* 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:
89
Resources/Locale/en-US/datasets/names/diona_first.ftl
Normal file
89
Resources/Locale/en-US/datasets/names/diona_first.ftl
Normal file
@@ -0,0 +1,89 @@
|
|||||||
|
names-diona-first-dataset-1 = Moss
|
||||||
|
names-diona-first-dataset-2 = Mushroom
|
||||||
|
names-diona-first-dataset-3 = Herb
|
||||||
|
names-diona-first-dataset-4 = Ivy
|
||||||
|
names-diona-first-dataset-5 = Stalk
|
||||||
|
names-diona-first-dataset-6 = Petal
|
||||||
|
names-diona-first-dataset-7 = Petals
|
||||||
|
names-diona-first-dataset-8 = Thorn
|
||||||
|
names-diona-first-dataset-9 = Thorns
|
||||||
|
names-diona-first-dataset-10 = Vine
|
||||||
|
names-diona-first-dataset-11 = Vines
|
||||||
|
names-diona-first-dataset-12 = Branch
|
||||||
|
names-diona-first-dataset-13 = Branches
|
||||||
|
names-diona-first-dataset-14 = Weed
|
||||||
|
names-diona-first-dataset-15 = Weeds
|
||||||
|
names-diona-first-dataset-16 = Rose
|
||||||
|
names-diona-first-dataset-17 = Dandelion
|
||||||
|
names-diona-first-dataset-18 = Lilac
|
||||||
|
names-diona-first-dataset-19 = Lily
|
||||||
|
names-diona-first-dataset-20 = Birch
|
||||||
|
names-diona-first-dataset-21 = Oak
|
||||||
|
names-diona-first-dataset-22 = Spruce
|
||||||
|
names-diona-first-dataset-23 = Willow
|
||||||
|
names-diona-first-dataset-24 = Cyprus
|
||||||
|
names-diona-first-dataset-25 = Mangrove
|
||||||
|
names-diona-first-dataset-26 = Stump
|
||||||
|
names-diona-first-dataset-27 = Sap
|
||||||
|
names-diona-first-dataset-28 = Bayou
|
||||||
|
names-diona-first-dataset-29 = Bay
|
||||||
|
names-diona-first-dataset-30 = Lake
|
||||||
|
names-diona-first-dataset-31 = River
|
||||||
|
names-diona-first-dataset-32 = Creek
|
||||||
|
names-diona-first-dataset-33 = Meadow
|
||||||
|
names-diona-first-dataset-34 = Canyon
|
||||||
|
names-diona-first-dataset-35 = Mountain
|
||||||
|
names-diona-first-dataset-36 = Peak
|
||||||
|
names-diona-first-dataset-37 = Garden
|
||||||
|
names-diona-first-dataset-38 = Ocean
|
||||||
|
names-diona-first-dataset-39 = Arctic
|
||||||
|
names-diona-first-dataset-40 = Sea
|
||||||
|
names-diona-first-dataset-41 = Spring
|
||||||
|
names-diona-first-dataset-42 = Swamp
|
||||||
|
names-diona-first-dataset-43 = Stream
|
||||||
|
names-diona-first-dataset-44 = Forest
|
||||||
|
names-diona-first-dataset-45 = Rainforest
|
||||||
|
names-diona-first-dataset-46 = Soil
|
||||||
|
names-diona-first-dataset-47 = Valley
|
||||||
|
names-diona-first-dataset-48 = Moor
|
||||||
|
names-diona-first-dataset-49 = Steppe
|
||||||
|
names-diona-first-dataset-50 = Orchard
|
||||||
|
names-diona-first-dataset-51 = Orchid
|
||||||
|
names-diona-first-dataset-52 = Glacier
|
||||||
|
names-diona-first-dataset-53 = Desert
|
||||||
|
names-diona-first-dataset-54 = Tundra
|
||||||
|
names-diona-first-dataset-55 = Taiga
|
||||||
|
names-diona-first-dataset-56 = Plain
|
||||||
|
names-diona-first-dataset-57 = Plains
|
||||||
|
names-diona-first-dataset-58 = Plateau
|
||||||
|
names-diona-first-dataset-59 = Cliff
|
||||||
|
names-diona-first-dataset-60 = Coast
|
||||||
|
names-diona-first-dataset-61 = Shore
|
||||||
|
names-diona-first-dataset-62 = Jungle
|
||||||
|
names-diona-first-dataset-63 = Tropics
|
||||||
|
names-diona-first-dataset-64 = Flower
|
||||||
|
names-diona-first-dataset-65 = Grass
|
||||||
|
names-diona-first-dataset-66 = Bark
|
||||||
|
names-diona-first-dataset-67 = Autumn
|
||||||
|
names-diona-first-dataset-68 = Summer
|
||||||
|
names-diona-first-dataset-69 = Winter
|
||||||
|
names-diona-first-dataset-70 = Fruit
|
||||||
|
names-diona-first-dataset-71 = Leaves
|
||||||
|
names-diona-first-dataset-72 = Overgrowth
|
||||||
|
names-diona-first-dataset-73 = Atmosphere
|
||||||
|
names-diona-first-dataset-74 = Climate
|
||||||
|
names-diona-first-dataset-75 = Chill
|
||||||
|
names-diona-first-dataset-76 = Winds
|
||||||
|
names-diona-first-dataset-77 = Blossom
|
||||||
|
names-diona-first-dataset-78 = Bloom
|
||||||
|
names-diona-first-dataset-79 = Cap
|
||||||
|
names-diona-first-dataset-80 = Saturation
|
||||||
|
names-diona-first-dataset-81 = Permeation
|
||||||
|
names-diona-first-dataset-82 = Light
|
||||||
|
names-diona-first-dataset-83 = Taste
|
||||||
|
names-diona-first-dataset-84 = Acorn
|
||||||
|
names-diona-first-dataset-85 = Shell
|
||||||
|
names-diona-first-dataset-86 = Ice
|
||||||
|
names-diona-first-dataset-87 = Monsoon
|
||||||
|
names-diona-first-dataset-88 = Overcast
|
||||||
|
names-diona-first-dataset-89 = Storm
|
||||||
128
Resources/Locale/en-US/datasets/names/diona_last.ftl
Normal file
128
Resources/Locale/en-US/datasets/names/diona_last.ftl
Normal file
@@ -0,0 +1,128 @@
|
|||||||
|
# Positive
|
||||||
|
names-diona-last-dataset-1 = Peace
|
||||||
|
names-diona-last-dataset-2 = Harmony
|
||||||
|
names-diona-last-dataset-3 = Relaxation
|
||||||
|
names-diona-last-dataset-4 = Serendipity
|
||||||
|
names-diona-last-dataset-5 = Calmness
|
||||||
|
names-diona-last-dataset-6 = Introspection
|
||||||
|
names-diona-last-dataset-7 = Union
|
||||||
|
names-diona-last-dataset-8 = Comfort
|
||||||
|
names-diona-last-dataset-9 = Dreams
|
||||||
|
names-diona-last-dataset-10 = Quietude
|
||||||
|
names-diona-last-dataset-11 = Balance
|
||||||
|
names-diona-last-dataset-12 = Gentleness
|
||||||
|
names-diona-last-dataset-13 = Placidity
|
||||||
|
names-diona-last-dataset-14 = Repose
|
||||||
|
names-diona-last-dataset-15 = Serenity
|
||||||
|
names-diona-last-dataset-16 = Stillness
|
||||||
|
names-diona-last-dataset-17 = Tranquility
|
||||||
|
names-diona-last-dataset-18 = Ease
|
||||||
|
names-diona-last-dataset-19 = Equilibrium
|
||||||
|
names-diona-last-dataset-20 = Composure
|
||||||
|
names-diona-last-dataset-21 = Control
|
||||||
|
names-diona-last-dataset-22 = Bliss
|
||||||
|
names-diona-last-dataset-23 = Enjoyment
|
||||||
|
names-diona-last-dataset-24 = Optimism
|
||||||
|
names-diona-last-dataset-25 = Ecstasy
|
||||||
|
names-diona-last-dataset-26 = Cheer
|
||||||
|
names-diona-last-dataset-27 = Delight
|
||||||
|
names-diona-last-dataset-28 = Luxury
|
||||||
|
names-diona-last-dataset-29 = Euphoria
|
||||||
|
names-diona-last-dataset-30 = Excitement
|
||||||
|
names-diona-last-dataset-31 = Satisfaction
|
||||||
|
names-diona-last-dataset-32 = Cleanliness
|
||||||
|
names-diona-last-dataset-33 = Expression
|
||||||
|
names-diona-last-dataset-34 = Enrichment
|
||||||
|
names-diona-last-dataset-35 = Enthusiam
|
||||||
|
names-diona-last-dataset-36 = Brilliance
|
||||||
|
names-diona-last-dataset-37 = Determination
|
||||||
|
names-diona-last-dataset-38 = Integrity
|
||||||
|
names-diona-last-dataset-39 = Justice
|
||||||
|
names-diona-last-dataset-40 = Kindness
|
||||||
|
names-diona-last-dataset-41 = Bravery
|
||||||
|
names-diona-last-dataset-42 = Empathy
|
||||||
|
names-diona-last-dataset-43 = Stoicism
|
||||||
|
names-diona-last-dataset-44 = Competence
|
||||||
|
names-diona-last-dataset-45 = Love
|
||||||
|
names-diona-last-dataset-46 = Hope
|
||||||
|
names-diona-last-dataset-47 = Honesty
|
||||||
|
names-diona-last-dataset-48 = Generosity
|
||||||
|
names-diona-last-dataset-49 = Opportunity
|
||||||
|
names-diona-last-dataset-50 = Motivation
|
||||||
|
|
||||||
|
# Neutral
|
||||||
|
names-diona-last-dataset-51 = Urgency
|
||||||
|
names-diona-last-dataset-52 = Vitality
|
||||||
|
names-diona-last-dataset-53 = Hardiness
|
||||||
|
names-diona-last-dataset-54 = Vigor
|
||||||
|
names-diona-last-dataset-55 = Agility
|
||||||
|
names-diona-last-dataset-56 = Dexterity
|
||||||
|
names-diona-last-dataset-57 = Perception
|
||||||
|
names-diona-last-dataset-58 = Wisdom
|
||||||
|
names-diona-last-dataset-59 = Charisma
|
||||||
|
names-diona-last-dataset-60 = Persistence
|
||||||
|
names-diona-last-dataset-61 = Perseverance
|
||||||
|
names-diona-last-dataset-62 = Density
|
||||||
|
names-diona-last-dataset-63 = Strength
|
||||||
|
names-diona-last-dataset-64 = Congestion
|
||||||
|
names-diona-last-dataset-65 = Concentration
|
||||||
|
names-diona-last-dataset-66 = Intensity
|
||||||
|
names-diona-last-dataset-67 = Refinement
|
||||||
|
names-diona-last-dataset-68 = Obscurity
|
||||||
|
names-diona-last-dataset-69 = Fortitude
|
||||||
|
names-diona-last-dataset-70 = Endurance
|
||||||
|
names-diona-last-dataset-71 = Patience
|
||||||
|
names-diona-last-dataset-72 = Passivity
|
||||||
|
names-diona-last-dataset-73 = Indifference
|
||||||
|
names-diona-last-dataset-74 = Sleepiness
|
||||||
|
names-diona-last-dataset-75 = Neutrality
|
||||||
|
names-diona-last-dataset-76 = Fairness
|
||||||
|
names-diona-last-dataset-77 = Silliness
|
||||||
|
names-diona-last-dataset-78 = Restraint
|
||||||
|
names-diona-last-dataset-79 = Silence
|
||||||
|
names-diona-last-dataset-80 = Bewilderment
|
||||||
|
names-diona-last-dataset-81 = Tactility
|
||||||
|
names-diona-last-dataset-82 = Invisibility
|
||||||
|
names-diona-last-dataset-83 = Darkness
|
||||||
|
names-diona-last-dataset-84 = Fragility
|
||||||
|
names-diona-last-dataset-85 = Action
|
||||||
|
names-diona-last-dataset-86 = Awakening
|
||||||
|
names-diona-last-dataset-87 = Activity
|
||||||
|
names-diona-last-dataset-88 = Audacity
|
||||||
|
names-diona-last-dataset-89 = Vivacity
|
||||||
|
names-diona-last-dataset-90 = Knowledge
|
||||||
|
names-diona-last-dataset-91 = Modification
|
||||||
|
|
||||||
|
# Negative
|
||||||
|
# These should be something a diona would still realistically name themselves, i.e not inherently self deprecating.
|
||||||
|
names-diona-last-dataset-92 = Envy
|
||||||
|
names-diona-last-dataset-93 = Ineptitude
|
||||||
|
names-diona-last-dataset-94 = Ignorance
|
||||||
|
names-diona-last-dataset-95 = Decay
|
||||||
|
names-diona-last-dataset-96 = Lethargy
|
||||||
|
names-diona-last-dataset-97 = Bitterness
|
||||||
|
names-diona-last-dataset-98 = Acidity
|
||||||
|
names-diona-last-dataset-99 = Illness
|
||||||
|
names-diona-last-dataset-100 = Weakness
|
||||||
|
names-diona-last-dataset-101 = Enervation
|
||||||
|
names-diona-last-dataset-102 = Fatigue
|
||||||
|
names-diona-last-dataset-103 = Noxiousness
|
||||||
|
names-diona-last-dataset-104 = Convolution
|
||||||
|
names-diona-last-dataset-105 = Confusion
|
||||||
|
names-diona-last-dataset-106 = Agitation
|
||||||
|
names-diona-last-dataset-107 = Despair
|
||||||
|
names-diona-last-dataset-108 = Sorrow
|
||||||
|
names-diona-last-dataset-109 = Pain
|
||||||
|
names-diona-last-dataset-110 = Animosity
|
||||||
|
names-diona-last-dataset-111 = Fury
|
||||||
|
names-diona-last-dataset-112 = Disinterest
|
||||||
|
names-diona-last-dataset-113 = Anger
|
||||||
|
names-diona-last-dataset-114 = Rage
|
||||||
|
names-diona-last-dataset-115 = Displeasure
|
||||||
|
names-diona-last-dataset-116 = Irritation
|
||||||
|
names-diona-last-dataset-117 = Resentment
|
||||||
|
names-diona-last-dataset-118 = Soreness
|
||||||
|
names-diona-last-dataset-119 = Frustration
|
||||||
|
names-diona-last-dataset-120 = Insanity
|
||||||
|
names-diona-last-dataset-121 = Chaos
|
||||||
|
names-diona-last-dataset-122 = Fear
|
||||||
93
Resources/Locale/en-US/datasets/names/moth_first_female.ftl
Normal file
93
Resources/Locale/en-US/datasets/names/moth_first_female.ftl
Normal file
@@ -0,0 +1,93 @@
|
|||||||
|
# Acherontia atropos
|
||||||
|
names-moth-first-female-dataset-1 = Atropos
|
||||||
|
|
||||||
|
# Biston betularia
|
||||||
|
names-moth-first-female-dataset-2 = Betularia
|
||||||
|
|
||||||
|
# Daphnis
|
||||||
|
names-moth-first-female-dataset-3 = Daphne
|
||||||
|
|
||||||
|
# Eurypteryx
|
||||||
|
names-moth-first-female-dataset-4 = Eurypta
|
||||||
|
|
||||||
|
# Eudryas
|
||||||
|
names-moth-first-female-dataset-5 = Eudryas
|
||||||
|
|
||||||
|
# Salassa iris
|
||||||
|
names-moth-first-female-dataset-6 = Iris
|
||||||
|
|
||||||
|
# Acherontia lachesis
|
||||||
|
names-moth-first-female-dataset-7 = Lachesis
|
||||||
|
|
||||||
|
# Actias luna
|
||||||
|
names-moth-first-female-dataset-8 = Luna
|
||||||
|
|
||||||
|
# Lymantria
|
||||||
|
names-moth-first-female-dataset-9 = Lymanzia
|
||||||
|
|
||||||
|
# Dryocampa rubicunda, "Rosy Maple"
|
||||||
|
names-moth-first-female-dataset-10 = Maple
|
||||||
|
|
||||||
|
# Mimas
|
||||||
|
names-moth-first-female-dataset-11 = Mima
|
||||||
|
|
||||||
|
# Nephele
|
||||||
|
names-moth-first-female-dataset-12 = Nephele
|
||||||
|
|
||||||
|
# Dryocampa rubicunda
|
||||||
|
names-moth-first-female-dataset-13 = Rosie
|
||||||
|
|
||||||
|
# Cosmosoma myrodora, "Scarlet-bodied wasp moth"
|
||||||
|
names-moth-first-female-dataset-14 = Scarlet
|
||||||
|
|
||||||
|
# Acherontia styx
|
||||||
|
names-moth-first-female-dataset-15 = Styx
|
||||||
|
|
||||||
|
## Other languages
|
||||||
|
# Galician "moth" (avelaíña)
|
||||||
|
names-moth-first-female-dataset-16 = Avelaina
|
||||||
|
|
||||||
|
# Italian "winter moth"
|
||||||
|
names-moth-first-female-dataset-17 = Falena
|
||||||
|
|
||||||
|
# Greek "moon gift"
|
||||||
|
names-moth-first-female-dataset-18 = Menodora
|
||||||
|
|
||||||
|
# Romanian "moth"
|
||||||
|
names-moth-first-female-dataset-19 = Molie
|
||||||
|
|
||||||
|
# Spanish "moth"
|
||||||
|
names-moth-first-female-dataset-20 = Polilla
|
||||||
|
|
||||||
|
## Myth and legend
|
||||||
|
# Greek mythological figure
|
||||||
|
names-moth-first-female-dataset-21 = Althea
|
||||||
|
|
||||||
|
# Roman goddess of the dawn
|
||||||
|
names-moth-first-female-dataset-22 = Aurora
|
||||||
|
|
||||||
|
# Greek mythological figure
|
||||||
|
names-moth-first-female-dataset-23 = Helle
|
||||||
|
|
||||||
|
# Greek goddess of the moon
|
||||||
|
names-moth-first-female-dataset-24 = Selene
|
||||||
|
|
||||||
|
# Greek goddess of the night
|
||||||
|
names-moth-first-female-dataset-25 = Nyx
|
||||||
|
|
||||||
|
## Fun names
|
||||||
|
names-moth-first-female-dataset-26 = Angel
|
||||||
|
names-moth-first-female-dataset-27 = Sandy
|
||||||
|
names-moth-first-female-dataset-28 = Liberty
|
||||||
|
names-moth-first-female-dataset-29 = Beatrix
|
||||||
|
|
||||||
|
## Common names, filler
|
||||||
|
names-moth-first-female-dataset-30 = Daisy
|
||||||
|
names-moth-first-female-dataset-31 = Dawn
|
||||||
|
names-moth-first-female-dataset-32 = Elizabeth
|
||||||
|
names-moth-first-female-dataset-33 = Lucy
|
||||||
|
names-moth-first-female-dataset-34 = Ruby
|
||||||
|
names-moth-first-female-dataset-35 = Sarah
|
||||||
|
names-moth-first-female-dataset-36 = Sienna
|
||||||
|
names-moth-first-female-dataset-37 = Willow
|
||||||
|
names-moth-first-female-dataset-38 = Zoey
|
||||||
94
Resources/Locale/en-US/datasets/names/moth_first_male.ftl
Normal file
94
Resources/Locale/en-US/datasets/names/moth_first_male.ftl
Normal file
@@ -0,0 +1,94 @@
|
|||||||
|
# Agrius
|
||||||
|
names-moth-first-male-dataset-1 = Agrius
|
||||||
|
|
||||||
|
# Attacus atlas
|
||||||
|
names-moth-first-male-dataset-2 = Atlas
|
||||||
|
|
||||||
|
# Attacus
|
||||||
|
names-moth-first-male-dataset-3 = Attacus
|
||||||
|
|
||||||
|
# Attacus caesar
|
||||||
|
names-moth-first-male-dataset-4 = Caesar
|
||||||
|
|
||||||
|
# Coscinocera hercules
|
||||||
|
names-moth-first-male-dataset-5 = Hercules
|
||||||
|
|
||||||
|
# Itame brunneata, "Rannoch Looper"
|
||||||
|
names-moth-first-male-dataset-6 = Rannoch
|
||||||
|
|
||||||
|
# Acosmeryx socrates
|
||||||
|
names-moth-first-male-dataset-7 = Socrates
|
||||||
|
|
||||||
|
# Saturniidae solus
|
||||||
|
names-moth-first-male-dataset-8 = Solus
|
||||||
|
|
||||||
|
## Other languages
|
||||||
|
# Hebrew עש "moth"
|
||||||
|
names-moth-first-male-dataset-9 = Ash
|
||||||
|
|
||||||
|
# Persian "fire"
|
||||||
|
names-moth-first-male-dataset-10 = Azar
|
||||||
|
|
||||||
|
# German "emperor" descendant of the Latin caesar
|
||||||
|
names-moth-first-male-dataset-11 = Kaiser
|
||||||
|
|
||||||
|
# Latin "king"
|
||||||
|
names-moth-first-male-dataset-12 = Rex
|
||||||
|
|
||||||
|
# Sanskrit "darkness" or "dust"
|
||||||
|
names-moth-first-male-dataset-13 = Rajas
|
||||||
|
|
||||||
|
# Greek "clothes moth"
|
||||||
|
names-moth-first-male-dataset-14 = Skoros
|
||||||
|
|
||||||
|
## Myth and legend
|
||||||
|
# Legendary king of the Britons who crafted wings and died in his attempt at flight
|
||||||
|
names-moth-first-male-dataset-15 = Bladud
|
||||||
|
|
||||||
|
# Father of Icarus
|
||||||
|
names-moth-first-male-dataset-16 = Daedalus
|
||||||
|
|
||||||
|
# Greek primordial deity of darkness
|
||||||
|
names-moth-first-male-dataset-17 = Erebus
|
||||||
|
|
||||||
|
# The classic
|
||||||
|
names-moth-first-male-dataset-18 = Icarus
|
||||||
|
|
||||||
|
# Hindu figure, similar to Icarus
|
||||||
|
names-moth-first-male-dataset-19 = Jatayu
|
||||||
|
|
||||||
|
# Japanese reading of 夸父(こほ)
|
||||||
|
names-moth-first-male-dataset-20 = Koho
|
||||||
|
|
||||||
|
# Chinese giant 夸父, similar to Icarus
|
||||||
|
names-moth-first-male-dataset-21 = Kuafu
|
||||||
|
|
||||||
|
# More commonly-known fall-from-heaven figure
|
||||||
|
names-moth-first-male-dataset-22 = Lucifer
|
||||||
|
|
||||||
|
# Arthurian wizard
|
||||||
|
names-moth-first-male-dataset-23 = Merlin
|
||||||
|
|
||||||
|
# Another Greek figure, similar to Icarus
|
||||||
|
names-moth-first-male-dataset-24 = Phaethon
|
||||||
|
|
||||||
|
# Rendering of Bladud from the Welsh blaidd "wolf" + iudd "lord"
|
||||||
|
names-moth-first-male-dataset-25 = Wolford
|
||||||
|
|
||||||
|
## Fun names
|
||||||
|
names-moth-first-male-dataset-26 = Ace
|
||||||
|
names-moth-first-male-dataset-27 = Altair
|
||||||
|
names-moth-first-male-dataset-28 = Dusty
|
||||||
|
names-moth-first-male-dataset-29 = Gambit
|
||||||
|
names-moth-first-male-dataset-30 = Hawk
|
||||||
|
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
Normal file
@@ -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
|
- type: localizedDataset
|
||||||
id: DionaFirst
|
id: NamesDionaFirst
|
||||||
values:
|
values:
|
||||||
- Moss
|
prefix: names-diona-first-dataset-
|
||||||
- Mushroom
|
count: 89
|
||||||
- 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
|
|
||||||
|
|
||||||
- type: dataset
|
- type: localizedDataset
|
||||||
id: DionaLast
|
id: NamesDionaLast
|
||||||
values:
|
values:
|
||||||
# Positive
|
prefix: names-diona-last-dataset-
|
||||||
- Peace
|
count: 122
|
||||||
- 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
|
|
||||||
|
|||||||
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
|
- type: localizedDataset
|
||||||
id: names_mushman_first
|
id: NamesMushmanFirst
|
||||||
values:
|
values:
|
||||||
- Pleurocybella
|
prefix: names-mushman-first-dataset-
|
||||||
- Geastrum
|
count: 54
|
||||||
- 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
|
|
||||||
|
|||||||
@@ -1,100 +1,5 @@
|
|||||||
- type: dataset
|
- type: localizedDataset
|
||||||
id: names_mushman_last
|
id: NamesMushmanLast
|
||||||
values:
|
values:
|
||||||
- Porrigens
|
prefix: names-mushman-last-dataset-
|
||||||
- Deceptiva
|
count: 97
|
||||||
- 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
|
|
||||||
|
|||||||
@@ -1,166 +1,5 @@
|
|||||||
- type: dataset
|
- type: localizedDataset
|
||||||
id: names_reptilian_female
|
id: NamesReptilianFemale
|
||||||
values:
|
values:
|
||||||
- Adzi
|
prefix: names-reptilian-female-dataset-
|
||||||
- Ah
|
count: 163
|
||||||
- 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
|
|
||||||
|
|||||||
@@ -1,331 +1,5 @@
|
|||||||
- type: dataset
|
- type: localizedDataset
|
||||||
id: names_reptilian_male
|
id: NamesReptilianMale
|
||||||
values:
|
values:
|
||||||
- Abijoo
|
prefix: names-reptilian-male-dataset-
|
||||||
- Ah
|
count: 328
|
||||||
- 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
|
|
||||||
|
|||||||
@@ -1,30 +1,5 @@
|
|||||||
- type: dataset
|
- type: localizedDataset
|
||||||
id: skeletonNamesFirst
|
id: NamesSkeletonFirst
|
||||||
values:
|
values:
|
||||||
- Sternum
|
prefix: names-skeleton-first-dataset-
|
||||||
- Ribs
|
count: 27
|
||||||
- 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
|
|
||||||
|
|||||||
@@ -8,9 +8,9 @@
|
|||||||
markingLimits: MobDionaMarkingLimits
|
markingLimits: MobDionaMarkingLimits
|
||||||
dollPrototype: MobDionaDummy
|
dollPrototype: MobDionaDummy
|
||||||
skinColoration: Hues
|
skinColoration: Hues
|
||||||
maleFirstNames: DionaFirst
|
maleFirstNames: NamesDionaFirst
|
||||||
femaleFirstNames: DionaFirst
|
femaleFirstNames: NamesDionaFirst
|
||||||
lastNames: DionaLast
|
lastNames: NamesDionaLast
|
||||||
naming: TheFirstofLast
|
naming: TheFirstofLast
|
||||||
|
|
||||||
- type: speciesBaseSprites
|
- type: speciesBaseSprites
|
||||||
|
|||||||
@@ -8,9 +8,9 @@
|
|||||||
markingLimits: MobMothMarkingLimits
|
markingLimits: MobMothMarkingLimits
|
||||||
dollPrototype: MobMothDummy
|
dollPrototype: MobMothDummy
|
||||||
skinColoration: Hues
|
skinColoration: Hues
|
||||||
maleFirstNames: names_moth_first_male
|
maleFirstNames: NamesMothFirstMale
|
||||||
femaleFirstNames: names_moth_first_female
|
femaleFirstNames: NamesMothFirstFemale
|
||||||
lastNames: names_moth_last
|
lastNames: NamesMothLast
|
||||||
|
|
||||||
- type: speciesBaseSprites
|
- type: speciesBaseSprites
|
||||||
id: MobMothSprites
|
id: MobMothSprites
|
||||||
|
|||||||
@@ -8,8 +8,8 @@
|
|||||||
markingLimits: MobReptilianMarkingLimits
|
markingLimits: MobReptilianMarkingLimits
|
||||||
dollPrototype: MobReptilianDummy
|
dollPrototype: MobReptilianDummy
|
||||||
skinColoration: Hues
|
skinColoration: Hues
|
||||||
maleFirstNames: names_reptilian_male
|
maleFirstNames: NamesReptilianMale
|
||||||
femaleFirstNames: names_reptilian_female
|
femaleFirstNames: NamesReptilianFemale
|
||||||
naming: FirstDashFirst
|
naming: FirstDashFirst
|
||||||
|
|
||||||
- type: speciesBaseSprites
|
- type: speciesBaseSprites
|
||||||
|
|||||||
@@ -6,8 +6,8 @@
|
|||||||
sprites: MobSkeletonSprites
|
sprites: MobSkeletonSprites
|
||||||
defaultSkinTone: "#fff9e2"
|
defaultSkinTone: "#fff9e2"
|
||||||
markingLimits: MobHumanMarkingLimits
|
markingLimits: MobHumanMarkingLimits
|
||||||
maleFirstNames: skeletonNamesFirst
|
maleFirstNames: NamesSkeletonFirst
|
||||||
femaleFirstNames: skeletonNamesFirst
|
femaleFirstNames: NamesSkeletonFirst
|
||||||
dollPrototype: MobSkeletonPersonDummy
|
dollPrototype: MobSkeletonPersonDummy
|
||||||
skinColoration: TintedHues
|
skinColoration: TintedHues
|
||||||
|
|
||||||
|
|||||||
Reference in New Issue
Block a user