<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="nb">
    <Esri>
        <CreaDate>20221030</CreaDate>
        <CreaTime>18401600</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idAbs/>
        <searchKeys>
            <keyword>væpnede konflikter</keyword>
            <keyword>internasjonale landegrenser</keyword>
            <keyword>1997</keyword>
            <keyword>konflikt</keyword>
        </searchKeys>
        <idPurp>RØD: Væpnede konflikter som er nærmere enn 50 km fra internasjonal landegrese

GRØNN: Væpnede konflikter som er lenger unna enn 50 km unna internasjonal landegrense </idPurp>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>