{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Heather Golden", "hasEmail": "mailto:golden.heather@epa.gov"}, "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. \n\nThis dataset is associated with the following publication:\nZhi, W., A. Appling, H. Golden, J. Podgorski, and L. Li. Deep Learning for Water Quality.   Nature Water. Nature Portfolio, Berlin,  GERMANY, 2: 228\u2013241, (2024).", "distribution": [{"accessURL": "https://doi.org/10.1594/PANGAEA.887470", "title": "https://doi.org/10.1594/PANGAEA.887470"}, {"accessURL": "https://doi.org/10.1594/PANGAEA.887477", "title": "https://doi.org/10.1594/PANGAEA.887477"}, {"accessURL": "https://doi.org/10.5281/zenodo.7056647", "title": "https://doi.org/10.5281/zenodo.7056647"}], "identifier": "https://doi.org/10.23719/1530707", "keyword": ["Deep learning", "machine learning", "modeling", "water quality"], "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html", "modified": "2024-03-12", "programCode": ["020:000"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.1038/s44221-024-00202-z", "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11151732"], "rights": null, "title": "Deep Learning for Water Quality"}