{"id" : "69cc5a20847e4639b41e836d9f6ab8ec", 
  "name" : "", 
  "owner" : "EsriTrainingSvc", 
  "guid" : "", 
  "title" : "Incidents_AccessingPythonAPI", 
  "type" : "Feature Service", 
  "typeKeywords" : [
    "ArcGIS Server", 
    "Data", 
    "Feature Access", 
    "Feature Service", 
    "Metadata", 
    "Service", 
    "Singlelayer", 
    "Hosted Service"
  ], 
  "description" : "\u003cDIV STYLE=\"text-align:Left;\"\u003e\u003cDIV\u003e\u003cP\u003e\u003cSPAN\u003ePolice pull over more than 50,000 drivers on a typical day, more than 20 million motorists every year. Yet the most common police interaction — the traffic stop — has not been tracked, at least not in any systematic way.\u003c/SPAN\u003e\u003c/P\u003e\u003cP\u003e\u003cSPAN\u003eThe Stanford Open Policing Project — a unique partnership between the Stanford Computational Journalism Lab and the Stanford School of Engineering — is changing that. Starting in 2015, the Open Policing Project began requesting such data from state after state. To date, the project has collected and standardized more than 100 million records of traffic stop and search data from 31 states.\u003c/SPAN\u003e\u003c/P\u003e\u003c/DIV\u003e\u003c/DIV\u003e", 
  "tags" : [
    "accessing"
  ], 
  "snippet" : "Stanford Open Policing Project, a nationwide analysis of traffic stops and searches.", 
  "thumbnail" : "thumbnail/ago_downloaded.png", 
  "extent" : [-123.447509765625, 46.72607421875, 
    -121.64599609375, 48.9976806640625
  ], "categorites" : null, 
  "spatialReference" : "", 
  "url" : "https://services.arcgis.com/ue9rwulIoeLEI9bj/arcgis/rest/services/Incidents_AccessingPythonAPI/FeatureServer", 
  "culture" : "en-us", 
  "licenseInfo" : "\u003cdiv\u003e\u003cp\u003eNone, with proper attribution. The Stanford Open Policing Project data are made available under the Open Data Commons Attribution License.\u003c/p\u003e\u003cp\u003eUse of this Data is restricted to training, demonstration, and educational purposes only. This Data cannot be sold or used for marketing without the express written consent of Environmental Systems Research Institute Inc.THE DATA AND RELATED MATERIALS MAY CONTAIN SOME NONCONFORMITIES, DEFECTS, OR ERRORS. ESRI DOES NOT WARRANT THAT THE DATA WILL MEET USER'S NEEDS OR EXPECTATIONS; THAT THE USE OF THE DATA WILL BE UNINTERRUPTED; OR THAT ALL NONCONFORMITIES, DEFECTS, OR ERRORS CAN OR WILL BE CORRECTED. ESRI IS NOT INVITING RELIANCE ON THIS DATA, AND THE USER SHOULD ALWAYS VERIFY ACTUAL DATA.THE DATA AND RELATED MATERIALS ARE PROVIDED "AS-IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.IN NO EVENT SHALL ESRI AND/OR ITS LICENSOR(S) BE LIABLE FOR COSTS OF PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOST PROFITS, LOST SALES, OR BUSINESS EXPENDITURES, INVESTMENTS, OR COMMITMENTS IN CONNECTION WITH ANY BUSINESS; LOSS OF ANY GOODWILL; OR FOR ANY INDIRECT, SPECIAL, INCIDENTAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES ARISING OUT OF THIS AGREEMENT OR USE OF THE DATA AND RELATED MATERIALS, HOWEVER CAUSED, ON ANY THEORY OF LIABILITY, AND WHETHER OR NOT ESRI OR ITS LICENSOR(S) HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. THESE LIMITATIONS SHALL APPLY NOTWITHSTANDING ANY FAILURE OF ESSENTIAL PURPOSE OF ANY EXCLUSIVE REMEDY.In the event that the data vendor(s) has (have) granted the end user permission to redistribute the Geodata, please use proper proprietary or copyright attribution for the various data vendor(s), and provide the associated metadata file(s) with the Geodata.\u003c/p\u003e\u003c/div\u003e", 
  "accessInformation" : "Stanford Open Policing Project, Stanford Computational Journalism Lab, Stanford School of Engineering\nE. Pierson, C. Simoiu, J. Overgoor, S. Corbett-Davies, V. Ramachandran, C. Phillips, S. Goel. (2017) ", 
  "properties" : "", 
  "access" : "public", 
  "size" : 14213120
}