<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
    <Esri>
        <ArcGISFormat>1.0</ArcGISFormat>
        <ArcGISProfile>DCPLUS</ArcGISProfile>
        <CreaDate>20201211</CreaDate>
        <CreaTime>18475400</CreaTime>
        <ModDate>20220516</ModDate>
        <ModTime>18475400</ModTime>
        <DataProperties>
            <itemProps>
                <portalDetails>
                    <thumbnailURL>https://devext.arcgis.com/sharing/rest/content/items/1c1cdd328b414b0dba16189d5f94bdf1/info/thumbnail/ago_downloaded.png</thumbnailURL>
                    <itemDetailsURL>https://devext.arcgis.com/home/item.html?id=1c1cdd328b414b0dba16189d5f94bdf1</itemDetailsURL>
                    <itemIdentifier>1c1cdd328b414b0dba16189d5f94bdf1</itemIdentifier>
                    <itemType>Feature Service</itemType>
                    <resourceURL>https://servicesdev.arcgis.com/aBQFvvuuqqpsjWov/arcgis/rest/services/TorontoCrimeCount/FeatureServer</resourceURL>
                </portalDetails>
            </itemProps>
        </DataProperties>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>TorontoCrimeCount</resTitle>
            <date>
                <createDate>2020-12-11T18:47:54</createDate>
                <reviseDate>2022-05-16T17:23:12</reviseDate>
            </date>
        </idCitation>
        <searchKeys>
            <keyword>test</keyword>
        </searchKeys>
        <dataExt>
            <geoEle>
                <GeoBndBox>
                    <westBL Sync="FALSE">-79.63926700000005</westBL>
                    <eastBL Sync="FALSE">-79.12310029999999</eastBL>
                    <northBL Sync="FALSE">43.85078809999998</northBL>
                    <southBL Sync="FALSE">43.5870934</southBL>
                    <exTypeCode Sync="TRUE">1</exTypeCode>
                </GeoBndBox>
            </geoEle>
        </dataExt>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">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</Data>
        </Thumbnail>
    </Binary>
    <mdFileID>1c1cdd328b414b0dba16189d5f94bdf1</mdFileID>
    <distInfo>
        <distTranOps>
            <onLineSrc>
                <linkage>https://servicesdev.arcgis.com/aBQFvvuuqqpsjWov/arcgis/rest/services/TorontoCrimeCount/FeatureServer</linkage>
            </onLineSrc>
        </distTranOps>
        <distFormat>
            <formatName>Feature Service</formatName>
        </distFormat>
    </distInfo>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode code="102100"/>
                <idCodeSpace>EPSG</idCodeSpace>
            </refSysID>
        </RefSystem>
    </refSysInfo>
</metadata>
