<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    	
    <Esri>
        		
        <CreaDate>20250904</CreaDate>
        		
        <CreaTime>13194800</CreaTime>
        		
        <ArcGISFormat>1.0</ArcGISFormat>
        		
        <SyncOnce>TRUE</SyncOnce>
        	
    </Esri>
    	
    <dataIdInfo>
        		
        <idCitation>
            			
            <resTitle>Map</resTitle>
            		
        </idCitation>
        		
        <idAbs>&lt;p&gt;This data contains intersection points within the area of interest of the fictional traffic safety assessment conducted for an area of Southern Abidjan, Ivory Coast. Intersections contain fictional crash statistics on traffic incidents. The goal of the assessment is to inform resource allocation for safety improvements near high-risk locations.&lt;/p&gt;</idAbs>
        		
        <searchKeys>
            			
            
            		
        <keyword>VisualPythonAPI</keyword><keyword>traffic</keyword><keyword>assessment</keyword><keyword>Esri Training Services</keyword><keyword>pedestrian</keyword><keyword>safety</keyword><keyword>crashes</keyword><keyword>intersections</keyword><keyword>500</keyword></searchKeys>
        		
        <idPurp>Road intersection points with fictional crash statistics for the Esri Academy course: Visualizing Data using ArcGIS API for Python.</idPurp>
        		
        <idCredit>Esri Training Services</idCredit>
        		
        <resConst>
            			
            <Consts>
                				
                <useLimit>&lt;p&gt;This data was created by Esri personnel and is entirely fictional.&lt;/p&gt;&lt;p&gt;Use 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.&lt;/p&gt;&lt;p&gt;Data Contact:&amp;nbsp;&lt;br /&gt;Training Services Librarian&lt;br /&gt;Esri, 380 New York Street, Redlands, CA 92373, USA&lt;br /&gt;DataLibrary@esri.com&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;</useLimit>
                			
            </Consts>
            		
        </resConst>
        	
    </dataIdInfo>
    	
    <Binary>
        		
        <Thumbnail>
            			
            <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
            		
        </Thumbnail>
        	
    </Binary>
    
</metadata>