<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260911</CreaDate>
<CreaTime>15051000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>MCAC_Suspected_Overdoses_2025</resTitle>
</idCitation>
<searchKeys>
<keyword>health</keyword>
<keyword>MCAC</keyword>
<keyword>2025</keyword>
<keyword>overdose</keyword>
</searchKeys>
<idPurp>MCAC suspected overdoses for 2025 - a raster image to be used in the dashboard</idPurp>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
