Mechanosensory Coupling Between Human Cardiac Activity and Plant Bioelectric Potentials

A single-subject longitudinal study recorded approximately 93,000 one-Hz observations across seven daytime sessions. The data includes simultaneous measurements of human emotion, physiology, plant bioelectric voltage, and environmental chemistry. The dataset was created by Peter Gloor and last updated on 2026-04-28.

Use Cases

• Analyze time-lagged mediation between emotional valence and plant bioelectric signals based on the described lagged mediation analysis.
• Investigate frequency-specific coupling between heart rate and plant oscillations based on the spectral mediation analysis across eight frequency bands.
• Build predictive models of emotional state using environmental variables like VOC index based on the random forest results mentioned.
• Validate emotion detection methods by comparing camera-based facial expression recognition with HRV-derived valence metrics.

Strengths

• Approximately 93,000 time-series observations at 1 Hz provide high temporal resolution.
• Multimodal data includes heart rate, heart rate variability, facial emotion recognition, plant bioelectric voltage, CO2, temperature, humidity, and VOC index.
• Dataset includes results of statistical analyses (e.g., r=+0.067, p<0.001, 30% partial mediation) providing context for the raw data.

Limitations

• Data is from a single participant (n=1), limiting generalizability.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The 2.4 MB file size suggests the dataset is relatively small, which may limit model training.

Provenance

Source

figshare

Collection Method

Collected using a custom IoT platform with bioelectric plant sensors, a Polar H10 heart rate monitor, HSEmotion facial recognition, and environmental sensors.

Time Range

Coverage is across seven daytime sessions; specific dates are not provided.

Freshness

Last updated 2026-04-28 10:26:07; freshness should be verified.