41 datasets found
  1. D

    OC Hexbin Grids

    • detroitdata.org
    • portal.datadrivendetroit.org
    • +3more
    Updated Oct 14, 2020
    + more versions
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    Oakland County, Michigan (2020). OC Hexbin Grids [Dataset]. https://detroitdata.org/dataset/oc-hexbin-grids1
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    arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Oct 14, 2020
    Dataset provided by
    Oakland County, Michigan
    Description

    Equal area polygons that can be used for data aggregation/binning analysis. Includes layers with sides that measure 1000 feet, 1/2 mile, and 1 mile:

    Animated GIF of Hexbins
    Learn more about binning here: https://www.gislounge.com/binning-gis/


    BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE.

  2. D

    OC Hexbins Mile

    • detroitdata.org
    • accessoakland.oakgov.com
    • +4more
    Updated May 21, 2019
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    Oakland County, Michigan (2019). OC Hexbins Mile [Dataset]. https://detroitdata.org/dataset/oc-hexbins-mile1
    Explore at:
    kml, html, zip, arcgis geoservices rest api, csv, geojsonAvailable download formats
    Dataset updated
    May 21, 2019
    Dataset provided by
    Oakland County, Michigan
    Description

    Equal area polygons that can be used for data aggregation/binning analysis. Includes layers with sides that measure 1000 feet, 1/2 mile, and 1 mile:

    Animated GIF of Hexbins
    Learn more about binning here: https://www.gislounge.com/binning-gis/


    BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE.

  3. D

    OC Hexbins 1000ft

    • detroitdata.org
    • data.ferndalemi.gov
    • +1more
    Updated May 21, 2019
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    Oakland County, Michigan (2019). OC Hexbins 1000ft [Dataset]. https://detroitdata.org/dataset/oc-hexbins-1000ft1
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    geojson, zip, html, csv, kml, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    May 21, 2019
    Dataset provided by
    Oakland County, Michigan
    Description

    Equal area polygons that can be used for data aggregation/binning analysis. Includes layers with sides that measure 1000 feet, 1/2 mile, and 1 mile:

    Animated GIF of Hexbins
    Learn more about binning here: https://www.gislounge.com/binning-gis/


    BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE.

  4. A

    ‘OC Hexbins half mi’ analyzed by Analyst-2

    • analyst-2.ai
    Updated May 23, 2019
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2019). ‘OC Hexbins half mi’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-oc-hexbins-half-mi-3b95/latest
    Explore at:
    Dataset updated
    May 23, 2019
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘OC Hexbins half mi’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/2b84b956-1b9f-42df-b8b2-b6ade720858e on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    Equal area polygons that can be used for data aggregation/binning analysis. Includes layers with sides that measure 1000 feet, 1/2 mile, and 1 mile:

    Animated GIF of Hexbins
    Learn more about binning here: https://www.gislounge.com/binning-gis/


    BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE.

    --- Original source retains full ownership of the source dataset ---

  5. A

    ‘OC Hexbins 1000ft’ analyzed by Analyst-2

    • analyst-2.ai
    Updated May 23, 2019
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2019). ‘OC Hexbins 1000ft’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-oc-hexbins-1000ft-43dd/e4fb1a09/?iid=000-461&v=presentation
    Explore at:
    Dataset updated
    May 23, 2019
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘OC Hexbins 1000ft’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/6a788d4e-14d5-4379-8263-a4fc27e158d5 on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    Equal area polygons that can be used for data aggregation/binning analysis. Includes layers with sides that measure 1000 feet, 1/2 mile, and 1 mile:

    Animated GIF of Hexbins
    Learn more about binning here: https://www.gislounge.com/binning-gis/


    BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE.

    --- Original source retains full ownership of the source dataset ---

  6. d

    Food Waste Drop Off

    • catalog.data.gov
    • opendata.dc.gov
    • +3more
    Updated Mar 18, 2025
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    Office of Planning (2025). Food Waste Drop Off [Dataset]. https://catalog.data.gov/dataset/food-waste-drop-off
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    Dataset updated
    Mar 18, 2025
    Dataset provided by
    Office of Planning
    Description

    The locations of farmers' markets and unstaffed Smart Bin participating in the Department of Public Works' (DPW) Food Waste Drop-Off program. District residents may drop off food waste at these locations during the designated hours, which will then be converted to compost. DPW seeks to host one drop-off location for each ward, although this is subject to change from year to year and based on the seasonality of farmers' markets. Unstaffed Smart Bins must use the MetroKey App or use access code to access the unit.Layer was compiled by the Office of Planning based on DPW's public listing of drop-off sites. Due to the frequent changing of these locations for farmers' market seasonal openings and closings, check DPW's website at https://zerowaste.dc.gov/foodwastedropoff for the most up-to-date locations.

  7. e

    Salt Bin - Unresolved Incidents

    • data.europa.eu
    csv, esri shape +2
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    City of York Council, Salt Bin - Unresolved Incidents [Dataset]. https://data.europa.eu/data/datasets/salt-bin-unresolved-incidents
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    csv, geojson, kml, esri shapeAvailable download formats
    Dataset authored and provided by
    City of York Council
    Description

    This dataset contains current unresolved salt bin incidents in York recorded in City of York Council’s customer relationship management (CRM) tool from November 2019 onwards. Please note the dataset excludes incidents created in the last 14 days. For all salt bin incidents - unresolved and closed ones, please see the Salt Bins - All Incidents dataset. For further information about salt bins and reporting salt bins problems please see the City of York Council’s website.

    *Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset. The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

  8. H

    AIMS_GP_approach3_ENVI

    • beta.hydroshare.org
    • hydroshare.org
    • +1more
    zip
    Updated Nov 20, 2023
    + more versions
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    Robert Ramos; Amy Burgin; Sam Zipper (2023). AIMS_GP_approach3_ENVI [Dataset]. https://beta.hydroshare.org/resource/5de4d9eb2d224290b13d469f58dc882b/
    Explore at:
    zip(84.8 KB)Available download formats
    Dataset updated
    Nov 20, 2023
    Dataset provided by
    HydroShare
    Authors
    Robert Ramos; Amy Burgin; Sam Zipper
    License

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

    Time period covered
    Jun 3, 2021 - Aug 12, 2021
    Area covered
    Description

    This study was conducted in the South Fork of King’s Creek at Konza Prairie Biological Station, one of the most well-studied prairie streams in the world. At the USGS gage located on the mainstem (06879560; est. 1979), Kings Creek is a 5th order intermittent stream draining 1059-ha of tallgrass prairie in the Kansas Flint Hills.

    This synoptic survey was designed in support of the sampling goals of the Aquatic Intermittency effects on Microbiomes in Streams (AIMS) Project. During June, July, and August 2021, a field team co-collected datasets characterizing the hydrology, biogeochemistry, and ecology across 50 locations within a sub-drainage of the South Fork of Kings’ Creek. The 50 sites were selected to balance multiple competing priorities: (i) strategically targeting existing monitoring infrastructure with long-term data (n=14); (ii) including sites near several known springs and tributary junctions (n=9); and (iii) including a range of drainage area and topographic wetness index (TWI) values (n=27), both of which have been correlated with flow permanence elsewhere. Briefly, the sites selected based on drainage area and TWI were chosen by binning drainage area into 10 bins and then binning TWI into quintiles within each drainage area bin. We then randomly selected a point in each bin after accounting for points selected based on existing infrastructure, springs, and tributaries;, and enforcing a minimum spacing of 100 m between locations. We then made minor adjustments to points to account for field conditions, for instance adjusting locations with respect to a road crossing. For a detailed description of the site selection process, please see (Swenson et al., 2023).

    This is a collection of site metadata for the June 2021 Konza synoptic, and for the stretch July and August 2021 synoptic sampling campaigns. Most of this data is a collation of data from the different field datasheets. This is supplemented with data from the STIC (stream temperature intermittency conductivity) sensors as well as physical characteristics derived through GIS analysis.

  9. Salt Bin - Last 30 Days Incidents

    • data.gov.uk
    csv, geojson, kml +1
    Updated Mar 26, 2021
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    City of York Council (2021). Salt Bin - Last 30 Days Incidents [Dataset]. https://data.gov.uk/dataset/494e0d24-410a-440d-b53a-dc220cf9e4af/salt-bin-last-30-days-incidents
    Explore at:
    kml, shp, geojson, csvAvailable download formats
    Dataset updated
    Mar 26, 2021
    Dataset authored and provided by
    City of York Councilhttp://www.york.gov.uk/
    License

    https://data.gov.uk/dataset/494e0d24-410a-440d-b53a-dc220cf9e4af/salt-bin-last-30-days-incidents#licence-infohttps://data.gov.uk/dataset/494e0d24-410a-440d-b53a-dc220cf9e4af/salt-bin-last-30-days-incidents#licence-info

    Description

    This dataset contains the _ most recent_ salt bin incidents in York - covering a 30 days period. The information presented has been recorded in City of York Council’s customer relationship management (CRM) tool from November 2019 onwards. Please note the dataset excludes incidents created in the last 14 days. For all salt bin incidents - unresolved and closed ones, please see the Salt Bin - All Incidents dataset. For further information about salt bins and reporting salt bin problems please see the City of York Council’s website.

    *Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset. The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

  10. c

    Public Litter Bin Locations in City of Casey

    • data.casey.vic.gov.au
    • city-of-casey-geelongvic.opendatasoft.com
    csv, excel, geojson +1
    Updated Jun 23, 2025
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    (2025). Public Litter Bin Locations in City of Casey [Dataset]. https://data.casey.vic.gov.au/explore/dataset/public-litter-bins/
    Explore at:
    excel, geojson, json, csvAvailable download formats
    Dataset updated
    Jun 23, 2025
    Area covered
    Casey City
    Description

    This dataset includes the locations of public litter bins that may be on bin stands, within single cages or housed within compounds at sites around the City of Casey, extracted from the City of Casey's Asset Management System and GIS databases.

  11. n

    2020 US Census Geospatial TIGER/Line Data

    • nconemap.gov
    • nc-onemap-2-nconemap.hub.arcgis.com
    Updated Jul 8, 2021
    + more versions
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    NC OneMap / State of North Carolina (2021). 2020 US Census Geospatial TIGER/Line Data [Dataset]. https://www.nconemap.gov/documents/715f54a7c3c14cb08b3a2a5b78dbcea4
    Explore at:
    Dataset updated
    Jul 8, 2021
    Dataset authored and provided by
    NC OneMap / State of North Carolina
    License

    https://www.nconemap.gov/pages/termshttps://www.nconemap.gov/pages/terms

    Area covered
    United States
    Description

    The 2020 TIGER/Line Shapefiles contain current geographic extent and boundaries of both legal and statistical entities (which have no governmental standing) for the United States, the District of Columbia, Puerto Rico, and the Island areas. This vintage includes boundaries of governmental units that match the data from the surveys that use 2020 geography (e.g., 2020 Population Estimates and the 2020 American Community Survey). In addition to geographic boundaries, the 2020 TIGER/Line Shapefiles also include geographic feature shapefiles and relationship files. Feature shapefiles represent the point, line and polygon features in the MTDB (e.g., roads and rivers). Relationship files contain additional attribute information users can join to the shapefiles. Both the feature shapefiles and relationship files reflect updates made in the database through September 2020. To see how the geographic entities, relate to one another, please see our geographic hierarchy diagrams here.Census Urbanized Areashttps://www2.census.gov/geo/tiger/TIGER2020/UACCensus Urban/Rural Census Block Shapefileshttps://www.census.gov/cgi-bin/geo/shapefiles/index.php2020 TIGER/Line and Redistricting shapefiles:https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2020.htmlTechnical documentation:https://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2020/TGRSHP2020_TechDoc.pdfTIGERweb REST Services:https://tigerweb.geo.census.gov/tigerwebmain/TIGERweb_restmapservice.htmlTIGERweb WMS Services:https://tigerweb.geo.census.gov/tigerwebmain/TIGERweb_wms.htmlThe legal entities included in these shapefiles are:American Indian Off-Reservation Trust LandsAmerican Indian Reservations – FederalAmerican Indian Reservations – StateAmerican Indian Tribal Subdivisions (within legal American Indian areas)Alaska Native Regional CorporationsCongressional Districts – 116th CongressConsolidated CitiesCounties and Equivalent Entities (except census areas in Alaska)Estates (US Virgin Islands only)Hawaiian Home LandsIncorporated PlacesMinor Civil DivisionsSchool Districts – ElementarySchool Districts – SecondarySchool Districts – UnifiedStates and Equivalent EntitiesState Legislative Districts – UpperState Legislative Districts – LowerSubminor Civil Divisions (Subbarrios in Puerto Rico)The statistical entities included in these shapefiles are:Alaska Native Village Statistical AreasAmerican Indian/Alaska Native Statistical AreasAmerican Indian Tribal Subdivisions (within Oklahoma Tribal Statistical Areas)Block Groups3-5Census AreasCensus BlocksCensus County Divisions (Census Subareas in Alaska)Unorganized Territories (statistical county subdivisions)Census Designated Places (CDPs)Census TractsCombined New England City and Town AreasCombined Statistical AreasMetropolitan and Micropolitan Statistical Areas and related statistical areasMetropolitan DivisionsNew England City and Town AreasNew England City and Town Area DivisionsOklahoma Tribal Statistical AreasPublic Use Microdata Areas (PUMAs)State Designated Tribal Statistical AreasTribal Designated Statistical AreasUrban AreasZIP Code Tabulation Areas (ZCTAs)Shapefiles - Features:Address Range-FeatureAll Lines (called Edges)All RoadsArea HydrographyArea LandmarkCoastlineLinear HydrographyMilitary InstallationPoint LandmarkPrimary RoadsPrimary and Secondary RoadsTopological Faces (polygons with all geocodes)Relationship Files:Address Range-Feature NameAddress RangesFeature NamesTopological Faces – Area LandmarkTopological Faces – Area HydrographyTopological Faces – Military Installations

  12. n

    Waste Bin Collection Zones - Campbelltown

    • data.campbelltown.nsw.gov.au
    • campbelltownopendataportal.com.au
    csv, excel, geojson +1
    Updated Dec 1, 2023
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    (2023). Waste Bin Collection Zones - Campbelltown [Dataset]. https://data.campbelltown.nsw.gov.au/explore/dataset/campbelltown_garbage_runs/
    Explore at:
    excel, csv, json, geojsonAvailable download formats
    Dataset updated
    Dec 1, 2023
    License

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

    Area covered
    Campbelltown
    Description

    Waste bin collection is just one of the key services Council do for our community. Waste bin collection zones provide the collection day information.Data CurrencyCouncil will endeavour to refresh the dataset every six months until such time we can integrate our systems. Last Update: 13/06/2023 - Stephen MalesData Accuracy The spatial accuracy of this information is reliant upon the NSW Spatial Services cadastre datasets. Dataset information is sourced from the Campbelltown City Council GIS dataset. All information is provided and updated by the various stakeholders and custodians within the Council.

  13. a

    Salt bin incidents in the last 30 days

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 5, 2021
    + more versions
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    City of York Council (2021). Salt bin incidents in the last 30 days [Dataset]. https://hub.arcgis.com/datasets/CYC::salt-bin-incidents-in-the-last-30-days
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    Dataset updated
    Mar 5, 2021
    Dataset authored and provided by
    City of York Council
    Area covered
    Description

    For further information about salt bins and reporting salt bin problems - see the City of York Council website

  14. Clearance

    • data.geospatialhub.org
    • agic-uas-workgroup-agic.hub.arcgis.com
    • +3more
    Updated Jun 12, 2025
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    Federal Aviation Administration - AIS (2025). Clearance [Dataset]. https://data.geospatialhub.org/items/9a45603648fe47988130f2f8b63fca32
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    Dataset updated
    Jun 12, 2025
    Dataset provided by
    Federal Aviation Administrationhttp://www.faa.gov/
    Authors
    Federal Aviation Administration - AIS
    Area covered
    Description

    Current Effective Date: 0901Z 12 Jun 2025 to 0901Z 07 Aug 2025ClearanceThe Clearance dataset provides information about the highest terrain or obstacle elevation within a quadrant or bin on a chart. Clearance values can be used to determine the lowest recommended altitudes that can be flown within a bin or quadrant when taking terrain and obstacle data into account. Depending on the type of clearance and location of the bin, additional buffers may be used in the calculation. The quadrant or bin sizes vary from product to product. Clearance information is published every 56 days by the U.S. Department of Transportation, Federal Aviation Administration – Aeronautical Information Services.Types of clearance data include:Off Route Obstruction Clearance Altitude (OROCA)OROCAs are depicted on the Enroute (IFR) chart series. They include a 1000 foot vertical buffer over the highest terrain or obstacle feature in non-mountainous areas and a 2000 foot vertical buffer in designated mountainous area within the United States. These values include a horizontal buffer of 4 NM in all directions outside of the bin.Off Route Terrain Clearance Altitude (ORTCA)ORTCAs are shown on the Enroute (IFR) chart series. ORTCAs are depicted for charted areas in Mexico and the Caribbean that are located outside the U.S. Air Defense Identification Zone (ADIZ). ORTCAs include a 3000 foot vertical buffer over the highest terrain or obstacle feature. These values include a horizontal buffer of 4 NM in all directions outside of the bin.Maximum Elevation Figure (MEF) – Future EnhancementMEFs are depicted on the Visual (VFR) chart series. MEF values include a 100 foot buffer over the highest obstacle feature and a 300 foot buffer over the highest terrain feature in each bin, and are then rounded up to the next 100 foot value. There is no horizontal buffer included in the MEF calculation.

  15. o

    MASTER: Flight Line Geospatial Polygons and Contextual Data

    • daac.ornl.gov
    • s.cnmilf.com
    • +6more
    Updated Mar 15, 2023
    + more versions
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    (2023). MASTER: Flight Line Geospatial Polygons and Contextual Data [Dataset]. http://doi.org/10.3334/ORNLDAAC/2151
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    Dataset updated
    Mar 15, 2023
    Description

    This dataset provides resources for identifying flight lines of interest for the MODIS/ASTER Airborne Simulator (MASTER) instrument based on spatial and temporal criteria. MASTER first flew in 1998 and has ongoing deployments as a Facility Instrument in the NASA Airborne Science Program (ASP). MASTER is a joint project involving the Airborne Sensor Facility (ASF) at the Ames Research Center, the Jet Propulsion Laboratory (JPL), and the Earth Resources Observation and Science Center (EROS). The primary goal of these airborne campaigns is to demonstrate important science and applications research that is uniquely enabled by the full suite of MASTER thermal infrared bands as well as the contiguous spectroscopic measurements of the AVIRIS (also flown in similar campaigns), or combinations of measurements from both instruments. This dataset includes a table of flight lines with dates, bounding coordinates, site names, investigators involved, flight attributes, and associated campaigns for the MASTER Facility Instrument Collection. A shapefile containing flights for all years, a GeoJSON version of the shapefile, and separate KMZ files for each year allow users to visualize flight line locations using GIS software.

  16. NYSDOT Structures

    • data.gis.ny.gov
    Updated Mar 22, 2023
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    NYSDOT_GIS (2023). NYSDOT Structures [Dataset]. https://data.gis.ny.gov/maps/9e038774ef034c7cae5374f3e23f7a67
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    Dataset updated
    Mar 22, 2023
    Dataset provided by
    New York State Department of Transportationhttp://www.dot.ny.gov/
    Authors
    NYSDOT_GIS
    Area covered
    Description

    Terms of Use: You are welcome to freely download and use this NYS Department of Transportation web service and its content as long as you abide by these Terms of Use, which constitute a contract between you and the State. Using content from this NYS Department of Transportation web service constitutes your agreement and acceptance of these terms. If you do not agree to be bound by all of these Terms of Use, do not access or use this content. As a condition of your use of this NYS Department of Transportation web service and its content, you warrant to the State that you will not use this web service or its content for purposes that are unlawful or prohibited by these Terms of Use. The NYS Department of Transportation strives to provide content that is accurate and current, but you understand and agree that your use of the content from this web service is at your own risk. Human or mechanical error, disruptions in service, or failure of communications networks, mechanical or electronic equipment could cause inaccurate information to be posted. As such, the State does not assume legal liability or responsibility for the accuracy, timeliness, completeness, or quality of the content provided through this web service and makes no warranty, express or implied, including the warranties of merchantability and fitness for a particular purpose, nor represents that use of the content would not infringe privately owned rights. The State also does not vouch for the continued accuracy or currency of content after it has been downloaded, nor the quality or accuracy of any analyses or re-uses of that content. By accessing or using this NYS Department of Transportation web service and its content, you represent and warrant that your activities are lawful in every jurisdiction where you access or use the web service. You agree to defend, indemnify and hold harmless the State, its officers, directors, employees and agents from and against any and all claims, liabilities, damages, losses or expenses, including reasonable attorneys’ fees and costs, arising out of or in any way connected with your access to or use of this web service and its content, in reference to any claim however caused and on any theory of legal liability, whether in contract, strict liability, or tort, including negligence.

  17. a

    Public Bins Locations MappingFCC

    • hub.arcgis.com
    • data.fingal.ie
    Updated Mar 7, 2024
    + more versions
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    Fingal County Council (2024). Public Bins Locations MappingFCC [Dataset]. https://hub.arcgis.com/datasets/FingalCoCo::public-bin-locations-fcc?layer=0
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    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    Fingal County Council
    License

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

    Area covered
    Description

    This data set contains mapping and listing of Public Litter Bins within Fingal County Council shown on a map with each bin been a point which shows bin type and location. The style type Dome/Pigeon Hole and Dog Bins as per the Administrative Area of Fingal County Council.

  18. a

    Sand Bin Locations

    • opendata-strathconacounty.hub.arcgis.com
    Updated Jan 25, 2024
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    Strathcona County (2024). Sand Bin Locations [Dataset]. https://opendata-strathconacounty.hub.arcgis.com/datasets/StrathconaCounty::sand-bin-locations
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    Dataset updated
    Jan 25, 2024
    Dataset authored and provided by
    Strathcona County
    Area covered
    Description

    Points representing the location of sand bins (chip boxes) maintained by Strathcona County throughout the winter.

  19. a

    BRAT HUC12 easiest and straightforward miles

    • hub.arcgis.com
    • gis-fws.opendata.arcgis.com
    Updated Mar 7, 2023
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    U.S. Fish & Wildlife Service (2023). BRAT HUC12 easiest and straightforward miles [Dataset]. https://hub.arcgis.com/maps/fws::brat-huc12-easiest-and-straightforward-miles
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    Dataset updated
    Mar 7, 2023
    Dataset authored and provided by
    U.S. Fish & Wildlife Service
    Area covered
    Description

    This layer depicts BRAT easiest and straightforward miles that fall within Sagebrush core and growth habitat are scored based on how many miles per HUC 12. A total score is created by binning and scoring 1-5 where 5 is the most miles.The Beaver Restoration Assessment Tool (BRAT) downloads for the state of Idaho were incorporated into the analysis. The results for perennial streams were queried to include only the streams categorized in the BRAT analysis as Easiest- low hanging fruit, or Straightforward with the purpose of selecting streams where it might be easiest to provide process-based restoration. After the BRAT data was filtered on these categories it was clipped to find only the streams that were falling within Sagebrush Core and Growth areas or a 500ft buffer of Core and Growth Areas. The resulting BRAT streams that fit these two criteria – in Easiest or Straightforward areas and within a 500ft boundary of Sagebrush Core and Growth areas were summed based on stream miles per HUC. They were binned into 5 categories using Quantile and scored 1-5 with the HUCs having the most stream miles for potential restoration receiving a 5, and those with the least stream miles receiving a 1. These steps were taking for both HUC 8 and HUC12.

  20. a

    BRAT HUC8 easiest and straightforward miles

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • gis-fws.opendata.arcgis.com
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    Updated Mar 1, 2023
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    U.S. Fish & Wildlife Service (2023). BRAT HUC8 easiest and straightforward miles [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/93a05db68e5d43e8b2c4e571387c9a06
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    Dataset updated
    Mar 1, 2023
    Dataset authored and provided by
    U.S. Fish & Wildlife Service
    Area covered
    Description

    This layer depicts BRAT easiest and straightforward miles that fall within Sagebrush core and growth habitat are scored based on how many miles per HUC 8. A total score is created by binning and scoring 1-5 where 5 is the most miles.The Beaver Restoration Assessment Tool (BRAT) downloads for the state of Idaho were incorporated into the analysis. The results for perennial streams were queried to include only the streams categorized in the BRAT analysis as Easiest- low hanging fruit, or Straightforward with the purpose of selecting streams where it might be easiest to provide process-based restoration. After the BRAT data was filtered on these categories it was clipped to find only the streams that were falling within Sagebrush Core and Growth areas or a 500ft buffer of Core and Growth Areas. The resulting BRAT streams that fit these two criteria – in Easiest or Straightforward areas and within a 500ft boundary of Sagebrush Core and Growth areas were summed based on stream miles per HUC. They were binned into 5 categories using Quantile and scored 1-5 with the HUCs having the most stream miles for potential restoration receiving a 5, and those with the least stream miles receiving a 1. These steps were taking for both HUC 8 and HUC12.

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Link copied
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Oakland County, Michigan (2020). OC Hexbin Grids [Dataset]. https://detroitdata.org/dataset/oc-hexbin-grids1

OC Hexbin Grids

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arcgis geoservices rest api, htmlAvailable download formats
Dataset updated
Oct 14, 2020
Dataset provided by
Oakland County, Michigan
Description

Equal area polygons that can be used for data aggregation/binning analysis. Includes layers with sides that measure 1000 feet, 1/2 mile, and 1 mile:

Animated GIF of Hexbins
Learn more about binning here: https://www.gislounge.com/binning-gis/


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