The BIOAMLA project is a collection of resources for introductory topics in bioacoustics, sound processing, and machine learning.

• Steele Creek Park Wetlands, Bristol, TN 2023 : This audio dataset contains 2822 wav/mp3 files collected from five locations in Steele Creek Park from Feb. through Sept. 2023.
• Braulio Carillo National Park/ La Selva Research Station, Costa Rica 2024 : This audio dataset contains 601 wav/mp3 files (600 hours) collected from five locations at Braulio Carillo National Park, Costa Rica from July 9th - 24th, 2024.

• Using PyINaturlist To Retrieve Data Collected at La Selva
• Wave File Dissection (Basics)
• Testing GPU Capabilities for PyTorch

• Streamlit App for Audio Classification Using AST

Supplementary code examples are being developed to demonstrate bioacoustics and machine learning techniques using Python / Jupyter notebooks. These xamples will run best on a GPU equipped device. Code has been tested on Ubuntu 22.04.5 LTS and Python 3.11.9 using both Nvidia GTX 1660Ti 6GB and RTX 4060 Ti 8GB GPUs.

This repository is currently a work in progress with mutiple updates through Fall 2024 and Spring 2025. Check back for updates.

• The Frogs of Steele Creek Park (GitHub)

• Thank you to The Friends of Steele Creek Nature Center and Park for grant support for the 2023 SCP Wetlands project. (Friends of SCP)
• Thank you to the staff at The Organization for Tropical Studies and La Selva Research Station for guidance and administrative support while collecting data in 2024. (OTS/OET)