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In the ever-evolving landscape of blockchain technologies the ability to establish and run experiments on different typologies of local networks is a challenge. The project addresses this by introducing a system that allows user to quickly setup and visualize local Proof of Work (PoW) Ethereum (ETH) networks on Raspberry Pis (RPIs). The report introduces the reader to the concept and use case of RPIs, the characteristics of Ethereum blockchains, and the general topic of blockchain technology. It describes the requirements and discusses the design and implementation of the server-client system. The system was evaluated on several runs for grid, star and circle topologies with 3 up to 9 RPIs showcasing the consensus degradation at varying levels of delays.

COCOPREND: COde of COnduct for PREclinical Neuroimaging Data.

COCOPREND compiles and distills resources to facilitate responsible and ethical use, sharing and management of preclinical (animal) neuroimaging data. This data code of conduct is elaborated by the Center for Reproducible Science (CRS) of the University of Zurich. This website is meant to be a living document that is regularly edited and updated by the community.

Signal detection theory analyses were performed in R to assess participants' landmark and route knowledge acquisition during a real-world navigation experiment.