<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20160530</CreaDate>
<CreaTime>07530200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>This is a vector cached Base Map that is utilizing the most commonly used datasets that are publically available from the Government of the North West Territories and the Government of Canada. It has been rendered from 1:25,000,000 down to 1:1,000 scale</idAbs>
<searchKeys>
<keyword>General Basemap</keyword>
<keyword>Vector Basemap</keyword>
<keyword>Vector</keyword>
<keyword>NWT</keyword>
<keyword>CanVec+</keyword>
<keyword>Northwest Territories</keyword>
<keyword>Cached service</keyword>
</searchKeys>
<idPurp>This is a vector cached Base Map that is utilizing the most commonly used datasets that are publically available from the Government of the North West Territories and the Government of Canada. It has been rendered from 1:25,000,000 down to 1:1,000. </idPurp>
<idCredit>NWT Centre for Geomatics, ENR-ITI Shared Services, Government of the Northwest Territories, 2015-2016</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>GNWT_Simplified_Basemap</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
