<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210325</CreaDate>
<CreaTime>13301200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20210325" Name="Copy Raster" Time="133012" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyRaster">CopyRaster "GEOPHYSICS\Survey Coverage Area\Airborne\Magnetic\2329AC Bochum_magmicrolevel.tif" C:\Users\rainslie\Documents\2021\1)Projects\Portal_21\Geophysics\Data\Airborne\Airborne_Mag_GeoTiffs.gdb\Magnetic_2329AC_Bochum_magmicrolevel # 0 -99999 NONE NONE "32 bit float" NONE NONE "TIFF format" NONE CURRENT_SLICE NO_TRANSPOSE</Process>
<Process Date="20210325" Time="144619" 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_2329AC_Bochum_magmicrolevel C:\Users\rainslie\Documents\2021\1)Projects\Portal_21\Geophysics\Data\Airborne\Airborne_Mag_GeoTiffs.gdb\_2329AC_Bochum_magmicrolevel RasterDataset</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>2329AC Bochum</keyword>
<keyword>Geophysics</keyword>
<keyword>2005</keyword>
</searchKeys>
<idPurp>Airborne magnetic georeferenced tiff image of the Bochum area.
</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>2329AC Bochum Magmicrolevel Geophysics 2005</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
