<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    	
    <Esri>
        		
        <CreaDate>20241209</CreaDate>
        		
        <CreaTime>09323400</CreaTime>
        		
        <ArcGISFormat>1.0</ArcGISFormat>
        		
        <SyncOnce>TRUE</SyncOnce>
        	
    </Esri>
    	
    <dataIdInfo>
        		
        <idCitation>
            			
            <resTitle>Master Well Inventory</resTitle>
            		
        </idCitation>
        		
        <searchKeys>
            			
            <keyword>Kansas</keyword>
            			
            <keyword>KGS</keyword>
            			
            <keyword>wells</keyword>
            			
            <keyword>water</keyword>
            			
            <keyword>WWC5</keyword>
            			
            <keyword>WIZARD</keyword>
            			
            <keyword>WIMAS</keyword>
            			
            <keyword>geohydrology</keyword>
            			
            <keyword>water rights</keyword>
            		
        </searchKeys>
        		
        <idPurp>This is the master well inventory for the State of Kansas. It is compiled by the KGS of wells from various programs including WWC5, WIZARD, and WIMAS.</idPurp>
        		
        <idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P&gt;&lt;SPAN&gt;The Kansas Master Ground-water Well Inventory (MWI) is a central repository that imports and links together the State's primary ground-water well data sets- KDHE's &lt;/SPAN&gt;&lt;A href="https://www.kgs.ku.edu/Magellan/WaterWell/index.html" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;WWC5&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;, KDA-DWR's &lt;/SPAN&gt;&lt;A href="https://hercules.kgs.ku.edu/geohydro/wimas/index.cfm" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;WIMAS&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;, and KGS' &lt;/SPAN&gt;&lt;A href="https://www.kgs.ku.edu/Magellan/WaterLevels/index.html" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;WIZARD&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt; into a single, online source. The most "accurate" of the common source fields are used to represent the well sites, for example- GPS coordinates if available are used over other methods to locate a well. The MWI maintains the primary identification tags to allow specific well records to be linked back to the original data sources.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;This data is compiled by the &lt;/SPAN&gt;&lt;A href="https://kgs.ku.edu" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;Kansas Geological Survey&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;. For more information, please see the &lt;/SPAN&gt;&lt;A href="https://geohydro.kgs.ku.edu/geohydro/master_well/index.cfm" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;Groundwater Master Well Inventory&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt; page.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</idAbs>
        		
        <idCredit>KGS, KDHE, KDA-DWR</idCredit>
        		
        <resConst>
            			
            <Consts>
                				
                <useLimit>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P&gt;&lt;SPAN&gt;None. Users can determine if this data fits their purposes.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</useLimit>
                			
            </Consts>
            		
        </resConst>
        	
    </dataIdInfo>
    	
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</Data>
 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