The RMBL Data Hub is live
data.rmbl.org is open to everyone — a single home for tools and data to accelerate environmental science in the upper East River watershed.
Releases, methods notes, and field updates from the people building these tools.
data.rmbl.org is open to everyone — a single home for tools and data to accelerate environmental science in the upper East River watershed.
A guide to the RMBL Knowledge Commons for the research community — what the platform offers, how to use it in your work, and how community curation keeps it trustworthy.
A guide to the Spatial Data Platform and its new no-code browser — how to discover, visualize, and extract from the catalog, and how the browser hands off to the rSDP and pySDP packages.
A tour of the RMBL Compute Hub — a shared, browser-based JupyterLab/RStudio environment that runs in the cloud next to the data, with the whole RMBL geospatial stack preinstalled.
A native Python client for the Spatial Data Platform — feature-complete with rSDP, with lazy reads via xarray, geopandas, and rasterio.
A weekly map of wildflower bloom probability for fourteen species across the upper East River watershed, built from long-term phenology records and current-year climate.
Hybrid keyword and semantic search across five decades of RMBL-affiliated science, plus 1,400 grey-literature documents and 1,200 datasets.