<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20240405</CreaDate>
<CreaTime>10014700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>SREBA Datasets</resTitle>
</idCitation>
<idAbs/>
<idCredit/>
<searchKeys>
<keyword>DEPWS</keyword>
<keyword>SREBA</keyword>
<keyword>Major Environmental Studies</keyword>
</searchKeys>
<idPurp>Strategic Regional Environmental and Baseline Assessment (SREBA) Study datasets. </idPurp>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
