Vocal Sequence Timing Data from Crows and Humans in Counting Task

An XLSX dataset from a comparative cognition study investigating Menzerath's law and final lengthening in vocal sequences. It contains timing data from crows and humans performing a numerically cued vocal production task, published under CC BY 4.0 by Diana Liao in March 2026.

Use Cases

• Analyze correlation between sequence length and vocalization duration to test Menzerath's law across species.
• Examine correlation between sequence position and duration to assess final lengthening patterns.
• Compare species-specific temporal patterns in vocal responses using data from crows and humans.
• Investigate the relationship between numerical representation (approximate vs. symbolic) and vocal timing metrics.

Strengths

• Data directly compares two distinct species (crows and humans) in the same experimental task.
• Focuses on two specific linguistic laws: Menzerath's law and final lengthening.
• Published in March 2026, indicating recent research data.

Limitations

• Small dataset size of 1019.3 KB suggests limited sample size or number of observations.
• Column structure and row count are unknown, complicating assessment of analytical scope.
• Data is from a constrained laboratory task, not ecological vocal communication.

Provenance

Source

figshare, authored by Diana Liao.

Collection Method

Data gathered from a numerically cued vocal production task with crows and humans.

Time Range

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Freshness

Last updated March 2026.

Geography

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