<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20221205</CreaDate>
        <CreaTime>13435600</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idAbs/>
        <searchKeys>
            <keyword>Project Map</keyword>
        </searchKeys>
        <idPurp>4 Fire Boundaries; FIA plot points, 1930s forest survey, FIA forest survey (2018?), average and anomaly precipitation</idPurp>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>