<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230809</CreaDate>
<CreaTime>20592700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20230809" Time="205927" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename "Q:\Dpt-Pew Center on the States\GIS\EE\ScopingAnalysis_202308\data\MarineComposite_Simple\EEZ_mollweide_MarineComposite1.shp" "Q:\Dpt-Pew Center on the States\GIS\EE\ScopingAnalysis_202308\data\MarineComposite_Simple\EEZ_mollweide_MarineComposite2.shp" ShapeFile</Process>
<Process Date="20230809" Time="205949" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename "Q:\Dpt-Pew Center on the States\GIS\EE\ScopingAnalysis_202308\data\MarineComposite_Simple\EEZ_mollweide_MarineComposite2.shp" "Q:\Dpt-Pew Center on the States\GIS\EE\ScopingAnalysis_202308\data\MarineComposite_Simple\EEZ_mollweide_MarineComposite1.shp" ShapeFile</Process>
<Process Date="20230809" Time="210013" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename "Q:\Dpt-Pew Center on the States\GIS\EE\ScopingAnalysis_202308\data\MarineComposite_Simple\EEZ_mollweide_MarineComposite1.shp" "Q:\Dpt-Pew Center on the States\GIS\EE\ScopingAnalysis_202308\data\MarineComposite_Simple\EEZ_mollweide_MarineComposite2.shp" ShapeFile</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>Global</keyword>
</searchKeys>
<idPurp>Composite Index of two marine variables (biodiversity and percent protected), by quintiles.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>EEZ_mollweide_MarineComposite2</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
