{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Jingrang Lu", "hasEmail": "mailto:lu.jingrang@epa.gov"}, "description": "(1) qPCR and RT-qPCR for cyanotoxin producing genes, and (2) some water quality parameters. \n\nThis dataset is associated with the following publication:\nDuan, X., C. Zhang, I. Struewing, X. Li, H. Allen, and J. Lu. Cyanotoxin-encoding genes as powerful predictors of cyanotoxin production during harmful cyanobacterial blooms in an inland freshwater lake: Evaluating a novel early-warning system.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 830: 154568, (2022).", "distribution": [{"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524256/2016_Harsha_EPA_Datasheet.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "2016_Harsha_EPA_Datasheet.xlsx"}], "identifier": "https://doi.org/10.23719/1524256", "keyword": ["cyanobacteria", "Microcystis", "microcystins", "qPCR/RT-qPCR", "Early warning system", "nutrients"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2021-10-31", "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/10.1016/j.scitotenv.2022.154568"], "rights": null, "title": "2016_Harsha_EPA_Dataset"}