* Localize diona names * Localize moth names * Localize mushman names * Localize reptilian names * Localize skeleton names * Upstream diona names * names-moth-male/female-first-dataset -> names-moth-first-male/female-dataset * Correct prototype ids to follow naming conventions * NamesSkeletonFirst -> NamesSkeleton * Combine moth_first_female.yml, moth_first_male.yml and moth_last.yml * Forgot about skeleton prototype * Upstream names * Update Resources/Locale/en-US/datasets/names/diona_last.ftl * Update Resources/Locale/en-US/datasets/names/diona_last.ftl * keep first name for skeleton --------- Co-authored-by: slarticodefast <161409025+slarticodefast@users.noreply.github.com>
This commit is contained in:
MilenVolf
89
Resources/Locale/en-US/datasets/names/diona_first.ftl
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89
Resources/Locale/en-US/datasets/names/diona_first.ftl
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names-diona-first-dataset-1 = Moss
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names-diona-first-dataset-2 = Mushroom
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names-diona-first-dataset-3 = Herb
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names-diona-first-dataset-4 = Ivy
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names-diona-first-dataset-5 = Stalk
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names-diona-first-dataset-6 = Petal
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names-diona-first-dataset-7 = Petals
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names-diona-first-dataset-8 = Thorn
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names-diona-first-dataset-9 = Thorns
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names-diona-first-dataset-10 = Vine
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names-diona-first-dataset-11 = Vines
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names-diona-first-dataset-12 = Branch
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names-diona-first-dataset-13 = Branches
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names-diona-first-dataset-14 = Weed
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names-diona-first-dataset-15 = Weeds
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names-diona-first-dataset-16 = Rose
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names-diona-first-dataset-17 = Dandelion
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names-diona-first-dataset-18 = Lilac
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names-diona-first-dataset-19 = Lily
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names-diona-first-dataset-20 = Birch
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names-diona-first-dataset-21 = Oak
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names-diona-first-dataset-22 = Spruce
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names-diona-first-dataset-23 = Willow
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names-diona-first-dataset-24 = Cyprus
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names-diona-first-dataset-25 = Mangrove
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names-diona-first-dataset-26 = Stump
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names-diona-first-dataset-27 = Sap
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names-diona-first-dataset-28 = Bayou
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names-diona-first-dataset-29 = Bay
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names-diona-first-dataset-30 = Lake
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names-diona-first-dataset-31 = River
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names-diona-first-dataset-32 = Creek
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names-diona-first-dataset-33 = Meadow
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names-diona-first-dataset-34 = Canyon
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names-diona-first-dataset-35 = Mountain
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names-diona-first-dataset-36 = Peak
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names-diona-first-dataset-37 = Garden
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names-diona-first-dataset-38 = Ocean
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names-diona-first-dataset-39 = Arctic
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names-diona-first-dataset-40 = Sea
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names-diona-first-dataset-41 = Spring
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names-diona-first-dataset-42 = Swamp
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names-diona-first-dataset-43 = Stream
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names-diona-first-dataset-44 = Forest
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names-diona-first-dataset-45 = Rainforest
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names-diona-first-dataset-46 = Soil
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names-diona-first-dataset-47 = Valley
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names-diona-first-dataset-48 = Moor
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names-diona-first-dataset-49 = Steppe
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names-diona-first-dataset-50 = Orchard
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names-diona-first-dataset-51 = Orchid
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names-diona-first-dataset-52 = Glacier
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names-diona-first-dataset-53 = Desert
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names-diona-first-dataset-54 = Tundra
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names-diona-first-dataset-55 = Taiga
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names-diona-first-dataset-56 = Plain
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names-diona-first-dataset-57 = Plains
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names-diona-first-dataset-58 = Plateau
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names-diona-first-dataset-59 = Cliff
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names-diona-first-dataset-60 = Coast
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names-diona-first-dataset-61 = Shore
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names-diona-first-dataset-62 = Jungle
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names-diona-first-dataset-63 = Tropics
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names-diona-first-dataset-64 = Flower
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names-diona-first-dataset-65 = Grass
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names-diona-first-dataset-66 = Bark
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names-diona-first-dataset-67 = Autumn
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names-diona-first-dataset-68 = Summer
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names-diona-first-dataset-69 = Winter
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names-diona-first-dataset-70 = Fruit
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names-diona-first-dataset-71 = Leaves
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names-diona-first-dataset-72 = Overgrowth
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names-diona-first-dataset-73 = Atmosphere
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names-diona-first-dataset-74 = Climate
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names-diona-first-dataset-75 = Chill
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names-diona-first-dataset-76 = Winds
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names-diona-first-dataset-77 = Blossom
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names-diona-first-dataset-78 = Bloom
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names-diona-first-dataset-79 = Cap
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names-diona-first-dataset-80 = Saturation
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names-diona-first-dataset-81 = Permeation
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names-diona-first-dataset-82 = Light
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names-diona-first-dataset-83 = Taste
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names-diona-first-dataset-84 = Acorn
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names-diona-first-dataset-85 = Shell
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names-diona-first-dataset-86 = Ice
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names-diona-first-dataset-87 = Monsoon
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names-diona-first-dataset-88 = Overcast
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names-diona-first-dataset-89 = Storm
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128
Resources/Locale/en-US/datasets/names/diona_last.ftl
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Resources/Locale/en-US/datasets/names/diona_last.ftl
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# Positive
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names-diona-last-dataset-1 = Peace
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names-diona-last-dataset-2 = Harmony
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names-diona-last-dataset-3 = Relaxation
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names-diona-last-dataset-4 = Serendipity
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names-diona-last-dataset-5 = Calmness
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names-diona-last-dataset-6 = Introspection
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names-diona-last-dataset-7 = Union
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names-diona-last-dataset-8 = Comfort
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names-diona-last-dataset-9 = Dreams
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names-diona-last-dataset-10 = Quietude
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names-diona-last-dataset-11 = Balance
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names-diona-last-dataset-12 = Gentleness
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names-diona-last-dataset-13 = Placidity
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names-diona-last-dataset-14 = Repose
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names-diona-last-dataset-15 = Serenity
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names-diona-last-dataset-16 = Stillness
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names-diona-last-dataset-17 = Tranquility
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names-diona-last-dataset-18 = Ease
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names-diona-last-dataset-19 = Equilibrium
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names-diona-last-dataset-20 = Composure
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names-diona-last-dataset-21 = Control
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names-diona-last-dataset-22 = Bliss
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names-diona-last-dataset-23 = Enjoyment
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names-diona-last-dataset-24 = Optimism
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names-diona-last-dataset-25 = Ecstasy
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names-diona-last-dataset-26 = Cheer
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names-diona-last-dataset-27 = Delight
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names-diona-last-dataset-28 = Luxury
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names-diona-last-dataset-29 = Euphoria
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names-diona-last-dataset-30 = Excitement
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names-diona-last-dataset-31 = Satisfaction
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names-diona-last-dataset-32 = Cleanliness
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names-diona-last-dataset-33 = Expression
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names-diona-last-dataset-34 = Enrichment
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names-diona-last-dataset-35 = Enthusiam
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names-diona-last-dataset-36 = Brilliance
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names-diona-last-dataset-37 = Determination
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names-diona-last-dataset-38 = Integrity
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names-diona-last-dataset-39 = Justice
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names-diona-last-dataset-40 = Kindness
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names-diona-last-dataset-41 = Bravery
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names-diona-last-dataset-42 = Empathy
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names-diona-last-dataset-43 = Stoicism
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names-diona-last-dataset-44 = Competence
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names-diona-last-dataset-45 = Love
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names-diona-last-dataset-46 = Hope
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names-diona-last-dataset-47 = Honesty
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names-diona-last-dataset-48 = Generosity
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names-diona-last-dataset-49 = Opportunity
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names-diona-last-dataset-50 = Motivation
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# Neutral
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names-diona-last-dataset-51 = Urgency
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names-diona-last-dataset-52 = Vitality
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names-diona-last-dataset-53 = Hardiness
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names-diona-last-dataset-54 = Vigor
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names-diona-last-dataset-55 = Agility
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names-diona-last-dataset-56 = Dexterity
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names-diona-last-dataset-57 = Perception
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names-diona-last-dataset-58 = Wisdom
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names-diona-last-dataset-59 = Charisma
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names-diona-last-dataset-60 = Persistence
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names-diona-last-dataset-61 = Perseverance
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names-diona-last-dataset-62 = Density
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names-diona-last-dataset-63 = Strength
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names-diona-last-dataset-64 = Congestion
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names-diona-last-dataset-65 = Concentration
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names-diona-last-dataset-66 = Intensity
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names-diona-last-dataset-67 = Refinement
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names-diona-last-dataset-68 = Obscurity
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names-diona-last-dataset-69 = Fortitude
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names-diona-last-dataset-70 = Endurance
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names-diona-last-dataset-71 = Patience
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names-diona-last-dataset-72 = Passivity
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names-diona-last-dataset-73 = Indifference
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names-diona-last-dataset-74 = Sleepiness
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names-diona-last-dataset-75 = Neutrality
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names-diona-last-dataset-76 = Fairness
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names-diona-last-dataset-77 = Silliness
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names-diona-last-dataset-78 = Restraint
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names-diona-last-dataset-79 = Silence
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names-diona-last-dataset-80 = Bewilderment
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names-diona-last-dataset-81 = Tactility
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names-diona-last-dataset-82 = Invisibility
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names-diona-last-dataset-83 = Darkness
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names-diona-last-dataset-84 = Fragility
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names-diona-last-dataset-85 = Action
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names-diona-last-dataset-86 = Awakening
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names-diona-last-dataset-87 = Activity
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names-diona-last-dataset-88 = Audacity
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names-diona-last-dataset-89 = Vivacity
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names-diona-last-dataset-90 = Knowledge
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names-diona-last-dataset-91 = Modification
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# Negative
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# These should be something a diona would still realistically name themselves, i.e not inherently self deprecating.
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names-diona-last-dataset-92 = Envy
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names-diona-last-dataset-93 = Ineptitude
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names-diona-last-dataset-94 = Ignorance
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names-diona-last-dataset-95 = Decay
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names-diona-last-dataset-96 = Lethargy
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names-diona-last-dataset-97 = Bitterness
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names-diona-last-dataset-98 = Acidity
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names-diona-last-dataset-99 = Illness
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names-diona-last-dataset-100 = Weakness
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names-diona-last-dataset-101 = Enervation
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names-diona-last-dataset-102 = Fatigue
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names-diona-last-dataset-103 = Noxiousness
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names-diona-last-dataset-104 = Convolution
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names-diona-last-dataset-105 = Confusion
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names-diona-last-dataset-106 = Agitation
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names-diona-last-dataset-107 = Despair
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names-diona-last-dataset-108 = Sorrow
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names-diona-last-dataset-109 = Pain
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names-diona-last-dataset-110 = Animosity
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names-diona-last-dataset-111 = Fury
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names-diona-last-dataset-112 = Disinterest
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names-diona-last-dataset-113 = Anger
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names-diona-last-dataset-114 = Rage
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names-diona-last-dataset-115 = Displeasure
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names-diona-last-dataset-116 = Irritation
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names-diona-last-dataset-117 = Resentment
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names-diona-last-dataset-118 = Soreness
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names-diona-last-dataset-119 = Frustration
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names-diona-last-dataset-120 = Insanity
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names-diona-last-dataset-121 = Chaos
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names-diona-last-dataset-122 = Fear
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93
Resources/Locale/en-US/datasets/names/moth_first_female.ftl
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# Acherontia atropos
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names-moth-first-female-dataset-1 = Atropos
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# Biston betularia
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names-moth-first-female-dataset-2 = Betularia
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# Daphnis
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names-moth-first-female-dataset-3 = Daphne
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# Eurypteryx
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names-moth-first-female-dataset-4 = Eurypta
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# Eudryas
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names-moth-first-female-dataset-5 = Eudryas
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# Salassa iris
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names-moth-first-female-dataset-6 = Iris
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# Acherontia lachesis
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names-moth-first-female-dataset-7 = Lachesis
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# Actias luna
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names-moth-first-female-dataset-8 = Luna
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# Lymantria
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names-moth-first-female-dataset-9 = Lymanzia
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# Dryocampa rubicunda, "Rosy Maple"
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names-moth-first-female-dataset-10 = Maple
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# Mimas
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names-moth-first-female-dataset-11 = Mima
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# Nephele
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names-moth-first-female-dataset-12 = Nephele
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# Dryocampa rubicunda
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names-moth-first-female-dataset-13 = Rosie
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# Cosmosoma myrodora, "Scarlet-bodied wasp moth"
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names-moth-first-female-dataset-14 = Scarlet
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# Acherontia styx
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names-moth-first-female-dataset-15 = Styx
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## Other languages
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# Galician "moth" (avelaíña)
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names-moth-first-female-dataset-16 = Avelaina
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# Italian "winter moth"
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names-moth-first-female-dataset-17 = Falena
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# Greek "moon gift"
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names-moth-first-female-dataset-18 = Menodora
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# Romanian "moth"
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names-moth-first-female-dataset-19 = Molie
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# Spanish "moth"
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names-moth-first-female-dataset-20 = Polilla
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## Myth and legend
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# Greek mythological figure
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names-moth-first-female-dataset-21 = Althea
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# Roman goddess of the dawn
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names-moth-first-female-dataset-22 = Aurora
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# Greek mythological figure
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names-moth-first-female-dataset-23 = Helle
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# Greek goddess of the moon
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names-moth-first-female-dataset-24 = Selene
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# Greek goddess of the night
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names-moth-first-female-dataset-25 = Nyx
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## Fun names
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names-moth-first-female-dataset-26 = Angel
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names-moth-first-female-dataset-27 = Sandy
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names-moth-first-female-dataset-28 = Liberty
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names-moth-first-female-dataset-29 = Beatrix
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## Common names, filler
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names-moth-first-female-dataset-30 = Daisy
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names-moth-first-female-dataset-31 = Dawn
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names-moth-first-female-dataset-32 = Elizabeth
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names-moth-first-female-dataset-33 = Lucy
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names-moth-first-female-dataset-34 = Ruby
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names-moth-first-female-dataset-35 = Sarah
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names-moth-first-female-dataset-36 = Sienna
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names-moth-first-female-dataset-37 = Willow
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names-moth-first-female-dataset-38 = Zoey
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94
Resources/Locale/en-US/datasets/names/moth_first_male.ftl
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# Agrius
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names-moth-first-male-dataset-1 = Agrius
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# Attacus atlas
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names-moth-first-male-dataset-2 = Atlas
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# Attacus
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names-moth-first-male-dataset-3 = Attacus
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# Attacus caesar
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names-moth-first-male-dataset-4 = Caesar
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# Coscinocera hercules
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names-moth-first-male-dataset-5 = Hercules
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# Itame brunneata, "Rannoch Looper"
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names-moth-first-male-dataset-6 = Rannoch
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# Acosmeryx socrates
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names-moth-first-male-dataset-7 = Socrates
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# Saturniidae solus
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names-moth-first-male-dataset-8 = Solus
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## Other languages
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# Hebrew עש "moth"
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names-moth-first-male-dataset-9 = Ash
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||||
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||||
# Persian "fire"
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names-moth-first-male-dataset-10 = Azar
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# German "emperor" descendant of the Latin caesar
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names-moth-first-male-dataset-11 = Kaiser
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# Latin "king"
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names-moth-first-male-dataset-12 = Rex
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# Sanskrit "darkness" or "dust"
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names-moth-first-male-dataset-13 = Rajas
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# Greek "clothes moth"
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names-moth-first-male-dataset-14 = Skoros
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## Myth and legend
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# Legendary king of the Britons who crafted wings and died in his attempt at flight
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names-moth-first-male-dataset-15 = Bladud
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# Father of Icarus
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names-moth-first-male-dataset-16 = Daedalus
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# Greek primordial deity of darkness
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names-moth-first-male-dataset-17 = Erebus
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# The classic
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names-moth-first-male-dataset-18 = Icarus
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# Hindu figure, similar to Icarus
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names-moth-first-male-dataset-19 = Jatayu
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||||
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||||
# Japanese reading of 夸父（こほ）
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names-moth-first-male-dataset-20 = Koho
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# Chinese giant 夸父, similar to Icarus
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names-moth-first-male-dataset-21 = Kuafu
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# More commonly-known fall-from-heaven figure
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names-moth-first-male-dataset-22 = Lucifer
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||||
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||||
# Arthurian wizard
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names-moth-first-male-dataset-23 = Merlin
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||||
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||||
# Another Greek figure, similar to Icarus
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names-moth-first-male-dataset-24 = Phaethon
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||||
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||||
# Rendering of Bladud from the Welsh blaidd "wolf" + iudd "lord"
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names-moth-first-male-dataset-25 = Wolford
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## Fun names
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||||
names-moth-first-male-dataset-26 = Ace
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||||
names-moth-first-male-dataset-27 = Altair
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||||
names-moth-first-male-dataset-28 = Dusty
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||||
names-moth-first-male-dataset-29 = Gambit
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||||
names-moth-first-male-dataset-30 = Hawk
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names-moth-first-male-dataset-31 = Mothew
|
||||
names-moth-first-male-dataset-32 = Timothy
|
||||
|
||||
## Common names, filler
|
||||
names-moth-first-male-dataset-33 = Asher
|
||||
names-moth-first-male-dataset-34 = Isaac
|
||||
names-moth-first-male-dataset-35 = Roman
|
||||
names-moth-first-male-dataset-36 = Samuel
|
||||
names-moth-first-male-dataset-37 = Sebastian
|
||||
names-moth-first-male-dataset-38 = Silas
|
||||
names-moth-first-male-dataset-39 = Simon
|
||||
59
Resources/Locale/en-US/datasets/names/moth_last.ftl
Normal file
59
Resources/Locale/en-US/datasets/names/moth_last.ftl
Normal file
@@ -0,0 +1,59 @@
|
||||
# Ascalapha odorata
|
||||
names-moth-last-dataset-1 = Blackwitch
|
||||
|
||||
# Refers to any of the 3 Acherontia
|
||||
names-moth-last-dataset-2 = Deathshead
|
||||
|
||||
# Saturniinae
|
||||
names-moth-last-dataset-3 = Emperor
|
||||
|
||||
# Plagodis dolabraria
|
||||
names-moth-last-dataset-4 = Scorchedwing
|
||||
|
||||
# Temnora
|
||||
names-moth-last-dataset-5 = Temnora
|
||||
|
||||
# Usta
|
||||
names-moth-last-dataset-6 = Usta
|
||||
|
||||
# Thysania agrippina
|
||||
names-moth-last-dataset-7 = Whitewitch
|
||||
|
||||
# Operophtera brumata
|
||||
names-moth-last-dataset-8 = Winter
|
||||
|
||||
## Other languages
|
||||
# Ancient Greek "moth"
|
||||
names-moth-last-dataset-9 = Epiolos
|
||||
|
||||
# Conceivably any Old Norse descendant of mǫlr but probably more Danish than anything. "oe" digraph for ø.
|
||||
names-moth-last-dataset-10 = Moeller
|
||||
|
||||
# Literal pseudo-translation of German Nachtfalter
|
||||
names-moth-last-dataset-11 = Nightflitter
|
||||
|
||||
## Myth and legend
|
||||
# Belief of moths flying at night signalling the reception of a letter
|
||||
names-moth-last-dataset-12 = Herald
|
||||
|
||||
# Greek figure associated with Hero, and similar sounding to Oleander hawk-moth
|
||||
names-moth-last-dataset-13 = Leander
|
||||
|
||||
# Split between being a myth reference and actual possible surname given the actual Goodman, Hoffman, Newman, Coleman, etc.
|
||||
names-moth-last-dataset-14 = Mothman
|
||||
|
||||
## Fun names
|
||||
names-moth-last-dataset-15 = Cometrider
|
||||
names-moth-last-dataset-16 = Eventide
|
||||
names-moth-last-dataset-17 = Firefly
|
||||
names-moth-last-dataset-18 = Firebrush
|
||||
names-moth-last-dataset-19 = Flamecoat
|
||||
names-moth-last-dataset-20 = Lightweaver
|
||||
names-moth-last-dataset-21 = Moondancer
|
||||
names-moth-last-dataset-22 = Nightwish
|
||||
names-moth-last-dataset-23 = Nighteyes
|
||||
names-moth-last-dataset-24 = Owlbane
|
||||
names-moth-last-dataset-25 = Silktongue
|
||||
names-moth-last-dataset-26 = Sparkdrawn
|
||||
names-moth-last-dataset-27 = Stargazer
|
||||
names-moth-last-dataset-28 = Starseeker
|
||||
54
Resources/Locale/en-US/datasets/names/mushman_first.ftl
Normal file
54
Resources/Locale/en-US/datasets/names/mushman_first.ftl
Normal file
@@ -0,0 +1,54 @@
|
||||
names-mushman-first-dataset-1 = Pleurocybella
|
||||
names-mushman-first-dataset-2 = Geastrum
|
||||
names-mushman-first-dataset-3 = Tricholoma
|
||||
names-mushman-first-dataset-4 = Ganoderma
|
||||
names-mushman-first-dataset-5 = Galerina
|
||||
names-mushman-first-dataset-6 = Fistulina
|
||||
names-mushman-first-dataset-7 = Gyromitra
|
||||
names-mushman-first-dataset-8 = Leccinum
|
||||
names-mushman-first-dataset-9 = Crucilulum
|
||||
names-mushman-first-dataset-10 = Craterellus
|
||||
names-mushman-first-dataset-11 = Geoglossum
|
||||
names-mushman-first-dataset-12 = Helvella
|
||||
names-mushman-first-dataset-13 = Exidia
|
||||
names-mushman-first-dataset-14 = Clitocybe
|
||||
names-mushman-first-dataset-15 = Psilocybe
|
||||
names-mushman-first-dataset-16 = Panaeolus
|
||||
names-mushman-first-dataset-17 = Amanita
|
||||
names-mushman-first-dataset-18 = Paxillus
|
||||
names-mushman-first-dataset-19 = Spheaerobolus
|
||||
names-mushman-first-dataset-20 = Sparassis
|
||||
names-mushman-first-dataset-21 = Lepiota
|
||||
names-mushman-first-dataset-22 = Leotia
|
||||
names-mushman-first-dataset-23 = Clavariadelphus
|
||||
names-mushman-first-dataset-24 = Annulohypoxylon
|
||||
names-mushman-first-dataset-25 = Pisolitus
|
||||
names-mushman-first-dataset-26 = Pluteus
|
||||
names-mushman-first-dataset-27 = Flammulina
|
||||
names-mushman-first-dataset-28 = Marasmius
|
||||
names-mushman-first-dataset-29 = Clavaria
|
||||
names-mushman-first-dataset-30 = Stereum
|
||||
names-mushman-first-dataset-31 = Cortinarius
|
||||
names-mushman-first-dataset-32 = Lyophyllum
|
||||
names-mushman-first-dataset-33 = Hydnum
|
||||
names-mushman-first-dataset-34 = Poria
|
||||
names-mushman-first-dataset-35 = Armillaria
|
||||
names-mushman-first-dataset-36 = Hypsizygus
|
||||
names-mushman-first-dataset-37 = Agaricus
|
||||
names-mushman-first-dataset-38 = Omphalotus
|
||||
names-mushman-first-dataset-39 = Boletus
|
||||
names-mushman-first-dataset-40 = Boletopsis
|
||||
names-mushman-first-dataset-41 = Gymnopilus
|
||||
names-mushman-first-dataset-42 = Hericium
|
||||
names-mushman-first-dataset-43 = Grifola
|
||||
names-mushman-first-dataset-44 = Morchella
|
||||
names-mushman-first-dataset-45 = Clathrus
|
||||
names-mushman-first-dataset-46 = Pleurotus
|
||||
names-mushman-first-dataset-47 = Discina
|
||||
names-mushman-first-dataset-48 = Chalciporus
|
||||
names-mushman-first-dataset-49 = Calvatia
|
||||
names-mushman-first-dataset-50 = Caulorhiza
|
||||
names-mushman-first-dataset-51 = Tremella
|
||||
names-mushman-first-dataset-52 = Volvariella
|
||||
names-mushman-first-dataset-53 = Hypholoma
|
||||
names-mushman-first-dataset-54 = Lactarius
|
||||
97
Resources/Locale/en-US/datasets/names/mushman_last.ftl
Normal file
97
Resources/Locale/en-US/datasets/names/mushman_last.ftl
Normal file
@@ -0,0 +1,97 @@
|
||||
names-mushman-last-dataset-1 = Porrigens
|
||||
names-mushman-last-dataset-2 = Deceptiva
|
||||
names-mushman-last-dataset-3 = Fornicatum
|
||||
names-mushman-last-dataset-4 = Magnivelare
|
||||
names-mushman-last-dataset-5 = Applanatum
|
||||
names-mushman-last-dataset-6 = Marginata
|
||||
names-mushman-last-dataset-7 = Abietis
|
||||
names-mushman-last-dataset-8 = Hepatica
|
||||
names-mushman-last-dataset-9 = Esculenta
|
||||
names-mushman-last-dataset-10 = Scabrum
|
||||
names-mushman-last-dataset-11 = Laeve
|
||||
names-mushman-last-dataset-12 = Cornucopioides
|
||||
names-mushman-last-dataset-13 = Fallax
|
||||
names-mushman-last-dataset-14 = Lacunosa
|
||||
names-mushman-last-dataset-15 = Glandulosa
|
||||
names-mushman-last-dataset-16 = Caerulipes
|
||||
names-mushman-last-dataset-17 = Cyanescens
|
||||
names-mushman-last-dataset-18 = Novinupta
|
||||
names-mushman-last-dataset-19 = Involutus
|
||||
names-mushman-last-dataset-20 = Bisporus
|
||||
names-mushman-last-dataset-21 = Rubidus
|
||||
names-mushman-last-dataset-22 = Stellatus
|
||||
names-mushman-last-dataset-23 = Crispa
|
||||
names-mushman-last-dataset-24 = Campestris
|
||||
names-mushman-last-dataset-25 = Castenea
|
||||
names-mushman-last-dataset-26 = Viscosa
|
||||
names-mushman-last-dataset-27 = Occidentalis
|
||||
names-mushman-last-dataset-28 = Lanei
|
||||
names-mushman-last-dataset-29 = Thouarsianum
|
||||
names-mushman-last-dataset-30 = Brunneoincarnata
|
||||
names-mushman-last-dataset-31 = Josserandi
|
||||
names-mushman-last-dataset-32 = Tinctorius
|
||||
names-mushman-last-dataset-33 = Phalloides
|
||||
names-mushman-last-dataset-34 = Cervinus
|
||||
names-mushman-last-dataset-35 = Ocreata
|
||||
names-mushman-last-dataset-36 = Subjunquillea
|
||||
names-mushman-last-dataset-37 = Velutipes
|
||||
names-mushman-last-dataset-38 = Virosa
|
||||
names-mushman-last-dataset-39 = Oreades
|
||||
names-mushman-last-dataset-40 = Vermicularis
|
||||
names-mushman-last-dataset-41 = Rivulosa
|
||||
names-mushman-last-dataset-42 = Hirsutum
|
||||
names-mushman-last-dataset-43 = Verna
|
||||
names-mushman-last-dataset-44 = Orellanus
|
||||
names-mushman-last-dataset-45 = Decastes
|
||||
names-mushman-last-dataset-46 = Tubaeformis
|
||||
names-mushman-last-dataset-47 = Constricta
|
||||
names-mushman-last-dataset-48 = Exitialis
|
||||
names-mushman-last-dataset-49 = Caperatus
|
||||
names-mushman-last-dataset-50 = Umbilicatum
|
||||
names-mushman-last-dataset-51 = Cocos
|
||||
names-mushman-last-dataset-52 = Mellea
|
||||
names-mushman-last-dataset-53 = Tessulatus
|
||||
names-mushman-last-dataset-54 = Arvensis
|
||||
names-mushman-last-dataset-55 = Dealbata
|
||||
names-mushman-last-dataset-56 = Olearius
|
||||
names-mushman-last-dataset-57 = Edulis
|
||||
names-mushman-last-dataset-58 = Baeocystis
|
||||
names-mushman-last-dataset-59 = Leucomelaena
|
||||
names-mushman-last-dataset-60 = Caerulescens
|
||||
names-mushman-last-dataset-61 = Junonius
|
||||
names-mushman-last-dataset-62 = Erinaceum
|
||||
names-mushman-last-dataset-63 = Aeruginosus
|
||||
names-mushman-last-dataset-64 = Frondosa
|
||||
names-mushman-last-dataset-65 = Elata
|
||||
names-mushman-last-dataset-66 = Archeri
|
||||
names-mushman-last-dataset-67 = Tropicalis
|
||||
names-mushman-last-dataset-68 = Pantherina
|
||||
names-mushman-last-dataset-69 = Piperaturs
|
||||
names-mushman-last-dataset-70 = Perlata
|
||||
names-mushman-last-dataset-71 = Orcharaceus
|
||||
names-mushman-last-dataset-72 = Augustus
|
||||
names-mushman-last-dataset-73 = Subsculpta
|
||||
names-mushman-last-dataset-74 = Cyathiformis
|
||||
names-mushman-last-dataset-75 = Regineus
|
||||
names-mushman-last-dataset-76 = Erubescens
|
||||
names-mushman-last-dataset-77 = Rubripes
|
||||
names-mushman-last-dataset-78 = Umbonata
|
||||
names-mushman-last-dataset-79 = Lucidium
|
||||
names-mushman-last-dataset-80 = Eastwoodiae
|
||||
names-mushman-last-dataset-81 = Sculpta
|
||||
names-mushman-last-dataset-82 = Edodes
|
||||
names-mushman-last-dataset-83 = Fuciformis
|
||||
names-mushman-last-dataset-84 = Velosa
|
||||
names-mushman-last-dataset-85 = Rex-ceris
|
||||
names-mushman-last-dataset-86 = Volvacea
|
||||
names-mushman-last-dataset-87 = Fasciculare
|
||||
names-mushman-last-dataset-88 = Bitorquis
|
||||
names-mushman-last-dataset-89 = Flaviporus
|
||||
names-mushman-last-dataset-90 = Pachycolea
|
||||
names-mushman-last-dataset-91 = Subaldidus
|
||||
names-mushman-last-dataset-92 = Rugosoannulata
|
||||
names-mushman-last-dataset-93 = Subrutilescens
|
||||
names-mushman-last-dataset-94 = Nuda
|
||||
names-mushman-last-dataset-95 = Torminosus
|
||||
names-mushman-last-dataset-96 = Equestre
|
||||
names-mushman-last-dataset-97 = Xanthodermus
|
||||
163
Resources/Locale/en-US/datasets/names/reptilian_female.ftl
Normal file
163
Resources/Locale/en-US/datasets/names/reptilian_female.ftl
Normal file
@@ -0,0 +1,163 @@
|
||||
names-reptilian-female-dataset-1 = Adzi
|
||||
names-reptilian-female-dataset-2 = Ah
|
||||
names-reptilian-female-dataset-3 = Ahaht
|
||||
names-reptilian-female-dataset-4 = Ajim
|
||||
names-reptilian-female-dataset-5 = Akeenus
|
||||
names-reptilian-female-dataset-6 = Akish
|
||||
names-reptilian-female-dataset-7 = Akishan
|
||||
names-reptilian-female-dataset-8 = Aleeto
|
||||
names-reptilian-female-dataset-9 = Am
|
||||
names-reptilian-female-dataset-10 = Amussa
|
||||
names-reptilian-female-dataset-11 = An
|
||||
names-reptilian-female-dataset-12 = Anozz
|
||||
names-reptilian-female-dataset-13 = Asheemar
|
||||
names-reptilian-female-dataset-14 = Asska
|
||||
names-reptilian-female-dataset-15 = Awas
|
||||
names-reptilian-female-dataset-16 = Azala
|
||||
names-reptilian-female-dataset-17 = Azbai
|
||||
names-reptilian-female-dataset-18 = Azeez
|
||||
names-reptilian-female-dataset-19 = Azum
|
||||
names-reptilian-female-dataset-20 = Banalz
|
||||
names-reptilian-female-dataset-21 = Bar
|
||||
names-reptilian-female-dataset-22 = Baseenar
|
||||
names-reptilian-female-dataset-23 = Beek
|
||||
names-reptilian-female-dataset-24 = Beekatan
|
||||
names-reptilian-female-dataset-25 = Beekus
|
||||
names-reptilian-female-dataset-26 = Beela
|
||||
names-reptilian-female-dataset-27 = Beelei
|
||||
names-reptilian-female-dataset-28 = Beem
|
||||
names-reptilian-female-dataset-29 = Beewos
|
||||
names-reptilian-female-dataset-30 = Bejeen
|
||||
names-reptilian-female-dataset-31 = Ber
|
||||
names-reptilian-female-dataset-32 = Betzi
|
||||
names-reptilian-female-dataset-33 = Bishalus
|
||||
names-reptilian-female-dataset-34 = Bokeeus
|
||||
names-reptilian-female-dataset-35 = Bur
|
||||
names-reptilian-female-dataset-36 = Bura
|
||||
names-reptilian-female-dataset-37 = Chalaree
|
||||
names-reptilian-female-dataset-38 = Chana
|
||||
names-reptilian-female-dataset-39 = Chanil
|
||||
names-reptilian-female-dataset-40 = Chee
|
||||
names-reptilian-female-dataset-41 = Cheesh
|
||||
names-reptilian-female-dataset-42 = Chimatei
|
||||
names-reptilian-female-dataset-43 = Chirurgeon
|
||||
names-reptilian-female-dataset-44 = Cholasistu
|
||||
names-reptilian-female-dataset-45 = Chuna
|
||||
names-reptilian-female-dataset-46 = Churasu
|
||||
names-reptilian-female-dataset-47 = Crath
|
||||
names-reptilian-female-dataset-48 = Dar
|
||||
names-reptilian-female-dataset-49 = Deeja
|
||||
names-reptilian-female-dataset-50 = Deesei
|
||||
names-reptilian-female-dataset-51 = Deesh
|
||||
names-reptilian-female-dataset-52 = Deetsan
|
||||
names-reptilian-female-dataset-53 = Deetwos
|
||||
names-reptilian-female-dataset-54 = Dooka
|
||||
names-reptilian-female-dataset-55 = Druja
|
||||
names-reptilian-female-dataset-56 = Eepa
|
||||
names-reptilian-female-dataset-57 = Ei
|
||||
names-reptilian-female-dataset-58 = Eix
|
||||
names-reptilian-female-dataset-59 = El
|
||||
names-reptilian-female-dataset-60 = Ereel
|
||||
names-reptilian-female-dataset-61 = Eutei
|
||||
names-reptilian-female-dataset-62 = Gai
|
||||
names-reptilian-female-dataset-63 = Gih
|
||||
names-reptilian-female-dataset-64 = Gilm
|
||||
names-reptilian-female-dataset-65 = Gish
|
||||
names-reptilian-female-dataset-66 = Go
|
||||
names-reptilian-female-dataset-67 = Hal
|
||||
names-reptilian-female-dataset-68 = Hul
|
||||
names-reptilian-female-dataset-69 = Ja
|
||||
names-reptilian-female-dataset-70 = Jaseen
|
||||
names-reptilian-female-dataset-71 = Jasuda
|
||||
names-reptilian-female-dataset-72 = Jeed
|
||||
names-reptilian-female-dataset-73 = Jeen
|
||||
names-reptilian-female-dataset-74 = Kajul
|
||||
names-reptilian-female-dataset-75 = Kal
|
||||
names-reptilian-female-dataset-76 = Kasa
|
||||
names-reptilian-female-dataset-77 = Keel
|
||||
names-reptilian-female-dataset-78 = Keerava
|
||||
names-reptilian-female-dataset-79 = Kiurz
|
||||
names-reptilian-female-dataset-80 = Kud
|
||||
names-reptilian-female-dataset-81 = La
|
||||
names-reptilian-female-dataset-82 = Lee
|
||||
names-reptilian-female-dataset-83 = Lei
|
||||
names-reptilian-female-dataset-84 = Lifts
|
||||
names-reptilian-female-dataset-85 = Liurz
|
||||
names-reptilian-female-dataset-86 = Lurasha
|
||||
names-reptilian-female-dataset-87 = Ma
|
||||
names-reptilian-female-dataset-88 = Mach
|
||||
names-reptilian-female-dataset-89 = Marz
|
||||
names-reptilian-female-dataset-90 = Meedish
|
||||
names-reptilian-female-dataset-91 = Meeh
|
||||
names-reptilian-female-dataset-92 = Meema
|
||||
names-reptilian-female-dataset-93 = Meen
|
||||
names-reptilian-female-dataset-94 = Meena
|
||||
names-reptilian-female-dataset-95 = Meenus
|
||||
names-reptilian-female-dataset-96 = Meerana
|
||||
names-reptilian-female-dataset-97 = Meesei
|
||||
names-reptilian-female-dataset-98 = Meeus
|
||||
names-reptilian-female-dataset-99 = Mei
|
||||
names-reptilian-female-dataset-100 = Milah
|
||||
names-reptilian-female-dataset-101 = Mim
|
||||
names-reptilian-female-dataset-102 = Mota
|
||||
names-reptilian-female-dataset-103 = Mudeska
|
||||
names-reptilian-female-dataset-104 = Muz
|
||||
names-reptilian-female-dataset-105 = Na
|
||||
names-reptilian-female-dataset-106 = Nakuma
|
||||
names-reptilian-female-dataset-107 = Nam
|
||||
names-reptilian-female-dataset-108 = Nassa
|
||||
names-reptilian-female-dataset-109 = Natoo
|
||||
names-reptilian-female-dataset-110 = Neesha
|
||||
names-reptilian-female-dataset-111 = Neetizei
|
||||
names-reptilian-female-dataset-112 = Neetra
|
||||
names-reptilian-female-dataset-113 = Neeus
|
||||
names-reptilian-female-dataset-114 = Niima
|
||||
names-reptilian-female-dataset-115 = Numeen
|
||||
names-reptilian-female-dataset-116 = Nuralg
|
||||
names-reptilian-female-dataset-117 = Nush
|
||||
names-reptilian-female-dataset-118 = Ocheeva
|
||||
names-reptilian-female-dataset-119 = Okur
|
||||
names-reptilian-female-dataset-120 = Olank
|
||||
names-reptilian-female-dataset-121 = On
|
||||
names-reptilian-female-dataset-122 = Onasha
|
||||
names-reptilian-female-dataset-123 = Osheeka
|
||||
names-reptilian-female-dataset-124 = Pasha
|
||||
names-reptilian-female-dataset-125 = Ra
|
||||
names-reptilian-female-dataset-126 = Rana
|
||||
names-reptilian-female-dataset-127 = Raniur
|
||||
names-reptilian-female-dataset-128 = Ree
|
||||
names-reptilian-female-dataset-129 = Reesa
|
||||
names-reptilian-female-dataset-130 = Rei
|
||||
names-reptilian-female-dataset-131 = Sa
|
||||
names-reptilian-female-dataset-132 = Saak
|
||||
names-reptilian-female-dataset-133 = Sanax
|
||||
names-reptilian-female-dataset-134 = Seeba
|
||||
names-reptilian-female-dataset-135 = Seed
|
||||
names-reptilian-female-dataset-136 = Seen
|
||||
names-reptilian-female-dataset-137 = Shah
|
||||
names-reptilian-female-dataset-138 = Shahvee
|
||||
names-reptilian-female-dataset-139 = Shaleez
|
||||
names-reptilian-female-dataset-140 = Shatalg
|
||||
names-reptilian-female-dataset-141 = Sheer
|
||||
names-reptilian-female-dataset-142 = Shei
|
||||
names-reptilian-female-dataset-143 = Sigerthe
|
||||
names-reptilian-female-dataset-144 = Skaleel
|
||||
names-reptilian-female-dataset-145 = Sudie
|
||||
names-reptilian-female-dataset-146 = Tail
|
||||
names-reptilian-female-dataset-147 = Tar
|
||||
names-reptilian-female-dataset-148 = Tasha
|
||||
names-reptilian-female-dataset-149 = Tei
|
||||
names-reptilian-female-dataset-150 = Telixith
|
||||
names-reptilian-female-dataset-151 = Tumma
|
||||
names-reptilian-female-dataset-152 = Veek
|
||||
names-reptilian-female-dataset-153 = Wan
|
||||
names-reptilian-female-dataset-154 = Wazei
|
||||
names-reptilian-female-dataset-155 = Weedum
|
||||
names-reptilian-female-dataset-156 = Weewish
|
||||
names-reptilian-female-dataset-157 = Witseidutsei
|
||||
names-reptilian-female-dataset-158 = Wuja
|
||||
names-reptilian-female-dataset-159 = Wujeeta
|
||||
names-reptilian-female-dataset-160 = Wusha
|
||||
names-reptilian-female-dataset-161 = Xil
|
||||
names-reptilian-female-dataset-162 = Zish
|
||||
names-reptilian-female-dataset-163 = Zollassa
|
||||
328
Resources/Locale/en-US/datasets/names/reptilian_male.ftl
Normal file
328
Resources/Locale/en-US/datasets/names/reptilian_male.ftl
Normal file
@@ -0,0 +1,328 @@
|
||||
names-reptilian-male-dataset-1 = Abijoo
|
||||
names-reptilian-male-dataset-2 = Ah
|
||||
names-reptilian-male-dataset-3 = Ajum
|
||||
names-reptilian-male-dataset-4 = Am
|
||||
names-reptilian-male-dataset-5 = Amusei
|
||||
names-reptilian-male-dataset-6 = An
|
||||
names-reptilian-male-dataset-7 = Anoo
|
||||
names-reptilian-male-dataset-8 = Aojee
|
||||
names-reptilian-male-dataset-9 = Asum
|
||||
names-reptilian-male-dataset-10 = Az
|
||||
names-reptilian-male-dataset-11 = Azeel
|
||||
names-reptilian-male-dataset-12 = Azinar
|
||||
names-reptilian-male-dataset-13 = Azjai
|
||||
names-reptilian-male-dataset-14 = Baar
|
||||
names-reptilian-male-dataset-15 = Banka
|
||||
names-reptilian-male-dataset-16 = Bar
|
||||
names-reptilian-male-dataset-17 = Barnaxi
|
||||
names-reptilian-male-dataset-18 = Batar
|
||||
names-reptilian-male-dataset-19 = Batuus
|
||||
names-reptilian-male-dataset-20 = Beem
|
||||
names-reptilian-male-dataset-21 = Beshnus
|
||||
names-reptilian-male-dataset-22 = Betu
|
||||
names-reptilian-male-dataset-23 = Bex
|
||||
names-reptilian-male-dataset-24 = Bijot
|
||||
names-reptilian-male-dataset-25 = Bimee
|
||||
names-reptilian-male-dataset-26 = Binyaar
|
||||
names-reptilian-male-dataset-27 = Bosekus
|
||||
names-reptilian-male-dataset-28 = Brand
|
||||
names-reptilian-male-dataset-29 = Bun
|
||||
names-reptilian-male-dataset-30 = Bunach
|
||||
names-reptilian-male-dataset-31 = Bunish
|
||||
names-reptilian-male-dataset-32 = Busheeus
|
||||
names-reptilian-male-dataset-33 = Buujhan
|
||||
names-reptilian-male-dataset-34 = Chakuk
|
||||
names-reptilian-male-dataset-35 = Chalish
|
||||
names-reptilian-male-dataset-36 = Chalureel
|
||||
names-reptilian-male-dataset-37 = Chath
|
||||
names-reptilian-male-dataset-38 = Chee
|
||||
names-reptilian-male-dataset-39 = Cheedal
|
||||
names-reptilian-male-dataset-40 = Chilwir
|
||||
names-reptilian-male-dataset-41 = Chitakus
|
||||
names-reptilian-male-dataset-42 = Chiwish
|
||||
names-reptilian-male-dataset-43 = Chulz
|
||||
names-reptilian-male-dataset-44 = Chuna
|
||||
names-reptilian-male-dataset-45 = Da
|
||||
names-reptilian-male-dataset-46 = Dakee
|
||||
names-reptilian-male-dataset-47 = Dan
|
||||
names-reptilian-male-dataset-48 = Dar
|
||||
names-reptilian-male-dataset-49 = Darasken
|
||||
names-reptilian-male-dataset-50 = DarJee
|
||||
names-reptilian-male-dataset-51 = Debameel
|
||||
names-reptilian-male-dataset-52 = Deed
|
||||
names-reptilian-male-dataset-53 = Deegeeta
|
||||
names-reptilian-male-dataset-54 = Deeh
|
||||
names-reptilian-male-dataset-55 = Deekonus
|
||||
names-reptilian-male-dataset-56 = Deekum
|
||||
names-reptilian-male-dataset-57 = Deekus
|
||||
names-reptilian-male-dataset-58 = Deerkaza
|
||||
names-reptilian-male-dataset-59 = Deetum
|
||||
names-reptilian-male-dataset-60 = Demeepa
|
||||
names-reptilian-male-dataset-61 = Depasa
|
||||
names-reptilian-male-dataset-62 = Derkeethus
|
||||
names-reptilian-male-dataset-63 = Deroh
|
||||
names-reptilian-male-dataset-64 = Dezanu
|
||||
names-reptilian-male-dataset-65 = Dreet
|
||||
names-reptilian-male-dataset-66 = Drumarz
|
||||
names-reptilian-male-dataset-67 = Dum
|
||||
names-reptilian-male-dataset-68 = Dunaxith
|
||||
names-reptilian-male-dataset-69 = Effe
|
||||
names-reptilian-male-dataset-70 = Ei
|
||||
names-reptilian-male-dataset-71 = Eidu
|
||||
names-reptilian-male-dataset-72 = Eius
|
||||
names-reptilian-male-dataset-73 = Eiuus
|
||||
names-reptilian-male-dataset-74 = Eix
|
||||
names-reptilian-male-dataset-75 = Eleedal
|
||||
names-reptilian-male-dataset-76 = Er
|
||||
names-reptilian-male-dataset-77 = Esqoo
|
||||
names-reptilian-male-dataset-78 = Etaku
|
||||
names-reptilian-male-dataset-79 = Gah
|
||||
names-reptilian-male-dataset-80 = Gajul
|
||||
names-reptilian-male-dataset-81 = Gam
|
||||
names-reptilian-male-dataset-82 = Geeh
|
||||
names-reptilian-male-dataset-83 = Geel
|
||||
names-reptilian-male-dataset-84 = Geem
|
||||
names-reptilian-male-dataset-85 = Geh
|
||||
names-reptilian-male-dataset-86 = Gei
|
||||
names-reptilian-male-dataset-87 = Gih
|
||||
names-reptilian-male-dataset-88 = Gin
|
||||
names-reptilian-male-dataset-89 = Goh
|
||||
names-reptilian-male-dataset-90 = Gulum
|
||||
names-reptilian-male-dataset-91 = Haj
|
||||
names-reptilian-male-dataset-92 = Han
|
||||
names-reptilian-male-dataset-93 = Haran
|
||||
names-reptilian-male-dataset-94 = Hareeya
|
||||
names-reptilian-male-dataset-95 = Hathei
|
||||
names-reptilian-male-dataset-96 = Heedul
|
||||
names-reptilian-male-dataset-97 = Heem
|
||||
names-reptilian-male-dataset-98 = Hei
|
||||
names-reptilian-male-dataset-99 = Heir
|
||||
names-reptilian-male-dataset-100 = Hixeeh
|
||||
names-reptilian-male-dataset-101 = Huleeya
|
||||
names-reptilian-male-dataset-102 = Huzei
|
||||
names-reptilian-male-dataset-103 = Ilas
|
||||
names-reptilian-male-dataset-104 = Im
|
||||
names-reptilian-male-dataset-105 = Inee
|
||||
names-reptilian-male-dataset-106 = Itan
|
||||
names-reptilian-male-dataset-107 = J'Ram
|
||||
names-reptilian-male-dataset-108 = Ja
|
||||
names-reptilian-male-dataset-109 = Jah
|
||||
names-reptilian-male-dataset-110 = Jaraleet
|
||||
names-reptilian-male-dataset-111 = Jaree
|
||||
names-reptilian-male-dataset-112 = Jas
|
||||
names-reptilian-male-dataset-113 = Jasaiin
|
||||
names-reptilian-male-dataset-114 = Jaseen
|
||||
names-reptilian-male-dataset-115 = Jat
|
||||
names-reptilian-male-dataset-116 = Jee
|
||||
names-reptilian-male-dataset-117 = Jeela
|
||||
names-reptilian-male-dataset-118 = Jeelius
|
||||
names-reptilian-male-dataset-119 = Jeelus
|
||||
names-reptilian-male-dataset-120 = Jeen
|
||||
names-reptilian-male-dataset-121 = Jeer
|
||||
names-reptilian-male-dataset-122 = Jeetum
|
||||
names-reptilian-male-dataset-123 = Jei
|
||||
names-reptilian-male-dataset-124 = Jilux
|
||||
names-reptilian-male-dataset-125 = Jin
|
||||
names-reptilian-male-dataset-126 = Jon
|
||||
names-reptilian-male-dataset-127 = Jul
|
||||
names-reptilian-male-dataset-128 = Julan
|
||||
names-reptilian-male-dataset-129 = Junal
|
||||
names-reptilian-male-dataset-130 = Jush
|
||||
names-reptilian-male-dataset-131 = Juunei
|
||||
names-reptilian-male-dataset-132 = Kai
|
||||
names-reptilian-male-dataset-133 = Kajin
|
||||
names-reptilian-male-dataset-134 = Kamax
|
||||
names-reptilian-male-dataset-135 = Kas
|
||||
names-reptilian-male-dataset-136 = Keema
|
||||
names-reptilian-male-dataset-137 = Keer
|
||||
names-reptilian-male-dataset-138 = Keerasa
|
||||
names-reptilian-male-dataset-139 = Kepanuu
|
||||
names-reptilian-male-dataset-140 = Kia
|
||||
names-reptilian-male-dataset-141 = Kiameed
|
||||
names-reptilian-male-dataset-142 = Kilaya
|
||||
names-reptilian-male-dataset-143 = Kiurz
|
||||
names-reptilian-male-dataset-144 = Kur
|
||||
names-reptilian-male-dataset-145 = Kuz
|
||||
names-reptilian-male-dataset-146 = La
|
||||
names-reptilian-male-dataset-147 = Lah
|
||||
names-reptilian-male-dataset-148 = Lai
|
||||
names-reptilian-male-dataset-149 = Lan
|
||||
names-reptilian-male-dataset-150 = Lara
|
||||
names-reptilian-male-dataset-151 = Leem
|
||||
names-reptilian-male-dataset-152 = Lei
|
||||
names-reptilian-male-dataset-153 = Loh
|
||||
names-reptilian-male-dataset-154 = Lotash
|
||||
names-reptilian-male-dataset-155 = Luh
|
||||
names-reptilian-male-dataset-156 = Lurz
|
||||
names-reptilian-male-dataset-157 = Luteema
|
||||
names-reptilian-male-dataset-158 = Maahi
|
||||
names-reptilian-male-dataset-159 = Madesi
|
||||
names-reptilian-male-dataset-160 = Maheelius
|
||||
names-reptilian-male-dataset-161 = Mahei
|
||||
names-reptilian-male-dataset-162 = Maht
|
||||
names-reptilian-male-dataset-163 = Malz
|
||||
names-reptilian-male-dataset-164 = Marz
|
||||
names-reptilian-male-dataset-165 = Mathei
|
||||
names-reptilian-male-dataset-166 = Maxath
|
||||
names-reptilian-male-dataset-167 = Meej
|
||||
names-reptilian-male-dataset-168 = Meejapa
|
||||
names-reptilian-male-dataset-169 = Meensuda
|
||||
names-reptilian-male-dataset-170 = Meer
|
||||
names-reptilian-male-dataset-171 = Mema
|
||||
names-reptilian-male-dataset-172 = Mere
|
||||
names-reptilian-male-dataset-173 = Metaku
|
||||
names-reptilian-male-dataset-174 = Miharil
|
||||
names-reptilian-male-dataset-175 = Milos
|
||||
names-reptilian-male-dataset-176 = Miun
|
||||
names-reptilian-male-dataset-177 = Mobareed
|
||||
names-reptilian-male-dataset-178 = Mohimeem
|
||||
names-reptilian-male-dataset-179 = Mopakuz
|
||||
names-reptilian-male-dataset-180 = Motuu
|
||||
names-reptilian-male-dataset-181 = Mujeen
|
||||
names-reptilian-male-dataset-182 = Muranatepa
|
||||
names-reptilian-male-dataset-183 = Mush
|
||||
names-reptilian-male-dataset-184 = Muz
|
||||
names-reptilian-male-dataset-185 = Na
|
||||
names-reptilian-male-dataset-186 = Napetui
|
||||
names-reptilian-male-dataset-187 = Nazuux
|
||||
names-reptilian-male-dataset-188 = Nebutil
|
||||
names-reptilian-male-dataset-189 = Neeti
|
||||
names-reptilian-male-dataset-190 = Neetinei
|
||||
names-reptilian-male-dataset-191 = Neetrenaza
|
||||
names-reptilian-male-dataset-192 = Neetzara
|
||||
names-reptilian-male-dataset-193 = Neeus
|
||||
names-reptilian-male-dataset-194 = Nema
|
||||
names-reptilian-male-dataset-195 = Neposh
|
||||
names-reptilian-male-dataset-196 = Netapatuu
|
||||
names-reptilian-male-dataset-197 = Nexith
|
||||
names-reptilian-male-dataset-198 = Nodeeus
|
||||
names-reptilian-male-dataset-199 = Nomu
|
||||
names-reptilian-male-dataset-200 = Nosaleeth
|
||||
names-reptilian-male-dataset-201 = Nowajeem
|
||||
names-reptilian-male-dataset-202 = Noyei
|
||||
names-reptilian-male-dataset-203 = Nulaz
|
||||
names-reptilian-male-dataset-204 = Nur
|
||||
names-reptilian-male-dataset-205 = Obaxith
|
||||
names-reptilian-male-dataset-206 = Okan
|
||||
names-reptilian-male-dataset-207 = Okaw
|
||||
names-reptilian-male-dataset-208 = Okeeh
|
||||
names-reptilian-male-dataset-209 = Oleed
|
||||
names-reptilian-male-dataset-210 = Oleen
|
||||
names-reptilian-male-dataset-211 = Olik
|
||||
names-reptilian-male-dataset-212 = Olink
|
||||
names-reptilian-male-dataset-213 = Onuja
|
||||
names-reptilian-male-dataset-214 = Onurai
|
||||
names-reptilian-male-dataset-215 = Opatieel
|
||||
names-reptilian-male-dataset-216 = Otumeel
|
||||
names-reptilian-male-dataset-217 = Owai
|
||||
names-reptilian-male-dataset-218 = Pachat
|
||||
names-reptilian-male-dataset-219 = Pacheeva
|
||||
names-reptilian-male-dataset-220 = Pad
|
||||
names-reptilian-male-dataset-221 = Paduxi
|
||||
names-reptilian-male-dataset-222 = Pajeen
|
||||
names-reptilian-male-dataset-223 = Parash
|
||||
names-reptilian-male-dataset-224 = Peeradeeh
|
||||
names-reptilian-male-dataset-225 = Pejureel
|
||||
names-reptilian-male-dataset-226 = Petaxai
|
||||
names-reptilian-male-dataset-227 = Pideelus
|
||||
names-reptilian-male-dataset-228 = Pimaxi
|
||||
names-reptilian-male-dataset-229 = Pojeel
|
||||
names-reptilian-male-dataset-230 = Ra
|
||||
names-reptilian-male-dataset-231 = Radithax
|
||||
names-reptilian-male-dataset-232 = Raj
|
||||
names-reptilian-male-dataset-233 = Rareel
|
||||
names-reptilian-male-dataset-234 = Rasha
|
||||
names-reptilian-male-dataset-235 = Redieeus
|
||||
names-reptilian-male-dataset-236 = Ree
|
||||
names-reptilian-male-dataset-237 = Reeh
|
||||
names-reptilian-male-dataset-238 = Reemukeeus
|
||||
names-reptilian-male-dataset-239 = Reenum
|
||||
names-reptilian-male-dataset-240 = Reesa
|
||||
names-reptilian-male-dataset-241 = Reet
|
||||
names-reptilian-male-dataset-242 = Reezal
|
||||
names-reptilian-male-dataset-243 = Resari
|
||||
names-reptilian-male-dataset-244 = Riker
|
||||
names-reptilian-male-dataset-245 = Ru
|
||||
names-reptilian-male-dataset-246 = Rupah
|
||||
names-reptilian-male-dataset-247 = Sakeepa
|
||||
names-reptilian-male-dataset-248 = Sakeeus
|
||||
names-reptilian-male-dataset-249 = Sakka
|
||||
names-reptilian-male-dataset-250 = Saliith
|
||||
names-reptilian-male-dataset-251 = Sar
|
||||
names-reptilian-male-dataset-252 = Schiavas
|
||||
names-reptilian-male-dataset-253 = Seek
|
||||
names-reptilian-male-dataset-254 = Seewul
|
||||
names-reptilian-male-dataset-255 = Sei
|
||||
names-reptilian-male-dataset-256 = Sejaijilax
|
||||
names-reptilian-male-dataset-257 = Shakiis
|
||||
names-reptilian-male-dataset-258 = Shehs
|
||||
names-reptilian-male-dataset-259 = Shei
|
||||
names-reptilian-male-dataset-260 = Silm
|
||||
names-reptilian-male-dataset-261 = Skee
|
||||
names-reptilian-male-dataset-262 = Skeetul
|
||||
names-reptilian-male-dataset-263 = Sureeus
|
||||
names-reptilian-male-dataset-264 = Ta
|
||||
names-reptilian-male-dataset-265 = Taeed
|
||||
names-reptilian-male-dataset-266 = Tah
|
||||
names-reptilian-male-dataset-267 = Taleel
|
||||
names-reptilian-male-dataset-268 = Talen
|
||||
names-reptilian-male-dataset-269 = Tan
|
||||
names-reptilian-male-dataset-270 = Tanaka
|
||||
names-reptilian-male-dataset-271 = Tanan
|
||||
names-reptilian-male-dataset-272 = Tee
|
||||
names-reptilian-male-dataset-273 = Teeba
|
||||
names-reptilian-male-dataset-274 = Teegla
|
||||
names-reptilian-male-dataset-275 = Teeka
|
||||
names-reptilian-male-dataset-276 = Teekeeus
|
||||
names-reptilian-male-dataset-277 = Teemeeta
|
||||
names-reptilian-male-dataset-278 = Teeus
|
||||
names-reptilian-male-dataset-279 = Tehat
|
||||
names-reptilian-male-dataset-280 = Tei
|
||||
names-reptilian-male-dataset-281 = Teinaava
|
||||
names-reptilian-male-dataset-282 = Teineeja
|
||||
names-reptilian-male-dataset-283 = Terezeeus
|
||||
names-reptilian-male-dataset-284 = Tikaasi
|
||||
names-reptilian-male-dataset-285 = Tim
|
||||
names-reptilian-male-dataset-286 = Topeeth
|
||||
names-reptilian-male-dataset-287 = Topith
|
||||
names-reptilian-male-dataset-288 = Tsleeixth
|
||||
names-reptilian-male-dataset-289 = Tul
|
||||
names-reptilian-male-dataset-290 = Tulm
|
||||
names-reptilian-male-dataset-291 = Tun
|
||||
names-reptilian-male-dataset-292 = Ukatsei
|
||||
names-reptilian-male-dataset-293 = Ukawei
|
||||
names-reptilian-male-dataset-294 = Ula
|
||||
names-reptilian-male-dataset-295 = Ulawa
|
||||
names-reptilian-male-dataset-296 = Ullis
|
||||
names-reptilian-male-dataset-297 = Usha
|
||||
names-reptilian-male-dataset-298 = Usheeja
|
||||
names-reptilian-male-dataset-299 = Utadeek
|
||||
names-reptilian-male-dataset-300 = Utamukeeus
|
||||
names-reptilian-male-dataset-301 = Utatul
|
||||
names-reptilian-male-dataset-302 = Uxith
|
||||
names-reptilian-male-dataset-303 = Vara
|
||||
names-reptilian-male-dataset-304 = Veekas
|
||||
names-reptilian-male-dataset-305 = Veenaza
|
||||
names-reptilian-male-dataset-306 = Veezara
|
||||
names-reptilian-male-dataset-307 = Vistha
|
||||
names-reptilian-male-dataset-308 = Vudeelal
|
||||
names-reptilian-male-dataset-309 = Wanan
|
||||
names-reptilian-male-dataset-310 = Wanum
|
||||
names-reptilian-male-dataset-311 = Wayiteh
|
||||
names-reptilian-male-dataset-312 = Weebam
|
||||
names-reptilian-male-dataset-313 = Weeltul
|
||||
names-reptilian-male-dataset-314 = Weer
|
||||
names-reptilian-male-dataset-315 = Wih
|
||||
names-reptilian-male-dataset-316 = Wud
|
||||
names-reptilian-male-dataset-317 = Wuleen
|
||||
names-reptilian-male-dataset-318 = Wulm
|
||||
names-reptilian-male-dataset-319 = Wumeek
|
||||
names-reptilian-male-dataset-320 = Xal
|
||||
names-reptilian-male-dataset-321 = Xemo
|
||||
names-reptilian-male-dataset-322 = Yinz
|
||||
names-reptilian-male-dataset-323 = Yinz'r
|
||||
names-reptilian-male-dataset-324 = Zaw
|
||||
names-reptilian-male-dataset-325 = Ze
|
||||
names-reptilian-male-dataset-326 = Zeen
|
||||
names-reptilian-male-dataset-327 = Zeeus
|
||||
names-reptilian-male-dataset-328 = Zish
|
||||
27
Resources/Locale/en-US/datasets/names/skeleton_first.ftl
Normal file
27
Resources/Locale/en-US/datasets/names/skeleton_first.ftl
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@@ -0,0 +1,27 @@
|
||||
names-skeleton-first-dataset-1 = Sternum
|
||||
names-skeleton-first-dataset-2 = Ribs
|
||||
names-skeleton-first-dataset-3 = Vertebrae
|
||||
names-skeleton-first-dataset-4 = Sacrum
|
||||
names-skeleton-first-dataset-5 = Mandible
|
||||
names-skeleton-first-dataset-6 = Clavicle
|
||||
names-skeleton-first-dataset-7 = Scapula
|
||||
names-skeleton-first-dataset-8 = Humerus
|
||||
names-skeleton-first-dataset-9 = Radius
|
||||
names-skeleton-first-dataset-10 = Ulna
|
||||
names-skeleton-first-dataset-11 = Carpals
|
||||
names-skeleton-first-dataset-12 = Phalanges
|
||||
names-skeleton-first-dataset-13 = Pelvis
|
||||
names-skeleton-first-dataset-14 = Femur
|
||||
names-skeleton-first-dataset-15 = Tibia
|
||||
names-skeleton-first-dataset-16 = Fibula
|
||||
names-skeleton-first-dataset-17 = Marrow
|
||||
names-skeleton-first-dataset-18 = Tarsals
|
||||
names-skeleton-first-dataset-19 = Patella
|
||||
names-skeleton-first-dataset-20 = Tailbone
|
||||
names-skeleton-first-dataset-21 = Boner
|
||||
names-skeleton-first-dataset-22 = Rib
|
||||
names-skeleton-first-dataset-23 = Hyoid
|
||||
names-skeleton-first-dataset-24 = Coccyx
|
||||
names-skeleton-first-dataset-25 = Tarsus
|
||||
names-skeleton-first-dataset-26 = Lacrimal
|
||||
names-skeleton-first-dataset-27 = Bone
|
||||
@@ -1,222 +1,11 @@
|
||||
- type: dataset
|
||||
id: DionaFirst
|
||||
- type: localizedDataset
|
||||
id: NamesDionaFirst
|
||||
values:
|
||||
- Moss
|
||||
- Mushroom
|
||||
- Herb
|
||||
- Ivy
|
||||
- Stalk
|
||||
- Petal
|
||||
- Petals
|
||||
- Thorn
|
||||
- Thorns
|
||||
- Vine
|
||||
- Vines
|
||||
- Branch
|
||||
- Branches
|
||||
- Weed
|
||||
- Weeds
|
||||
- Rose
|
||||
- Dandelion
|
||||
- Lilac
|
||||
- Lily
|
||||
- Birch
|
||||
- Oak
|
||||
- Spruce
|
||||
- Willow
|
||||
- Cyprus
|
||||
- Mangrove
|
||||
- Stump
|
||||
- Sap
|
||||
- Bayou
|
||||
- Bay
|
||||
- Lake
|
||||
- River
|
||||
- Creek
|
||||
- Meadow
|
||||
- Canyon
|
||||
- Mountain
|
||||
- Peak
|
||||
- Garden
|
||||
- Ocean
|
||||
- Arctic
|
||||
- Sea
|
||||
- Spring
|
||||
- Swamp
|
||||
- Stream
|
||||
- Forest
|
||||
- Rainforest
|
||||
- Soil
|
||||
- Valley
|
||||
- Moor
|
||||
- Steppe
|
||||
- Orchard
|
||||
- Orchid
|
||||
- Glacier
|
||||
- Desert
|
||||
- Tundra
|
||||
- Taiga
|
||||
- Plain
|
||||
- Plains
|
||||
- Plateau
|
||||
- Cliff
|
||||
- Coast
|
||||
- Shore
|
||||
- Jungle
|
||||
- Tropics
|
||||
- Flower
|
||||
- Grass
|
||||
- Bark
|
||||
- Autumn
|
||||
- Summer
|
||||
- Winter
|
||||
- Fruit
|
||||
- Leaves
|
||||
- Overgrowth
|
||||
- Atmosphere
|
||||
- Climate
|
||||
- Chill
|
||||
- Winds
|
||||
- Blossom
|
||||
- Bloom
|
||||
- Cap
|
||||
- Saturation
|
||||
- Permeation
|
||||
- Light
|
||||
- Taste
|
||||
- Acorn
|
||||
- Shell
|
||||
- Ice
|
||||
- Monsoon
|
||||
- Overcast
|
||||
- Storm
|
||||
prefix: names-diona-first-dataset-
|
||||
count: 89
|
||||
|
||||
- type: dataset
|
||||
id: DionaLast
|
||||
- type: localizedDataset
|
||||
id: NamesDionaLast
|
||||
values:
|
||||
# Positive
|
||||
- Peace
|
||||
- Harmony
|
||||
- Relaxation
|
||||
- Serendipity
|
||||
- Calmness
|
||||
- Introspection
|
||||
- Union
|
||||
- Comfort
|
||||
- Dreams
|
||||
- Quietude
|
||||
- Balance
|
||||
- Gentleness
|
||||
- Placidity
|
||||
- Repose
|
||||
- Serenity
|
||||
- Stillness
|
||||
- Tranquility
|
||||
- Ease
|
||||
- Equilibrium
|
||||
- Composure
|
||||
- Control
|
||||
- Bliss
|
||||
- Enjoyment
|
||||
- Optimism
|
||||
- Ecstasy
|
||||
- Cheer
|
||||
- Delight
|
||||
- Luxury
|
||||
- Euphoria
|
||||
- Excitement
|
||||
- Satisfaction
|
||||
- Cleanliness
|
||||
- Expression
|
||||
- Enrichment
|
||||
- Enthusiam
|
||||
- Brilliance
|
||||
- Determination
|
||||
- Integrity
|
||||
- Justice
|
||||
- Kindness
|
||||
- Bravery
|
||||
- Empathy
|
||||
- Stoicism
|
||||
- Competence
|
||||
- Love
|
||||
- Hope
|
||||
- Honesty
|
||||
- Generosity
|
||||
- Oppritunity
|
||||
- Motivation
|
||||
# Neutral
|
||||
- Urgency
|
||||
- Vitality
|
||||
- Hardiness
|
||||
- Vigor
|
||||
- Agility
|
||||
- Dexterity
|
||||
- Perception
|
||||
- Wisdom
|
||||
- Charisma
|
||||
- Persistence
|
||||
- Perseverance
|
||||
- Density
|
||||
- Strength
|
||||
- Congestion
|
||||
- Concentration
|
||||
- Intensity
|
||||
- Refinement
|
||||
- Obscurity
|
||||
- Fortitude
|
||||
- Endurance
|
||||
- Patience
|
||||
- Passivity
|
||||
- Indifference
|
||||
- Sleepiness
|
||||
- Neutrality
|
||||
- Fairness
|
||||
- Silliness
|
||||
- Restraint
|
||||
- Silence
|
||||
- Bewilderment
|
||||
- Tactility
|
||||
- Invisibility
|
||||
- Darkness
|
||||
- Fragility
|
||||
- Action
|
||||
- Awakening
|
||||
- Activity
|
||||
- Audacity
|
||||
- Vivacity
|
||||
- Knowledge
|
||||
- Modification
|
||||
# Negative
|
||||
# These should be something a diona would still realistically name themselves, i.e not inherintly self deprecating.
|
||||
- Envy
|
||||
- Ineptitude
|
||||
- Ignorance
|
||||
- Decay
|
||||
- Lethargy
|
||||
- Bitterness
|
||||
- Acidity
|
||||
- Illness
|
||||
- Weakness
|
||||
- Enervation
|
||||
- Fatigue
|
||||
- Noxiousness
|
||||
- Convolution
|
||||
- Confusion
|
||||
- Agitation
|
||||
- Despair
|
||||
- Sorrow
|
||||
- Pain
|
||||
- Animosity
|
||||
- Fury
|
||||
- Disinterest
|
||||
- Anger
|
||||
- Rage
|
||||
- Displeasure
|
||||
- Irritation
|
||||
- Resentment
|
||||
- Soreness
|
||||
- Frustration
|
||||
- Insanity
|
||||
- Chaos
|
||||
- Fear
|
||||
prefix: names-diona-last-dataset-
|
||||
count: 122
|
||||
|
||||
17
Resources/Prototypes/Datasets/Names/moth.yml
Normal file
17
Resources/Prototypes/Datasets/Names/moth.yml
Normal file
@@ -0,0 +1,17 @@
|
||||
- type: localizedDataset
|
||||
id: NamesMothFirstMale
|
||||
values:
|
||||
prefix: names-moth-first-male-dataset-
|
||||
count: 39
|
||||
|
||||
- type: localizedDataset
|
||||
id: NamesMothFirstFemale
|
||||
values:
|
||||
prefix: names-moth-first-female-dataset-
|
||||
count: 38
|
||||
|
||||
- type: localizedDataset
|
||||
id: NamesMothLast
|
||||
values:
|
||||
prefix: names-moth-last-dataset-
|
||||
count: 28
|
||||
@@ -1,49 +0,0 @@
|
||||
- type: dataset
|
||||
id: names_moth_first_female
|
||||
values:
|
||||
- Atropos # Acherontia atropos
|
||||
- Betularia # Biston betularia
|
||||
- Daphne # Daphnis
|
||||
- Eurypta # Eurypteryx
|
||||
- Eudryas # Eudryas
|
||||
- Iris # Salassa iris
|
||||
- Lachesis # Acherontia lachesis
|
||||
- Luna # Actias luna
|
||||
- Lymanzia # Lymantria
|
||||
- Maple # Dryocampa rubicunda, "Rosy Maple"
|
||||
- Mima # Mimas
|
||||
- Nephele # Nephele
|
||||
- Rosie # Dryocampa rubicunda
|
||||
- Scarlet # Cosmosoma myrodora, "Scarlet-bodied wasp moth"
|
||||
- Styx # Acherontia styx
|
||||
|
||||
# Other languages
|
||||
- Avelaina # Galician "moth" (avelaíña)
|
||||
- Falena # Italian "winter moth"
|
||||
- Menodora # Greek "moon gift"
|
||||
- Molie # Romanian "moth"
|
||||
- Polilla # Spanish "moth"
|
||||
|
||||
# Myth and legend
|
||||
- Althea # Greek mythological figure
|
||||
- Aurora # Roman goddess of the dawn
|
||||
- Helle # Greek mythological figure
|
||||
- Selene # Greek goddess of the moon
|
||||
- Nyx # Greek goddess of the night
|
||||
|
||||
# Fun names
|
||||
- Angel
|
||||
- Sandy
|
||||
- Liberty
|
||||
|
||||
# Common names, filler
|
||||
- Beatrix
|
||||
- Daisy
|
||||
- Dawn
|
||||
- Elizabeth
|
||||
- Lucy
|
||||
- Ruby
|
||||
- Sarah
|
||||
- Sienna
|
||||
- Willow
|
||||
- Zoey
|
||||
@@ -1,50 +0,0 @@
|
||||
- type: dataset
|
||||
id: names_moth_first_male
|
||||
values:
|
||||
- Agrius # Agrius
|
||||
- Atlas # Attacus atlas
|
||||
- Attacus # Attacus
|
||||
- Caesar # Attacus caesar
|
||||
- Hercules # Coscinocera hercules
|
||||
- Rannoch # Itame brunneata, "Rannoch Looper"
|
||||
- Socrates # Acosmeryx socrates
|
||||
- Solus # Saturniidae solus
|
||||
|
||||
# Other languages
|
||||
- Ash # Hebrew עש "moth"
|
||||
- Azar # Persian "fire"
|
||||
- Kaiser # German "emperor" descendant of the Latin caesar
|
||||
- Rex # Latin "king"
|
||||
- Rajas # Sanskrit "darkness" or "dust"
|
||||
- Skoros # Greek "clothes moth"
|
||||
|
||||
# Myth and legend
|
||||
- Bladud # legendary king of the Britons who crafted wings and died in his attempt at flight
|
||||
- Daedalus # father of Icarus
|
||||
- Erebus # Greek primordial deity of darkness
|
||||
- Icarus # the classic
|
||||
- Jatayu # Hindu figure, similar to Icarus
|
||||
- Koho # Japanese reading of 夸父（こほ）
|
||||
- Kuafu # Chinese giant 夸父, similar to Icarus
|
||||
- Lucifer # more commonly-known fall-from-heaven figure
|
||||
- Merlin # Arthurian wizard
|
||||
- Phaethon # another Greek figure, similar to Icarus
|
||||
- Wolford # rendering of Bladud from the Welsh blaidd "wolf" + iudd "lord"
|
||||
|
||||
# Fun names
|
||||
- Ace
|
||||
- Altair
|
||||
- Dusty
|
||||
- Gambit
|
||||
- Hawk
|
||||
- Mothew
|
||||
- Timothy
|
||||
|
||||
# Common names, filler
|
||||
- Asher
|
||||
- Isaac
|
||||
- Roman
|
||||
- Samuel
|
||||
- Sebastian
|
||||
- Silas
|
||||
- Simon
|
||||
@@ -1,37 +0,0 @@
|
||||
- type: dataset
|
||||
id: names_moth_last
|
||||
values:
|
||||
- Blackwitch # Ascalapha odorata
|
||||
- Deathshead # refers to any of the 3 Acherontia
|
||||
- Emperor # Saturniinae
|
||||
- Scorchedwing # Plagodis dolabraria
|
||||
- Temnora # Temnora
|
||||
- Usta # Usta
|
||||
- Whitewitch # Thysania agrippina
|
||||
- Winter # Operophtera brumata
|
||||
|
||||
# Other languages
|
||||
- Epiolos # Ancient Greek "moth"
|
||||
- Moeller # conceivably any Old Norse descendant of mǫlr but probably more Danish than anything. "oe" digraph for ø.
|
||||
- Nightflitter # literal pseudo-translation of German Nachtfalter
|
||||
|
||||
# Myth and legend
|
||||
- Herald # belief of moths flying at night signalling the reception of a letter
|
||||
- Leander # Greek figure associated with Hero, and similar sounding to Oleander hawk-moth
|
||||
- Mothman # split between being a myth reference and actual possible surname given the actual Goodman, Hoffman, Newman, Coleman, etc.
|
||||
|
||||
# Fun names
|
||||
- Cometrider
|
||||
- Eventide
|
||||
- Firefly
|
||||
- Firebrush
|
||||
- Flamecoat
|
||||
- Lightweaver
|
||||
- Moondancer
|
||||
- Nightwish
|
||||
- Nighteyes
|
||||
- Owlbane
|
||||
- Silktongue
|
||||
- Sparkdrawn
|
||||
- Stargazer
|
||||
- Starseeker
|
||||
@@ -1,57 +1,5 @@
|
||||
- type: dataset
|
||||
id: names_mushman_first
|
||||
- type: localizedDataset
|
||||
id: NamesMushmanFirst
|
||||
values:
|
||||
- Pleurocybella
|
||||
- Geastrum
|
||||
- Tricholoma
|
||||
- Ganoderma
|
||||
- Galerina
|
||||
- Fistulina
|
||||
- Gyromitra
|
||||
- Leccinum
|
||||
- Crucilulum
|
||||
- Craterellus
|
||||
- Geoglossum
|
||||
- Helvella
|
||||
- Exidia
|
||||
- Clitocybe
|
||||
- Psilocybe
|
||||
- Panaeolus
|
||||
- Amanita
|
||||
- Paxillus
|
||||
- Spheaerobolus
|
||||
- Sparassis
|
||||
- Lepiota
|
||||
- Leotia
|
||||
- Clavariadelphus
|
||||
- Annulohypoxylon
|
||||
- Pisolitus
|
||||
- Pluteus
|
||||
- Flammulina
|
||||
- Marasmius
|
||||
- Clavaria
|
||||
- Stereum
|
||||
- Cortinarius
|
||||
- Lyophyllum
|
||||
- Hydnum
|
||||
- Poria
|
||||
- Armillaria
|
||||
- Hypsizygus
|
||||
- Agaricus
|
||||
- Omphalotus
|
||||
- Boletus
|
||||
- Boletopsis
|
||||
- Gymnopilus
|
||||
- Hericium
|
||||
- Grifola
|
||||
- Morchella
|
||||
- Clathrus
|
||||
- Pleurotus
|
||||
- Discina
|
||||
- Chalciporus
|
||||
- Calvatia
|
||||
- Caulorhiza
|
||||
- Tremella
|
||||
- Volvariella
|
||||
- Hypholoma
|
||||
- Lactarius
|
||||
prefix: names-mushman-first-dataset-
|
||||
count: 54
|
||||
|
||||
@@ -1,100 +1,5 @@
|
||||
- type: dataset
|
||||
id: names_mushman_last
|
||||
- type: localizedDataset
|
||||
id: NamesMushmanLast
|
||||
values:
|
||||
- Porrigens
|
||||
- Deceptiva
|
||||
- Fornicatum
|
||||
- Magnivelare
|
||||
- Applanatum
|
||||
- Marginata
|
||||
- Abietis
|
||||
- Hepatica
|
||||
- Esculenta
|
||||
- Scabrum
|
||||
- Laeve
|
||||
- Cornucopioides
|
||||
- Fallax
|
||||
- Lacunosa
|
||||
- Glandulosa
|
||||
- Caerulipes
|
||||
- Cyanescens
|
||||
- Novinupta
|
||||
- Involutus
|
||||
- Bisporus
|
||||
- Rubidus
|
||||
- Stellatus
|
||||
- Crispa
|
||||
- Campestris
|
||||
- Castenea
|
||||
- Viscosa
|
||||
- Occidentalis
|
||||
- Lanei
|
||||
- Thouarsianum
|
||||
- Brunneoincarnata
|
||||
- Josserandi
|
||||
- Tinctorius
|
||||
- Phalloides
|
||||
- Cervinus
|
||||
- Ocreata
|
||||
- Subjunquillea
|
||||
- Velutipes
|
||||
- Virosa
|
||||
- Oreades
|
||||
- Vermicularis
|
||||
- Rivulosa
|
||||
- Hirsutum
|
||||
- Verna
|
||||
- Orellanus
|
||||
- Decastes
|
||||
- Tubaeformis
|
||||
- Constricta
|
||||
- Exitialis
|
||||
- Caperatus
|
||||
- Umbilicatum
|
||||
- Cocos
|
||||
- Mellea
|
||||
- Tessulatus
|
||||
- Arvensis
|
||||
- Dealbata
|
||||
- Olearius
|
||||
- Edulis
|
||||
- Baeocystis
|
||||
- Leucomelaena
|
||||
- Caerulescens
|
||||
- Junonius
|
||||
- Erinaceum
|
||||
- Aeruginosus
|
||||
- Frondosa
|
||||
- Elata
|
||||
- Archeri
|
||||
- Tropicalis
|
||||
- Pantherina
|
||||
- Piperaturs
|
||||
- Perlata
|
||||
- Orcharaceus
|
||||
- Augustus
|
||||
- Subsculpta
|
||||
- Cyathiformis
|
||||
- Regineus
|
||||
- Erubescens
|
||||
- Rubripes
|
||||
- Umbonata
|
||||
- Lucidium
|
||||
- Eastwoodiae
|
||||
- Sculpta
|
||||
- Edodes
|
||||
- Fuciformis
|
||||
- Velosa
|
||||
- Rex-ceris
|
||||
- Volvacea
|
||||
- Fasciculare
|
||||
- Bitorquis
|
||||
- Flaviporus
|
||||
- Pachycolea
|
||||
- Subaldidus
|
||||
- Rugosoannulata
|
||||
- Subrutilescens
|
||||
- Nuda
|
||||
- Torminosus
|
||||
- Equestre
|
||||
- Xanthodermus
|
||||
prefix: names-mushman-last-dataset-
|
||||
count: 97
|
||||
|
||||
@@ -1,166 +1,5 @@
|
||||
- type: dataset
|
||||
id: names_reptilian_female
|
||||
- type: localizedDataset
|
||||
id: NamesReptilianFemale
|
||||
values:
|
||||
- Adzi
|
||||
- Ah
|
||||
- Ahaht
|
||||
- Ajim
|
||||
- Akeenus
|
||||
- Akish
|
||||
- Akishan
|
||||
- Aleeto
|
||||
- Am
|
||||
- Amussa
|
||||
- An
|
||||
- Anozz
|
||||
- Asheemar
|
||||
- Asska
|
||||
- Awas
|
||||
- Azala
|
||||
- Azbai
|
||||
- Azeez
|
||||
- Azum
|
||||
- Banalz
|
||||
- Bar
|
||||
- Baseenar
|
||||
- Beek
|
||||
- Beekatan
|
||||
- Beekus
|
||||
- Beela
|
||||
- Beelei
|
||||
- Beem
|
||||
- Beewos
|
||||
- Bejeen
|
||||
- Ber
|
||||
- Betzi
|
||||
- Bishalus
|
||||
- Bokeeus
|
||||
- Bur
|
||||
- Bura
|
||||
- Chalaree
|
||||
- Chana
|
||||
- Chanil
|
||||
- Chee
|
||||
- Cheesh
|
||||
- Chimatei
|
||||
- Chirurgeon
|
||||
- Cholasistu
|
||||
- Chuna
|
||||
- Churasu
|
||||
- Crath
|
||||
- Dar
|
||||
- Deeja
|
||||
- Deesei
|
||||
- Deesh
|
||||
- Deetsan
|
||||
- Deetwos
|
||||
- Dooka
|
||||
- Druja
|
||||
- Eepa
|
||||
- Ei
|
||||
- Eix
|
||||
- El
|
||||
- Ereel
|
||||
- Eutei
|
||||
- Gai
|
||||
- Gih
|
||||
- Gilm
|
||||
- Gish
|
||||
- Go
|
||||
- Hal
|
||||
- Hul
|
||||
- Ja
|
||||
- Jaseen
|
||||
- Jasuda
|
||||
- Jeed
|
||||
- Jeen
|
||||
- Kajul
|
||||
- Kal
|
||||
- Kasa
|
||||
- Keel
|
||||
- Keerava
|
||||
- Kiurz
|
||||
- Kud
|
||||
- La
|
||||
- Lee
|
||||
- Lei
|
||||
- Lifts
|
||||
- Liurz
|
||||
- Lurasha
|
||||
- Ma
|
||||
- Mach
|
||||
- Marz
|
||||
- Meedish
|
||||
- Meeh
|
||||
- Meema
|
||||
- Meen
|
||||
- Meena
|
||||
- Meenus
|
||||
- Meerana
|
||||
- Meesei
|
||||
- Meeus
|
||||
- Mei
|
||||
- Milah
|
||||
- Mim
|
||||
- Mota
|
||||
- Mudeska
|
||||
- Muz
|
||||
- Na
|
||||
- Nakuma
|
||||
- Nam
|
||||
- Nassa
|
||||
- Natoo
|
||||
- Neesha
|
||||
- Neetizei
|
||||
- Neetra
|
||||
- Neeus
|
||||
- Niima
|
||||
- Numeen
|
||||
- Nuralg
|
||||
- Nush
|
||||
- Ocheeva
|
||||
- Okur
|
||||
- Olank
|
||||
- On
|
||||
- Onasha
|
||||
- Osheeka
|
||||
- Pasha
|
||||
- Ra
|
||||
- Rana
|
||||
- Raniur
|
||||
- Ree
|
||||
- Reesa
|
||||
- Rei
|
||||
- Sa
|
||||
- Saak
|
||||
- Sanax
|
||||
- Seeba
|
||||
- Seed
|
||||
- Seen
|
||||
- Shah
|
||||
- Shahvee
|
||||
- Shaleez
|
||||
- Shatalg
|
||||
- Sheer
|
||||
- Shei
|
||||
- Sigerthe
|
||||
- Skaleel
|
||||
- Sudie
|
||||
- Tail
|
||||
- Tar
|
||||
- Tasha
|
||||
- Tei
|
||||
- Telixith
|
||||
- Tumma
|
||||
- Veek
|
||||
- Wan
|
||||
- Wazei
|
||||
- Weedum
|
||||
- Weewish
|
||||
- Witseidutsei
|
||||
- Wuja
|
||||
- Wujeeta
|
||||
- Wusha
|
||||
- Xil
|
||||
- Zish
|
||||
- Zollassa
|
||||
prefix: names-reptilian-female-dataset-
|
||||
count: 163
|
||||
|
||||
@@ -1,331 +1,5 @@
|
||||
- type: dataset
|
||||
id: names_reptilian_male
|
||||
- type: localizedDataset
|
||||
id: NamesReptilianMale
|
||||
values:
|
||||
- Abijoo
|
||||
- Ah
|
||||
- Ajum
|
||||
- Am
|
||||
- Amusei
|
||||
- An
|
||||
- Anoo
|
||||
- Aojee
|
||||
- Asum
|
||||
- Az
|
||||
- Azeel
|
||||
- Azinar
|
||||
- Azjai
|
||||
- Baar
|
||||
- Banka
|
||||
- Bar
|
||||
- Barnaxi
|
||||
- Batar
|
||||
- Batuus
|
||||
- Beem
|
||||
- Beshnus
|
||||
- Betu
|
||||
- Bex
|
||||
- Bijot
|
||||
- Bimee
|
||||
- Binyaar
|
||||
- Bosekus
|
||||
- Brand
|
||||
- Bun
|
||||
- Bunach
|
||||
- Bunish
|
||||
- Busheeus
|
||||
- Buujhan
|
||||
- Chakuk
|
||||
- Chalish
|
||||
- Chalureel
|
||||
- Chath
|
||||
- Chee
|
||||
- Cheedal
|
||||
- Chilwir
|
||||
- Chitakus
|
||||
- Chiwish
|
||||
- Chulz
|
||||
- Chuna
|
||||
- Da
|
||||
- Dakee
|
||||
- Dan
|
||||
- Dar
|
||||
- Darasken
|
||||
- DarJee
|
||||
- Debameel
|
||||
- Deed
|
||||
- Deegeeta
|
||||
- Deeh
|
||||
- Deekonus
|
||||
- Deekum
|
||||
- Deekus
|
||||
- Deerkaza
|
||||
- Deetum
|
||||
- Demeepa
|
||||
- Depasa
|
||||
- Derkeethus
|
||||
- Deroh
|
||||
- Dezanu
|
||||
- Dreet
|
||||
- Drumarz
|
||||
- Dum
|
||||
- Dunaxith
|
||||
- Effe
|
||||
- Ei
|
||||
- Eidu
|
||||
- Eius
|
||||
- Eiuus
|
||||
- Eix
|
||||
- Eleedal
|
||||
- Er
|
||||
- Esqoo
|
||||
- Etaku
|
||||
- Gah
|
||||
- Gajul
|
||||
- Gam
|
||||
- Geeh
|
||||
- Geel
|
||||
- Geem
|
||||
- Geh
|
||||
- Gei
|
||||
- Gih
|
||||
- Gin
|
||||
- Goh
|
||||
- Gulum
|
||||
- Haj
|
||||
- Han
|
||||
- Haran
|
||||
- Hareeya
|
||||
- Hathei
|
||||
- Heedul
|
||||
- Heem
|
||||
- Hei
|
||||
- Heir
|
||||
- Hixeeh
|
||||
- Huleeya
|
||||
- Huzei
|
||||
- Ilas
|
||||
- Im
|
||||
- Inee
|
||||
- Itan
|
||||
- J'Ram
|
||||
- Ja
|
||||
- Jah
|
||||
- Jaraleet
|
||||
- Jaree
|
||||
- Jas
|
||||
- Jasaiin
|
||||
- Jaseen
|
||||
- Jat
|
||||
- Jee
|
||||
- Jeela
|
||||
- Jeelius
|
||||
- Jeelus
|
||||
- Jeen
|
||||
- Jeer
|
||||
- Jeetum
|
||||
- Jei
|
||||
- Jilux
|
||||
- Jin
|
||||
- Jon
|
||||
- Jul
|
||||
- Julan
|
||||
- Junal
|
||||
- Jush
|
||||
- Juunei
|
||||
- Kai
|
||||
- Kajin
|
||||
- Kamax
|
||||
- Kas
|
||||
- Keema
|
||||
- Keer
|
||||
- Keerasa
|
||||
- Kepanuu
|
||||
- Kia
|
||||
- Kiameed
|
||||
- Kilaya
|
||||
- Kiurz
|
||||
- Kur
|
||||
- Kuz
|
||||
- La
|
||||
- Lah
|
||||
- Lai
|
||||
- Lan
|
||||
- Lara
|
||||
- Leem
|
||||
- Lei
|
||||
- Loh
|
||||
- Lotash
|
||||
- Luh
|
||||
- Lurz
|
||||
- Luteema
|
||||
- Maahi
|
||||
- Madesi
|
||||
- Maheelius
|
||||
- Mahei
|
||||
- Maht
|
||||
- Malz
|
||||
- Marz
|
||||
- Mathei
|
||||
- Maxath
|
||||
- Meej
|
||||
- Meejapa
|
||||
- Meensuda
|
||||
- Meer
|
||||
- Mema
|
||||
- Mere
|
||||
- Metaku
|
||||
- Miharil
|
||||
- Milos
|
||||
- Miun
|
||||
- Mobareed
|
||||
- Mohimeem
|
||||
- Mopakuz
|
||||
- Motuu
|
||||
- Mujeen
|
||||
- Muranatepa
|
||||
- Mush
|
||||
- Muz
|
||||
- Na
|
||||
- Napetui
|
||||
- Nazuux
|
||||
- Nebutil
|
||||
- Neeti
|
||||
- Neetinei
|
||||
- Neetrenaza
|
||||
- Neetzara
|
||||
- Neeus
|
||||
- Nema
|
||||
- Neposh
|
||||
- Netapatuu
|
||||
- Nexith
|
||||
- Nodeeus
|
||||
- Nomu
|
||||
- Nosaleeth
|
||||
- Nowajeem
|
||||
- Noyei
|
||||
- Nulaz
|
||||
- Nur
|
||||
- Obaxith
|
||||
- Okan
|
||||
- Okaw
|
||||
- Okeeh
|
||||
- Oleed
|
||||
- Oleen
|
||||
- Olik
|
||||
- Olink
|
||||
- Onuja
|
||||
- Onurai
|
||||
- Opatieel
|
||||
- Otumeel
|
||||
- Owai
|
||||
- Pachat
|
||||
- Pacheeva
|
||||
- Pad
|
||||
- Paduxi
|
||||
- Pajeen
|
||||
- Parash
|
||||
- Peeradeeh
|
||||
- Pejureel
|
||||
- Petaxai
|
||||
- Pideelus
|
||||
- Pimaxi
|
||||
- Pojeel
|
||||
- Ra
|
||||
- Radithax
|
||||
- Raj
|
||||
- Rareel
|
||||
- Rasha
|
||||
- Redieeus
|
||||
- Ree
|
||||
- Reeh
|
||||
- Reemukeeus
|
||||
- Reenum
|
||||
- Reesa
|
||||
- Reet
|
||||
- Reezal
|
||||
- Resari
|
||||
- Riker
|
||||
- Ru
|
||||
- Rupah
|
||||
- Sakeepa
|
||||
- Sakeeus
|
||||
- Sakka
|
||||
- Saliith
|
||||
- Sar
|
||||
- Schiavas
|
||||
- Seek
|
||||
- Seewul
|
||||
- Sei
|
||||
- Sejaijilax
|
||||
- Shakiis
|
||||
- Shehs
|
||||
- Shei
|
||||
- Silm
|
||||
- Skee
|
||||
- Skeetul
|
||||
- Sureeus
|
||||
- Ta
|
||||
- Taeed
|
||||
- Tah
|
||||
- Taleel
|
||||
- Talen
|
||||
- Tan
|
||||
- Tanaka
|
||||
- Tanan
|
||||
- Tee
|
||||
- Teeba
|
||||
- Teegla
|
||||
- Teeka
|
||||
- Teekeeus
|
||||
- Teemeeta
|
||||
- Teeus
|
||||
- Tehat
|
||||
- Tei
|
||||
- Teinaava
|
||||
- Teineeja
|
||||
- Terezeeus
|
||||
- Tikaasi
|
||||
- Tim
|
||||
- Topeeth
|
||||
- Topith
|
||||
- Tsleeixth
|
||||
- Tul
|
||||
- Tulm
|
||||
- Tun
|
||||
- Ukatsei
|
||||
- Ukawei
|
||||
- Ula
|
||||
- Ulawa
|
||||
- Ullis
|
||||
- Usha
|
||||
- Usheeja
|
||||
- Utadeek
|
||||
- Utamukeeus
|
||||
- Utatul
|
||||
- Uxith
|
||||
- Vara
|
||||
- Veekas
|
||||
- Veenaza
|
||||
- Veezara
|
||||
- Vistha
|
||||
- Vudeelal
|
||||
- Wanan
|
||||
- Wanum
|
||||
- Wayiteh
|
||||
- Weebam
|
||||
- Weeltul
|
||||
- Weer
|
||||
- Wih
|
||||
- Wud
|
||||
- Wuleen
|
||||
- Wulm
|
||||
- Wumeek
|
||||
- Xal
|
||||
- Xemo
|
||||
- Yinz
|
||||
- Yinz'r
|
||||
- Zaw
|
||||
- Ze
|
||||
- Zeen
|
||||
- Zeeus
|
||||
- Zish
|
||||
prefix: names-reptilian-male-dataset-
|
||||
count: 328
|
||||
|
||||
@@ -1,30 +1,5 @@
|
||||
- type: dataset
|
||||
id: skeletonNamesFirst
|
||||
- type: localizedDataset
|
||||
id: NamesSkeletonFirst
|
||||
values:
|
||||
- Sternum
|
||||
- Ribs
|
||||
- Vertebrae
|
||||
- Sacrum
|
||||
- Mandible
|
||||
- Clavicle
|
||||
- Scapula
|
||||
- Humerus
|
||||
- Radius
|
||||
- Ulna
|
||||
- Carpals
|
||||
- Phalanges
|
||||
- Pelvis
|
||||
- Femur
|
||||
- Tibia
|
||||
- Fibula
|
||||
- Marrow
|
||||
- Tarsals
|
||||
- Patella
|
||||
- Tailbone
|
||||
- Boner
|
||||
- Rib
|
||||
- Hyoid
|
||||
- Coccyx
|
||||
- Tarsus
|
||||
- Lacrimal
|
||||
- Bone
|
||||
prefix: names-skeleton-first-dataset-
|
||||
count: 27
|
||||
|
||||
@@ -8,9 +8,9 @@
|
||||
markingLimits: MobDionaMarkingLimits
|
||||
dollPrototype: MobDionaDummy
|
||||
skinColoration: Hues
|
||||
maleFirstNames: DionaFirst
|
||||
femaleFirstNames: DionaFirst
|
||||
lastNames: DionaLast
|
||||
maleFirstNames: NamesDionaFirst
|
||||
femaleFirstNames: NamesDionaFirst
|
||||
lastNames: NamesDionaLast
|
||||
naming: TheFirstofLast
|
||||
|
||||
- type: speciesBaseSprites
|
||||
|
||||
@@ -8,9 +8,9 @@
|
||||
markingLimits: MobMothMarkingLimits
|
||||
dollPrototype: MobMothDummy
|
||||
skinColoration: Hues
|
||||
maleFirstNames: names_moth_first_male
|
||||
femaleFirstNames: names_moth_first_female
|
||||
lastNames: names_moth_last
|
||||
maleFirstNames: NamesMothFirstMale
|
||||
femaleFirstNames: NamesMothFirstFemale
|
||||
lastNames: NamesMothLast
|
||||
|
||||
- type: speciesBaseSprites
|
||||
id: MobMothSprites
|
||||
|
||||
@@ -8,8 +8,8 @@
|
||||
markingLimits: MobReptilianMarkingLimits
|
||||
dollPrototype: MobReptilianDummy
|
||||
skinColoration: Hues
|
||||
maleFirstNames: names_reptilian_male
|
||||
femaleFirstNames: names_reptilian_female
|
||||
maleFirstNames: NamesReptilianMale
|
||||
femaleFirstNames: NamesReptilianFemale
|
||||
naming: FirstDashFirst
|
||||
|
||||
- type: speciesBaseSprites
|
||||
|
||||
@@ -6,8 +6,8 @@
|
||||
sprites: MobSkeletonSprites
|
||||
defaultSkinTone: "#fff9e2"
|
||||
markingLimits: MobHumanMarkingLimits
|
||||
maleFirstNames: skeletonNamesFirst
|
||||
femaleFirstNames: skeletonNamesFirst
|
||||
maleFirstNames: NamesSkeletonFirst
|
||||
femaleFirstNames: NamesSkeletonFirst
|
||||
dollPrototype: MobSkeletonPersonDummy
|
||||
skinColoration: TintedHues
|
||||
|
||||
|
||||
Reference in New Issue
Block a user