<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20241030</CreaDate>
        <CreaTime>14403000</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idAbs/>
        <searchKeys>
            <keyword>Lakes</keyword>
            <keyword>Streams</keyword>
            <keyword>OCWP</keyword>
        </searchKeys>
        <idPurp>OCWP trends layers</idPurp>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>