<?xml version="1.0" encoding="UTF-8"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20161018</CreaDate>
<CreaTime>15203400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs></idAbs>
<searchKeys>
<keyword>DWR</keyword>
</searchKeys>
<idPurp>SITLA land and desert bighorn sheep year-long range</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>
