<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20241104</CreaDate>
        <CreaTime>14594200</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>Map1</resTitle>
        </idCitation>
        <idAbs>Plot boundaries of big treatment (as opposed to smaller, measurement) plots</idAbs>
        <idPurp>For plot treatment and measurement boundaries. Also includes ambiguous ("ambig") boundaries for where it is not clear whether the plot is measurement or treatment, or for other boundary purposes.</idPurp>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
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</Data>
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