<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
    <Esri>
        <ArcGISFormat>1.0</ArcGISFormat>
        <ArcGISProfile>DCPLUS</ArcGISProfile>
        <CreaDate>20191115</CreaDate>
        <CreaTime>18342300</CreaTime>
        <ModDate>20191115</ModDate>
        <ModTime>18342300</ModTime>
        <DataProperties>
            <itemProps>
                <portalDetails>
                    <thumbnailURL>https://www.arcgis.com/sharing/rest/content/items/ca2c7bf315a749019ac6635decb9fb06/info/thumbnail/ago_downloaded.png</thumbnailURL>
                    <itemDetailsURL>https://www.arcgis.com/home/item.html?id=ca2c7bf315a749019ac6635decb9fb06</itemDetailsURL>
                    <itemIdentifier>ca2c7bf315a749019ac6635decb9fb06</itemIdentifier>
                    <itemType>Feature Service</itemType>
                    <resourceURL>https://services1.arcgis.com/0j6vZbECadDEXdAS/arcgis/rest/services/Cal_Poly_Tree_Survey_Data_RW/FeatureServer</resourceURL>
                </portalDetails>
            </itemProps>
        </DataProperties>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>Cal_Poly_Tree_Survey_Data_RW</resTitle>
            <date>
                <createDate>2019-11-15T18:34:23</createDate>
                <reviseDate>2019-11-15T18:35:10</reviseDate>
            </date>
        </idCitation>
        <searchKeys>
            <keyword>Trees</keyword>
        </searchKeys>
        <dataExt>
            <geoEle>
                <GeoBndBox>
                    <westBL Sync="FALSE">-120.67475560000001</westBL>
                    <eastBL Sync="FALSE">-120.6526442</eastBL>
                    <northBL Sync="FALSE">35.315875729999995</northBL>
                    <southBL Sync="FALSE">35.29602603</southBL>
                    <exTypeCode Sync="TRUE">1</exTypeCode>
                </GeoBndBox>
            </geoEle>
        </dataExt>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">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</Data>
        </Thumbnail>
    </Binary>
    <mdFileID>ca2c7bf315a749019ac6635decb9fb06</mdFileID>
    <distInfo>
        <distTranOps>
            <onLineSrc>
                <linkage>https://services1.arcgis.com/0j6vZbECadDEXdAS/arcgis/rest/services/Cal_Poly_Tree_Survey_Data_RW/FeatureServer</linkage>
            </onLineSrc>
        </distTranOps>
        <distFormat>
            <formatName>Feature Service</formatName>
        </distFormat>
    </distInfo>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode code="102100"/>
                <idCodeSpace>EPSG</idCodeSpace>
            </refSysID>
        </RefSystem>
    </refSysInfo>
</metadata>
