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31. Railways: Shanxi Sheng Province, China, 2000

2000. University of Michigan. China Data Center and Beijing Hua tong ren shi chang xin xi you xian ze ren gong si. This shapefile represents the railways for the Shanxi Sheng province of China for 2000. These data are represented at 1:1,000,000 scale. This layer... Beijing Hua tong ren shi chang xin xi you xian ze ren gong si.

32. Railways: Sichuan Sheng Province, China, 2000

2000. University of Michigan. China Data Center and Beijing Hua tong ren shi chang xin xi you xian ze ren gong si. This line shapefile represents the railways for the Sichuan Sheng province of China for 2000. These data are represented at 1:1,000,000 scale. This... Beijing Hua tong ren shi chang xin xi you xian ze ren gong si.

33. Railways: Tianjin Province, China, 2000

2000. University of Michigan. China Data Center and Beijing Hua tong ren shi chang xin xi you xian ze ren gong si. This shapefile represents the railways for the Tianjin province of China for 2000. These data are represented at 1:1,000,000 scale. This layer is p... Beijing Hua tong ren shi chang xin xi you xian ze ren gong si.

34. Railways: Xinjiang Sheng Province, China, 2000

2000. University of Michigan. China Data Center and Beijing Hua tong ren shi chang xin xi you xian ze ren gong si. This line shapefile represents the railways for the Xinjiang Sheng province of China for 2000. These data are represented at 1:1,000,000 scale. Thi... Beijing Hua tong ren shi chang xin xi you xian ze ren gong si.

35. Railways: Yunnan Sheng Province, China, 2000

2000. University of Michigan. China Data Center and Beijing Hua tong ren shi chang xin xi you xian ze ren gong si. This line shapefile represents the railways for the Yunnan Sheng province of China for 2000. These data are represented at 1:1,000,000 scale. This ... Beijing Hua tong ren shi chang xin xi you xian ze ren gong si.

36. World Railroads, 2013

2013. DeLorme Publishing Company and Environmental Systems Research Institute (Redlands, Calif.). This line shapefile represents the railroads of the world at 1:250,000 scale. This layer is part of the 2014 ESRI Data and Maps collection for ArcG... Environmental Systems Research Institute (Redlands, Calif.).