Data from: A new framework for analysing automated acoustic species detection data: occupancy estimation and optimization of recordings post-processing

Thierry Chambert, J. Hardin Waddle, David A.W. Miller, Susan C. Walls, James D. Nichols & David A. W. Miller
The development and use of automated species detection technologies, such as acoustic recorders, for monitoring wildlife are rapidly expanding. Automated classification algorithms provide cost- and time-effective means to process information-rich data, but often at the cost of additional detection errors. Appropriate methods are necessary to analyse such data while dealing with the different types of detection errors. We developed a hierarchical modelling framework for estimating species occupancy from automated species detection data. We explore design...
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These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
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