<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20221114</CreaDate>
<CreaTime>16374400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Inputs_UMR</resTitle>
</idCitation>
<idAbs>New Group Layer</idAbs>
<idCredit/>
<idPurp>Layer group for the classification inputs for the Upper Mississippi River Prioritization Blueprint.</idPurp>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<searchKeys>
<keyword>UMR</keyword>
<keyword>Upper Mississippi River</keyword>
<keyword>Prioritization</keyword>
<keyword>Survival by Degrees</keyword>
</searchKeys>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
