Code, teaching materials, datasets, and reproducible research from the Department of Earth, Environmental, and Planetary Sciences (EEPS) at Washington University in St. Louis.
From the ground beneath our feet to worlds across the solar system, EEPS takes on questions ranging from the origins of life and Earth's deep interior to contaminant transport in natural systems and the search for ancient water on Mars. We use quantitative methods, geospatial tools, and AI and machine learning to interpret satellite data and sensor networks. This organization is where that work, and the courses that teach it, live in the open.
- Earth Data Challenge — students take on real research questions with satellite and environmental data. Start with the intro notebooks and research demos.
- Courses — assignments, templates, and example notebooks (e.g. EEPS 3230 Biogeochemistry).
- Tools — reusable software developed in EEPS, such as llm-skills.
Many research repositories stay private while work is in progress; the pinned repositories below are the best place to start.
Members of EEPS and collaborators can request access: → Request membership — include your GitHub username and your role (faculty, student, staff, collaborator). An administrator will send an invitation.
- Clear, descriptive names (e.g.
course-eeps3230-2026,edc-research-demos) - A
README.mdin every repo - Documented data sources and dependencies
- Pull requests over direct commits to
main
