 The Automated Remote Biodiversity Monitoring Network, ARBAMAN, is a novel combination of hardware and software that automates data acquisition, management, and species identification based on audio recordings, using a solar-powered remote monitoring station that sends one-minute recordings every 10 minutes to a base station, which relays the recordings in real-time to the project server for processing and uploading to the project website. The system includes a module for viewing, listening, and annotating recordings, as well as a species identification interface to help users create machine learning algorithms to automate species identification and presents data on vocal activity patterns of birds, frogs, insects, and mammals from Puerto Rico and Costa Rica. This article was authored by T. Mitchell-Ade, Carlos Caradabrabo, Marconi Campo Cirqueira, and others.