<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20200504</CreaDate>
        <CreaTime>22303500</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>Map3</resTitle>
        </idCitation>
        <idAbs/>
        <searchKeys>
            <keyword>Condor</keyword>
            <keyword>California</keyword>
        </searchKeys>
        <idPurp>This layer shows the success factors associated with condor nests.</idPurp>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>