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FreeResearchUnited States, North America

GLOS Seagull (Great Lakes Observing System)

Great Lakes Observing System's Seagull platform aggregates near-real-time and archived buoy and sensor observations across all five Great Lakes: water and air temperature, waves, currents, dissolved oxygen, conductivity, pH, chlorophyll, and other water-quality and weather parameters, plus model forecasts.

seagull.glos.org

At a glance

Region
United States (North America)
Coverage
Regional (Great Lakes, US/Canada binational)
Access
Free
Category
Research

What's inside

  • Water Quality
  • Water Temperature
  • Waves
  • Currents
  • Meteorology

What you can do with it

Typical work that data of this type supports.

  1. 01

    Hotspots and trends

    Find where contamination is high and whether it is getting worse.

    Because it has: Water Quality

  2. 02

    Compliance checks

    Compare samples against drinking water and discharge standards.

  3. 03

    Risk screening

    Screen projects and assets for climate risk.

    Because it has: Water Temperature

Where AI adds value

Ideas for machine learning and AI agents built on this kind of data.

  1. 01

    Risk maps

    Predict contamination where no samples exist, from geology, land use and climate.

  2. 02

    Anomaly alerts

    Catch sudden spikes in sensor or lab data automatically.

  3. 03

    Bias correction

    Correct and downscale climate model output for a site.

Machine access and documentation

Open API

Machine-readable endpoint on seagull-api.glos.org

Licence: Open data

Listed in our registry of open water APIs, which WaterDataGPT can query live.

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