<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20231003</CreaDate>
<CreaTime>18535300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs/>
<idPurp/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Climate_Minimum Temperature of Coldest</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
