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 "id": 1,
 "name": "GDOT Congested Areas",
 "type": "Feature Layer",
 "description": "The HOTSPOTS dataset is created by DOT Field Observers in order to provide timely and accurate assesments against extraordinary traffic situations caused by natural disasters or other significant events. The data is created through and external application Verizon Field Force Manager and is extracted and transformed from KML data to Vector data.",
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  "zUnits": 10000,
  "falseM": 0,
  "mUnits": 1
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 "copyrightText": "Georgia Department of Transportation, Office of IT Applications - Enterprise GIS Group Date and time: 21OCT2014 Georgia Department of Transportation, Office of IT Applications - Enterprise GIS Group, Atlanta, Georgia",
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  "supportsLinearRegression": true,
  "supportsAsync": false,
  "supportsPercentileAnalytic": true
 },
 "dateFieldsTimeReference": {
  "timeZone": "Eastern Standard Time",
  "respectsDaylightSaving": true
 },
 "preferredTimeReference": {
  "timeZone": "Eastern Standard Time",
  "respectsDaylightSaving": true
 },
 "datesInUnknownTimezone": false,
 "hasMetadata": true,
 "isDataArchived": false,
 "archivingInfo": {
  "supportsQueryWithHistoricMoment": false,
  "startArchivingMoment": -1
 },
 "supportsCoordinatesQuantization": true,
 "supportsDynamicLegends": true,
 "serviceItemId": "af9e41c2c9cc4d5bbe873ff6dadd1c51"
}