Central Kalimantan, Indonesia, is the location for this dataset of 83,956 great call detections from the endangered Bornean white-bearded gibbon. The data was collected via eight autonomous recording units across three forest types from July 2018 to December 2019. Author Alasdair F. Owens and team used a pretrained deep learning detector to analyze 23,244 hours of morning audio, examining links between calling activity and seasonal rainfall.
Use Cases
- Modeling the lagged relationship between rainfall and animal vocalization rates based on the described 51-52 day peak.
- Comparing daily calling activity and inferred population density across different forest habitats like lowland heath and mixed swamp.
- Training or validating acoustic event detectors for gibbon great calls using the large set of labeled detections.
- Studying the effects of anthropogenic disturbance and climate change on species' vocal behavior over broad spatiotemporal scales.
Strengths
- 23,244 hours of continuous acoustic data provides a substantial temporal sample.
- 83,956 great call detections offer a large labeled event set for analysis.
- Data collection spans 18 months and three distinct forest types, allowing for habitat comparison.
- Analysis links vocal behavior to a concrete environmental variable (rainfall) with a quantified temporal lag.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count for the main detection file is unknown, which may limit suitability assessment.
- The dataset's focus on morning recordings (04:00-10:00) may not capture full diurnal vocal activity.
Provenance
- Source
- Borealis Harvested Dataverse
- Collection Method
- Passive acoustic monitoring using eight autonomous recording units, with detections generated by a pretrained deep learning model.
- Time Range
- July 2018 to December 2019
- Freshness
- Last updated 2026-06-06 04:11:05; freshness should be verified.
- Geography
- Mungku Baru Education and Research Forest, Central Kalimantan, Indonesia