Published July 16, 2026
| Version v3
Dataset
Open
Probability detection of harmful algae blooms
Authors/Creators
- 1. Nansen Environmental and Remote Sensing Center (NERSC)
Description
The probability of detecting toxic algae reaching above regulatory levels in surface waters for a given temperature, mixed layer depth, salinity, and photosynthetic available radiation. Probability is estimated using machine learning models. The toxic algae are: Alexandrium spp., Alexandrium tamarense group, Dinophysis acuta, and Azadinium spinosum.
Files
Files
(3.0 GB)
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Additional details
Related works
- Is published in
- Publication: 10.1017/eds.2024.11 (DOI)
Funding
Dates
- Created
-
2025
Software
- Repository URL
- https://doi.org/10.5281/zenodo.10671482
- Programming language
- Python
References
- Silva, E., Brajard, J., Counillon, F., Pettersson, L. H., & Naustvoll, L. (2024). Probabilistic models for harmful algae: application to the Norwegian coast. Environmental Data Science, 3. https://doi.org/10.1017/eds.2024.11