A comprehensive time-series dataset linked to cyanobacterial blooms in Lake Taihu
26 variables across water quality, bio-optics, climate, and anthropogenic data for Lake Taihu, China over 15+ years, characterizing cyanobacterial bloom dynamics.
doi.org
At a glance
- Region
- East Asia
- Coverage
- China
- Access
- Free
- Category
- Research
- Last updated
- 2024
What's inside
- Water Quality
- Lakes & Reservoirs
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 & Reservoirs
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
Data paper
A comprehensive time-series dataset linked to cyanobacterial blooms in Lake Taihu
Scientific Data 2024
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- Korea Environment Corporation Water Quality Monitoring (KECO)East Asia | Free
- Taiwan EPA Water Quality MonitoringEast Asia | Free
- A Landsat-derived annual inland water clarity dataset of China between 1984 and 2018East Asia | Free
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