<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20221026</CreaDate>
        <CreaTime>14572800</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idAbs/>
        <searchKeys>
            <keyword>related</keyword>
        </searchKeys>
        <idPurp>This map has an updated version of the bird observation dataset with an additional weather conditions table.</idPurp>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>