RMBL Scientific Computing Hub

A cloud environment for environmental data analysis and visualization

Sign In

Log in with your GitHub account to launch a notebook server.

Getting Started

  • Choose a server profile (Small, Medium, Large, or GPU)
  • Your home directory (50 GB) persists across sessions
  • Idle servers are automatically shut down after 1 hour

Available Tools

  • JupyterLab — Python notebooks and terminal
  • RStudio — Full R IDE via launcher
  • Geospatial stack — GDAL, Xarray, Dask, GeoPandas
  • S3 data access — ~6 TB CHESS dataset (read-only)

Documentation

Operated by the Rocky Mountain Biological Laboratory  |  CHESS Project  |  Contact: [email protected]