16 datasets found
  1. K

    Charleston County, South Carolina County Tax Districts

    • koordinates.com
    csv, dwg, geodatabase +6
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    Charleston County, South Carolina, Charleston County, South Carolina County Tax Districts [Dataset]. https://koordinates.com/layer/96970-charleston-county-south-carolina-county-tax-districts/
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    shapefile, csv, mapinfo tab, dwg, pdf, geodatabase, geopackage / sqlite, mapinfo mif, kmlAvailable download formats
    Dataset authored and provided by
    Charleston County, South Carolina
    Area covered
    Description

    Geospatial data about Charleston County, South Carolina County Tax Districts. Export to CAD, GIS, PDF, CSV and access via API.

  2. K

    Charleston County, SC EOC Operational Areas

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 12, 2018
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    Charleston County, SC EOC Operational Areas [Dataset]. https://koordinates.com/layer/96982-charleston-county-sc-eoc-operational-areas/
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    geopackage / sqlite, pdf, csv, mapinfo mif, dwg, mapinfo tab, geodatabase, kml, shapefileAvailable download formats
    Dataset updated
    Sep 12, 2018
    Dataset authored and provided by
    Charleston County, South Carolina
    Area covered
    Description

    © Charleston County EM, Charleston County GIS

    This layer is a component of Map document containing base layers for EOC support.

  3. K

    Charleston County, South Carolina Address Points

    • koordinates.com
    csv, dwg, geodatabase +6
    + more versions
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    Charleston County, South Carolina, Charleston County, South Carolina Address Points [Dataset]. https://koordinates.com/layer/96967-charleston-county-south-carolina-address-points/
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    geodatabase, kml, csv, shapefile, pdf, mapinfo tab, dwg, geopackage / sqlite, mapinfo mifAvailable download formats
    Dataset authored and provided by
    Charleston County, South Carolina
    Area covered
    Description

    Geospatial data about Charleston County, South Carolina Address Points. Export to CAD, GIS, PDF, CSV and access via API.

  4. Shoreline Mapping Program of PORT OF CHARLESTON, SC, SC0601

    • fisheries.noaa.gov
    • s.cnmilf.com
    • +1more
    Updated Jan 1, 2020
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    National Geodetic Survey (2020). Shoreline Mapping Program of PORT OF CHARLESTON, SC, SC0601 [Dataset]. https://www.fisheries.noaa.gov/inport/item/61786
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    pdf - adobe portable document formatAvailable download formats
    Dataset updated
    Jan 1, 2020
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    Feb 13, 2006
    Area covered
    Description

    These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF CHARLESTON, SC . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribu...

  5. a

    Master Drainage Plan

    • data-charleston-sc.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Sep 14, 2020
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    python_chs (2020). Master Drainage Plan [Dataset]. https://data-charleston-sc.opendata.arcgis.com/items/f0fc8b20f16a45af80fb4ba975e1fe32
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    Dataset updated
    Sep 14, 2020
    Dataset authored and provided by
    python_chs
    Area covered
    Description

    Georeferenced tiled images of the 1984 City of Charleston Master Drainage Plan.

  6. c

    Shoreline Data Rescue Project of Charleston, SC to Savannah, GA II, PH6407A

    • s.cnmilf.com
    • fisheries.noaa.gov
    • +1more
    Updated Oct 31, 2024
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    NGS Communications and Outreach Branch (Point of Contact, Custodian) (2024). Shoreline Data Rescue Project of Charleston, SC to Savannah, GA II, PH6407A [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/shoreline-data-rescue-project-of-charleston-sc-to-savannah-ga-ii-ph6407a1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    NGS Communications and Outreach Branch (Point of Contact, Custodian)
    Area covered
    Savannah, Georgia, South Carolina, Charleston
    Description

    These data were automated to provide an accurate high-resolution historical shoreline of Charleston, SC to Savannah, GA II suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

  7. d

    Shoreline Data Rescue Project of Winyah Bay to Charleston Harbor, SC, PH6216...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Oct 31, 2024
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    NGS Communications and Outreach Branch (Point of Contact, Custodian) (2024). Shoreline Data Rescue Project of Winyah Bay to Charleston Harbor, SC, PH6216 [Dataset]. https://catalog.data.gov/dataset/shoreline-data-rescue-project-of-winyah-bay-to-charleston-harbor-sc-ph62161
    Explore at:
    Dataset updated
    Oct 31, 2024
    Dataset provided by
    NGS Communications and Outreach Branch (Point of Contact, Custodian)
    Area covered
    Charleston Harbor, Winyah Bay, South Carolina, Charleston
    Description

    These data were automated to provide an accurate high-resolution historical shoreline of Winyah Bay to Charleston Harbor, SC suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

  8. K

    Berkeley County, South Carolina EMS Stations

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Nov 9, 2018
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    Berkeley County, South Carolina EMS Stations [Dataset]. https://koordinates.com/layer/98620-berkeley-county-south-carolina-ems-stations/
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    csv, mapinfo mif, geodatabase, mapinfo tab, geopackage / sqlite, pdf, kml, shapefile, dwgAvailable download formats
    Dataset updated
    Nov 9, 2018
    Dataset authored and provided by
    Berkeley County, South Carolina
    Area covered
    Description

    © Berkeley County GIS

  9. Evening Air Temperature in Cities - Urban Heat Islands

    • heat.gov
    • community-climatesolutions.hub.arcgis.com
    • +3more
    Updated Nov 8, 2021
    + more versions
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    NOAA GeoPlatform (2021). Evening Air Temperature in Cities - Urban Heat Islands [Dataset]. https://www.heat.gov/datasets/4653db8862ab4230acdf618903fd28c5
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    Dataset updated
    Nov 8, 2021
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Urban heat islands are small areas where temperatures are unnaturally high - usually due to dense buildings, expansive hard surfaces, or a lack of tree cover or greenspace. People living in these communities are exposed to more dangerous conditions, especially as daytime high and nighttime low temperatures increase over time. NOAA Climate Program Office and CAPA Strategies have partnered with cities around the United States to map urban heat islands. Using Sentinel-2 satellite thermal data along with on-the-ground sensors, air temperature and heat indexes are calculated for morning, afternoon, and evening time periods. The NOAA Visualization Lab, part of the NOAA Satellite and Information Service, has made the original heat mapping data available as dynamic image services.Dataset SummaryPhenomenon Mapped: air temperatureUnits: degrees Fahrenheit Cell Size: 30 metersPixel Type: 32 bit floating pointData Coordinate Systems: WGS84 Mosaic Projection: WGS84 Extent: cities within the United StatesSource: NOAA and CAPA StrategiesPublication Date: September 20, 2021What can you do with this layer?This imagery layer supports communities' UHI spatial analysis and mapping capabilities. The symbology can be manually changed, or a processing template applied to the layer will provide a custom rendering. Each city can be queried.Related layers include Morning Air Temperature and Afternoon Air Temperature. Cities IncludedBoulder, CO Brooklyn, NY Greenwich Village, NY Columbia, SC Columbia, MO Columbus, OH Knoxville, TN Jacksonville, FL Las Vegas, NV Milwaukee, WI Nashville, TN Omaha, NE Philadelphia, PA Rockville, MD Gaithersburg, MD Takoma Park, MD San Francisco, CA Spokane, WA Abingdon, VA Albuquerque, NM Arlington, MA Woburn, MA Arlington, VA Atlanta, GA Charleston, SC Charlottesville, VA Clarksville, IN Farmville, VA Gresham, OR Harrisonburg, VA Kansas City, MO Lynchburg, VA Manhattan, NY Bronx, NY Newark, NJ Jersey City, NJ Elizabeth, NJ Petersburg, VA Raleigh, NC Durham, NC Richmond, VA Richmond, IN Salem, VA San Diego, CA Virginia Beach, VA Winchester, VA Austin, TX Burlington, VT Cincinnati, OH Detroit, MI El Paso, TX Houston, TX Jackson, MS Las Cruces, NM Miami, FL New Orleans, LA Providence, RI Roanoke, VA San Jose, CA Seattle, WA Vancouver, BC Canada Boston, MA Fort Lauderdale, FL Honolulu, HI Boise, ID Nampa, ID Los Angeles, CA Yonkers, NY Oakland, CA Berkeley, CA San Juan, PR Sacramento, CA San Bernardino, CA Victorville, CA West Palm Beach, FL Worcester, MA Washington, D.C. Baltimore, MD Portland, ORCities may apply to be a part of the Heat Watch program through the CAPA Strategies website. Attribute Table Informationcity_name: Evening Air Temperature Observations in Floating-Point (°F)

  10. d

    Shoreline Data Rescue Project of Ashley River and Charleston Bay, SC,...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Oct 31, 2024
    + more versions
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    NGS Communications and Outreach Branch (Point of Contact, Custodian) (2024). Shoreline Data Rescue Project of Ashley River and Charleston Bay, SC, SC1928A [Dataset]. https://catalog.data.gov/dataset/shoreline-data-rescue-project-of-ashley-river-and-charleston-bay-sc-sc1928a1
    Explore at:
    Dataset updated
    Oct 31, 2024
    Dataset provided by
    NGS Communications and Outreach Branch (Point of Contact, Custodian)
    Area covered
    Ashley River, Charleston Harbor, South Carolina, Charleston
    Description

    These data were automated to provide an accurate high-resolution historical shoreline of Ashley River and Charleston Bay, SC suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

  11. Afternoon Heat Index in Cities - Urban Heat Islands

    • heat.gov
    • hub.arcgis.com
    • +2more
    Updated Nov 8, 2021
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    NOAA GeoPlatform (2021). Afternoon Heat Index in Cities - Urban Heat Islands [Dataset]. https://www.heat.gov/datasets/noaa::afternoon-heat-index-in-cities-urban-heat-islands/about
    Explore at:
    Dataset updated
    Nov 8, 2021
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Urban heat islands are small areas where temperatures are unnaturally high - usually due to dense buildings, expansive hard surfaces, or a lack of tree cover or greenspace. People living in these communities are exposed to more dangerous conditions, especially as daytime high and nighttime low temperatures increase over time. NOAA Climate Program Office and CAPA Strategies have partnered with cities around the United States to map urban heat islands. Using Sentinel-2 satellite thermal data along with on-the-ground sensors, air temperature and heat indexes are calculated for morning, afternoon, and evening time periods. The NOAA Visualization Lab, part of the NOAA Satellite and Information Service, has made the original heat mapping data available as dynamic image services.Dataset SummaryPhenomenon Mapped: heat indexUnits: degrees Fahrenheit Cell Size: 30 metersPixel Type: 32 bit floating pointData Coordinate Systems: WGS84 Mosaic Projection: WGS84 Extent: cities within the United StatesSource: NOAA and CAPA StrategiesPublication Date: September 20, 2021What can you do with this layer?This imagery layer supports communities' UHI spatial analysis and mapping capabilities. The symbology can be manually changed, or a processing template applied to the layer will provide a custom rendering. Each city can be queried.Related layers include Morning Heat Index and Evening Heat Index. Cities IncludedBoulder, CO Brooklyn, NY Greenwich Village, NY Columbia, SC Columbia, MO Columbus, OH Knoxville, TN Jacksonville, FL Las Vegas, NV Milwaukee, WI Nashville, TN Omaha, NE Philadelphia, PA Rockville, MD Gaithersburg, MD Takoma Park, MD San Francisco, CA Spokane, WA Abingdon, VA Albuquerque, NM Arlington, MA Woburn, MA Arlington, VA Atlanta, GA Charleston, SC Charlottesville, VA Clarksville, IN Farmville, VA Gresham, OR Harrisonburg, VA Kansas City, MO Lynchburg, VA Manhattan, NY Bronx, NY Newark, NJ Jersey City, NJ Elizabeth, NJ Petersburg, VA Raleigh, NC Durham, NC Richmond, VA Richmond, IN Salem, VA San Diego, CA Virginia Beach, VA Winchester, VA Austin, TX Burlington, VT Cincinnati, OH Detroit, MI El Paso, TX Houston, TX Jackson, MS Las Cruces, NM Miami, FL New Orleans, LA Providence, RI Roanoke, VA San Jose, CA Seattle, WA Vancouver, BC Canada Boston, MA Fort Lauderdale, FL Honolulu, HI Boise, ID Nampa, ID Los Angeles, CA Yonkers, NY Oakland, CA Berkeley, CA San Juan, PR Sacramento, CA San Bernardino, CA Victorville, CA West Palm Beach, FL Worcester, MA Washington, D.C. Baltimore, MD Portland, ORCities may apply to be a part of the Heat Watch program through the CAPA Strategies website. Attribute Table Informationcity_name: Afternoon Heat Index Observations in Floating-Point (°F)

  12. K

    South Carolina Railroads

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 13, 2018
    + more versions
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    State of South Carolina (2018). South Carolina Railroads [Dataset]. https://koordinates.com/layer/96992-south-carolina-railroads/
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    geopackage / sqlite, csv, shapefile, geodatabase, kml, pdf, dwg, mapinfo mif, mapinfo tabAvailable download formats
    Dataset updated
    Sep 13, 2018
    Dataset authored and provided by
    State of South Carolina
    Area covered
    Description

    This layer is a component of SC Statewide Highways and Roads.

    © SC DOT, SC Counties, SC Geographic Information Council

  13. SC Native Businesses

    • hub.arcgis.com
    Updated May 1, 2015
    + more versions
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    Santee Cooper GIS Laboratory - College of Charleston (2015). SC Native Businesses [Dataset]. https://hub.arcgis.com/maps/32401c9cff244075ae7e296f96402dab
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    Dataset updated
    May 1, 2015
    Dataset provided by
    Santee Cooperhttp://www.santeecooper.com/
    Authors
    Santee Cooper GIS Laboratory - College of Charleston
    Area covered
    Description

    This layer shows the known Native American owned/operated businesses in South Carolina. Each business was arbitrarily assigned to a different type of business category. Categories include: cleaning services, construction/landscaping, consultation, healthcare, manufacturing, religious/cultural, restaurants, technological services, and other.

  14. Marine Artificial Reefs Map

    • hub.arcgis.com
    Updated Jun 25, 2019
    + more versions
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    South Carolina Department of Natural Resources (2019). Marine Artificial Reefs Map [Dataset]. https://hub.arcgis.com/maps/3465a369147943c098c4eed08f8dd0cb
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    Dataset updated
    Jun 25, 2019
    Dataset authored and provided by
    South Carolina Department of Natural Resourceshttp://www.dnr.sc.gov/
    Area covered
    Description

    The Marine Resources Division of the South Carolina Department of Natural Resources (SCDNR) manages more than 40 artificial reefs in the estuarine and offshore waters of South Carolina. These reef sites are constructed from a variety of durable materials and provide great habitat for a wide variety of species. We encourage our citizens to explore these reefs by fishing or diving. Learn more about our Artificial Reef Program

  15. a

    sc boundry

    • hub.arcgis.com
    Updated May 1, 2015
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    Santee Cooper GIS Laboratory - College of Charleston (2015). sc boundry [Dataset]. https://hub.arcgis.com/datasets/SCGIS::locator-layers-online/about?layer=2
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    Dataset updated
    May 1, 2015
    Dataset authored and provided by
    Santee Cooper GIS Laboratory - College of Charleston
    Area covered
    Description

    U.S. States represents the 50 states, the District of Columbia, and Puerto Rico of the United States.

  16. a

    Landcover 1992

    • hub.arcgis.com
    Updated Apr 30, 2015
    + more versions
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    Santee Cooper GIS Laboratory - College of Charleston (2015). Landcover 1992 [Dataset]. https://hub.arcgis.com/datasets/SCGIS::landcover-1992
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    Dataset updated
    Apr 30, 2015
    Dataset authored and provided by
    Santee Cooper GIS Laboratory - College of Charleston
    Area covered
    Description

    Landcover in Charleston, Savannah, Charlotte, Greenville, and Columbia in 1992. Original Data from NLCD, coverage type adapted.

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

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Charleston County, South Carolina, Charleston County, South Carolina County Tax Districts [Dataset]. https://koordinates.com/layer/96970-charleston-county-south-carolina-county-tax-districts/

Charleston County, South Carolina County Tax Districts

Explore at:
shapefile, csv, mapinfo tab, dwg, pdf, geodatabase, geopackage / sqlite, mapinfo mif, kmlAvailable download formats
Dataset authored and provided by
Charleston County, South Carolina
Area covered
Description

Geospatial data about Charleston County, South Carolina County Tax Districts. Export to CAD, GIS, PDF, CSV and access via API.

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