Detailed description of the service 

When performing experiments, scientific staff often works collaboratively and on multiple machines (computers, servers). We have developed a prototypical solution that uses virtual environments and containers to improve collaboration in experimental work. The environments are created with well-known and popular tools like Conda and Pip, offering flexibility and scalability. The use-case is cavitation experiments in which the primary data are snapshots created with a high resolution, high frequency camera, leading to data sizes of about 1TB. Using virtual environments and containerization ensures smoother collaboration, allowing the scientific staff to maintain consistency.