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Maternal attraction calls of seal pup: rhythm and timing of spontaneous vocalisations
This dataset contains timing/rhythm data of seal pup mother attraction calls, plus a supplementary table presenting simple descriptive statistics and distribution of the data.
Data are provided in openly-accessible .csv text files and .pdf formats, code in Python language and .py file format. This dataset contains the following files:
Data are provided in openly-accessible .csv text files and .pdf formats, code in Python language and .py file format. This dataset contains the following files:
durations_all.csv - all call durations in milliseconds
IOI_all.csv - inter-onset intervals (IOIs): the time elapsed between the onsets of two successive calls, in milliseconds
IOI_short.csv - IOIs within approximately 4 times the minimum value, in milliseconds
IPI_all.csv - inter-peak intervals (IPIs): the time between the maximum-intensity peak of one call and the maximum-intensity peak of the next call, in milliseconds
IPI_short.csv - IPIs within approximately 4 times the minimum value, in milliseconds
textgrid_IOI_IPI_dur_01.py - this script receives, as input, a wave file (.wav) and its corresponding Praat Textgrid file (.TextGrid). These two files must have the same name and be both in the same directory as this script. The script extract durational information of seal pups' calls from annotated wav files.
supplement_datanote01 - descriptive statistics and distribution for the durations and intervals in the files listed above: sample size, mean, median and standard deviation
The purpose of the threshold (4 times minimum value) in the IOI_short.csv and IPI_short.csv files was to focus on the timing within vocalization bouts, as opposed to the pooled timing within and between bouts in IOI_all.csv and IPI_all.csv.
Background
The data presents timing of spontaneous vocal rhythms in a harbor seal pup (Phoca vitulina). Data were collected to find spontaneous vocal rhythms in this individual in order to design individually-adapted and ecologically-relevant stimuli for a later playback experiment.
The calls of one seal pup were recorded. The audio recordings were annotated using Praat, a sound analysis software. The annotated onsets and offsets of vocalizations were then imported in a Python script. The script extracted three types of timing information for each call: the duration of calls, the intervals between calls’ onsets, and the intervals between calls’ maximum-intensity peaks. Based on the annotated data, available to download, I provide simple descriptive statistics for these temporal measures, and compare their distributions.
