20220921 08493800 1.0 ISO 19139 Metadata Implementation Specification TRUE The Rail Network is a comprehensive database of North America's railway system at 1:24,000 to 1:100,000 scale as of November 28, 2018. The data set covers all 50 States plus the District of Columbia. *** NOTE February 2019, MARIS Staff selected out just the MS Portion using attribute STATEAB *** railroad transportation network Mississippi MS Rail Lines 2018 USDOT BTS, Federal Railroad Administration (FRA), MARIS none MS_RailroadNetworks_2018 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