Hiroto Enari's dataset lists the vocal rates of alert barks, howls, and moans produced by sika deer during autumn months. The data was accumulated via passive acoustic monitoring in the Aizu and Asama regions of central Japan between 2021 and 2024. It includes weekly call frequencies and associated camera trap counts for deer, bears, and humans.
Use Cases
- Analyze seasonal patterns of sika deer vocalizations based on weekly call frequency data.
- Correlate deer call rates with the presence of predators or humans based on camera trap counts.
- Compare vocal behavior across different geographic regions based on data from the Aizu and Asama areas.
- Validate or train bioacoustic detection models based on calls extracted with an 84.7% recall rate for alerts.
Strengths
- Data collection spans four years (2021-2024) across two distinct regions.
- Call detection was performed with a documented recall rate, such as 84.7% for alert barks.
- Includes auxiliary data from camera traps counting deer, bears, and humans.
- Recording methodology is detailed, specifying ARU operation for 12 hours daily over 1.5–2 month periods.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset is small (25.8 KB), indicating a limited scope of observations.
Provenance
- Source
- Hiroto Enari via figshare.
- Collection Method
- Passive acoustic monitoring using autonomous recording units (ARUs) and camera traps.
- Time Range
- 2021 to 2024.
- Freshness
- Last updated 2026-05-25 01:18:18; freshness should be verified.
- Geography
- Aizu and Asama regions in the middle of mainland Japan.