<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20231120</CreaDate>
<CreaTime>14464200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>214-10</idAbs>
<searchKeys>
<keyword>214-10</keyword>
</searchKeys>
<idPurp>214-10</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>HARVEST</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
