<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220930</CreaDate>
<CreaTime>15345000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20220930" Time="153052" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField F_join Tav_5 1 VB #</Process>
<Process Date="20220930" Time="153319" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField F_join Tav_5 -1 VB #</Process>
</lineage>
<itemProps>
<itemLocation>
<linkage Sync="TRUE">file://\\MSI\D$\CMM\PTM_DATABASE\PTM_Dati_Comuni.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>SIT</keyword>
<keyword>CMM</keyword>
<keyword>PTM</keyword>
</searchKeys>
<idPurp>Linee ferroviarie esistenti da PTM</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>CM_PTM_Ferrovie_Linee_Esistenti</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
