Deep Learning for Water Quality
Description
Streamflow data (Fig. 1a) from the Global Streamflow Indices and Metadata Archive (GSIM) were compiled from repositories at https://doi.org/10.1594/PANGAEA.887477 and https://doi.org/10.1594/PANGAEA.887470. Water-quality data (Fig. 1b) from the Global River Water Quality Archive (GRQA) were downloaded from https://doi.org/10.5281/zenodo.7056647.
This dataset is associated with the following publication:
Zhi, W., A. Appling, H. Golden, J. Podgorski, and L. Li. Deep Learning for Water Quality. Nature Water. Nature Portfolio, Berlin, GERMANY, 2: 228–241, (2024).
Resources
| Name |
Format |
Description |
Link |
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0 |
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https://doi.org/10.1594/PANGAEA.887477 |
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0 |
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https://doi.org/10.1594/PANGAEA.887470 |
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0 |
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https://doi.org/10.5281/zenodo.7056647 |
Tags
- modeling
- deep-learning
- water-quality
- machine-learning