<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210325</CreaDate>
<CreaTime>13342300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20210325" Name="Copy Raster" Time="133423" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyRaster">CopyRaster "GEOPHYSICS\Survey Coverage Area\Airborne\Magnetic\2626AB AD Ga Ramodingwana Coligny_magmicrolevel.tif" C:\Users\rainslie\Documents\2021\1)Projects\Portal_21\Geophysics\Data\Airborne\Airborne_Mag_GeoTiffs.gdb\Magnetic_2626AB_AD_Ga_Ramodingwana_Coligny_magmicrolevel # 0 -99999 NONE NONE "32 bit float" NONE NONE "TIFF format" NONE CURRENT_SLICE NO_TRANSPOSE</Process>
<Process Date="20210325" Time="145654" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename C:\Users\rainslie\Documents\2021\1)Projects\Portal_21\Geophysics\Data\Airborne\Airborne_Mag_GeoTiffs.gdb\Magnetic_2626AB_AD_Ga_Ramodingwana_Coligny_magmicrolevel C:\Users\rainslie\Documents\2021\1)Projects\Portal_21\Geophysics\Data\Airborne\Airborne_Mag_GeoTiffs.gdb\_2626AB_AD_Ga_Ramodingwana_Coligny_magmicrolevel RasterDataset</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>2626AB Ga-Ramodingwana</keyword>
<keyword>2626AD Coligny</keyword>
<keyword>Geophysics</keyword>
<keyword>2005</keyword>
</searchKeys>
<idPurp>Airborne magnetic georeferenced tiff image of the Ga Ramodingwana and Coligny area.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>2626AB AD Ga Ramodingwana Coligny Magmicrolevel Geophysics 2005</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
