These five datasets document 1. physical and chemical soil properties for mesocosm soil that was collected from an experimental vegetated buffer strip plot; 2. Corrected final data for veterinary antibiotic target compound residues in treated soil mesocosms at various incubation times; 3. Corrected final data for all veterinary antibiotic target compound residues in untreated soil mesocosm blank samples at various incubation times; 4. Corrected final data for estrogen target compound residues in treated soil mesocosms at various incubation times; and 5. Corrected final data for all estrogen target compound residues in untreated soil mesocosm blank samples at various incubation times.

Vegetative buffer strips have been demonstrated to effectively reduce loads of sediment, nutrients, and herbicides in surface runoff, but their effectiveness for reducing veterinary antibiotic loads in runoff has not been well documented. Surface runoff simulation where performed to determine the effectiveness of Vegetative buffer strips vegetation and width on surface runoff loads of the veterinary antibiotics sulfamethazine and lincomycin. The three datasets in this release document 1. physical and chemical soil properties for soil located on experimental vegetated buffer strip plots prior to surface runoff simulations; 2. Rainfall simulator performance data and antecedent soil water content data for all vegetated buffer strip plots during the surface runoff simulations; and 3. Surface water hydrology data collected for determining veterinary antibiotic residue load concentrations and suspended sediment load concentrations in all vegetated buffer strip plots during rainfall simulations.

These data represent surface water and bed sediment samples analyzed for a variety of organic compounds. The samples were collected in streams and rivers in the Chesapeake Bay watershed from 2012-2018. Sites were located in Maryland, Pennsylvania, and West Virginia. Surface water samples were collected from 25 sites and analyzed for estrogenicity and an extensive suite of organic contaminants including hormones, pharmaceuticals, wastewater indicators, pesticides, phytoestrogens, and mycotoxins. Bed sediment samples were collected from 20 sites and analyzed for a suite of organic contaminants including hormones, wastewater indicators, pesticides, and organohalogens. Bed sediment was also analyzed for total organic carbon. Data also include replicate and blank quality assurance samples. This U.S. Geological Survey (USGS) data release contains daily-mean streamflow and water-quality data in the Chesapeake Bay watershed ranging from 2012 to 2018 (beginning and end dates may vary).

These data represent surface water and bed sediment samples analyzed for a variety of organic compounds. The samples were collected in streams and rivers in the Chesapeake Bay watershed from 2012-2018. Sites were located in Maryland, Pennsylvania, and West Virginia. Surface water samples were collected from 25 sites and analyzed for estrogenicity and an extensive suite of organic contaminants including hormones, pharmaceuticals, wastewater indicators, pesticides, phytoestrogens, and mycotoxins. Bed sediment samples were collected from 20 sites and analyzed for a suite of organic contaminants including hormones, wastewater indicators, pesticides, and organohalogens. Bed sediment was also analyzed for total organic carbon. Data also include replicate and blank quality assurance samples. This U.S. Geological Survey (USGS) data release contains daily-mean streamflow and water-quality data in the Chesapeake Bay watershed ranging from 2012 to 2018 (beginning and end dates may vary).

The U.S. Geological Survey, in cooperation with the Minnesota Pollution Control Agency, conducted a study to determine the occurrence of micropollutants in: (1) shallow groundwater near large subsurface treatment systems and rapid infiltration basins and (2) shallow groundwater and soil from an agricultural field that land applies domestic wastewater. Water samples were analyzed with enzyme linked immunosorbent assay (ELISA) methods at the U.S. Geological Survey Minnesota Water Science Center for carbamazepine and sulfamethoxazole. These data support the following publication: Krall, A.L., Elliott, S.M., Erickson, M.L., and Adams, B.A., 2018, Detecting sulfamethoxazole and carbamazepine in groundwater: Is ELISA a reliable screening tool?, Environmental Pollution, 234, p. 420-428. doi:10.1016/j.envpol.2017.11.065.

The U.S. Geological Survey, in cooperation with the Minnesota Pollution Control Agency, conducted a study to determine the occurrence of micropollutants in: (1) shallow groundwater near large subsurface treatment systems and rapid infiltration basins and (2) shallow groundwater and soil from an agricultural field that land applies domestic wastewater. Water samples were analyzed with enzyme linked immunosorbent assay (ELISA) methods at the U.S. Geological Survey Minnesota Water Science Center for carbamazepine and sulfamethoxazole. These data support the following publication: Krall, A.L., Elliott, S.M., Erickson, M.L., and Adams, B.A., 2018, Detecting sulfamethoxazole and carbamazepine in groundwater: Is ELISA a reliable screening tool?, Environmental Pollution, 234, p. 420-428. doi:10.1016/j.envpol.2017.11.065.

This USGS data release contains station and laboratory method information and geospatial information, as well as concentration results for inorganic and organic compounds and bioluminescent yeast estrogen screen and transgenic zebrafish embryo estrogren bioassay, analyzed at 38 sites in 25 states as part of the Chemical Mixtures and Environmental Effects Pilot Study, 2012-2014.

This USGS data release contains station and laboratory method information and geospatial information, as well as concentration results for inorganic and organic compounds and bioluminescent yeast estrogen screen and transgenic zebrafish embryo estrogren bioassay, analyzed at 38 sites in 25 states as part of the Chemical Mixtures and Environmental Effects Pilot Study, 2012-2014.

The data included here were gathered to determine the effects of cattle grazing on wetland water quality in the Klamath National Wildlife Refuge in Oregon. Surface water samples from sites representing a range of grazing histories were collected between June and October in 2017 and 2018. Samples were analyzed for nutrients (ammonia, nitrate plus nitrite, nitrite, and orthophosphate), total coliforms, E. coli, enterococci, and estrogenicity by U.S. Geological Survey laboratories. Basic water quality parameters such as temperature, pH, turbidity and specific conductance were also collected in the field during each site visit. Quality assurance samples (blanks and replicates) as well as method information is also included in the data release.

The data included here were gathered to determine the effects of cattle grazing on wetland water quality in the Klamath National Wildlife Refuge in Oregon. Surface water samples from sites representing a range of grazing histories were collected between June and October in 2017 and 2018. Samples were analyzed for nutrients (ammonia, nitrate plus nitrite, nitrite, and orthophosphate), total coliforms, E. coli, enterococci, and estrogenicity by U.S. Geological Survey laboratories. Basic water quality parameters such as temperature, pH, turbidity and specific conductance were also collected in the field during each site visit. Quality assurance samples (blanks and replicates) as well as method information is also included in the data release.