I'm a big believer in not reinventing the wheel. That's why I love sharing any useful code I've written that may have the potential to make other's lives easier. Below you will find links to my open-sourced repositories hosted on GitHub. I use R coding language and prefer R markdown files. Feel free to use them for your own projects. All I ask is that I receive credit for my work. Thanks!
Each of the items below are clickable and will link you to the public repositories on my GitHub page
BirdNET is a powerful tool developed by Cornell University. It is an AI-powered bird sound identifier. It is designed to perform fairly seamlessly with Raven Pro, Cornell's sound analysis program. For acousticians who are unable to use Raven, I've developed a code that takes CSV outputs from BirdNET and adds additional data (Date, Time, Datetime, Detector ID, etc). Using this code will build a stronger dataset that can be further queried in R. This also ensures that data is ready for analysis. This code can be used on recordings on any device, so long as the file name is in the format of "DetectorID_YMD_HMS"
Similarly, outputs from Kaleidoscope soundscape index analyses need a little processing to be analysis-ready. This code combines all project outputs into a master dataset, creates a DateTime column for graphical and statistical analyses, and formats data to be ready for graphing. This code is designed explicitly for Wildlife Acoustics detectors and may not be appropriate for other brands.
Soundscape Analysis & Rare Bird Detection for Ecoacoustics Projects
(In Development)
I am currently developing code that will allow ecologists working on acoustics project to conduct soundscape analysis and create graphics for species detections at their recording sites. Below is a couple examples of graphics created through this code. Once it is fully written and checked for errors, it will be shared and hosted on my GitHub page.
