This contains the main data for the vowels. Each row is a word token (not a vowel! This is not quite tidy data, but since we mostly work with the stressed vowels it saves a lot of boilerplate. Packages like reshape2 or tidy can be used to kick this into shape). There are all sorts of measures given, including word, various phonological characteristics of the context, and durational properties.
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A data frame with a large number of columns. Some more important ones:
v1, v2The quality of the stressed and post-tonic vowel respectively
c1, c2The quality of the post-tonic consonant and the second consonant of the cluster, if any
v1.durThe duration of the vocalic portion for the stressed vowel
hv1.durThe duration of the stressed vowel, including the VOT
v1h.durThe duration of the stressed vowel, including the preaspiration following it
hv1h.durStressed vowel duration, including both VOT and preaspiration
wordThe lexical item
speakerThe speaker
v1.is.longT for phonologically long vowels, F for short vowels, schwa and vowels before clusters
contextAll schwas have the value schwa; otherwise long, short or cluster
filenameThe file name of the word, for your double-checking needs
v1.f1, v1.f2, v2.f1, v2.f2The F1 and F2 values of each vowel. They also come in normalized versions (v1.f1.norm etc.)
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