<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220920</CreaDate>
<CreaTime>06432400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>Tree</keyword>
<keyword>Mortality</keyword>
</searchKeys>
<idPurp>2016 tree mortality at 30m</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>2016_mortality_30m</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
