kentucky (NPS, GRD,...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Jun 5, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of the Summer Shade Quadrangle, Kentucky (NPS, GRD, GRI, MACA, SUSH digital map) adapted from a U.S. Geological Survey Geologic Quadrangle Map by Hail (1964) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/digital-geologic-gis-map-of-the-summer-shade-quadrangle-kentucky-nps-grd-gri-maca-sush-dig
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Kentucky, Summer Shade
    Description

    The Digital Geologic-GIS Map of the Summer Shade Quadrangle, Kentucky 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 (sush_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (sush_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 (sush_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). 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 (maca_abli_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (maca_abli_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 (sush_geology_metadata_faq.pdf). Please read the maca_abli_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. 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 (sush_geology_metadata.txt or sush_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 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 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 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).

  2. c

    Summer Meals Sites

    • s.cnmilf.com
    • opendata.dc.gov
    • +3more
    Updated Feb 5, 2025
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    D.C. Office of the Chief Technology Officer (2025). Summer Meals Sites [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/summer-meals-sites
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Description

    DC's youth 18 and under can receive reimbursement for free nutritious meals and snacks as part of the DC Free Summer Meals Program (FSMP). The program operates June through August, with meal times and dates varying by _location.

  3. Absolute change in summer temperature (Alaska) (Image Service)

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +6more
    Updated Apr 21, 2025
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    U.S. Forest Service (2025). Absolute change in summer temperature (Alaska) (Image Service) [Dataset]. https://catalog.data.gov/dataset/absolute-change-in-summer-temperature-alaska-image-service-81819
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Area covered
    Alaska
    Description

    The National Forest Climate Change Maps project was developed by the Rocky Mountain Research Station (RMRS) and the Office of Sustainability and Climate to meet the needs of national forest managers for information on projected climate changes at a scale relevant to decision making processes, including forest plans. The maps use state-of-the-art science and are available for every national forest in the contiguous United States with relevant data coverage. Currently, the map sets include variables related to precipitation, air temperature, snow (including snow residence time and April 1 snow water equivalent), and stream flow.Historical (1975-2005) and future (2071-2090) precipitation and temperature data for the state of Alaska were developed by the Scenarios Network for Alaska and Arctic Planning (SNAP) (https://snap.uaf.edu). Average temperature values were calculated as the mean of monthly minimum and maximum air temperature values (degrees C), averaged over the season of interest (annual, winter, or summer). These datasets have several important differences from the MACAv2-Metdata (https://climate.northwestknowledge.net/MACA/) products, used in the contiguous U.S. They were developed using different global circulation models and different downscaling methods, and were downscaled to a different scale (771 m instead of 4 km). While these cover the same time periods and use broadly similar approaches, caution should be used when directly comparing values between Alaska and the contiguous United States.Raster data are also available for download from RMRS site (https://www.fs.usda.gov/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html), along with pdf maps and detailed metadata (https://www.fs.usda.gov/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/downloads/NationalForestClimateChangeMapsMetadata.pdf).

  4. a

    NOLA Class Map - Summer 2017 - Assumpta-Copy-Copy

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Jun 8, 2017
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    Bucknell GIS & Spatial Thinking (2017). NOLA Class Map - Summer 2017 - Assumpta-Copy-Copy [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/53073486a22f4b91b6fc6467b9424b4f
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    Dataset updated
    Jun 8, 2017
    Dataset authored and provided by
    Bucknell GIS & Spatial Thinking
    Area covered
    Description

    Bucknell's summer 2015 "New Orleans in 12 Movements" course aims to help students view New Orleans' natural environment, built infrastructure, and human experience in an integrated way. The course is co-taught by faculty from 3 departments and includes a week of field work in New Orleans. In this course, students will develop an integrated, holistic understanding of how the city of New Orleans has evolved over time. To support this learning, students have been provided an ArcGIS Online web-based map containing key cultural and historic information about New Orleans selected by their instructors. This interactive tool will enable them to explore New Orleans’ natural environment, built infrastructure and human experience through a variety of lenses. Faculty will use the map to deliver presentations and course materials to students. Students will use their own copy of the map to take notes, complete and deliver course assignments, and add their own materials to the course collection. Link to ArcGIS Online resource guide for class: click hereLink to data dictionary for NOLA class map layers: click hereLink to class website/blog: click here

  5. Mountain Lion Habitat Suitability - Summer - CDFW [ds2916]

    • data.cnra.ca.gov
    • data.ca.gov
    • +4more
    Updated Dec 13, 2023
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    California Department of Fish and Wildlife (2023). Mountain Lion Habitat Suitability - Summer - CDFW [ds2916] [Dataset]. https://data.cnra.ca.gov/dataset/mountain-lion-habitat-suitability-summer-cdfw-ds2916
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    html, arcgis geoservices rest api, zipAvailable download formats
    Dataset updated
    Dec 13, 2023
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Habitat suitability model for mountain lion based on a summer resource selection function as described in Dellinger et al. 2020. Using Mountain Lion Habitat Selection in Management. Journal of Wildlife Management 84(2): 359-371. https://wildlife.onlinelibrary.wiley.com/doi/full/10.1002/jwmg.21798

  6. m

    Bus Network Redesign – Network Map Summer 2024

    • gis.data.mass.gov
    • hub.arcgis.com
    Updated Aug 27, 2024
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    Massachusetts geoDOT (2024). Bus Network Redesign – Network Map Summer 2024 [Dataset]. https://gis.data.mass.gov/datasets/MassDOT::bus-network-redesign-network-map-summer-2024
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    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    Massachusetts geoDOT
    Area covered
    Description

    For more information about the project, including an interactive map of routes, please visit https://www.mbta.com/projects/bus-network-redesign/new-bus-network-map.

    Please note that this map is a board-approved draft, and some areas may still be subject to change as we refine each route alignment for implementation. If you have a project related need or would like more details, please contact us at BetterBusProject@mbta.com. MassDOT/MBTA shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data.

  7. t

    Lake Minnetonka Regional Park Summer Map

    • gis.threeriversparks.org
    • gis-trpd.opendata.arcgis.com
    • +1more
    Updated May 16, 2020
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    Three Rivers Park District (2020). Lake Minnetonka Regional Park Summer Map [Dataset]. https://gis.threeriversparks.org/documents/a644a73c5f4d4c8b937e509f39dde5cf
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    Dataset updated
    May 16, 2020
    Dataset authored and provided by
    Three Rivers Park District
    Description

    An official map of Three Rivers Park District

  8. a

    Fish Lake Regional Park Summer Map

    • hub.arcgis.com
    • gis.threeriversparks.org
    Updated May 15, 2020
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    Three Rivers Park District (2020). Fish Lake Regional Park Summer Map [Dataset]. https://hub.arcgis.com/documents/6ea1e936f5b744f4b1d0d550944b3abb
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    Dataset updated
    May 15, 2020
    Dataset authored and provided by
    Three Rivers Park District
    Description

    An official map of Three Rivers Park District

  9. a

    Spring Summer Marine Bird And Mammal Surveys

    • hub.arcgis.com
    • data-wdfw.opendata.arcgis.com
    Updated Jun 12, 2021
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    WA Dept of Fish and Wildlife (2021). Spring Summer Marine Bird And Mammal Surveys [Dataset]. https://hub.arcgis.com/documents/819280e883fb479d8b64812ef4608c55
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    Dataset updated
    Jun 12, 2021
    Dataset authored and provided by
    WA Dept of Fish and Wildlife
    Description

    This data set contains analysis results for the Spring-Summer Marine Bird and Mammal Surveys conducted in Puget Sound annually. This is a zipped (compressed) file geodatabase containing GIS data and must be downloaded, unzipped and viewed in using GIS software such as ArcMap or ArcGIS Pro. This package includes analysis strata and a table of abundance estimates.

    This geodatabase contains the following datasets: MRB_Strata (polygon), MRB_AbundanceEstimates (table).

  10. d

    Data from: Summer Steelhead Distribution [ds341]

    • catalog.data.gov
    • data.ca.gov
    • +5more
    Updated Nov 27, 2024
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    California Department of Fish and Wildlife (2024). Summer Steelhead Distribution [ds341] [Dataset]. https://catalog.data.gov/dataset/summer-steelhead-distribution-ds341-0e93a
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Fish and Wildlife
    Description

    Summer Steelhead Distribution October 2009 Version This dataset depicts observation-based stream-level geographic distribution of anadromous summer-run steelhead trout, Oncorhynchus mykiss irideus (O. mykiss), in California. It was developed for the express purpose of assisting with steelhead recovery planning efforts. The distributions reported in this dataset were derived from a subset of the data contained in the Aquatic Species Observation Database (ASOD), a Microsoft Access multi-species observation data capture application. ASOD is an ongoing project designed to capture as complete a set of statewide inland aquatic vertebrate species observation information as possible. Please note: A separate distribution is available for winter-run steelhead. Contact information is the same as for the above. ASOD Observation data were used to develop a network of stream segments. These lines are developed by "tracing down" from each observation to the sea using the flow properties of USGS National Hydrography Dataset (NHD) High Resolution hydrography. Lastly these lines, representing stream segments, were assigned a value of either Anad Present (Anadromous present). The end result (i.e., this layer) consists of a set of lines representing the distribution of steelhead based on observations in the Aquatic Species Observation Database. This dataset represents stream reaches that are known or believed to be used by steelhead based on steelhead observations. Thus, it contains only positive steelhead occurrences. The absence of distribution on a stream does not necessarily indicate that steelhead do not utilize that stream. Additionally, steelhead may not be found in all streams or reaches each year. This is due to natural variations in run size, water conditions, and other environmental factors. The information in this data set should be used as an indicator of steelhead presence/suspected presence at the time of the observation as indicated by the 'Late_Yr' (Latest Year) field attribute. The line features in the dataset may not represent the maximum extent of steelhead on a stream; rather it is important to note that this distribution most likely underestimates the actual distribution of steelhead. This distribution is based on observations found in the ASOD database. The individual observations may not have occurred at the upper extent of anadromous occupation. In addition, no attempt was made to capture every observation of O. mykiss and so it should not be assumed that this dataset is complete for each stream. The distribution dataset was built solely from the ASOD observational data. No additional data (habitat mapping, barriers data, gradient modeling, etc.) were utilized to either add to or validate the data. It is very possible that an anadromous observation in this dataset has been recorded above (upstream of) a barrier as identified in the Passage Assessment Database (PAD). In the near future, we hope to perform a comparative analysis between this dataset and the PAD to identify and resolve all such discrepancies. Such an analysis will add rigor to and help validate both datasets. This dataset has recently undergone a review. Data source contributors as well as CDFG fisheries biologists have been provided the opportunity to review and suggest edits or additions during a recent review. Data contributors were notified and invited to review and comment on the handling of the information that they provided. The distribution was then posted to an intranet mapping application and CDFG biologists were provided an opportunity to review and comment on the dataset. During this review, biologists were also encouraged to add new observation data. This resulting final distribution contains their suggestions and additions. Please refer to "Use Constraints" section below.

  11. t

    French Regional Park Summer Map

    • gis.threeriversparks.org
    Updated May 16, 2020
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    Three Rivers Park District (2020). French Regional Park Summer Map [Dataset]. https://gis.threeriversparks.org/documents/b3102d5990ea46fc88e4cc16258f438e
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    Dataset updated
    May 16, 2020
    Dataset authored and provided by
    Three Rivers Park District
    Description

    An official map of Three Rivers Park District

  12. c

    Summer Tanager Range - CWHR B469 [ds1638]

    • s.cnmilf.com
    • data.ca.gov
    • +6more
    Updated Nov 27, 2024
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    California Department of Fish and Wildlife (2024). Summer Tanager Range - CWHR B469 [ds1638] [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/summer-tanager-range-cwhr-b469-ds1638-274a5
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Fish and Wildlife
    Description

    Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

  13. A

    Allegheny County Summer Food Sites

    • data.amerigeoss.org
    • data.wu.ac.at
    Updated Jul 29, 2019
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    United States (2019). Allegheny County Summer Food Sites [Dataset]. https://data.amerigeoss.org/ru/dataset/allegheny-county-summer-food-sites
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    kml, bin, html, application/vnd.geo+json, csv, zipAvailable download formats
    Dataset updated
    Jul 29, 2019
    Dataset provided by
    United States
    Area covered
    Allegheny County
    Description

    This data set shows the Summer Food Sites located within Allegheny County for children (18 years and younger) for breakfast and lunch during summer recess. OPEN SITES are food sites open to all children and CLOSED SITES are food sites reserved for children who are participating in other activities at the site. For more information on sites and program details call 1-800-851-3838 .

    If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below.

    Category: Education and Human and Social Services

    Organization: Allegheny County

    Department: Department of Human Services - Office of Community Services

    Temporal Coverage: 28th July, 2017

    Data Notes:

    Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot

    Development Notes: none

    Other: none

    Frequency - Data Change: As needed

    Frequency - Publishing: As needed

    Data Steward Name: Sumiya Tarannum

    Data Steward Email: Sumiya.tarannum@alleghenycounty.us

  14. Historical annual temperature (CONUS) (Image Service)

    • catalog.data.gov
    • gimi9.com
    • +5more
    Updated Apr 21, 2025
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    U.S. Forest Service (2025). Historical annual temperature (CONUS) (Image Service) [Dataset]. https://catalog.data.gov/dataset/historical-annual-temperature-conus-image-service-cad29
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Description

    The National Forest Climate Change Maps project was developed by the Rocky Mountain Research Station (RMRS) and the Office of Sustainability and Climate to meet the needs of national forest managers for information on projected climate changes at a scale relevant to decision making processes, including forest plans. The maps use state-of-the-art science and are available for every national forest in the contiguous United States with relevant data coverage. Currently, the map sets include variables related to precipitation, air temperature, snow (including snow residence time and April 1 snow water equivalent), and stream flow.

    Historical (1975-2005) and future (2071-2090) precipitation and temperature data for the contiguous United States are ensemble mean values across 20 global climate models from the CMIP5 experiment (https://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1), downscaled to a 4 km grid. For more information on the downscaling method and to access the data, please see Abatzoglou and Brown, 2012 (https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/joc.2312) and the Northwest Knowledge Network (https://climate.northwestknowledge.net/MACA/). We used the MACAv2- Metdata monthly dataset; average temperature values were calculated as the mean of monthly minimum and maximum air temperature values (degrees C), averaged over the season of interest (annual, winter, or summer). Absolute change was then calculated between the historical and future time periods.

    Raster data are also available for download from RMRS site (https://www.fs.usda.gov/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html), along with pdf maps and detailed metadata (https://www.fs.usda.gov/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/downloads/NationalForestClimateChangeMapsMetadata.pdf).

  15. a

    Baker Park Reserve Summer Map

    • hub.arcgis.com
    • gis.threeriversparks.org
    Updated May 16, 2020
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    Three Rivers Park District (2020). Baker Park Reserve Summer Map [Dataset]. https://hub.arcgis.com/documents/76263a28624341f795f4e6cce50c91d7
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    Dataset updated
    May 16, 2020
    Dataset authored and provided by
    Three Rivers Park District
    Description

    An official map of Three Rivers Park District

  16. t

    Hyland Lake Park Reserve Summer Map

    • gis.threeriversparks.org
    • hub.arcgis.com
    Updated May 16, 2020
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    Three Rivers Park District (2020). Hyland Lake Park Reserve Summer Map [Dataset]. https://gis.threeriversparks.org/documents/42cf0b3c15774c5ab632eb2ed78942c8
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    Dataset updated
    May 16, 2020
    Dataset authored and provided by
    Three Rivers Park District
    Description

    An official map of Three Rivers Park District

  17. a

    NOLA Class Map - Summer 2017-Luyang

    • hub.arcgis.com
    Updated May 22, 2017
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    Bucknell GIS & Spatial Thinking (2017). NOLA Class Map - Summer 2017-Luyang [Dataset]. https://hub.arcgis.com/maps/1a8f5d4b036e4e56a945b31bfde88ed4
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    Dataset updated
    May 22, 2017
    Dataset authored and provided by
    Bucknell GIS & Spatial Thinking
    Area covered
    Description

    Bucknell's summer 2015 "New Orleans in 12 Movements" course aims to help students view New Orleans' natural environment, built infrastructure, and human experience in an integrated way. The course is co-taught by faculty from 3 departments and includes a week of field work in New Orleans. In this course, students will develop an integrated, holistic understanding of how the city of New Orleans has evolved over time. To support this learning, students have been provided an ArcGIS Online web-based map containing key cultural and historic information about New Orleans selected by their instructors. This interactive tool will enable them to explore New Orleans’ natural environment, built infrastructure and human experience through a variety of lenses. Faculty will use the map to deliver presentations and course materials to students. Students will use their own copy of the map to take notes, complete and deliver course assignments, and add their own materials to the course collection. Link to ArcGIS Online resource guide for class: click hereLink to data dictionary for NOLA class map layers: click hereLink to class website/blog: click here

  18. a

    Aerial View 2019 (Summer)

    • gishub-gimsoh29.opendata.arcgis.com
    • equitable-property-valuation-gimsoh29.hub.arcgis.com
    Updated Feb 11, 2023
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    Greene County GIS (2023). Aerial View 2019 (Summer) [Dataset]. https://gishub-gimsoh29.opendata.arcgis.com/maps/cf76a0763ec14efbb3a16489ae6a675f
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    Dataset updated
    Feb 11, 2023
    Dataset authored and provided by
    Greene County GIS
    Area covered
    Description

    1ft orthoimagery of Greene County, OH acquired in 2019 for the CAUV program. RGB band mapping in original State Plane CRS (EPSG:3754).

  19. a

    2019 Summer Aerials

    • data-loraingis.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 19, 2020
    + more versions
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    Lorain County Auditor GIS (2020). 2019 Summer Aerials [Dataset]. https://data-loraingis.opendata.arcgis.com/datasets/ohlora008023-sid-1
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    Dataset updated
    Mar 19, 2020
    Dataset authored and provided by
    Lorain County Auditor GIS
    Area covered
    Description

    Lorain County 2019 Summer Aerials. Flight flown in July/Aug 2019 by Eagleview. Pixel resolution is 6".

    Tile Projection:

    CoordSys:
    US State Plane 1983

    CoordDatum:
    North American Datum 1983

    CoordZone:
    Ohio Northern Zone

    CoordUnits:
    US Survey Feet

  20. a

    Aerial View 2015 (Summer)

    • gishub-gimsoh29.opendata.arcgis.com
    • hub.arcgis.com
    Updated Feb 11, 2023
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    Greene County GIS (2023). Aerial View 2015 (Summer) [Dataset]. https://gishub-gimsoh29.opendata.arcgis.com/maps/431b3aca22734ad4982a451debe4f2d3
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    Dataset updated
    Feb 11, 2023
    Dataset authored and provided by
    Greene County GIS
    Area covered
    Description

    1-foot orthoimagery of Greene County, OH acquired in 2015 for the CAUV program. RGB band mapping in original State Plane CRS (EPSG:3754).

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National Park Service (2024). Digital Geologic-GIS Map of the Summer Shade Quadrangle, Kentucky (NPS, GRD, GRI, MACA, SUSH digital map) adapted from a U.S. Geological Survey Geologic Quadrangle Map by Hail (1964) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/digital-geologic-gis-map-of-the-summer-shade-quadrangle-kentucky-nps-grd-gri-maca-sush-dig
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Digital Geologic-GIS Map of the Summer Shade Quadrangle, Kentucky (NPS, GRD, GRI, MACA, SUSH digital map) adapted from a U.S. Geological Survey Geologic Quadrangle Map by Hail (1964)

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Dataset updated
Jun 5, 2024
Dataset provided by
National Park Servicehttp://www.nps.gov/
Area covered
Kentucky, Summer Shade
Description

The Digital Geologic-GIS Map of the Summer Shade Quadrangle, Kentucky 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 (sush_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (sush_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 (sush_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). 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 (maca_abli_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (maca_abli_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 (sush_geology_metadata_faq.pdf). Please read the maca_abli_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. 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 (sush_geology_metadata.txt or sush_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 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 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 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).

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