Dear Colleagues; My co-authors and I are pleased to announce the publication of our paper,* Categorizing click trains to increase taxonomic precision in echolocation click loggers.* As this research is in its early stages, we would especially like to offer our categorisation model to any colleagues who have with visually validated C-POD data. Otherwise, anyone wishing to use or build on these methods may obtain the R model from this study via GitHub repository https://github.com/JPalmerK/C-POD-encounter-classification Warm Regards, Kaitlin Palmer http://asa.scitation.org/doi/10.1121/1.4996000 Passive acoustic monitoring is an efficient way to study acoustically active animals but species identification remains a major challenge. C-PODs are popular logging devices that automatically detect odontocete echolocation clicks. However, the accompanying analysis software does not distinguish between delphinid species. Click train features logged by C-PODs were compared to frequency spectra from adjacently deployed continuous recorders. A generalized additive model was then used to categorize C-POD click trains into three groups: broadband click trains, produced by bottlenose dolphin (*Tursiops truncatus*) or common dolphin (*Delphinus delphis*), frequency-banded click trains, produced by Risso's (*Grampus griseus*) or white beaked dolphins (*Lagenorhynchus albirostris*), and unknown click trains. Incorrect categorization rates for broadband and frequency banded clicks were 0.02 (SD 0.01), but only 30% of the click trains met the categorization threshold. To increase the proportion of categorized click trains, model predictions were pooled within acoustic encounters and a likelihood ratio threshold was used to categorize encounters. This increased the proportion of the click trains meeting either the broadband or frequency banded categorization threshold to 98%. Predicted species distribution at the 30 study sites matched well to visual sighting records from the region. -- Kaitlin Palmer MASTS PhD student (masts.ac.uk) E-mail: kp37@st-andrews.ac.uk <ler4@st-andrews.ac.uk> Twitter: @ProcrastinatehD School of Biology, University of St. Andrews Sir Harold Mitchell Building, St. Andrews, Fife KY16 9TH U.K. The University of St Andrews is a charity registered in Scotland (SC013532)