The data set consists of fecal indicator bacteria and microbial source tracking marker concentrations in water and sediments across multiple seasons. Samples were collected during baseflow from a variety of watershed classifications. Portions of this dataset are inaccessible because: Researchers are still working on manuscripts out of this data set and can't be released at this time. They can be accessed through the following means: Contacting corresponding author for product. Format: The data set will contain environmental parameters, fecal indicator bacteria concentrations and DNA source tracking markers. This dataset is associated with the following publication: Bradshaw, J.K., B. Snyder, A. Oladeinde, D. Spidle, M. Berrang, R. Meinersmann, B. Oakley, R. Sidle, K. Sullivan , and M. Molina. Characterizing relationships among fecal indicator bacteria, microbial source tracking markers, and associated waterborne pathogen occurrence in stream water and sediments in a mixed land use watershed. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 101: 498-509, (2016).

Microbial source tracking, fecal indicator, and precipitation data sets. This dataset is associated with the following publication: Shrestha, A., C. Kelty, M. Sivaganesan, O. Shanks, and S. Dorevitch. Fecal pollution source characterization at non-point source impacted beaches under dry and wet weather conditions. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 182: 116014, (2020).

fecal coliform data from the Oregon Dept. of Agriculture from 01/2006-12/2015 collected in Tillamook Bay, OR. This dataset is not publicly accessible because: This data is Oregon Dept. of Agriculture data and not EPA-generated data. It can be accessed through the following means: independent variables used in the model are available on public websites - summarized in table 1 of the paper and associated text. Format: This is Oregon Department of Agriculture data. It is not available to provide a link or file. This dataset is associated with the following publication: Zimmer-Faust, A., C. Brown, and A. Manderson. Statistical models of fecal coliform levels in Pacific Northwest estuaries for improved shellfish harvest area closure decision making. MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 137: 360-369, (2018).

Measurements of Fecal Coliform collected at Sacramento River At Red Bluff Forebay. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

This data set list the distribution of microbial taxa from three sets of sampling campaigns from unit operations in two large desalination facilities in the US conducted between March and May 2021. The desalination plants include the Claude "Bud" Lewis Carlsbad Desalination Plant in Carlsbad, California and the Seater Desalination facility in Tampa Bay, Florida.

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 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.

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.

This data release supports the following publication: Senior, Lisa A., 2017, Estimated Fecal Coliform Bacteria Concentrations Using Near Real-Time Water-Quality and Streamflow Data From Five Stream Sites in Chester County, Pennsylvania, 2007–16: U.S. Geological Survey Scientific-Investigations Report 2017–5075 (https://doi.org/10.3133/sir20175075) The U.S. Geological Survey (USGS), in cooperation with the Chester County Health Department (CCHD) and the Chester County Water Resources Authority (CCWRA), has collected discrete stream samples for analysis of fecal coliform concentrations during March– October annually at or near five gaging stations where near real-time continuous data on stream discharge, turbidity, and water temperature have been collected since 2007 (or since 2012 at 2 of the 5 stations). In 2014, the USGS, in cooperation with the CCWRA and CCHD, began to develop regression equations to estimate fecal coliform concentrations using available near real-time continuous data . Regression equations included possible explanatory variables of stream discharge, turbidity, water temperature, and seasonal factors calculated using Julian Day with base-10 logarithmic (log) transformations of selected variables. Data files in CSV format include datetime, stream discharge, in cubic feet per second, water temperature, in degrees Celsius, fecal coliform bacteria concentrations, in colonies per 100 milliliters, turbidity, in FNU, Julian Day, and calculated or transformed variables of log fecal coliform concentrations, log turbidity, sin(Julian Day/365), and cos(Julian Day/365)]. Data were collected at 5 stream sites, French Creek at Phoenixville Pa., White Clay Creek near Strickersville, Pa., East Branch Brandywine Creek below Downingtown Pa., West Branch Brandywine Creek at Modena Pa., and Brandywine Creek at Chadds Ford, Pa.