Data set contains water quality measurements and survival of fathead minnow from in situ and laboratory bioassay exposures to wastewater from a spill on Blacktail Creek, North Dakota, USA

This dataset is composed of a single data table containing survival data and ancillary measurements for brook trout bioassays conducted in streams of the Western Adirondack Mountains during 2001-03 and 2015-17. At each stream site, 4 replicate bottles, each containing five young-of-year brook trout, are exposed to ambient stream waters for approximately one month during spring.

This dataset is composed of a single data table containing survival data and ancillary measurements for brook trout bioassays conducted in streams of the Western Adirondack Mountains during 2001-03 and 2015-17. At each stream site, 4 replicate bottles, each containing five young-of-year brook trout, are exposed to ambient stream waters for approximately one month during spring.

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.

This data release provides water chemistry results and quality assurance data for samples collected from Great Lakes tributaries in the states of Minnesota, Wisconsin, Michigan, Indiana, Ohio, and New York. In total, 158 chemicals were analyzed which are primarily pharmaceuticals. Between one and four water samples were collected at 37 sampling locations between November 2017 and July 2018 resulting in a total of 87 environmental, 95 field replicate, and 15 field blank samples. Of the 158 chemicals analyzed, 23 chemicals were detected in at least one regular sample. Detections per site ranged from 0 to 12 chemicals at concentrations of 1.56 to 30900 nanograms per liter. Sample collection and analysis was performed by the U.S. Geological Survey and summarized in the associated journal article (https://doi.org/10.1002/etc.5403). More detailed method descriptions will be published in the future.

This data release provides water chemistry results and quality assurance data for samples collected from Great Lakes tributaries in the states of Minnesota, Wisconsin, Michigan, Indiana, Ohio, and New York. In total, 158 chemicals were analyzed which are primarily pharmaceuticals. Between one and four water samples were collected at 37 sampling locations between November 2017 and July 2018 resulting in a total of 87 environmental, 95 field replicate, and 15 field blank samples. Of the 158 chemicals analyzed, 23 chemicals were detected in at least one regular sample. Detections per site ranged from 0 to 12 chemicals at concentrations of 1.56 to 30900 nanograms per liter. Sample collection and analysis was performed by the U.S. Geological Survey and summarized in the associated journal article (https://doi.org/10.1002/etc.5403). More detailed method descriptions will be published in the future.

This dataset describes (a) concentrations of nutrients and related constituents, and (b) discharge in the lower Boise River (Idaho) and its primary tributaries for Water Years 1994 through 2023 and 1969 through 2024, respectively. Constituents include water column concentrations of suspended sediment, total phosphorus, dissolved phosphorus, orthophosphate as phosphorus, total nitrogen, nitrite and nitrate as nitrogen, ammonia and ammonium as nitrogen, Escherichia coli (E. coli) bacteria, and total coliform bacteria; and concentrations of periphyton biomass and chlorophyll a on submerged rocks. Sites with water quality and periphyton results include five mainstem Boise River locations (at Eckert Road, Glenwood Bridge, Middleton, Caldwell, and Parma) and nine tributary locations (Conway Gulch, Dixie Drain, Fivemile Creek, Tenmile Creek, Fifteenmile Creek, Indian Creek at its mouth and upstream at Caldwell, Mason Creek, and Mill Slough. Data are also reported for Sand Hollow Creek, which is not a tributary to the Boise River but is generally considered to be part of the lower Boise River system. Discrete and daily mean discharge data are also provided, when available. This dataset is a compilation of water quality and discharge data from different entities including the U.S. Geological Survey, U.S. Bureau of Reclamation, Idaho Department of Water Resources, City of Boise, and Idaho Power Company. The sampling agency and collection and analysis methods are described in the Processing Steps section of the metadata.

The study focussed on the estuarine portion of the Swan-Canning River system, WA using the black bream (Acanthopagrus butcheri), an estuarine dependent fish species, as a biomonitoring tool. Prior to the commencement of this study it had been determined that the black bream was a suitable fish species for use as a biomonitoring tool when using mixed function oxygenase (MFO) activity induction under laboratory conditions. Biopsies taken from feral black bream collected from eight sites during the period 2000 to 2002 from the estuary confirmed that the use of MFO induction in this fish species as a biomarker of exposure to organic contaminants is a reliable biomarker.

Data from sampling black bream from four sites in late winter 2000 and late winter 2002 in addition to five sites during summer 2001 and summer 2002 from the Swan-Canning Estuary are compared to determine whether patterns of responses within the estuary were sufficiently strong to overcome natural annual variability.