The U.S. Geological Survey is investigating sources of fecal bacteria in streams in the Grand Valley of western Colorado by using quantitative polymerase chain reaction microbial source tracking (MST) markers. The CowM2 MST marker was not detected in water-quality samples collected in 2022, which raised questions about the use of the marker for investigations in western Colorado. The presence or absence of bacteria associated with MST markers can be affected by geographic location, animal health, and diet. Known-source cattle fecal samples were collected in the Grand Valley to determine the presence or absence of the CowM2 marker in the feces of local cattle. A total of five samples were collected, representing herds grazing on public lands and local farms.

These data describe microbiological analyses performed on groundwater samples from domestic drinking water supply collected from 42 groundwater wells in the Central Valley of California. Samples were collected between January 2014 and April 2014 for the Groundwater Ambient Monitoring and Assessment (GAMA) program priority basin assessment of the Madera, Chowchilla, and Kings (MACK) groundwater sub-basins’ shallow aquifers. A total of 75 wells were sampled for the MACK study unit between August 2013 and April 2014. Samples for this dataset were vacuum filtered and plated on MI and mEI agars prior to incubation to promote colony growth. Colonies were tallied by their species into columns for various fecal indicator bacteria (FIBs): total coliforms (TCs), Escherichia coli (E. coli), enterococci. Non-target growths were also counted and tallied. Six additional replicate samples were collected for quality assurance. Of the 579 total FIB colonies detected, 106 were selected for polymerase chain reaction (PCR) analysis with the goal of sequencing their DNA. Selected colonies consisted of both target and non-target growths and were taken from 14 samples collected at 13 different wells. DNA sequencing was successful for 34 of the sampled colonies out of a total of 59 submitted. Results for these analyses were reported in FASTA format with the number of bases and their starting position indicated for each batch.

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.

Surface water samples (n = 33) were collected in fall of 2023 at stream sites in Scott County Iowa, USA and were analyzed for microbial source tracking markers by quantitative polymerase chain reaction at the Laboratory for Infectious Disease and the Environment (LIDE). Microbial source tracking markers identify fecal sources of contamination by detecting microbes that are specific to certain animals. Cooperators include Partners of Scott County Watersheds, Prairie Rivers of Iowa, and U.S. Department of Agriculture-Agricultural Research Service.

The dataset includes Escherichia coli concentrations in water and sediment collected by James Fluke in the Middle Rio Grande in Albuquerque, NM, from 2017 to 2018. These data are a subset from the study found at https://digitalrepository.unm.edu/ce_etds/209.

The dataset includes Escherichia coli concentrations in water and sediment collected by James Fluke in the Middle Rio Grande in Albuquerque, NM, from 2017 to 2018. These data are a subset from the study found at https://digitalrepository.unm.edu/ce_etds/209.

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.

The dataset includes bacteria concentrations and microbial source indicator concentrations collected by Daniel B. Stephens and Associates, Inc. on behalf of the City of Albuquerque in the Middle Rio Grande in Albuquerque, NM, in 2018. These data are a subset of data from the City of Albuquerque, 2019, FY19 MS4 Annual Report: Microbial Source Tracking Study, p. 464-621, accessed November 30, 2021 at https://documents.cabq.gov/municipal-development/city-of-albuquerque-fy19-ms4-annual-report-nmr04A014.pdf

The dataset includes Escherichia coli concentrations in water and sediment collected by James Fluke in the Middle Rio Grande in Albuquerque, NM, from 2017 to 2018. These data are a subset from the study found at https://digitalrepository.unm.edu/ce_etds/209.