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Dryad

Bat-aggregated time series workflow

Abstract

This dataset and code provides radar-based detections of Brazilian free-tailed bats (Tadarida brasiliensis) across select regions of California and Texas, compiled using weather radar data from the NEXRAD (NEXtgeneration weather RADar) system. NEXRAD radars, operated by the US National Weather Service, continuously monitor the airspace, detecting various airborne organisms including birds, insects, and bats.

The dataset was generated using the ‘BATS’ Python toolkit (program included), which automates the retrieval, processing, and classification of radar data. It employs a pre-trained machine learning model specifically designed to detect radar echoes associated with Brazilian free-tailed bats. The dataset includes the results from machine learning models trained and tested on radar data, which achieved an AUC of 0.963, demonstrating high accuracy in identifying bat activity. The dataset also includes pre-trained neural network and random forest models for reproducibility.

This dataset provides valuable spatiotemporal information on bat presence at a large landscape scale and across extended timeframes. By distilling radar data into efficient summaries of bat occurrence, the dataset enables researchers to explore patterns in bat activity and their potential ecosystem services, such as insect consumption, in agricultural regions.