{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Vicente Gomez-Alvarez", "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"}, "description": "The EX_Genome_Assemblies.zip file contain the contig sequences (i.e. assembly) of fifteen isolates used for genomic and antibiotic resistance genes (ARG) analysis.\n\nEX_OTU.fasta file contain the sequences of the bacterial 16S rRNA-encoding V4 region gene (\u2248250 nt) for each Operational Taxonomic Unit (OTU). \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., S. Pfaller, J. Pressman, D. Wahman, and R. Revetta. Resilience of microbial communities in a simulated drinking water distribution system subjected to disturbances: role of conditionally rare taxa and potential implications for antibiotic-resistant bacteria.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 2: 645-657, (2016).", "distribution": [{"accessURL": "https://trace.ncbi.nlm.nih.gov/Traces/sra/?study=SRP069876", "title": "https://trace.ncbi.nlm.nih.gov/Traces/sra/?study=SRP069876"}, {"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503390/EX_Genome_Assemblies.zip", "mediaType": "application/x-zip-compressed", "title": "EX_Genome_Assemblies.zip"}, {"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503390/EX_OTU.fasta.zip", "mediaType": "application/x-zip-compressed", "title": "EX_OTU.fasta.zip"}], "identifier": "https://doi.org/10.23719/1503390", "keyword": ["16S rRNA", "Antibiotic Resistance Genes", "Biofilm", "Genomes", "OTU", "drinking water", "microbial communities", "nitrification"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2015-09-22", "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/10.1039/c6ew00053c"], "rights": null, "title": " Resilience of Microbial Communities Sequence Data Set"}