<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
<Esri>
<CreaDate>20190410</CreaDate>
<CreaTime>20184200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>CARM grazing sequence from 2014-2018 with centroids for every pasture inthe experiment, in and out dates of cattle and number of head</idAbs>
<searchKeys>
<keyword>CARM</keyword>
<keyword>CPER</keyword>
<keyword>AGM</keyword>
<keyword>grazing</keyword>
</searchKeys>
<idPurp>CARM grazing sequence from 2014-2018</idPurp>
<idCredit>Nicole Kaplan</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>