<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
<Esri>
<CreaDate>20141210</CreaDate>
<CreaTime>13151200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>North American Profile of ISO19115 2003</ArcGISstyle>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>USA Railroads is a comprehensive database of the nation's railway system at 1:24,000 to 1:100,000 scale. The data set covers all 50 States plus the District of Columbia.&lt;br /&gt;&lt;br /&gt;This hosted feature service displays at scales up to 1:1,500,000.</idAbs>
<searchKeys>








<keyword>USA</keyword><keyword>United States</keyword><keyword>Railways</keyword><keyword>Network</keyword><keyword>NGDA</keyword><keyword>Transportation Theme</keyword><keyword>2014</keyword><keyword>railroad</keyword><keyword>transportation</keyword></searchKeys>
<idPurp>The rail line dataset is a topological network that provides location and attributes information for use in network analysis applications.</idPurp>
<idCredit>Federal Railroad Administration (FRA), Esri</idCredit>
<resConst>
<Consts>
<useLimit>&lt;span style=''&gt;&lt;span&gt;&lt;span&gt;&lt;span&gt;&lt;span&gt;&lt;span style=''&gt;&lt;span&gt;&lt;span&gt;&lt;span&gt;&lt;span&gt;&lt;p style='margin:0in 0in 0pt;'&gt;The
datasets included within Esri Data &amp;amp; Maps are subject to varying
redistribution rights that have been granted by Esri’s third party data
suppliers. Consult the &lt;a href='https://www.esri.com/en-us/legal/redistribution-rights' rel='nofollow ugc' target='_blank'&gt;Redistribution Rights&lt;/a&gt; document to
determine the ways in which Licensee is permitted to use and redistribute each
specific dataset and the applicable disclaimers, attribution requirements, and
other conditions of use.&lt;/p&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>