<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
    <Esri>
        <ArcGISFormat>1.0</ArcGISFormat>
        <ArcGISProfile>DCPLUS</ArcGISProfile>
        <CreaDate>20150507</CreaDate>
        <CreaTime>18444200</CreaTime>
        <ModDate>20150507</ModDate>
        <ModTime>18444200</ModTime>
        <DataProperties>
            <itemProps>
                <portalDetails>
                    <thumbnailURL>https://www.arcgis.com/sharing/rest/content/items/71173acc055143aeb2c40b31918d0176/info/thumbnail/ago_downloaded.png</thumbnailURL>
                    <itemDetailsURL>https://www.arcgis.com/home/item.html?id=71173acc055143aeb2c40b31918d0176</itemDetailsURL>
                    <itemIdentifier>71173acc055143aeb2c40b31918d0176</itemIdentifier>
                    <itemType>Feature Service</itemType>
                    <resourceURL>http://services.arcgis.com/zmLUiqh7X11gGV2d/arcgis/rest/services/DanforthWalkScore/FeatureServer</resourceURL>
                </portalDetails>
            </itemProps>
        </DataProperties>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>DanforthWalkScore</resTitle>
            <date>
                <createDate>2015-05-07T18:44:42</createDate>
                <reviseDate>2015-05-07T18:45:24</reviseDate>
            </date>
        </idCitation>
        <searchKeys>
            <keyword>WalkScore</keyword>
            <keyword>Danforth</keyword>
        </searchKeys>
        <dataExt>
            <geoEle>
                <GeoBndBox>
                    <westBL Sync="FALSE">-79.36146737058034</westBL>
                    <eastBL Sync="FALSE">-79.28601198680035</eastBL>
                    <northBL Sync="FALSE">43.69984218829073</northBL>
                    <southBL Sync="FALSE">43.66291018593248</southBL>
                    <exTypeCode Sync="TRUE">1</exTypeCode>
                </GeoBndBox>
            </geoEle>
        </dataExt>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">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</Data>
        </Thumbnail>
    </Binary>
    <mdFileID>71173acc055143aeb2c40b31918d0176</mdFileID>
    <distInfo>
        <distTranOps>
            <onLineSrc>
                <linkage>http://services.arcgis.com/zmLUiqh7X11gGV2d/arcgis/rest/services/DanforthWalkScore/FeatureServer</linkage>
            </onLineSrc>
        </distTranOps>
        <distFormat>
            <formatName>Feature Service</formatName>
        </distFormat>
    </distInfo>
</metadata>
