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This paper describes the seven pilot applications deployed on the OneSciencePlace (OSP) pilot platform to demonstrate the platform's support for the four primary research-computing interaction modes: interactive notebooks, batch submission, terminal access, and graphical desktop applications. For each app we describe its purpose, the audience it targets, the OSP capabilities it demonstrates, and the prospective-user scenarios it is designed to support during evaluation.

The pilot app set is deliberately curated rather than exhaustive: it covers Jupyter notebooks across four analytical domains, RStudio tutorials for applied statistics, a form-driven Monte Carlo batch app, two browser-based terminal variants, and two graphical scientific tools (ParaView and QGIS). Each app runs on modest CPU-only resources and completes its representative workflow in under a minute, enabling reliable live-demo scenarios.

This guide is intended as accompanying material for OSP pilot evaluations — prospective users, their institutional sponsors, and reviewers can use it to understand what each pilot app demonstrates and how it maps to their own computational needs.