Divergent Evolution of Sleep Functions: Raw Behavioral Data for Over 11,000 Animals

More than 11,000 animals were analyzed in this raw experimental dataset from the 2024 Nature Communications paper 'Divergent evolution of sleep functions' by Joyce et al. The dataset contains 86 zip files totaling approximately 170GB, which expand to 622 ethoscope database files covering 330GB of raw behavioral recordings. It was authored by Giorgio F. Gilestro of Imperial College London and includes confocal images for BRP analysis.

Use Cases

• Train machine learning models for behavioral phenotyping based on raw ethoscope recordings.
• Analyze sleep patterns and their divergence across species based on the behavioral data.
• Correlate synaptic marker expression (BRP) with sleep behavior using the provided confocal images.
• Develop data processing pipelines for large-scale, raw behavioral datasets.

Strengths

• Covers behavioral data for more than 11,000 animals, providing a large sample size.
• Includes 622 raw ethoscope database files totaling 330GB of primary data.
• Provides associated R/Python scripts and metadata for reproducibility.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Imperial College London

Collection Method

Collected from ethoscopes as part of the experimental study published in Nature Communications.