Data and code for: Nocturnal at noon? Addressing false positives in activity pattern data

This repository contains data and code for: Meliane, M. K., Rita, N., Holmes Z.B., Guthrie, J. M. and Ellington E.H. (2026). Nocturnal at noon? Addressing false positives in activity pattern data. Ecology and Evolution. https://doi.org/10.1002/ece3.73388. Please cite the original Ecology and Evolution manuscript above when using this dataset. The repository includes: -Three .csv files containing empirical detection data for the three species used in the manuscript, -One R script implementing the uniform false-positive model, and -One R script implementing the skewed false-positive model. Each csv file for the empirical data contains the BirdNET automatic ID in the Common.name column, the model's ID confidence in the Confidence column and, the date and time of the detection in the datetime column. The expert opinion on whether the species was correctly identified by the model is in the column Species_Present (Y/N). Code files are uniform_model.R (fits the model assuming false positives are uniformly distributed across the 24-hour cycle) and skewed_model.R (fits the model assuming false positives are temporally skewed/non-uniformly distributed across the day). These correspond to the two Bayesian mixture-model variants described in the manuscript. The methods are implemented in R using RStan.