<?xml version="1.0" encoding="UTF-8"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20140612</CreaDate>
<CreaTime>12321100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Test Tweets to determine location intersections</idAbs>
<searchKeys>
<keyword>Twitter</keyword>
</searchKeys>
<idPurp>Rochester Tweets for one half month</idPurp>
<idCredit></idCredit>
<resConst>
<Consts>
<useLimit></useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
