Gothic, Colorado · 9,500 ft

We build tools for environmental
discovery and foresight.

Open data platforms, software libraries, forecasting tools, and live monitoring services for long-term ecological research at Rocky Mountain Biological Laboratory and beyond.

Forecasting

Putting the data to work.

Tools that combine the long-term record with current-year observations to forecast the season ahead. Aimed at researchers, land managers, and the public.

Learn

Learn the tools.

Recorded webinars, live workshops, and method walkthroughs from the people building these tools.

YouTube playlist Available now

Spatial Data Science Webinar Series

Recorded talks on geospatial data analysis for ecological research, with worked examples drawn from the upper East River watershed.

Watch on YouTube
Workshop series In development

Tools workshops

Hands-on sessions for the Spatial Data Platform, the Knowledge Hub, and the Compute Hub — from first install to a finished analysis.

Coming soon
Tutorial series In development

Field methods

Walkthroughs of sensor deployment, drone survey design, and quality-control workflows for the high alpine.

Coming soon
Partner

Work with Us

Services and partnerships for research groups, agencies, and institutions working at scale in the Gunnison Basin and beyond.

Data Collection

Drone imagery and topographic survey for the upper East River and adjacent watersheds, plus support for field instrumentation — sensor selection, deployment, and ongoing calibration in the high alpine.

Discuss a project →

Curation and Archiving

Help structuring datasets for long-term reuse: metadata standards, format migration, and deposit into the Spatial Data Platform or external domain repositories.

Discuss a project →

Data Synthesis

Partner projects to turn raw observations into data products and mapping tools — from interpolated climate surfaces to species distribution models for the Gunnison Basin.

Discuss a project →
News & releases

Recent updates.

Apr 22, 2026

pySDP enters pre-release

A native Python client for the Spatial Data Platform — feature-complete with rSDP, with lazy reads via xarray, geopandas, and rasterio.

Mar 15, 2026

Bloom forecast goes public for the 2026 season

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.

All news →

About

Built at a field station.

Rocky Mountain Biological Laboratory is an independent, non-profit field research station in Gothic, Colorado, founded in 1928. The tools on this page support some of the longest-running alpine-ecosystem studies in the world — pollinators, wildflowers, climate, snowpack, marmots, and the watershed itself.

The RMBL Data Hub, created with support from the Chrest Foundation and Clark Family Foundation, helps to accelerate research at RMBL and translate a century of environmental knowledge into actionable insights.

We build in the open. Source code lives on GitHub under rmbl-sdp; data flows through public APIs and cloud-hosted object stores; methods and limitations are documented alongside the code. If you use any of these tools in your work, we want to hear about it — Ian Breckheimer (ikb@rmbl.org).