20 datasets found
  1. a

    Potentiometric Surface of the Consolidated Aquifers in Miami County

    • gis-odnr.opendata.arcgis.com
    Updated Nov 6, 2024
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    Ohio Department of Natural Resources (2024). Potentiometric Surface of the Consolidated Aquifers in Miami County [Dataset]. https://gis-odnr.opendata.arcgis.com/datasets/potentiometric-surface-of-the-consolidated-aquifers-in-miami-county
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    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Ohio Department of Natural Resources
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Miami County
    Description

    Download .zipA potentiometric surface map is a contour map that represents the top of the ground water surface in an aquifer. The contour lines illustrate the potentiometric surface much like the contour lines of a topographic map represent a visual model of the ground surface. A potentiometric surface map is very similar to a water table map in that both show the horizontal direction and gradient of ground water flow.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Geological Survey2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6693Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed

  2. d

    Data from: Points for Maps: ArcGIS layer providing the site locations and...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Nov 21, 2025
    + more versions
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    U.S. Geological Survey (2025). Points for Maps: ArcGIS layer providing the site locations and the water-level statistics used for creating the water-level contour maps [Dataset]. https://catalog.data.gov/dataset/points-for-maps-arcgis-layer-providing-the-site-locations-and-the-water-level-statistics-u
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    Dataset updated
    Nov 21, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences in the percentiles of water levels for all months, between 1990-1999 and 2000-2009. The 80th, 90th, and 96th percentiles of the annual maximums of daily groundwater levels during 1974-2009 (a 35-year period) were computed to provide an indication of unusually high groundwater-level conditions. These maps and statistics provide a generalized understanding of the variations of water levels in the aquifer, rather than a survey of concurrent water levels. Water-level measurements from 473 sites in Miami-Dade County and surrounding counties were analyzed to generate statistical analyses. The monitored water levels included surface-water levels in canals and wetland areas and groundwater levels in the Biscayne aquifer. Maps were created by importing site coordinates, summary water-level statistics, and completeness of record statistics into a geographic information system, and by interpolating between water levels at monitoring sites in the canals and water levels along the coastline. Raster surfaces were created from these data by using the triangular irregular network interpolation method. The raster surfaces were contoured by using geographic information system software. These contours were imprecise in some areas because the software could not fully evaluate the hydrology given available information; therefore, contours were manually modified where necessary. The ability to evaluate differences in water levels between 1990-1999 and 2000-2009 is limited in some areas because most of the monitoring sites did not have 80 percent complete records for one or both of these periods. The quality of the analyses was limited by (1) deficiencies in spatial coverage; (2) the combination of pre- and post-construction water levels in areas where canals, levees, retention basins, detention basins, or water-control structures were installed or removed; (3) an inability to address the potential effects of the vertical hydraulic head gradient on water levels in wells of different depths; and (4) an inability to correct for the differences between daily water-level statistics. Contours are dashed in areas where the locations of contours have been approximated because of the uncertainty caused by these limitations. Although the ability of the maps to depict differences in water levels between 1990-1999 and 2000-2009 was limited by missing data, results indicate that near the coast water levels were generally higher in May during 2000-2009 than during 1990-1999; and that inland water levels were generally lower during 2000-2009 than during 1990-1999. Generally, the 25th, 50th, and 75th percentiles of water levels from all months were also higher near the coast and lower inland during 2000–2009 than during 1990-1999. Mean October water levels during 2000-2009 were generally higher than during 1990-1999 in much of western Miami-Dade County, but were lower in a large part of eastern Miami-Dade County.

  3. d

    Map 06: ArcGIS layer showing contours of the 25 percentile of October water...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Nov 27, 2025
    + more versions
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    U.S. Geological Survey (2025). Map 06: ArcGIS layer showing contours of the 25 percentile of October water levels during the 2000-2009 water years (feet) [Dataset]. https://catalog.data.gov/dataset/map-06-arcgis-layer-showing-contours-of-the-25-percentile-of-october-water-levels-during-t
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    Dataset updated
    Nov 27, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences in the percentiles of water levels for all months, between 1990-1999 and 2000-2009. The 80th, 90th, and 96th percentiles of the annual maximums of daily groundwater levels during 1974-2009 (a 35-year period) were computed to provide an indication of unusually high groundwater-level conditions. These maps and statistics provide a generalized understanding of the variations of water levels in the aquifer, rather than a survey of concurrent water levels. Water-level measurements from 473 sites in Miami-Dade County and surrounding counties were analyzed to generate statistical analyses. The monitored water levels included surface-water levels in canals and wetland areas and groundwater levels in the Biscayne aquifer. Maps were created by importing site coordinates, summary water-level statistics, and completeness of record statistics into a geographic information system, and by interpolating between water levels at monitoring sites in the canals and water levels along the coastline. Raster surfaces were created from these data by using the triangular irregular network interpolation method. The raster surfaces were contoured by using geographic information system software. These contours were imprecise in some areas because the software could not fully evaluate the hydrology given available information; therefore, contours were manually modified where necessary. The ability to evaluate differences in water levels between 1990-1999 and 2000-2009 is limited in some areas because most of the monitoring sites did not have 80 percent complete records for one or both of these periods. The quality of the analyses was limited by (1) deficiencies in spatial coverage; (2) the combination of pre- and post-construction water levels in areas where canals, levees, retention basins, detention basins, or water-control structures were installed or removed; (3) an inability to address the potential effects of the vertical hydraulic head gradient on water levels in wells of different depths; and (4) an inability to correct for the differences between daily water-level statistics. Contours are dashed in areas where the locations of contours have been approximated because of the uncertainty caused by these limitations. Although the ability of the maps to depict differences in water levels between 1990-1999 and 2000-2009 was limited by missing data, results indicate that near the coast water levels were generally higher in May during 2000-2009 than during 1990-1999; and that inland water levels were generally lower during 2000-2009 than during 1990-1999. Generally, the 25th, 50th, and 75th percentiles of water levels from all months were also higher near the coast and lower inland during 2000–2009 than during 1990-1999. Mean October water levels during 2000-2009 were generally higher than during 1990-1999 in much of western Miami-Dade County, but were lower in a large part of eastern Miami-Dade County.

  4. d

    Data from: Map 12: ArcGIS layer showing contours of the difference in May...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Oct 22, 2025
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    U.S. Geological Survey (2025). Map 12: ArcGIS layer showing contours of the difference in May Mean water levels from the water-year periods 1990 to 1999 and 2000 to 2009 (feet) [Dataset]. https://catalog.data.gov/dataset/map-12-arcgis-layer-showing-contours-of-the-difference-in-may-mean-water-levels-from-the-w
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    Dataset updated
    Oct 22, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences in the percentiles of water levels for all months, between 1990-1999 and 2000-2009. The 80th, 90th, and 96th percentiles of the annual maximums of daily groundwater levels during 1974-2009 (a 35-year period) were computed to provide an indication of unusually high groundwater-level conditions. These maps and statistics provide a generalized understanding of the variations of water levels in the aquifer, rather than a survey of concurrent water levels. Water-level measurements from 473 sites in Miami-Dade County and surrounding counties were analyzed to generate statistical analyses. The monitored water levels included surface-water levels in canals and wetland areas and groundwater levels in the Biscayne aquifer. Maps were created by importing site coordinates, summary water-level statistics, and completeness of record statistics into a geographic information system, and by interpolating between water levels at monitoring sites in the canals and water levels along the coastline. Raster surfaces were created from these data by using the triangular irregular network interpolation method. The raster surfaces were contoured by using geographic information system software. These contours were imprecise in some areas because the software could not fully evaluate the hydrology given available information; therefore, contours were manually modified where necessary. The ability to evaluate differences in water levels between 1990-1999 and 2000-2009 is limited in some areas because most of the monitoring sites did not have 80 percent complete records for one or both of these periods. The quality of the analyses was limited by (1) deficiencies in spatial coverage; (2) the combination of pre- and post-construction water levels in areas where canals, levees, retention basins, detention basins, or water-control structures were installed or removed; (3) an inability to address the potential effects of the vertical hydraulic head gradient on water levels in wells of different depths; and (4) an inability to correct for the differences between daily water-level statistics. Contours are dashed in areas where the locations of contours have been approximated because of the uncertainty caused by these limitations. Although the ability of the maps to depict differences in water levels between 1990-1999 and 2000-2009 was limited by missing data, results indicate that near the coast water levels were generally higher in May during 2000-2009 than during 1990-1999; and that inland water levels were generally lower during 2000-2009 than during 1990-1999. Generally, the 25th, 50th, and 75th percentiles of water levels from all months were also higher near the coast and lower inland during 2000–2009 than during 1990-1999. Mean October water levels during 2000-2009 were generally higher than during 1990-1999 in much of western Miami-Dade County, but were lower in a large part of eastern Miami-Dade County.

  5. d

    Data from: Table 7-1: Description of columns in the ArcGIS point file...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Nov 26, 2025
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    U.S. Geological Survey (2025). Table 7-1: Description of columns in the ArcGIS point file "Points for Maps" [Dataset]. https://catalog.data.gov/dataset/table-7-1-description-of-columns-in-the-arcgis-point-file-points-for-maps
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    Dataset updated
    Nov 26, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    Description of columns in the ArcGIS point file "Points for Maps" which provides the final statistics used to make the maps of mean daily water levels and maps of the 25th, 50th, and 75th percentiles of daily water levels during 2000–2009 in Miami-Dade County; and maps showing the differences in the statistics of water levels between 1990–1999 and 2000–2009.

  6. a

    Future Land Use

    • gis-mdc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jun 5, 2018
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    Miami-Dade County, Florida (2018). Future Land Use [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/future-land-use
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    Dataset updated
    Jun 5, 2018
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    THIS PLAN IS NOT A ZONING MAP. Within each map category on this plan map, numerous land uses, zoning districts and housing types may occur. This plan map may be interpreted only as provided in the adopted plan text entitled: Interpretation of The Land Use Plan Map: Adopted Policy Of The Land Use Element. That adopted text provides necessary definitions and standards for allowable land uses, densities, or intensities of use for each map category, and for interpretation and application of the plan as a whole. The adopted text must be consulted in its entirety in interpreting any one plan map category, and no provision shall be used in isolation from the remainder. Restrictions accepted by the Board of County Commissioners in association with Land Use Plan map amendments shall be considered as an adopted part of the Comprehensive Development Master Plan (CDMP) and are delineated in the adopted text.This Land Use Plan (LUP) map, in conjunction with all other adopted components of the CDMP, will govern all development-related actions taken or authorized by Miami-Dade County. The LUP map generally reflects municipal land use policies adopted in comprehensive plans. However, with limited exceptions enumerated in the Statement of Legislative Intent, this plan does not supersede local land use authority of incorporated municipal governments authorized in accordance with the Miami-Dade County Charter. For further guidance on future land uses authorized within incorporated municipalities, consult the local comprehensive plan adopted by the pertinent municipality.Updated: Weekly The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  7. a

    County and Municipal Bus Stop View Layer

    • gis-mdc.opendata.arcgis.com
    • opendata.miamidade.gov
    • +1more
    Updated Nov 24, 2021
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    Miami-Dade County, Florida (2021). County and Municipal Bus Stop View Layer [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/MDC::county-and-municipal-bus-stop-view-layer/explore
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    Dataset updated
    Nov 24, 2021
    Dataset authored and provided by
    Miami-Dade County, Florida
    Area covered
    Description

    A point View Layer representing the location of Miami-Dade Bus Stops. This View Layer was created from the Bus Stop Maintenance hosted feature layer which is updated regularly by the Miami-Dade Department of Transportation and Public Works, Transportation Planning Policy, Transit Service Planning. This view layer layer includes, among other attributes, active and inactive Bus Stop as well as amenities counts and status. In case of lack of power, internet or any other problem, there is an hourly backup of this layer in Miami-Dade ArcGIS Enterprise (Portal) in the Group DTPW Collaboration.

  8. a

    Stormwater Line

    • gis-mdc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Dec 19, 2014
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    Miami-Dade County, Florida (2014). Stormwater Line [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/MDC::stormwater-line/about
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    Dataset updated
    Dec 19, 2014
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A line feature class that represents all drainage features for the Unincorporated Miami-Dade County Service Area (UMSA), which can be represented by lines in a map, are represented in this layer, such as outfalls, culverts, infiltration trenches, ditches in the drainage network. The data was collected through permit files, surveys and тАЬas-builtsтАЭ, representing the best available information for each location at the time the layer was published.Updated: Monthly The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  9. a

    Certificates of Use Issued by Miami-Dade County - Jan 2003 to present

    • gis-mdc.opendata.arcgis.com
    • opendata.miamidade.gov
    • +1more
    Updated Dec 5, 2022
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    Miami-Dade County, Florida (2022). Certificates of Use Issued by Miami-Dade County - Jan 2003 to present [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/certificates-of-use-issued-by-miami-dade-county-jan-2003-to-present
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    Dataset updated
    Dec 5, 2022
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Certificates of Use Issued by Miami-Dade County - Jan 2003 to present.This data set includes Certificates of Use (also called a C.U. or zoning permit) issued by Miami-Dade County from January 2003 to present. The C.U. assures that the business is allowed in the zoning district where it is located. It also verifies that the structure was built for the proposed type of business. Prior to opening any business in unincorporated Miami-Dade County, a C.U. must be obtained. A C.U. is required when an industrial or commercial building is erected, altered or enlarged, or an existing building goes through a change of occupant, name or type of business.

  10. a

    Contaminated Site

    • gis-mdc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Dec 11, 2014
    + more versions
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    Miami-Dade County, Florida (2014). Contaminated Site [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/contaminated-site
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    Dataset updated
    Dec 11, 2014
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A point feature class of open DERM Contaminated sites within Miami-Dade County. See phase code for the status of the site. Contaminated Sites, identifies properties where environmental contamination has been documented in the soil or groundwater. Facilities get listed as a contaminated site by a DERM inspector who finds a violation on the property. Facilities that store potentially contaminated materials are permitted and/or tracked by DERM. A site is removed from the active contaminated sites layer/list when the site is found by DERM to be cleaned up.Updated: WeeklyThe data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  11. a

    CRR WebMap

    • cg-hubdev-cggis.opendata.arcgis.com
    • cg-hubdev2-cggis.opendata.arcgis.com
    • +1more
    Updated Apr 21, 2020
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    Gables GIS (2020). CRR WebMap [Dataset]. https://cg-hubdev-cggis.opendata.arcgis.com/maps/e1061688ead24bbe848d31646464b205
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    Dataset updated
    Apr 21, 2020
    Dataset authored and provided by
    Gables GIS
    Area covered
    Description

    Tracking response rates of Coral Gables residents across the city and by their census tract.Statistic show the ongoing, cumulative response rates (CRR) for place (cities) in Miami Dade County; and, for census tracts in and around Coral Gables.The information is collected through the 2020 Census online resources and made into 2 map layers. One layer shows CRR for cities in Miami Dade. The other layer shows CRR for census tracts in and around Coral Gables. Click on a city or tract will show a popup that shows the name and response rate for the object.Direct any question to the Information Technology GIS section itsd@coralgables.com; or by calling the IT Help Desk at 305 569 2448 (HELP).

  12. a

    Building Footprint 2D 2017

    • gis-mdc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Nov 30, 2017
    + more versions
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    Miami-Dade County, Florida (2017). Building Footprint 2D 2017 [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/building-footprint-2d-2017
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    Dataset updated
    Nov 30, 2017
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A collection of polygon features for all buildings within the Urban Development Boundary (UDB) and outside the UDB, approximately 938 square miles. The planimetric layer for Miami-Dade County was previously updated in 2012 by Aerial Cartographics of America, Inc. (ACA). This feature class contains features extracted from LiDAR captured by ACA in 2015. The process to extract the buildings planimetric is explained in the document '2D Building Footprint Extraction Process Document'. The process to review and apply quality controls techniques to extracted buildings planimetric is explained in the document '2D Building Footprint Extraction Quality Control'. Please contact the GIS Technical Support Team at gis@miamidade.gov for additional information. Definition of particular fields in the Buildings Footprint 2D feature class: Source = {'L', 'P'} where L = LiDAR, P = MDC Planimetric Bld_type = {'S', 'L'} where S = Small Buildings, L = Large BuildingsUpdated: Unknown The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  13. a

    EEL Property Feature Layer

    • hub.arcgis.com
    • opendata.miamidade.gov
    Updated May 16, 2023
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    Miami-Dade County, Florida (2023). EEL Property Feature Layer [Dataset]. https://hub.arcgis.com/datasets/1a837f806067444691cce0ed7d6b441b
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    Dataset updated
    May 16, 2023
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Properties and parts of properties, purchased, managed and/or tracked for purchase by Miami-Dade Countys Environmentally Endangered Lands (EEL) program.Some areas include only portions of properties. In those cases, only the portions of the properties that have been either purchased and/or managed by the EEL Program or are on the EEL Acquisition List are included. Please note, property boundaries and folios may change. Please be aware that the data represented in the shapefile is generalized and is intended as an illustration only. The data is not intended for in-depth analysis and materials contained in the shapefile are provided AS IS and may contain inaccuracies. The user is warned to utilize the data at the users own risk. It is always best to check with the EEL Program if you need detailed information on any properties represented in the shapefile. If you have any questions or need assistance, email eel@miamidade.govor call 305-372-6687.The County's EEL Program was established to implement the mandate of the voter referendum to acquire, preserve, enhance, restore, conserve and maintain environmentally endangered lands for the benefit of present and future generations. The EEL Program identifies and purchases these lands for preservation, conservation, restoration, and enhancement. The County, in partnership with the South Florida Water Management District, the State of Florida, and other funding partners, has acquired approximately 24,084 acres of land in Miami-Dade County since the inception of the EEL Program through February 28, 2023. In addition, the EEL Program currently manages over 28,000 acres of land in Miami-Dade County.Updated: As AnnuallyThe data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  14. a

    Environmentally Endangered Land Covenant

    • gis-mdc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jan 4, 2019
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    Miami-Dade County, Florida (2019). Environmentally Endangered Land Covenant [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/environmentally-endangered-land-covenant/api
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    Dataset updated
    Jan 4, 2019
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A point feature class of Environmentally Endangered Land (EEL) Covenant sites within Miami-Dade County. In an attempt to preserve remaining forestlands in Miami-Dade County outside of Everglades National Park, and to provide property owners with an economic incentive to preserve forestland, the Miami-Dade County Commission adopted the Environmentally Endangered Lands Tax Covenant Ordinance in December 1979. The ordinance established significantly lower property tax assessments for outstanding forested sites, which are zoned for agriculture or residential usage. The Miami-Dade County Department of Regulatory and Economic Resources (RER) Environmental Resources Management is responsible for administering the Environmentally Endangered Lands Tax Exemption Program. The rapid urbanization of Miami-Dade County has resulted in the virtual elimination of our once extensive pine and hammock forestlands. The Environmentally Endangered Lands Tax Exemption Program (EEL covenant program) creates temporarily protected areas where laws have not, sometimes in areas most vulnerable to development pressure. The EEL covenant program is codified by reference under Chapter 25B, Article II, of the Miami-Dade County Code as authorized by Section 193.501, Florida Statutes. Under the program, landowners enter into a ten-year conservation agreement with Miami-Dade County, where property owners agree to maintain a portion of their land in its natural condition in exchange for a tax reduction of 90% on the portion of the land set aside for conservation.Updated: As Needed The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  15. a

    Purchase Orders (ADPICS) - 2019

    • gis-mdc.opendata.arcgis.com
    • opendata.miamidade.gov
    • +1more
    Updated May 1, 2019
    + more versions
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    Miami-Dade County, Florida (2019). Purchase Orders (ADPICS) - 2019 [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/faa8e37c8b2a4465afb396c582870614
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    Dataset updated
    May 1, 2019
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This data set includes Purchase Orders (PO) logged in Miami-Dade County's Advanced Purchasing and Inventory Control System (ADPICS). The data include PO's in one of the following statuses – Posted, Partially Vouchered, Closed.

  16. a

    Derm Water Control Class 6 Permit

    • gis-mdc.opendata.arcgis.com
    • opendata.miamidade.gov
    • +1more
    Updated Feb 19, 2016
    + more versions
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    Miami-Dade County, Florida (2016). Derm Water Control Class 6 Permit [Dataset]. https://gis-mdc.opendata.arcgis.com/maps/derm-water-control-class-6-permit
    Explore at:
    Dataset updated
    Feb 19, 2016
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A polygon feature class of construction projects where there are permits for construction of drainage systems in industrial or contaminated sites within Miami-Dade County. This program is for the construction of drainage systems to be installed in contaminated or industrial sites. The purpose is to protect the environment from potential hazards generated in association with industrial sites, landfills, contaminated sites, resource recovery facilities, etc.Updated: Weekly The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  17. a

    Stormwater Point

    • gis-mdc.opendata.arcgis.com
    • uscssi.hub.arcgis.com
    • +1more
    Updated Dec 19, 2014
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    Miami-Dade County, Florida (2014). Stormwater Point [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/stormwater-point
    Explore at:
    Dataset updated
    Dec 19, 2014
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A point feature class that represents all drainage features for the Unincorporated Miami-Dade County Service Area (UMSA), which can be represented by points in a map, are represented in this layer, such as manholes, catch basins, drainage wells, inlets, valves, weirs and canal cross sections in the drainage network. The data was collected through permit files, surveys and тАЬas-builtsтАЭ, representing the best available information for each location at the time the layer was published.Updated: Monthly The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  18. a

    Change in Non-Auto Mode Share (since 2014)

    • gis-mdc.opendata.arcgis.com
    • opendata.miamidade.gov
    • +1more
    Updated Apr 2, 2021
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    Miami-Dade County, Florida (2021). Change in Non-Auto Mode Share (since 2014) [Dataset]. https://gis-mdc.opendata.arcgis.com/maps/MDC::change-in-non-auto-mode-share-since-2014
    Explore at:
    Dataset updated
    Apr 2, 2021
    Dataset authored and provided by
    Miami-Dade County, Florida
    Area covered
    Description

    Source: Trend visualization of census blocks showing the change in commute share that is non-automotive.

    Purpose: Tile layer utilized for visualization.

    Contact Information: Charles Rudder (crudder@citiesthatwork.com)/ Alex Bell (abell@citiesthatwork.com)

  19. a

    Change in jobs within 60 minutes by Auto since 2014

    • gis-mdc.opendata.arcgis.com
    Updated Apr 24, 2021
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    Miami-Dade County, Florida (2021). Change in jobs within 60 minutes by Auto since 2014 [Dataset]. https://gis-mdc.opendata.arcgis.com/items/ed239bf7545b4e8abbf40c58aa855408
    Explore at:
    Dataset updated
    Apr 24, 2021
    Dataset authored and provided by
    Miami-Dade County, Florida
    Area covered
    Description

    Source:

    Purpose: Tile layer utilized for visualization.

    Contact Information: Charles Rudder (crudder@citiesthatwork.com)/ Alex Bell (abell@citiesthatwork.com)

  20. a

    Change in Floor Area Ratio by Block since 2014

    • gis-mdc.opendata.arcgis.com
    Updated Apr 2, 2021
    + more versions
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    Miami-Dade County, Florida (2021). Change in Floor Area Ratio by Block since 2014 [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/change-in-floor-area-ratio-by-block-since-2014-
    Explore at:
    Dataset updated
    Apr 2, 2021
    Dataset authored and provided by
    Miami-Dade County, Florida
    Area covered
    Description

    Source:

    Purpose: Tile layer utilized for visualization.

    Contact Information: Charles Rudder (crudder@citiesthatwork.com)/ Alex Bell (abell@citiesthatwork.com)

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Ohio Department of Natural Resources (2024). Potentiometric Surface of the Consolidated Aquifers in Miami County [Dataset]. https://gis-odnr.opendata.arcgis.com/datasets/potentiometric-surface-of-the-consolidated-aquifers-in-miami-county

Potentiometric Surface of the Consolidated Aquifers in Miami County

Explore at:
Dataset updated
Nov 6, 2024
Dataset authored and provided by
Ohio Department of Natural Resources
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Area covered
Miami County
Description

Download .zipA potentiometric surface map is a contour map that represents the top of the ground water surface in an aquifer. The contour lines illustrate the potentiometric surface much like the contour lines of a topographic map represent a visual model of the ground surface. A potentiometric surface map is very similar to a water table map in that both show the horizontal direction and gradient of ground water flow.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Geological Survey2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6693Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed

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