<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230206</CreaDate>
<CreaTime>17462600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20230206" Time="174626" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField stategis.sde.District_4 district "Eastern West Khasi Hills" VB #</Process>
<Process Date="20230207" Time="104221" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AddRelate">AddRelate District_ML district Spring_survey_ML district Relate_layer_dist_spring "One to many"</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>storymap</keyword>
<keyword>salinity</keyword>
</searchKeys>
<idPurp>Thematic Map - Salinity</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>ThematicMap_Salinity_avg</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
