Biological endpoints for three focal test species [Daphnia magna (mortality), Psuedacris maculata (mortality, growth, and development), and Lemna gibba (growth)] in response to exposure to reconstituted or field-collected water under laboratory conditions. Field-collected waters were collected from wetlands within the Prairie Pothole Region (PPR) of the United States. Reconstituted water was mixed to mimic some chemistry of surface water from brine contaminated PPR wetlands. Also included are water quality and chemical concentration data from all assays.

The data presented include concentrations of 10 metals in sediments and composite larval amphibian tissues from 20 wetlands across the United States. Sixteen of the wetlands were sampled in 2019 and four were sampled in 2015-2016. Where possible both larval anurans (frogs and toads) and salamanders were collected from each wetland. The data also include information on metal concentrations in amphibian tissues after the gut contents were removed to understand metal bioaccumulation potential and the molar ratio of selenium to mercury in each tissue composite sample. This data release supports the following publication: Smalling, K.L., Oja, E.B., Cleveland, D.M., Davenport, J.M., Eagles-Smith, C., Grant, E.H.C., Kleeman, P.M., Halstead, B.J., Stemp, K.M., Tornabene, B.J., Bunnell, Z.J. and Hossack, B.R., 2021, Metal accumulation varies with life history, size, and development of larval amphibians: Environmental Pollution, https://doi.org/10.1016/j.envpol.2021.117638.

The data presented include concentrations of 10 metals in sediments and composite larval amphibian tissues from 20 wetlands across the United States. Sixteen of the wetlands were sampled in 2019 and four were sampled in 2015-2016. Where possible both larval anurans (frogs and toads) and salamanders were collected from each wetland. The data also include information on metal concentrations in amphibian tissues after the gut contents were removed to understand metal bioaccumulation potential and the molar ratio of selenium to mercury in each tissue composite sample. This data release supports the following publication: Smalling, K.L., Oja, E.B., Cleveland, D.M., Davenport, J.M., Eagles-Smith, C., Grant, E.H.C., Kleeman, P.M., Halstead, B.J., Stemp, K.M., Tornabene, B.J., Bunnell, Z.J. and Hossack, B.R., 2021, Metal accumulation varies with life history, size, and development of larval amphibians: Environmental Pollution, https://doi.org/10.1016/j.envpol.2021.117638.

Multiple sources of mine drainage including discharge from the abandoned Dinero mine tunnel and two gulches flow into a wetland, known herein as the Dinero wetland along the Lake Fork Creek corridor. The Dinero wetland is approximately 20 acres in extent. The Dinero wetland is being considered as a location for passive treatment of the mine drainage flowing through it. As such, study objectives are to understand: (1) variations in pH, specific conductance, and temperature in surface water in the wetland; (2) metal loading into and out of the wetland; (3) the configuration of surface drainage features; (4) the configuration of subsurface conductive features; and (4) depth to bedrock in the wetland. These data will be used to help understand whether the wetland is currently and naturally treating the mine drainage flowing through it and will help pinpoint locations needing additional investigations to help inform potential passive treatment scenarios. Salt tracer 'slug' injection data were collected to develop a longitudinal profile of streamflow along the Lake Fork Creek study reach (September 2024). Streamflow estimates were determined at seven locations using data from sodium chloride slug additions. Specific conductivity readings downstream of each addition were used as a surrogate for chloride concentration and streamflow estimates were subsequently obtained using the tracer dilution method.

As part of the Great Lakes Restoration Initiative, the U.S. Department of Agriculture, Natural Resources Conservation Service; U.S. Environmental Protection Agency; and the U.S. Geological Survey (USGS) have partnered to evaluate the impacts of implementing agricultural conservation practices focused on nutrient management. Monitoring methods have been designed to allow for rapid assessment of water-quality changes in response to conservation efforts by focusing on subsurface-tile drainage and direct surface runoff from fields—the major pathways for nonpoint-source pollution to enter streams. Monitoring stations were established at the field edge that measured runoff volume and enabled the collection of samples that were analyzed for nitrate plus nitrite, ammonia, total Kjeldahl nitrogen, orthophosphate, total phosphorus, suspended sediment, and chloride. Samples were collected by use of an autosampler and sampling was triggered to capture most events throughout a USGS water year (October 1 to September 30). Event samples were combined into flow-weighted composite samples as described in Stuntebeck and others, 2008. Baseflow samples were collected either through the autosampler or as a grab sample direct from the flume. Daily loads were computed using the USGS Graphical Constituent Loading Analysis System (GCLAS; Koltun and others, 2006). GCLAS requires a discharge hydrograph and chemograph as data input; the output is a computed daily load for the given constituent. Since the estimated daily load is based on composite concentrations for individual events, they may not reflect the true daily value, and Sciencebase is being used to provide the final load estimates to be able to explicitly link these estimates to relevant reports and external resources describing their derivation. The total of the daily loads over the course of the event, however, likely reflects the total load for the event, and the estimated loads given in the data table provided are identified using corresponding USGS National Water Information System parameter codes. Estimated daily loads presented within this dataset are from one surface-runoff monitoring station (USGS station identification number 405051083391201; approximated drainage area of 3.5 hectare) and one tile-runoff monitoring station (USGS station identification number 405051083391001; approximated drainage area of 2.1 hectare). The monitored field is a row-crop parcel planted in a biennial corn-soybean crop rotation. The field naturally slopes inwards, and is drained by a 0.14 ha grassed waterway. A nutrient management plan was employed in 2016. Koltun, G.F., Eberle, M., Gray, J.R., Glysson, G.D., 2006, User's manual for the Graphical Constituent Loading Analysis System (GCLAS), U.S. Geological Survey Techniques and Methods, 4-C1, 51 p. Stuntebeck, T.D., Komiskey, M.J., Owens, D.W., Hall, D.W., 2008, Methods of data collection, sample collection, and data analysis for edge-of-field, streamgaging, subsurface-tile, and meteorological stations at Discovery Farms and Pioneer Farms in Wisconsin, 2001–07: U.S. Geological Survey Open-File Report 2008–1015, 51 p.

As part of the Great Lakes Restoration Initiative, the U.S. Department of Agriculture, Natural Resources Conservation Service; U.S. Environmental Protection Agency; and the U.S. Geological Survey (USGS) have partnered to evaluate the impacts of implementing agricultural conservation practices focused on nutrient management. Monitoring methods have been designed to allow for rapid assessment of water-quality changes in response to conservation efforts by focusing on subsurface-tile drainage and direct surface runoff from fields—the major pathways for nonpoint-source pollution to enter streams. Monitoring stations were established at the field edge that measured runoff volume and enabled the collection of samples that were analyzed for nitrate plus nitrite, ammonia, total Kjeldahl nitrogen, orthophosphate, total phosphorus, suspended sediment, and chloride. Samples were collected by use of an autosampler and sampling was triggered to capture most events throughout a USGS water year (October 1 to September 30). Event samples were combined into flow-weighted composite samples as described in Stuntebeck and others, 2008. Baseflow samples were collected either through the autosampler or as a grab sample direct from the flume. Daily loads were computed using the USGS Graphical Constituent Loading Analysis System (GCLAS; Koltun and others, 2006). GCLAS requires a discharge hydrograph and chemograph as data input; the output is a computed daily load for the given constituent. Since the estimated daily load is based on composite concentrations for individual events, they may not reflect the true daily value, and Sciencebase is being used to provide the final load estimates to be able to explicitly link these estimates to relevant reports and external resources describing their derivation. The total of the daily loads over the course of the event, however, likely reflects the total load for the event, and the estimated loads given in the data table provided are identified using corresponding USGS National Water Information System parameter codes. Estimated daily loads presented within this dataset are from one surface-runoff monitoring station (USGS station identification number 405051083391201; approximated drainage area of 3.5 hectare) and one tile-runoff monitoring station (USGS station identification number 405051083391001; approximated drainage area of 2.1 hectare). The monitored field is a row-crop parcel planted in a biennial corn-soybean crop rotation. The field naturally slopes inwards, and is drained by a 0.14 ha grassed waterway. A nutrient management plan was employed in 2016. Koltun, G.F., Eberle, M., Gray, J.R., Glysson, G.D., 2006, User's manual for the Graphical Constituent Loading Analysis System (GCLAS), U.S. Geological Survey Techniques and Methods, 4-C1, 51 p. Stuntebeck, T.D., Komiskey, M.J., Owens, D.W., Hall, D.W., 2008, Methods of data collection, sample collection, and data analysis for edge-of-field, streamgaging, subsurface-tile, and meteorological stations at Discovery Farms and Pioneer Farms in Wisconsin, 2001–07: U.S. Geological Survey Open-File Report 2008–1015, 51 p.

The groundwater, surface water, and lake water-quality data were compiled from Water Quality Portal (https://www.waterqualitydata.us/) (National Water Quality Monitoring Council, 2015), USGS’s NAWQA Project’s data compilation (Oelsner and others, 2017), and the Montana Bureau of Mines and Geology (Montana Bureau of Mines, 2021), The compilation contains data for chloride, pH, specific conductance, sulfate, total dissolved solids (TDS) collected between water year 1970 to 2014. In addition 10 metals (aluminum, arsenic, barium, chromium, copper, iron, lead, selenium strontium, and zinc) analyzed during water years 1993 through 2014.

The groundwater, surface water, and lake water-quality data were compiled from Water Quality Portal (https://www.waterqualitydata.us/) (National Water Quality Monitoring Council, 2015), USGS’s NAWQA Project’s data compilation (Oelsner and others, 2017), and the Montana Bureau of Mines and Geology (Montana Bureau of Mines, 2021), The compilation contains data for chloride, pH, specific conductance, sulfate, total dissolved solids (TDS) collected between water year 1970 to 2014. In addition 10 metals (aluminum, arsenic, barium, chromium, copper, iron, lead, selenium strontium, and zinc) analyzed during water years 1993 through 2014.

This data release contains five datasets that were used in a Scientific Investigations Report to be published in 2018. These datasets are continuous temperature data, temperature profiles data, SPMD environmental concentration data in picograms per liter of water, SPMD environmental concentration data in nanograms per SPMD, and SPMD quality-control concentration data. SPMD Environmental Concentration, Continuous Temperature and Temperature Profile: Semipermeable membrane devices (SPMDs) and Onset Computer Corporation® TidbiT v2 temperature loggers were deployed together at 8 locations within southern Lake Powell to collect water concentrations of polycyclic aromatic hydrocarbons (PAHs) and to collect continuous water temperature data. At these locations, the instruments were either deployed on a fixed dock, a buoy, or a floating dock. Listed below are the 8 locations that the SPMDs and the continuous temperature sensors were deployed. The PAH environmental concentration data are reported in both the original units, as nanograms per SPMD (ng/SPMD) and converted to a concentration in picograms per liter of water (pg/L). Temperature profile data were collected at all 8 locations. This data was collected during deployment and retrieval of the SPMDs by using a Sea-Bird Electronics, Inc., model SBE25 CTD profiler™. • Antelope Marina (USGS 365759111254700); Fixed Dock • Dangling Rope Marina (USGS 370708111045100); Fixed Dock • Lone Rock Beach (USGS 370107111320500); Buoy • Padre Bay near Dominquez Butte (USGS 370321111171700); Buoy • Rainbow Bridge National Monument (USGS 370506110581600); Fixed Dock • Stateline Marina (USGS 370031111300100); Fixed Dock • Wahweap Marina (USGS 365933111285200); Fixed Dock • Warm Creek Bay (USGS 370333111262700); Floating Dock SPMD environmental concentration data, and continuous temperature data were collected during the time periods listed below. Temperature profile data were collected at the time of deployment and the time of retrieval of the SPMDs. • June 21, 2016 (deployment date) to July 20, 2016 (retrieval date) • April 18, 2017 (deployment date) to May 16, 2017 (retrieval date) • June 29, 2017 (deployment date) to July 26, 2017 (retrieval date) SPMD Quality-control Concentrations: The following are the different types of quality-control data that were collected during the duration of this study: • Field Replicates • Field Blanks • Laboratory Blanks • Laboratory Fabrication Blanks • Laboratory Matrix Spikes • Performance Reference Compounds • Photolysis Marker