This repository contains the raw data and analysis scripts supporting the associated publication which introduces a framework to help researchers select fit-for-purpose microbial cell counting methods and optimize protocols for quantification of microbial total cells and viable cells. Escherichia coli cells were enumerated using four methods (colony forming unit assay, impedance flow cytometry - Multisizer 4, impedance flow cytometry - BactoBox, and fluorescent flow cytometry - CytoFLEX LX) and repeated on multiple dates. The experimental design for a single date starts with a cell stock that is divided into 18 sample replicates (3 each for 6 different dilution factors), and each sample is assayed one or two times for a total of 30 observations. Raw data files are provided from the Multisizer 4 (*.#m4) and CytoFLEX LX (*.fcs 3.0). The colony forming unit assay and BactoBox readings are recorded for each date as are the derived results from the Multisizer 4 and CytoFLEX LX. Also provided are an example analysis script for the *.fcs files and the statistical analysis that was performed.

This dataset contains data tables of laboratory quality-control data associated with environmental samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory of the U.S. Geological Survey (USGS). The environmental samples were collected across the United States by USGS National Projects and projects in Water Science Centers. These quality-control data can be used to assess the quality of microbiological data for the associated environmental samples.

This dataset contains data tables of laboratory quality-control data associated with environmental samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory of the U.S. Geological Survey (USGS). The environmental samples were collected across the United States by USGS National Projects and projects in Water Science Centers. These quality-control data can be used to assess the quality of microbiological data for the associated environmental samples.

This dataset contains data tables of laboratory quality-control data associated with environmental samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory of the U.S. Geological Survey (USGS) during federal fiscal years 2012-2017 (October 1, 2011 through September 30, 2017). The environmental samples were collected across the United States by the USGS National Water Quality Assessment Project and other projects in Water Science Centers. The microbiological constituents include total coliforms, Escherichia coli (E. coli), enterococci, coliphage (F-specific and somatic), aerobic endospores, and actinomycetes. These quality-control data can be used to assess the quality of microbiological data for the associated environmental samples.

This dataset contains data tables of laboratory quality-control data associated with environmental samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory of the U.S. Geological Survey (USGS) during federal fiscal years 2012-2017 (October 1, 2011 through September 30, 2017). The environmental samples were collected across the United States by the USGS National Water Quality Assessment Project and other projects in Water Science Centers. The microbiological constituents include total coliforms, Escherichia coli (E. coli), enterococci, coliphage (F-specific and somatic), aerobic endospores, and actinomycetes. These quality-control data can be used to assess the quality of microbiological data for the associated environmental samples.

This repository contains raw and intermediate data files as well as analysis code from the manuscript "Evaluating the Analytical Performance of Direct-to-Consumer Gut Microbiome Testing Services". In this analysis a pilot version of the homogenized whole human stool reference material was submitted as a sample to commercial direct to consumer microbiome testing companies. In addition, NIST conducted in house characterization by 16S amplicon sequencing and whole metagenomic sequencing (WMS) on the same sample. Raw sequencing data from the sequencing providers was not obtained for this study; however sequencing files (fastq) both 16S amplicon sequencing analysis and whole metagenomic sequencing (WMS) conducted at NIST are included. In addition, the fastq files from other donors that contributed to the pilot material and included in this analysis to represent biological diversity are also included in this record.

This repository contains raw and intermediate data files as well as analysis code from the manuscript ?Evaluating the Analytical Performance of Direct-to-Consumer Gut Microbiome Testing Services?. In this analysis a pilot version of the homogenized whole human stool reference material was submitted as a sample to commercial direct to consumer microbiome testing companies. In addition, NIST conducted in house characterization by 16S amplicon sequencing and whole metagenomic sequencing (WMS) on the same sample. Raw sequencing data from the sequencing providers was not obtained for this study; however sequencing files (fastq) both 16S amplicon sequencing analysis and whole metagenomic sequencing (WMS) conducted at NIST are included. In addition, the fastq files from other donors that contributed to the pilot material and included in this analysis to represent biological diversity are also included in this record.

The dataset includes Escherichia coli concentrations collected by Isleta Pueblo in the Middle Rio Grande in Albuquerque, NM, from 2017 to 2020. These data were pulled from National Water Quality Monitoring Council, 2021, Water Quality Portal, accessed December 5, 2021, at https://www.waterqualitydata.us.

The dataset includes Escherichia coli concentrations collected by Isleta Pueblo in the Middle Rio Grande in Albuquerque, NM, from 2017 to 2020. These data were pulled from National Water Quality Monitoring Council, 2021, Water Quality Portal, accessed December 5, 2021, at https://www.waterqualitydata.us.