A large spill of wastewater from oil and gas operations was discovered adjacent to Blacktail Creek near Williston, North Dakota in January 2015. To determine the effects of this spill on streambed microbial communities over time, bed sediment samples were taken from Blacktail Creek upstream, adjacent to, and at several locations downstream from the spill site. Blacktail Creek is a tributary of the Little Muddy River, and additional samples were taken upstream and downstream from the confluence of Blacktail Creek and the Little Muddy River. Samples were collected in February 2015, June 2015, June 2016, and June 2017. DNA was extracted from these sediments, and sequencing of the 16S ribosomal RNA gene was performed to enable analysis of the microbial community structure. Raw sequence data was processed, and taxonomy was assigned based on the Silva 132 database (Yilmaz et al, 2014) using the MOTHUR software package (Schloss et al, 2009). Raw sequence data are available from GenBank at https://www.ncbi.nlm.nih.gov/bioproject/PRJNA666160.

A large spill of wastewater from oil and gas operations was discovered adjacent to Blacktail Creek near Williston, North Dakota in January 2015. To determine the effects of this spill on streambed microbial communities over time, bed sediment samples were taken from Blacktail Creek upstream, adjacent to, and at several locations downstream from the spill site. Blacktail Creek is a tributary of the Little Muddy River, and additional samples were taken upstream and downstream from the confluence of Blacktail Creek and the Little Muddy River. Samples were collected in February 2015, June 2015, June 2016, and June 2017. DNA was extracted from these sediments, and sequencing of the 16S ribosomal RNA gene was performed to enable analysis of the microbial community structure. Raw sequence data was processed, and taxonomy was assigned based on the Silva 132 database (Yilmaz et al, 2014) using the MOTHUR software package (Schloss et al, 2009). Raw sequence data are available from GenBank at https://www.ncbi.nlm.nih.gov/bioproject/PRJNA666160.

In order to determine the innate microbial community of shale gas reservoirs and how they are impacted by hydraulic fracturing, this study analyzed biomass collected from produced water and rock from hydraulically fractured wells in the Utica Shale. The samples include rock chips from a drill core from one Utica well, produced water from that same Utica well, and produced water from 12 different Utica wells that had been in production between 1-5 years, spanning the oil and gas windows of SE Ohio. The samples were filtered for biomass, extracted, amplified, and 16S rRNA gene sequencing was performed on the Illumina MiSeq platform.

Oil and gas (OG) wastewaters are commonly disposed of by underground injection and previous research showed that activities at a disposal facility in West Virginia affected stream biogeochemistry and sediment microbial communities downstream from the facility. Microorganisms can control the fate and transport of organic and inorganic components of OG wastewater highlighting the need to characterize the effects of OG wastewater components on microbial activity. We conducted a series of aerobic microcosm experiments to assess the influence of high total dissolved solids (TDS) and hydraulic fracturing fluid additives (2,2-dibromo-3-nitrilopropionamide (DBNPA), a biocide, and ethylene glycol, an anti-scaling additive), on microbial community structure and function. Microcosms were constructed with sediment from upstream (background) or downstream (impacted) from the disposal facility in West Virginia and four treatment conditions each with heat-killed controls were tested: 1) brine (high TDS) + DBNPA, 2) brine + ethylene glycol, 3) brine, and 4) unamended control. Microbial terminal electron accepting processes were monitored over time and changes in microbial community composition were characterized. Over the course of the incubation, the sediment layer in the microcosms became anoxic, and addition of DBNPA was observed to inhibit iron reduction.

This metadata record describes data collected from laboratory experiments designed to characterize the microbial processes that contribute to clogging (i.e., bioclogging) of wells used for recharge (i.e., injection) of fresh surface water into specific aquifer zones (Upper Floridan Aquifer [UFA] and Avon Park Permeable Zone [APPZ]) as part of water storage technology of aquifer storage and recovery (ASR). Solid rock core samples were collected from three wells (ASRC38S, ASRL63S and ASRC59; abbreviated to C38S, L63S, and C59 henceforth) near Lake Okeechobee, Florida, that have been designated as injection well sites for ASR wells as part of the Comprehensive Everglades Restoration Plan, on July 22, 2022 (C38S/UFA), May 22, 2023 (C38S/APPZ), July 7, 2023 (L63S/UFA), July 13, 2023 (L63S/APPZ) and November 15, 2023 (C59/UFA and C59/APPZ). The cores were crushed and sieved to a specific size, and this sized material was used to pack four columns: two columns for each well and aquifer storage zone (e.g., C38S/UFA and C38S/APPZ) (ATSM International, 2020; Rinck-Pfeiffer and others, 2000). Within each set of paired columns, one column was allowed to be colonized by native groundwater microbial communities (i.e., C38S/UFA Biofilm Positive column) by being connected to a continuously flowing source of native groundwater, either the UFA or APPZ, depending on the source of the packed core materials, for between two and four months. Prior to starting each experiment, pressure sensors were inserted into each column (Rinck-Pfeiffer and others, 2000). Each experiment was initiated by respectively pumping native groundwater from the UFA or APPZ into the UFA/Biofilm Positive and Negative and APPZ/Biofilm Positive and Negative columns for one week to geochemically condition the columns before starting the recharge phases of the experiments. Water collected from the Kissimmee River confluence with Lake Okeechobee was used as the recharge source water and was pumped through both the UFA Biofilm Positive and Negative and APPZ Biofilm Positive and Negative columns. During each experiment, pressure data in kilopascals (kPa) were recorded at specific locations along the vertical axis of all columns (Rinck-Pfeiffer and others, 2000). Additionally, pump rates into the columns were closely maintained at 5.00 milliliters per minute (mL/min). These data were used to calculate the hydraulic conductivity (meters/day) for all experiments (Sanchez-Vila and others, 2006). In addition to column pressure and flow rate data being collected, samples were also collected from native groundwater sources, Kissimmee River and from the column inputs, discharges and porewater after a static storage period for geochemistry, nutrients, dissolved gases, and organic carbon substrates to characterize microbial community preferential growth rates on selected organic carbon substrates.

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.

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.

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.

Private wells (n = 138) were sampled by large- and small-volume sampling methods in Grant, Iowa, and Lafayette Counties, Wisconsin, USA in 2019 and 2020. Well water samples were analyzed for microorganisms by quantitative polymerase chain reaction at the Laboratory for Infectious Disease and the Environment (LIDE). Gene targets for viruses, bacteria, and protozoa were analyzed, including pathogens and microbial source tracking markers. Data were collected to characterize microbial contamination of private well water to better understand water quality and potential causes of contamination. Collaborators include U.S. Department of Agriculture-Agricultural Research Service; Wisconsin Geological and Natural History Survey; and Grant, Iowa, and Lafayette Counties, Wisconsin.