<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20181023</CreaDate>
<CreaTime>11334800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<ModDate>20181029</ModDate>
<ModTime>9510400</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<searchKeys>
<keyword>1954 Air Photos</keyword>
</searchKeys>
<idCredit>© University of Toronto Map and Data Library; 1954 Air Photography provided by © Hunting Survey Corporation Limited</idCredit>
<idCitation>
<resTitle>1954_AirPhotos</resTitle>
</idCitation>
<idAbs/>
<idPurp>1954 Air Photos</idPurp>
<resConst>
<Consts>
<useLimit>© University of Toronto Map and Data Library; 1954 Air Photography provided by © Hunting Survey Corporation Limited</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
<mdHrLv>
<ScopeCd value="005">
</ScopeCd>
</mdHrLv>
</metadata>
