operation_prefix.ftl 4.3 KB

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  1. names-operation-prefix-dataset-1 = Ancient
  2. names-operation-prefix-dataset-2 = Angry
  3. names-operation-prefix-dataset-3 = Arachnid
  4. names-operation-prefix-dataset-4 = Atomic
  5. names-operation-prefix-dataset-5 = Benevolent
  6. names-operation-prefix-dataset-6 = Black
  7. names-operation-prefix-dataset-7 = Blessed
  8. names-operation-prefix-dataset-8 = Bloody
  9. names-operation-prefix-dataset-9 = Blue
  10. names-operation-prefix-dataset-10 = Blunt
  11. names-operation-prefix-dataset-11 = Boiling
  12. names-operation-prefix-dataset-12 = Bright
  13. names-operation-prefix-dataset-13 = Burning
  14. names-operation-prefix-dataset-14 = Clean
  15. names-operation-prefix-dataset-15 = Clown
  16. names-operation-prefix-dataset-16 = Cold
  17. names-operation-prefix-dataset-17 = Cursed
  18. names-operation-prefix-dataset-18 = Dark
  19. names-operation-prefix-dataset-19 = Dead
  20. names-operation-prefix-dataset-20 = Deep
  21. names-operation-prefix-dataset-21 = Derelict
  22. names-operation-prefix-dataset-22 = Desert
  23. names-operation-prefix-dataset-23 = Devil's
  24. names-operation-prefix-dataset-24 = Diamond
  25. names-operation-prefix-dataset-25 = Dismal
  26. names-operation-prefix-dataset-26 = Dwarven
  27. names-operation-prefix-dataset-27 = Eastern
  28. names-operation-prefix-dataset-28 = Endless
  29. names-operation-prefix-dataset-29 = Enemy
  30. names-operation-prefix-dataset-30 = Evil
  31. names-operation-prefix-dataset-31 = Exciting
  32. names-operation-prefix-dataset-32 = Explosive
  33. names-operation-prefix-dataset-33 = Extreme
  34. names-operation-prefix-dataset-34 = Fall
  35. names-operation-prefix-dataset-35 = Fresh
  36. names-operation-prefix-dataset-36 = Glorious
  37. names-operation-prefix-dataset-37 = God's
  38. names-operation-prefix-dataset-38 = Gold
  39. names-operation-prefix-dataset-39 = Green
  40. names-operation-prefix-dataset-40 = Grey
  41. names-operation-prefix-dataset-41 = Happy
  42. names-operation-prefix-dataset-42 = Holy
  43. names-operation-prefix-dataset-43 = Hot
  44. names-operation-prefix-dataset-44 = Human
  45. names-operation-prefix-dataset-45 = Illegal
  46. names-operation-prefix-dataset-46 = Impressive
  47. names-operation-prefix-dataset-47 = Iron
  48. names-operation-prefix-dataset-48 = Large
  49. names-operation-prefix-dataset-49 = Lizard
  50. names-operation-prefix-dataset-50 = Lovely
  51. names-operation-prefix-dataset-51 = Lucky
  52. names-operation-prefix-dataset-52 = Magical
  53. names-operation-prefix-dataset-53 = Monkey
  54. names-operation-prefix-dataset-54 = Moth
  55. names-operation-prefix-dataset-55 = Northern
  56. names-operation-prefix-dataset-56 = Nuclear
  57. names-operation-prefix-dataset-57 = Orange
  58. names-operation-prefix-dataset-58 = Outlaw
  59. names-operation-prefix-dataset-59 = Painful
  60. names-operation-prefix-dataset-60 = Phantasmagoric
  61. names-operation-prefix-dataset-61 = Plasma
  62. names-operation-prefix-dataset-62 = Plastic
  63. names-operation-prefix-dataset-63 = Purple
  64. names-operation-prefix-dataset-64 = Red
  65. names-operation-prefix-dataset-65 = Rival
  66. names-operation-prefix-dataset-66 = Robotic
  67. names-operation-prefix-dataset-67 = Robust
  68. names-operation-prefix-dataset-68 = Sad
  69. names-operation-prefix-dataset-69 = Secret
  70. names-operation-prefix-dataset-70 = Shadow
  71. names-operation-prefix-dataset-71 = Sick
  72. names-operation-prefix-dataset-72 = Silver
  73. names-operation-prefix-dataset-73 = Simian
  74. names-operation-prefix-dataset-74 = Skeleton
  75. names-operation-prefix-dataset-75 = Slime
  76. names-operation-prefix-dataset-76 = Southern
  77. names-operation-prefix-dataset-77 = Space
  78. names-operation-prefix-dataset-78 = Spring
  79. names-operation-prefix-dataset-79 = Stealth
  80. names-operation-prefix-dataset-80 = Steel
  81. names-operation-prefix-dataset-81 = Strange
  82. names-operation-prefix-dataset-82 = Summer
  83. names-operation-prefix-dataset-83 = Suspicious
  84. names-operation-prefix-dataset-84 = Tasty
  85. names-operation-prefix-dataset-85 = The
  86. names-operation-prefix-dataset-86 = Traitorous
  87. names-operation-prefix-dataset-87 = Turbo
  88. names-operation-prefix-dataset-88 = Unclean
  89. names-operation-prefix-dataset-89 = Unholy
  90. names-operation-prefix-dataset-90 = Unusual
  91. names-operation-prefix-dataset-91 = Vengeful
  92. names-operation-prefix-dataset-92 = Venomous
  93. names-operation-prefix-dataset-93 = Violent
  94. names-operation-prefix-dataset-94 = War
  95. names-operation-prefix-dataset-95 = Warm
  96. names-operation-prefix-dataset-96 = Weird
  97. names-operation-prefix-dataset-97 = Western
  98. names-operation-prefix-dataset-98 = Wet
  99. names-operation-prefix-dataset-99 = White
  100. names-operation-prefix-dataset-100 = Wild
  101. names-operation-prefix-dataset-101 = Winter
  102. names-operation-prefix-dataset-102 = Yellow