This dataset presents the results of passive water sampling conducted at 2 sites in 2013 and 3 sites in 2014 in Lake Mead National Recreational Area. Polar Organic Chemical Integrative Samplers (POCIS) and Semipermeable Membrane Devices (SPMDs) were deployed in Las Vegas Bay and Overton Arm in 2013 and Las Vegas Bay, Boulder Basin, and Overton Arm in 2014. The samplers were analyzed for concentrations of polychlorinated biphenyls (PCBs), organochlorines (DDT-type compounds and their degradates), polybrominated biphenyl ethers (PBDEs), polycyclic aromatic hydrocarbons (PAHs), waste indicators (WW), and yeast estrogen screen (YES) by the U.S. Geological Survey (USGS) at the Columbia Environmental Research Center (CERC) in Columbia, Missouri. Data are presented in a spreadsheet with 5 worksheets containing site information and analyte results.

This dataset presents the results of analysis of aquatic biota tissue samples, collected at 2 sites (Las Vegas Bay and Overton Arm) in 2013 and 2 sites (Las Vegas Bay, Boulder Basin, and Overton Arm) in 2014 in Lake Mead National Recreational Area. The tissue samples were analyzed for concentrations of more than 250 compounds and congeners of polychlorinated biphenyls (PCBs), organochlorine pesticides (DDT and its degradates), wastewater chemicals, and polybrominated diphenyl ethers (PBDEs) by the U.S. Geological Survey (USGS) at the Columbia Environmental Research Center (CERC) in Columbia, Missouri. Analysis methods include low-resolution, high-resolution, and full spectrum mass spectrometry and high-resolution gas chromatography. Data are presented in a spreadsheet with 15 worksheets containing analyte results and quality control information and a summary table suitable for principal component analysis (PCA).

This data release presents the results of analyses of biota and water samples collected on multiple dates from 2007 to 2014 at 3 locations in Lake Mead National Recreation Area. Data are presented in 3 spreadsheets containing sample analyses for (1) stable isotopes in biota (2007-2014), (2) synthetic organic compounds in biota (2013-2014), and (3) synthetic organic compounds in water (2013-2014)

This data release presents the results of analyses of biota and water samples collected on multiple dates from 2007 to 2014 at 3 locations in Lake Mead National Recreation Area. Data are presented in 3 spreadsheets containing sample analyses for (1) stable isotopes in biota (2007-2014), (2) synthetic organic compounds in biota (2013-2014), and (3) synthetic organic compounds in water (2013-2014)

This dataset presents the results of analysis of aquatic biota tissue samples, collected over multiple sampling events from in from 2007 to 2014 at three sites (Las Vegas Bay, Overton Arm, and Boulder Basin) in Lake Mead National Recreational Area. The tissue samples were analyzed for concentrations of Carbon 13 and Nitrogen 15 isotopes by the University of California, Davis in Davis, California. Data are presented in 1 spreadsheet worksheet that is organized by year, location, and taxa. General trophic level (Vander Zanden and Rasmussen, 1999) and calculations of benthic reliance (Umek and others, 2010) also are included. Combined data from sampling events in 2007 and 2008 previously were published in Umek and others, 2010. Common species names are used in the spreadsheet and scientific names can be found in the metadata.

This dataset presents the results of analysis of aquatic biota tissue samples, collected over multiple sampling events from in from 2007 to 2014 at three sites (Las Vegas Bay, Overton Arm, and Boulder Basin) in Lake Mead National Recreational Area. The tissue samples were analyzed for concentrations of Carbon 13 and Nitrogen 15 isotopes by the University of California, Davis in Davis, California. Data are presented in 1 spreadsheet worksheet that is organized by year, location, and taxa. General trophic level (Vander Zanden and Rasmussen, 1999) and calculations of benthic reliance (Umek and others, 2010) also are included. Combined data from sampling events in 2007 and 2008 previously were published in Umek and others, 2010. Common species names are used in the spreadsheet and scientific names can be found in the metadata.

The data presented include concentrations of 122 organic, 23 inorganic constituents, and estrogenicity in water collected from 13 off-stream non-point source sites (natural and created wetlands) and eight on-stream point source sites (streams and impoundments) in the New Jersey Pinelands, 2017-2020. Native and non-native fish health data collected from the on-stream sites as well as native frog data collected from the off-stream sites are also included. For the on-stream point-source component, we analyzed water chemistry, hormone activity, and collected native and non-native fish from two locations upstream and one downstream from two municipal wastewater treatment plants (six total sites) and from two minimally impacted locations to serve as reference conditions. For the off-stream non-point source component, we analyzed water chemistry, hormone activity, and collected Green Frogs (Lithobates clamitans) from eight stormwater basins and ponds embedded in altered landscapes and five ponds surrounded by forest land to serve as reference sites. Animals were assessed histologically for measures of endocrine disruption and surface water was analyzed for hormone activity and known or suspected endocrine disrupting compounds (EDCs) including hormones, phytoestrogens, waste indicator compounds and some metals.

This data set contains the concentration results for water- and sediment-quality and tissue samples, as well as associated quality-assurance data, collected at sampling locations located in the Rocky Mountain National Park, Colorado. Samples were collected between 2012 and 2013. Samples were analyzed for nutrients, hormones, pharmaceutical, wastewater indicator compounds and pesticides, at the U.S. Geological Survey, National Water Quality Laboratory and the Organic Chemistry Research Laboratory, Sacramento, California. Bioassay analyses were performed at the National Fish Health Laboratory in Kearneysville, West Virginia. Data is also archived in the National Water Information System database (https://waterdata.usgs.gov/nwis).

This data set contains the concentration results for water- and sediment-quality and tissue samples, as well as associated quality-assurance data, collected at sampling locations located in the Rocky Mountain National Park, Colorado. Samples were collected between 2012 and 2013. Samples were analyzed for nutrients, hormones, pharmaceutical, wastewater indicator compounds and pesticides, at the U.S. Geological Survey, National Water Quality Laboratory and the Organic Chemistry Research Laboratory, Sacramento, California. Bioassay analyses were performed at the National Fish Health Laboratory in Kearneysville, West Virginia. Data is also archived in the National Water Information System database (https://waterdata.usgs.gov/nwis).

The Marcellus Shale Energy and Environmental Laboratory (MSEEL) field site in Morgantown, WV was established by West Virginia University in order to increase understanding of factors that affect resource recovery and environmental impacts from unconventional oil and gas development. The site, which is located in the Morgantown Industrial Park (MIP) adjacent to the Monongahela River, includes one well pad which hosts four horizontal gas wells that target the Marcellus Shale approximately 7400 ft below ground level. As part of the MSEEL study, the MIP 5H well was drilled in 2015. Water samples were collected from the holding pond used to hydraulically fracture the MIP 5H well (API 47-061-01699), and a time series of produced water samples were collected from the MIP 5H separator tank starting in 2016 when the well was opened for flowback and ending in 2019. This data release includes semi-quantitative analysis of polycyclic aromatic hydrocarbons (PAHs) identified in these water samples as well as a list of non-target compounds that were identified via gas chromatograph-mass spectrometry analysis and subsequent spectral matching against mass spectral libraries.