July-September 2022 recordings from static bat detectors placed around Exeter, Devon, UK, to gauge the impact of artificial light at night (ALAN) on bat movement. Classifications were drawn from audio recordings using BatClassify and PnatConsoleApp software, supplemented by manual human classification on a subset. The dataset is provided by the Environmental Information Data Centre.
Use Cases
- Modeling bat species distribution based on acoustic presence data.
- Analyzing the impact of artificial light at night (ALAN) on bat activity in urban landscapes.
- Comparing automated software classification (BatClassify, PnatConsoleApp) with manual human verification.
- Studying seasonal bat activity patterns during the summer months.
Strengths
- Data collection covers a three-month period from July to September 2022.
- Classifications combine automated software (BatClassify, PnatConsoleApp) with manual human verification on a subset.
- Experiment was designed with a specific research goal: gauging the impact of artificial light at night (ALAN).
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for large-scale modeling.
- Data may reflect geographic bias inherent to the single-city study area of Exeter, UK.
Provenance
- Source
- Environmental Information Data Centre
- Collection Method
- Recordings from static bat detectors placed strategically around Exeter, with classifications from software and manual review.
- Time Range
- July 2022 - September 2022
- Freshness
- Last updated 2026-07-02 19:08:15.295619; freshness should be verified.
- Geography
- Exeter, Devon, United Kingdom