<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20190930</CreaDate>
<CreaTime>14180100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Data downloaded from Planet.osm and coverted from .osm onto FileGDB using ArcGIS.</idAbs>
<searchKeys>
<keyword>Railways</keyword>
<keyword>Infrastructure</keyword>
<keyword>OSM</keyword>
<keyword>Railway</keyword>
<keyword>WWF-Norway</keyword>
<keyword>WWF-SIGHT</keyword>
<keyword>WWF-UK</keyword>
</searchKeys>
<idPurp>Railways extracted from OpenStreetMaps on September 2016 by Pablo Izquierdo, WWF-Norway.</idPurp>
<idCredit>Planet.osm [Accessed (09/2016)]</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Global_Railways</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
