<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20210526</CreaDate>
        <CreaTime>13393800</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idAbs/>
        <searchKeys>
            <keyword>Karmel</keyword>
            <keyword>Art History Dissertations</keyword>
        </searchKeys>
        <idPurp>Map depicting the XYPoints for Art History dissertations of the last decade for museum curators, tenure track professors, and foreign academics as individual layers. Each point represents an individual person and their institution. Note: multiple individuals at the same institution have their own point location, but these points overlap in the map view.</idPurp>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>