<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210325</CreaDate>
<CreaTime>13300800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20210325" Name="Copy Raster" Time="133008" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyRaster">CopyRaster "GEOPHYSICS\Survey Coverage Area\Airborne\Magnetic\2328DD GaMaloka_magmicrolevel.tif" C:\Users\rainslie\Documents\2021\1)Projects\Portal_21\Geophysics\Data\Airborne\Airborne_Mag_GeoTiffs.gdb\Magnetic_2328DD_GaMaloka_magmicrolevel # 0 -99999 NONE NONE "32 bit float" NONE NONE "TIFF format" NONE CURRENT_SLICE NO_TRANSPOSE</Process>
<Process Date="20210325" Time="144606" 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_2328DD_GaMaloka_magmicrolevel C:\Users\rainslie\Documents\2021\1)Projects\Portal_21\Geophysics\Data\Airborne\Airborne_Mag_GeoTiffs.gdb\_2328DD_GaMaloka_magmicrolevel RasterDataset</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>2328DD Ga-Maloka</keyword>
<keyword>Geophysics</keyword>
<keyword>2007</keyword>
</searchKeys>
<idPurp>Airborne magnetic georeferenced tiff image of the GaMaloka area.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>2328DD GaMaloka Magmicrolevel Geophysics 2007</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
