<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
    <Esri>
        <ArcGISFormat>1.0</ArcGISFormat>
        <ArcGISProfile>DCPLUS</ArcGISProfile>
        <CreaDate>20151218</CreaDate>
        <CreaTime>20565000</CreaTime>
        <ModDate>20201008</ModDate>
        <ModTime>20565000</ModTime>
        <DataProperties>
            <itemProps>
                <portalDetails>
                    <thumbnailURL>https://www.arcgis.com/sharing/rest/content/items/5a3307cfd91d479bb465ff0e09450923/info/thumbnail/ago_downloaded.png</thumbnailURL>
                    <itemDetailsURL>https://www.arcgis.com/home/item.html?id=5a3307cfd91d479bb465ff0e09450923</itemDetailsURL>
                    <itemIdentifier>5a3307cfd91d479bb465ff0e09450923</itemIdentifier>
                    <itemType>Feature Service</itemType>
                    <resourceURL>http://services.arcgis.com/ULBqC49IEeIR01GF/arcgis/rest/services/test11/FeatureServer</resourceURL>
                </portalDetails>
            </itemProps>
        </DataProperties>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>Award Recipients</resTitle>
            <date>
                <createDate>2015-12-18T20:56:50</createDate>
                <reviseDate>2020-10-08T22:37:44</reviseDate>
            </date>
        </idCitation>
        <searchKeys>
            <keyword>Liu-Spencer</keyword>
        </searchKeys>
        <dataExt>
            <geoEle>
                <GeoBndBox>
                    <westBL Sync="FALSE">-90.50590823181089</westBL>
                    <eastBL Sync="FALSE">178.47945504272582</eastBL>
                    <northBL Sync="FALSE">51.12891959686295</northBL>
                    <southBL Sync="FALSE">-29.96178996565517</southBL>
                    <exTypeCode Sync="TRUE">1</exTypeCode>
                </GeoBndBox>
            </geoEle>
        </dataExt>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">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</Data>
        </Thumbnail>
    </Binary>
    <mdFileID>5a3307cfd91d479bb465ff0e09450923</mdFileID>
    <distInfo>
        <distTranOps>
            <onLineSrc>
                <linkage>http://services.arcgis.com/ULBqC49IEeIR01GF/arcgis/rest/services/test11/FeatureServer</linkage>
            </onLineSrc>
        </distTranOps>
        <distFormat>
            <formatName>Feature Service</formatName>
        </distFormat>
    </distInfo>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode code="102100"/>
                <idCodeSpace>EPSG</idCodeSpace>
            </refSysID>
        </RefSystem>
    </refSysInfo>
</metadata>
