The rapidly growing capabilities of modern sensor technology combined with AI technologies now make it technically possible to capture biosignals in real time and use them to develop biosignal-adaptive systems. However, as the processing chain of biosignals is complex, the challenge is to ensure transparency and replicability. We consider the pursuit of an open science paradigm to be particularly promising to address this challenge. In 2023, we presented the initial concept of the HUman BIosignal Intelligence Platform (HUBII) at NeuroIS. Over the last year, we have piloted HUBII as part of a capstone semester project in a lecture. We received valuable comments and suggestions for improvement from the pilot users. Thus, we are proposing HUBII 2.0 with an updated architecture following the Open Science paradigm. HUBII 2.0 serves as a central entry point for biosignal intelligence and provides easy discoverability of biosignal pipelines through a systematic classification along the dimensions of human activity, sensor, device and biosignal. Furthermore, it supports referencing of citable pipelines using existing infrastructures such as Hugging Face.