<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
  <Esri>
    <CreaDate>20250702</CreaDate>
    <CreaTime>08391200</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>TRUE</SyncOnce>
    <MapLyrSync>TRUE</MapLyrSync>
  </Esri>
  <dataIdInfo>
    <idCitation>
      <resTitle>ROC_PN_RoadCenterlineQuery_SDE</resTitle>
    </idCitation>
    <idAbs>The RoadCenterlineQuery service is used to identify a road segment in the application. The application will select roads based on this map service.</idAbs>
    <searchKeys>
      <keyword>roads</keyword>
      <keyword>centerlines</keyword>
    </searchKeys>
    <idPurp>The RoadCenterlineQuery service is used to identify a road segment in the application. The application will select roads based on this map service.</idPurp>
    <idCredit>Bergmann Associates, City of Rochester</idCredit>
    <resConst>
      <Consts>
        <useLimit/>
      </Consts>
    </resConst>
  </dataIdInfo>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
    </Thumbnail>
  </Binary>
</metadata>
