<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20260717</CreaDate>
        <CreaTime>10284500</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idAbs/>
        <searchKeys>
            <keyword>minor culverts</keyword>
            <keyword>inspection</keyword>
            <keyword>report</keyword>
            <keyword>condition ratings</keyword>
            <keyword>maintenance</keyword>
            <keyword>survey123</keyword>
        </searchKeys>
        <idPurp>This layer is published as a hosted feature layer. It is pulling the STM_Main data filtered for minor culverts. It has a related table associated to it for the condition assessments to be populated. The goal will be to write this back to the enterprise GDB in the short term. It was published from this aprx - Oakville GIS - ArcGIS Pro Projects for Publishing\ArcGISProMapServices\FeatureEditing\STM Culvert Inspections</idPurp>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
        </Thumbnail>
    </Binary>
</metadata>