{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Vicente Gomez-Alvarez", "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"}, "description": "An abundance matrix (BM_OTU.xlsx) contains rows as OTU, columns as samples, and entries representing the abundance of each OTU as a ratio of all sequences obtained for each individual sample. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., and R. Revetta. Monitoring of Nitrification in Chloraminated Drinking Water Distribution Systems With Microbiome Bioindicators Using Supervised Machine Learning.   Frontiers in Microbiology. Frontiers, Lausanne,  SWITZERLAND, 11: 2254-2267, (2020).", "distribution": [{"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1369388/BM_OTU.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "BM_OTU.xlsx"}], "identifier": "https://doi.org/10.23719/1369388", "keyword": ["16S rRNA", "OTU", "drinking water", "machine learning", "microbiome", "nitrification", "relative abundance"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2017-07-06", "programCode": ["020:096"], "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/10.3389/fmicb.2020.571009"], "rights": null, "title": "Drinking Water Microbiome OTU Abundance Data Set"}