<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
    	
    <Esri>
        		
        <CreaDate>20240418</CreaDate>
        		
        <CreaTime>12540700</CreaTime>
        		
        <ArcGISFormat>1.0</ArcGISFormat>
        		
        <SyncOnce>TRUE</SyncOnce>
        		
        <scaleRange>
            			
            <minScale>150000000</minScale>
            			
            <maxScale>5000</maxScale>
            		
        </scaleRange>
        		
        <ArcGISProfile>ItemDescription</ArcGISProfile>
        	
    </Esri>
    	
    <dataIdInfo>
        		
        <searchKeys>
            			
            <keyword>TEGI</keyword>
            			
            <keyword>Trusted Environmental and Geological Information</keyword>
            			
            <keyword>Web Service</keyword>
            			
            <keyword>Australia</keyword>
            		
        </searchKeys>
        		
        <idPurp>Delivery of trusted baseline data and information for geological basins prospective for energy, carbon capture and storage, groundwater and minerals as part of the Trusted Environmental and Geological Information program (TEGI).</idPurp>
        		
        <idCredit>© Commonwealth of Australia (Geoscience Australia) 2024. This material is released under the Creative Commons Attribution 4.0 International Licence. http://creativecommons.org/licenses/by/4.0/legalcode</idCredit>
        		
        <idCitation>
            			
            <resTitle>GAL_HYD_RenewableCapacityFactor</resTitle>
            		
        </idCitation>
        	
    </dataIdInfo>
    	
    <mdHrLv>
        		
        <ScopeCd value="005"/>
        	
    </mdHrLv>
    	
    <mdDateSt Sync="TRUE">20240531</mdDateSt>
    	
    <Binary>
        		
        <Thumbnail>
            			
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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==</Data>
            		
        </Thumbnail>
        	
    </Binary>
    
</metadata>
