<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20220929</CreaDate>
        <CreaTime>14055200</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idAbs/>
        <searchKeys>
            <keyword>Toronto</keyword>
            <keyword>3D data</keyword>
        </searchKeys>
        <idPurp>Toronto Multipatch Data</idPurp>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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=</Data>
        </Thumbnail>
    </Binary>
</metadata>