35 datasets found
  1. D

    Dynamic Message Signs

    • data.seattle.gov
    • catalog.data.gov
    • +1more
    csv, xlsx, xml
    Updated Feb 3, 2025
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    (2025). Dynamic Message Signs [Dataset]. https://data.seattle.gov/dataset/Dynamic-Message-Signs/ruhs-jugf
    Explore at:
    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Feb 3, 2025
    Description

    Displays dynamic message signs maintained by the Seattle Department of Transportation.


    Views: Link, which adds the recommended filter for general use of the dataset: 'CURRENT_STATUS = 'INSVC''

    Refresh Cycle: Daily

    Feature Class: SDOT.V_DMS

  2. O

    CT 2023 Spring Aerial Imagery (4-band, 3inch, tiled)

    • data.ct.gov
    • geodata.ct.gov
    • +1more
    csv, xlsx, xml
    Updated Jan 29, 2025
    + more versions
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    UConn (2025). CT 2023 Spring Aerial Imagery (4-band, 3inch, tiled) [Dataset]. https://data.ct.gov/Environment-and-Natural-Resources/CT-2023-Spring-Aerial-Imagery-4-band-3inch-tiled-/ev5n-cv97/data
    Explore at:
    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset authored and provided by
    UConn
    Description

    This image service is available through CT ECO, a partnership between UConn CLEAR and CT DEEP. It is a virtual mosaic of 23,341 GeoTIFF tiles. This service is tiled for faster drawing speed. It is related to the dynamic service of the same dataset.


    Dataset Information
    Extent: Connecticut
    Dates: 2023 (March 27 - April 13), between snow melt and leaf out
    Bands: 4 (red, green, blue, near-infrared)
    Pixel resolution: 3 inch
    Image Tile Projection: CT State Plane NAD83 (2011) Feet (EPSG 6434)
    Service Projection: WGS 1984 Web Mercator Auxiliary Sphere (EPSG 3857)
    Tide Coordinated: Yes

    More Information
    - 2023 Orthoimagery page on CT ECO including data download (coming soon)

    Credit and Funding
    Coming soon

  3. D

    Longitudinal Markings

    • data.seattle.gov
    • catalog.data.gov
    csv, xlsx, xml
    Updated Feb 3, 2025
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    (2025). Longitudinal Markings [Dataset]. https://data.seattle.gov/dataset/Longitudinal-Markings/mnv4-rqgc
    Explore at:
    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Feb 3, 2025
    Description

    View of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.


    Common Data Layer: Common data layer created from a read only view from this feature layer. It is owned by SDOT Transportation account and will be made available in Open Data.

    Refresh Cycle: None, Dynamic via AutoCAD updates

    Channelization data consists of the following layers:
    1. Vertical Elements
    2. Lane Widths
    3. Panel Markings
    4. Longitudinal Markings
    5. Transverse Markings
    6. Legend and Symbols
    7. General Background

  4. m

    D5 2030 Hatch

    • gis.data.mass.gov
    • geodot.mass.gov
    • +1more
    Updated Dec 7, 2023
    + more versions
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    Massachusetts geoDOT (2023). D5 2030 Hatch [Dataset]. https://gis.data.mass.gov/datasets/MassDOT::d5-2030-hatch
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    Dataset updated
    Dec 7, 2023
    Dataset authored and provided by
    Massachusetts geoDOT
    Area covered
    Description

    Flood Hatch ShapefilesIn addition to the three sets of rasters (Maximum Wave Heights, Water Surface Elevations, and DFEs) provided, separate shapefiles were also created to overlap and highlight special areas within the raster datasets produced for calculating DFEs. A flood hatch shapefile is not provided for every ACFEP level or for every region, but when it is provided, it encompasses the special areas for that level and region. The same hatch shapefile is applicable for all datatypes for the particular level and region. Flood hatch shapefiles encompass all areas of special values within the data rasters (including areas of 9999, 9998, and 9997 values). All regions have a 0.1% ACFEP level flood hatch shapefile because all 0.1% ACFEP rasters contain 9999 values.The flood hatch shapefiles contain individual polygons that describe the type of special area underlying that polygon’s spatial extent. For 9999 and 9998 values in the value rasters (water surface elevations, waves, and DFEs), the special hatched polygons will have the same extent of those values within those rasters. For 9997 values in the value rasters, the hatch polygon will always encompass the 9997 values, but may be larger in extent than just the location of those value cells. For these areas, water surface elevation, wave heights, and DFEs values may be provided, but they still represent a special zone.The Hatch polygons have 5 fields (Column headers) that describe each polygon within the shapefile. These fields include FID, Shape, Hatch_Type, Zones_txt, Hatch, and Hatch_Txt. The FID field contains an ID number for each polygon within that shapefile, while the Shape fieldlists the type of shapefile contained (polygon in all cases). The Hatch_Type field contains the numerical value that can be found within the value rasters (wave height, water surface, and DFE) underlying that polygon. Zones_txt and Hatch_txt are string type fields that contain descriptors of the polygon type, while the Hatch Field contains a numerical value for the type of hatching (1 for 0.1% Edge Zone, 2 for Wave Overtopping Zones, 3 for Dynamic Zone). The following table is an example of what a flood hatch file’s attribute table might look like.FIDShapeHatch_TypeZones_TxtHatchHatch_Txt0Polygon9999Shallow water flooding during extreme storms10.1% Edge Zone1Polygon9997Influenced by wave overtopping (incl. 9997 areas)2Wave Overtopping Zone2Polygon9998Dynamic Landform Areas3Dynamic ZoneSpecifically, the various hatch shapefiles can be defined as follows:• FID 0 Hatch Type – These represent areas of shallow water flooding during extreme storms. These are locations where flooding can only be expected during the most extreme events (> 1000-year return period) or where there are only minor flood depths (shallow flooding) during 1000-year return period AEP. These values only appear in 0.1% ACFEP level since they only occur at the very upper extent of extreme flooding. Water surface elevation values in these regions can be set to 0.1 foot above the site-specific land elevation to provide an estimate of the water surface elevation. Site-specific survey information may be needed to determine the land elevation. These hatch areas directly match areas with 9999 values within the rasters.• FID 1 Hatch Type – These represent wave overtopping zones. These hatch layers encompass the 9997 areas, but also include areas that have known values. Hatched areas of this type covering 9997 values would be expected to experience flooding caused by intermittent wave spray and overtopping only. Hatched areas of this type covering locations with values indicate that the flooding is caused by both direct sheet flow and wave overtopping. These hatched zones are provided for informational purposes by identifying zones that may require special design considerations for wave overtopping. Site-specific coastal processes analysis may also be required in these areas.• FID 2 Hatch Type – These represent areas where geomorphology is extremely dynamic and as such expected flooding may vary drastically. These values can appear in any ACFEP level. There are minimal locations of this type. These hatch areas directly match areas with 9998 values within the rasters.

  5. a

    Address

    • data-jeffersoncounty.opendata.arcgis.com
    • hub.arcgis.com
    Updated Apr 18, 2023
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    Jefferson County, Colorado GIS (2023). Address [Dataset]. https://data-jeffersoncounty.opendata.arcgis.com/datasets/address
    Explore at:
    Dataset updated
    Apr 18, 2023
    Dataset authored and provided by
    Jefferson County, Colorado GIS
    License

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

    Area covered
    Description

    Data Type: Dynamic. Vintage: Current.Generated for Jefferson County Open Data. The Master Address data set is a collection of the known addresses in Jefferson County, Colorado. Address data are maintained by the Jefferson County ITS GIS Division. Notification of change to the address data set come from the county (unincorporated) and municipalities (incorporated).

  6. D

    PanelMarkings

    • data.seattle.gov
    • s.cnmilf.com
    • +3more
    csv, xlsx, xml
    Updated Feb 3, 2025
    + more versions
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    (2025). PanelMarkings [Dataset]. https://data.seattle.gov/dataset/PanelMarkings/wqmn-zt86
    Explore at:
    xlsx, xml, csvAvailable download formats
    Dataset updated
    Feb 3, 2025
    Description

    View of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.


    Common Data Layer: Common data layer created from a read only view from this feature layer. It is owned by SDOT Transportation account and will be made available in Open Data.

    Refresh Cycle: None, Dynamic via AutoCAD updates

    Channelization data consists of the following layers:
    1. Vertical Elements
    2. Lane Widths
    3. Panel Markings
    4. Longitudinal Markings
    5. Transverse Markings
    6. Legend and Symbols
    7. General Background

  7. a

    2024 Kenai Inventory Plot Locations

    • gis.data.alaska.gov
    • data-soa-dnr.opendata.arcgis.com
    Updated Jun 3, 2025
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    Alaska Department of Natural Resources ArcGIS Online (2025). 2024 Kenai Inventory Plot Locations [Dataset]. https://gis.data.alaska.gov/datasets/SOA-DNR::2024-kenai-inventory-public-view?layer=1
    Explore at:
    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Alaska Department of Natural Resources ArcGIS Online
    Area covered
    Description

    The State of Alaska Department of Natural Resources, Division of Forestry (DOF), contracted Terra Verde, Inc. (TVI), to construct a comprehensive and fully integrated forestland inventory for state lands encompassed by the geographic area known as the Kenai Peninsula. This project commenced in mid-2023 and will be referred to as the 2024 Kenai Inventory Project.

    Approximately 3,800 timber inventory plots were installed across the area of interest in order to develop stand level metrics on tree size, tree species and commercial timber volume.

    This inventory effort provides the spatial distribution, composition, and metrics of the forest today and enables us to analyze and project tomorrow’s forest with increased confidence. This inventory provides DOF decision makers with the reliable, defensible datasets to enable accurate, detailed management planning and projections.

    The forest industry in Alaska is becoming more dynamic and migrating to the management of integrated natural resources. With this inventory we now have the ability to analyze the intrinsic value these forestlands present for many other considerations such as wildlife, fisheries, cultural conservation, carbon sequestration, and alternative energy opportunities.

    This forestland inventory of available and potential forest resources on the Kenai Peninsula is the most robust and complete in-place stand based inventory effort in this area of the state.

  8. H

    WorldView 2 Imagery - Molokai

    • opendata.hawaii.gov
    • geoportal.hawaii.gov
    • +2more
    Updated Sep 5, 2025
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    Office of Planning (2025). WorldView 2 Imagery - Molokai [Dataset]. https://opendata.hawaii.gov/dataset/worldview-2-imagery-molokai
    Explore at:
    arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    Hawaii Statewide GIS Program
    Authors
    Office of Planning
    Area covered
    Moloka‘i
    Description

    USDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 50 centimeter ground resolution, image cast to the customer specified projection and datum defined in the Spatial Reference Information section of this metadata document. The overedge is included to facilitate tonal matching for mosaicking and ensure full coverage if the imagery is reprojected. The normal orientation of data is by lines (rows) and samples (columns). Each line contains a series of pixels ordered from west to east with the order of the lines from north to south.

    DigitalGlobe WorldView-2 Satellite Orthoimagery was delivered to USDA in GeoTIFF file format. USDA-NRCS-NGMC processed the DigitalGlobe delivered WorldView-2 (WV-2) Multi-Spectral/Pan data bundle to produce an 8 Band, 16 Bit Pan-Sharpen Mosaic using ERDAS 2011. Bands 2, 3 & 4 were subset from the 8 band, 16-bit mosaic to create a natural color (RGB) mosaic.The resulting mosaic was rescaled from 16-bit to 8-bit depth using ERDAS 2011. The image contrast level was adjusted using the Breakpoint editor and breakpoints were saved and applied to the LUT stretched output file. LizardTech GeoExpress 8 was used to create a compressed Generation 3 MrSID from the RGB mosaic. The MrSID compressed file is delivered with a separate FGDC compliant metadata file. The composite file contains the following three Multi-Spectral bands: Band 2: Blue (450 - 510 nm) Band 3: Green (510 - 580 nm) Band 4: Yellow (585 - 625 nm)

    For additional information, please contact Hawaii Statewide GIS Program, Office of Planning, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

  9. O

    CT 2016 Spring Aerial Imagery (4-band, 3inch, tiled)

    • data.ct.gov
    • geodata.ct.gov
    • +2more
    csv, xlsx, xml
    Updated Jan 29, 2025
    + more versions
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    UConn (2025). CT 2016 Spring Aerial Imagery (4-band, 3inch, tiled) [Dataset]. https://data.ct.gov/Environment-and-Natural-Resources/CT-2016-Spring-Aerial-Imagery-4-band-3inch-tiled-/afjw-wqmq
    Explore at:
    csv, xml, xlsxAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset authored and provided by
    UConn
    Description

    This image service is available through CTECO, a partnership between UConn CLEAR and CT DEEP. It is a virtual mosaic of 23,341 GeoTIFF tiles. This service is tiled for faster drawing speed. It is related to the dynamic service of the same dataset.


    Dataset Information
    Extent: Connecticut
    Dates: 2016 (March 12 - April 16), between snow melt and leaf out
    Bands: 4 (red, green, blue, near-infrared)
    Pixel resolution: 3 inch
    Image Tile Projection: CT State Plane NAD83 (2011) Feet (EPSG 6434)
    Service Projection: WGS 1984 Web Mercator Auxiliary Sphere (EPSG 3857)
    Tide Coordinated: Yes

    More Information

    Credit and Funding
    Capitol Region Council of Governments (COG), in cooperation with other COGs, with funding from the Office of Policy and Management's (OPM) Regional Performance Incentive Program. The Connecticut Department of Transportation (DOT) and Department of Emergency Services and Public Protection (DESPP) also contributed. The Sanborn Map Company was selected to carry out the project.

  10. H

    WorldView 2 Imagery - Hawaii Island

    • opendata.hawaii.gov
    • geoportal.hawaii.gov
    • +2more
    Updated Sep 5, 2025
    + more versions
    Share
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    Office of Planning (2025). WorldView 2 Imagery - Hawaii Island [Dataset]. https://opendata.hawaii.gov/dataset/worldview-2-imagery-hawaii-island
    Explore at:
    arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    Hawaii Statewide GIS Program
    Authors
    Office of Planning
    Area covered
    Hawaii
    Description

    USDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 50 centimeter ground resolution, image cast to the customer specified projection and datum defined in the Spatial Reference Information section of this metadata document. The overedge is included to facilitate tonal matching for mosaicking and ensure full coverage if the imagery is reprojected. The normal orientation of data is by lines (rows) and samples (columns). Each line contains a series of pixels ordered from west to east with the order of the lines from north to south.

    DigitalGlobe WorldView-2 Satellite Orthoimagery was delivered to USDA in GeoTIFF file format. USDA-NRCS-NGMC processed the DigitalGlobe delivered WorldView-2 (WV-2) Multi-Spectral/Pan data bundle to produce a pan sharpen, 3 bands product (Natural Color). The individual sections were rescaled to 8-bit and the statistics were recalculated before merging into a seamless 8-bit full island mosaic. Bands 2, 3 & 4 were subset from the 8 band, 16-bit mosaic to create a natural color (RGB) mosaic.The resulting mosaic was rescaled from 16-bit to 8-bit depth using ERDAS 2011. The image contrast level was adjusted using the Breakpoint editor and breakpoints were saved and applied to the LUT stretched output file. LizardTech GeoExpress 8 was used to create a compressed Generation 3 MrSID from the RGB mosaic. The MrSID compressed file is delivered with a separate FGDC compliant metadata file. The composite file contains the following three Multi-Spectral bands: Band 2: Blue (450 - 510 nm) Band 3: Green (510 - 580 nm) Band 4: Yellow (585 - 625 nm)

    For additional information, please contact Hawaii Statewide GIS Program, Office of Planning, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

  11. d

    Wastewater Main - Hamilton City Council

    • catalogue.data.govt.nz
    Updated Oct 21, 2019
    + more versions
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    Hamilton City Council (2019). Wastewater Main - Hamilton City Council [Dataset]. https://catalogue.data.govt.nz/dataset/activity/wastewater-main-hamilton-city-council1
    Explore at:
    zip, html, geojson, arcgis geoservices rest api, csv, kmlAvailable download formats
    Dataset updated
    Oct 21, 2019
    Dataset provided by
    Hamilton City Council
    Area covered
    Hamilton City, Hamilton
    Description

    This layer is part of Hamilton City Council's Wastewater Dataset.

    If you wish to download and consume this entire dataset - click on the link for the file format(s) of your choosing:

    Please note that the links above may change at any time. For best practice, please refer to this page for the correct links.

    If any of the links are above are not functioning, please let us know at gis@hcc.govt.nz.

    This Wastewater dataset contains the following layers:

    • Wastewater Abandoned Main (A wastewater main that is still in the ground, but is now disused and no longer forms part of the active network)
    • Wastewater Abandoned Manhole (A wastewater manhole that is still in the ground but is now disused and no longer forms part of the active network)
    • Wastewater Asbuilts (Plans showing the location and alignment of basic wastewater infrastructure as it was actually constructed on site, as provided by the contractor or their representatives Data has not yet been fully incorporated into the Council GIS or asset management system)
    • Wastewater Main (A pipe that receives wastewater from domestic and industrial sources and directs it toward the wastewater treatment plant)
    • Wastewater Manhole (An underground structure built over an opening in a pipe for the purpose of allowing operators or equipment access to the inside of the pipe)
    • Wastewater Node (A junction point in a pipe It can be a structure)
    • Wastewater Pump Station (A facility that raises wastewater from areas too low to drain by gravity, into existing pipes)
    • Wastewater Service Line (A gravity or pressure flow pipeline connecting a building’s wastewater system to a wastewater main)
    • Wastewater Storage Unit (A device used to contain or store effluent)
    • Wastewater Valve (A wastewater valve is used to shut off or regulate the flow of wastewater)

    Hamilton City Council 3 Waters data is derived from the Council’s GIS (ArcGIS) dataset. The GIS dataset is synchronised with asset data contained in the Council’s Asset Management (IPS) database. A subset of the GIS dataset has been made available for download.

    This GIS dataset is currently updated weekly which in turn dynamically updates to the WLASS open data site. Any questions pertaining to this data should be directed to the City Waters Asset Information Team at CityWatersAssetInfo@hcc.govt.nz

    Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works.

    Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data.

    While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data:

    <span style='font-size:11.5pt;

  12. O

    CT 2019 Spring Aerial Imagery (4-band, 6inch, tiled)

    • data.ct.gov
    • mystic-river-fandospatial.hub.arcgis.com
    • +1more
    csv, xlsx, xml
    Updated Jan 29, 2025
    + more versions
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    UConn (2025). CT 2019 Spring Aerial Imagery (4-band, 6inch, tiled) [Dataset]. https://data.ct.gov/Environment-and-Natural-Resources/CT-2019-Spring-Aerial-Imagery-4-band-6inch-tiled-/izbi-78a8
    Explore at:
    xml, csv, xlsxAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset authored and provided by
    UConn
    Description

    This image service is available through CTECO, a partnership between UConn CLEAR and CT DEEP. It is a virtual mosaic of 23,341 GeoTIFF tiles. This service is tiled for faster drawing speed. It is related to the dynamic service of the same dataset.


    Dataset Information
    Extent: Connecticut
    Dates: 2019 (March 24-April 25), between snow melt and leaf out
    Bands: 4 (red, green, blue, near-infrared)
    Pixel resolution: 6 inch
    Image Tile Projection: CT State Plane NAD83 (2011) Feet (EPSG 6434)
    Service Projection: WGS 1984 Web Mercator Auxiliary Sphere (EPSG 3857)
    Tide Coordinated: Yes

    More Information

    Credit and Funding
    Connecticut Office of Policy and Management (OPM), US Geological Survey (USGS), and the Natural Resource Conservation Service (NRCS)

  13. D

    Legend and Symbols

    • data.seattle.gov
    • s.cnmilf.com
    • +1more
    csv, xlsx, xml
    Updated Feb 3, 2025
    + more versions
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    (2025). Legend and Symbols [Dataset]. https://data.seattle.gov/dataset/Legend-and-Symbols/wwet-vixx
    Explore at:
    xlsx, xml, csvAvailable download formats
    Dataset updated
    Feb 3, 2025
    Description

    View of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.


    Common Data Layer: Common data layer created from a read only view from this feature layer. It is owned by SDOT Transportation account and will be made available in Open Data.

    Refresh Cycle: None, Dynamic via AutoCAD updates

    Channelization data consists of the following layers:
    1. Vertical Elements
    2. Lane Widths
    3. Panel Markings
    4. Longitudinal Markings
    5. Transverse Markings
    6. Legend and Symbols
    7. General Background

  14. i

    Global Partial Discharge Monitoring Systems Market Size, Share, Analysis...

    • intelevoresearch.com
    Updated Jun 18, 2025
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    https://www.intelevoresearch.com/ (2025). Global Partial Discharge Monitoring Systems Market Size, Share, Analysis Report By Type (Temporary Monitoring System, Permanent Monitoring System), Application (Power Cables, Transformers, GIS, Others), Region and Key Players - Industry Segment Overview, Market Dynamics, Competitive Strategies, Trends and Forecast 2025-2034 [Dataset]. https://www.intelevoresearch.com/reports/partial-discharge-monitoring-systems-market
    Explore at:
    Dataset updated
    Jun 18, 2025
    Dataset provided by
    https://www.intelevoresearch.com/
    License

    https://www.intelevoresearch.com/privacy-policyhttps://www.intelevoresearch.com/privacy-policy

    Description

    The Global Partial Discharge Monitoring Systems Market is projected to reach USD 920.4M by 2034, driven by high-voltage equipment monitoring and predictive maintenance.

  15. O

    CT 2012 Spring Aerial Imagery (4-band, 1 foot, tiled)

    • data.ct.gov
    • geodata.ct.gov
    • +1more
    csv, xlsx, xml
    Updated Jan 29, 2025
    + more versions
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    UConn (2025). CT 2012 Spring Aerial Imagery (4-band, 1 foot, tiled) [Dataset]. https://data.ct.gov/Environment-and-Natural-Resources/CT-2012-Spring-Aerial-Imagery-4-band-1-foot-tiled-/mkmk-8ps3
    Explore at:
    csv, xml, xlsxAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset authored and provided by
    UConn
    Area covered
    Connecticut
    Description

    This image service is available through CTECO, a partnership between UConn CLEAR and CT DEEP. It is a virtual mosaic of 6,131 GeoTIFF tiles. This service is tiled for faster drawing speed. It is related to the dynamic service of the same dataset.


    Dataset Information
    Extent: Connecticut
    Dates: 2012 (March 18-30), between snow melt and leaf out
    Bands: 4 (red, green, blue, near-infrared)
    Pixel resolution: 1 foot
    Image Tile Projection: CT State Plane NAD83 Feet (EPSG 2234)
    Service Projection: WGS 1984 Web Mercator Auxiliary Sphere (EPSG 3857)
    Tide Coordinated: Yes

    More Information

    Credit and Funding
    Funded through a partnership between the Connecticut Department of Emergency Services and Public Protection (DESPP), the Connecticut Department of Transportation (DOT), the National Geospatial Intelligence Agency (NGIA), along with the United States Geological Survey (USGS) who provided project management, contracting and quality assurance/quality control.

  16. w

    Global Gas Insulated Metal Enclosed Switchgear GIS Market Research Report:...

    • wiseguyreports.com
    Updated Aug 24, 2025
    + more versions
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    (2025). Global Gas Insulated Metal Enclosed Switchgear GIS Market Research Report: By Application (Power Generation, Renewable Energy, Industrial), By End Use (Utility, Commercial, Industrial), By Installation Type (Indoor, Outdoor), By Voltage Rating (Medium Voltage, High Voltage, Extra High Voltage) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/gas-insulated-metal-enclosed-switchgear-gis-market
    Explore at:
    Dataset updated
    Aug 24, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Aug 25, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20246.16(USD Billion)
    MARKET SIZE 20256.45(USD Billion)
    MARKET SIZE 203510.2(USD Billion)
    SEGMENTS COVEREDApplication, End Use, Installation Type, Voltage Rating, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSRising urbanization and infrastructure development, Increasing demand for renewable energy, Need for grid reliability and stability, Technological advancements in switchgear, Government initiatives for electrical safety
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDEmerson, Schneider Electric, Mersen, Toshiba, Crompton Greaves, Mitsubishi Electric, Nissin Electric, Hitachi Energy, Siemens, ABB, GE Grid Solutions, Mitsubishi Heavy Industries, L&T, Hyundai Electric, Eaton
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESIncreasing renewable energy integration, Urban infrastructure development, Aging electrical grid modernization, Demand for space-saving solutions, Expansion in emerging markets
    COMPOUND ANNUAL GROWTH RATE (CAGR) 4.7% (2025 - 2035)
  17. D

    GENBKGRND

    • data.seattle.gov
    • catalog.data.gov
    csv, xlsx, xml
    Updated Feb 3, 2025
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    (2025). GENBKGRND [Dataset]. https://data.seattle.gov/dataset/GENBKGRND/gzru-b8hr
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Feb 3, 2025
    Description

    View of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.


    Common Data Layer: Common data layer created from a read only view from this feature layer. It is owned by SDOT Transportation account and will be made available in Open Data.

    Refresh Cycle: None, Dynamic via AutoCAD updates

    Channelization data consists of the following layers:
    1. Vertical Elements
    2. Lane Widths
    3. Panel Markings
    4. Longitudinal Markings
    5. Transverse Markings
    6. Legend and Symbols
    7. General Background

  18. H

    WorldView 2 Imagery - Maui

    • opendata.hawaii.gov
    • geoportal.hawaii.gov
    • +1more
    Updated Sep 5, 2025
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    Office of Planning (2025). WorldView 2 Imagery - Maui [Dataset]. https://opendata.hawaii.gov/dataset/worldview-2-imagery-maui
    Explore at:
    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    Hawaii Statewide GIS Program
    Authors
    Office of Planning
    Area covered
    Maui
    Description

    USDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 50 centimeter ground resolution, image cast to the customer specified projection and datum defined in the Spatial Reference Information section of this metadata document. The overedge is included to facilitate tonal matching for mosaicking and ensure full coverage if the imagery is reprojected. The normal orientation of data is by lines (rows) and samples (columns). Each line contains a series of pixels ordered from west to east with the order of the lines from north to south.

    DigitalGlobe WorldView-2 Satellite Orthoimagery was delivered to USDA in GeoTIFF file format. USDA-NRCS-NGMC processed the DigitalGlobe delivered WorldView-2 (WV-2) Multi-Spectral/Pan data bundle to produce an 8 Band, 16 Bit Pan-Sharpen Mosaic using ERDAS 2011. Bands 2, 3 & 4 were subset from the 8 band, 16-bit mosaic to create a natural color (RGB) mosaic.The resulting mosaic was rescaled from 16-bit to 8-bit depth using ERDAS 2011. The image contrast level was adjusted using the Breakpoint editor and breakpoints were saved and applied to the LUT stretched output file. LizardTech GeoExpress 8 was used to create a compressed Generation 3 MrSID from the RGB mosaic. The MrSID compressed file is delivered with a separate FGDC compliant metadata file. The composite file contains the following three Multi-Spectral bands: Band 2: Blue (450 - 510 nm) Band 3: Green (510 - 580 nm) Band 4: Yellow (585 - 625 nm)

    For additional information, please contact Hawaii Statewide GIS Program, Office of Planning, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

  19. C

    Cubicle-type Gas Insulated Switchgears (C-GIS) Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Jul 9, 2025
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    Market Report Analytics (2025). Cubicle-type Gas Insulated Switchgears (C-GIS) Report [Dataset]. https://www.marketreportanalytics.com/reports/cubicle-type-gas-insulated-switchgears-c-gis-238601
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Discover the booming Cubicle-type Gas Insulated Switchgears (C-GIS) market! This in-depth analysis reveals key growth drivers, market size projections, leading companies, and regional trends shaping the future of power distribution. Explore CAGR, market segmentation, and challenges facing this dynamic sector.

  20. CPW Facilities

    • geodata.colorado.gov
    • mapping-trout.opendata.arcgis.com
    • +1more
    Updated Nov 9, 2017
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    Colorado Parks & Wildlife (2017). CPW Facilities [Dataset]. https://geodata.colorado.gov/datasets/CPW::cpw-facilities
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    Dataset updated
    Nov 9, 2017
    Dataset provided by
    Colorado Parks and Wildlifehttps://cpw.state.co.us/
    Authors
    Colorado Parks & Wildlife
    Area covered
    Description

    These data are used to display the public recreational facilities at all Colorado Parks and Wildlife owned properties. The original intent of these data were to show facilities at a park level scale. Over time, this has evolved to be a more comprehensive collection of all recreation facilities - as GIS technology has advanced to allow improved labelling / display of features. Data is being compiled at CPW Area offices in consultation with local Property Technicians and Field Ops staff using high resolution aerial photography (NAIP05, NAIP09) as a reference and at a scale where structures could be visually identified by Chris Johnson. These data were originally combined from individual park shapefiles in 2010 by Bill Gaertner, under the direction of Matt Schulz, Parks GIS Coordinator. Since then, Eric Drummond, temp Trails GIS Specialist, vastly improved upon the ability to use a unique CPW font and the Maplex label engine to have dynamic labelling of standard recreation facility symbols.

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(2025). Dynamic Message Signs [Dataset]. https://data.seattle.gov/dataset/Dynamic-Message-Signs/ruhs-jugf

Dynamic Message Signs

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csv, xlsx, xmlAvailable download formats
Dataset updated
Feb 3, 2025
Description

Displays dynamic message signs maintained by the Seattle Department of Transportation.


Views: Link, which adds the recommended filter for general use of the dataset: 'CURRENT_STATUS = 'INSVC''

Refresh Cycle: Daily

Feature Class: SDOT.V_DMS

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