<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220307</CreaDate>
<CreaTime>10291400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20220307" Time="102914" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Spatial Analyst Tools.tbx\ExtractByMask">ExtractByMask richnessMap_2020-07-23.tif NA_Boundary_Envelope_NoLakes "C:\Users\Paul Millhouser\Documents\CWR\nationalMaps\richnessMap_2020-07-23_FINAL.tif"</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>CWR</keyword>
</searchKeys>
<idPurp>Species Richness layer with revised legend--based on richnessMap_2020-07-23FINAL.tif</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Species Richness NA Revised</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
