<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20240207</CreaDate>
<CreaTime>09443900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>GIS</keyword>
<keyword>Northland</keyword>
</searchKeys>
<idPurp>Northland Towns</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Towns</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
