Rat Drinking Behavior and Locomotor Activity Over 14 Weeks

Encompassing intensive longitudinal data on rat drinking behavior and locomotor activity, collected over 14 weeks using a fully automated drinkometer device. It was created by Jerome Clifford Foo to study dynamical state transitions into addictive behavior and associated early-warning signals.

Use Cases

• Analyze fluctuations in drinking behavior time series to detect instability patterns as potential early-warning signals for a critical transition.
• Study changes in locomotor activity circadian rhythms during alcohol deprivation and reintroduction phases.
• Identify the emergence of low-frequency ultradian rhythms in the first week of alcohol deprivation from longitudinal activity data.
• Model the dynamical transition to excessive alcohol consumption using multi-scale computational features extracted from the intensive longitudinal data.

Strengths

• Data was collected over a 14-week longitudinal study, providing a substantial temporal scope for behavioral analysis.
• Intensive longitudinal data (ILD) captures high-resolution drinking and locomotor activity patterns.
• Data acquisition was performed by a fully automated device, reducing manual observation bias.

Limitations

• The dataset is derived from an animal model (rats), which may limit direct translation to human disease dynamics.
• Sample size (number of rats) is not specified, making it difficult to assess statistical power.
• The data is from a specific experimental paradigm (initial exposure, deprivation, reintroduction), which may not generalize to other addiction models.

Provenance

Source

Dryad digital repository.

Collection Method

Data acquired from a fully automated drinkometer device monitoring rat behavior.

Time Range

Data collection spanned 14 weeks.

Freshness

Last updated in June 2020.