A study dataset contains stimuli, raw data, and statistical analyses for investigating how music training modulates the temporal dynamics of musical tension. The research examines responses to both tonal and atonal music. It was authored by Jiaqi Xu and is hosted by Harvard Dataverse.
Use Cases
- Analyze raw data on temporal dynamics of musical tension to compare perception between tonal and atonal music.
- Use statistical analyses to model the effect of music training on tension modulation over time.
- Examine study stimuli to understand the structural features of music used in the perception experiments.
Strengths
- Includes raw data, statistical analyses, and code, providing a complete research package.
- Associated with Harvard Dataverse, a reputable academic data repository.
- Focuses on a specific research question regarding music training and tension perception.
Limitations
- The dataset's size, number of rows, columns, and file formats are unknown.
- The specific stimuli, participant demographics, and data collection methods are not detailed in the provided input.
- The license for data use is unspecified.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- null
- Time Range
- null
- Freshness
- null
- Geography
- null