<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
<Esri>
<CreaDate>20161103</CreaDate>
<CreaTime>13184200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>rental</keyword>
</searchKeys>
<idPurp>rental price around campus</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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==</Data>
</Thumbnail>
</Binary>
</metadata>