LakeBeD-US: Computer Science Edition (Hugging Face)
Benchmark dataset harmonizing 500M+ lake water quality observations across 17 variables (chlorophyll a, DO, total phosphorus, DRP, phycocyanin, temperature, fDOM) from 21 US lakes monitored by NTL-LTER, NEON and Niwot Ridge LTER. Apache Parquet files.
huggingface.co
At a glance
- Region
- United States (North America)
- Coverage
- Regional (US lakes)
- Access
- Free
- Category
- Academic
- Last updated
- 2025
What's inside
- Water Quality
- Lakes
- Chlorophyll
- Nutrients
- Dissolved Oxygen
- Benchmark Dataset
Terms explained
What you can do with it
Typical work that data of this type supports.
- 01
Hotspots and trends
Find where contamination is high and whether it is getting worse.
Because it has: Water Quality
- 02
Compliance checks
Compare samples against drinking water and discharge standards.
- 03
Storage tracking
Follow storage and releases through the season.
Because it has: Lakes
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Risk maps
Predict contamination where no samples exist, from geology, land use and climate.
- 02
Anomaly alerts
Catch sudden spikes in sensor or lab data automatically.
- 03
Storage from space
Estimate volume from satellite water area and altimetry.
Machine access and documentation
Open API
Hugging Face datasets API / direct Parquet download
Licence: Open data
Listed in our registry of open water APIs, which WaterDataGPT can query live.
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- Eyes on the Bay - Maryland Continuous MonitoringNorth America | Free
- GCOOS ERDDAP (Gulf of Mexico Coastal Ocean Observing)North America | Free
- NERACOOS ERDDAP - Gulf of Maine Coastal Water QualityNorth America | Free
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