<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210625</CreaDate>
<CreaTime>19252100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>BTV Subwatersheds</resTitle>
</idCitation>
<idAbs/>
<searchKeys>
<keyword>watershed</keyword>
<keyword>subwatershed</keyword>
<keyword>Burlington</keyword>
</searchKeys>
<idPurp>Burlington, VT subwatershed delineations. This feature class was created using 2' contours and sewer collections system mapping.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
