<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20140922</CreaDate>
<CreaTime>10475900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>XTools Pro Metadata</ArcGISstyle>
<SyncOnce>FALSE</SyncOnce>
<ModDate>20150401</ModDate>
<ModTime>14311900</ModTime>
<MapLyrSync>TRUE</MapLyrSync>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Street Centerlines Morris County with Shields.lyr</itemName>
<imsContentType Sync="TRUE">005</imsContentType>
</itemProps>
</DataProperties>
<SyncDate>20150401</SyncDate>
<SyncTime>14311900</SyncTime>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Street Centerlines - Morris County</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005">
</PresFormCd>
</presForm>
</idCitation>
<envirDesc Sync="FALSE">Esri ArcGIS 10.3.0.4322</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</dataLang>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
<mdDateSt Sync="TRUE">20150401</mdDateSt>
<mdLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004">
</CharSetCd>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Layer</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005">
</ScopeCd>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
</metadata>
