<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230727</CreaDate>
<CreaTime>09102600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>CHL</keyword>
<keyword>SST</keyword>
<keyword>Trends</keyword>
<keyword>Seasonal</keyword>
</searchKeys>
<idPurp>Seasonal absolute trends per year</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Ocean Scale Seasonal</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
