<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="it">
<Esri>
<CreaDate>20250122</CreaDate>
<CreaTime>16313600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Tavola_classificazione_acustica</resTitle>
</idCitation>
<idAbs>&lt;?xml version="1.0" encoding="ISO-8859-1"?&gt;&lt;globoengine version="1.0"&gt;&lt;properties&gt;&lt;property name="app_load" value="" /&gt;&lt;property name="app_exec" value="UrbanPlanner" /&gt;&lt;/properties&gt;&lt;/globoengine&gt;</idAbs>
<idPurp>Tavola_classificazione_acustica</idPurp>
<idCredit/>
<searchKeys>
<keyword>Ferno</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
