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Samples were collected from Willow Creek Lake approximately monthly during May through September by the Nebraska Department of Environmental Quality as a part of the Ambient Lake Monitoring Program since at least 1989. Lake samples were analyzed for several constituents, including nutrients and chlorophyll. Though several different station identification numbers have been used over the course of monitoring, the general location of sampling corresponds to the deep site referenced in Rus and others (2018).
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This dataset represents ease of access to bottomland areas for vegetation treatments. Access may be by road, 4x4 near road, hike in by field crews or requiring overnight camping or raft access. Access is considered for each side of the river separately.
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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This data set shows the extent of the Colorado River Conservation Planning project bottomland area as delineated by topography and vegetation, The bottomland area is subdivided into 1 km polygons measured from the upstream project boundary. Reach breaks were determined by large topographic shifts and/or tributary junctions by John Dohrenwend. Please see the project report for more details.
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This dataset is based on U.S. Geological Survey (USGS) resource assessments for “undiscovered” natural gas liquid resources, which are resources that have not yet been extensively proven by drilling (USGS 2014). Individual resource assessments describe the amount of petroleum resources in units with similar geologic features. We quantified the density of natural gas liquid resources by adding together the amounts in spatially overlapping assessment units and dividing these totals by polygon areas. Since assessments for geologic areas used in this analysis were completed at various times, the certainty related to these values is likely to vary according to geologic unit. USGS [U.S. Geological Survey]. 2014. Energy...
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This dataset contains chemical and isotopic data from 39 produced water samples collected from sealed separators containing water from horizontal hydrocarbon wells in the lower Eagle Ford Group. The samples were collected from Lavaca and Gonzales counties, Texas in December, 2015. All wells had been in production for longer than 6 months and had produced more than 10,000 barrels (~160,000 liters) of water.
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This data release contains tabular digital data describing calculated hourly back trajectory position coordinates for air masses contributing to five selected precipitation-mercury deposition episodes at National Atmospheric Deposition Program monitoring site IN21 (National Atmospheric Deposition Program, 2017) in southeastern Indiana during 2009‒2015. The air pollution transport and dispersion modeling system HYSPLIT (Stein et. al, 2015) was used to calculate the back trajectory position coordinates during 48 hours preceding the start of each episode. The 40-km gridded input data to HYSPLIT were from National Oceanic and Atmospheric Administration (2017). Continuous, digital precipitation depth data were recorded...
Streamflow and water-quality data collected at the Bogue Phalia near Leland, MS go to: https://www.sciencebase.gov/catalog/item/5d0d2cb7e4b0941bde52a208 for the complete dataset and associated metadata.Possible file types include: aflow.csv: Annual flow data; aloads.csv: Annual water-quality load data; dflow.csv: Daily flow data; discqw.csv: Discrete water-quality results; mflow.csv: May flow data; mloads.csv: May water-quality load data; pestlong.csv: Pesticide abbreviations, long names, USGS parameter codes, and (CAS) numbers; pestsamp.csv: Discrete pesticide results
Categories: Data
Streamflow and water-quality data collected at the Yazoo River below Steele Bayou near Long Lake, MS go to: https://www.sciencebase.gov/catalog/item/5d0d2cb7e4b0941bde52a208 for the complete dataset and associated metadata.Possible file types include: aflow.csv: Annual flow data; aloads.csv: Annual water-quality load data; dflow.csv: Daily flow data; discqw.csv: Discrete water-quality results; mflow.csv: May flow data; mloads.csv: May water-quality load data; pestlong.csv: Pesticide abbreviations, long names, USGS parameter codes, and (CAS) numbers; pestsamp.csv: Discrete pesticide results
Categories: Data
Streamflow and water-quality data collected at the Mississippi River near St. Francisville, LA go to: https://www.sciencebase.gov/catalog/item/5d0d2cb7e4b0941bde52a208 for the complete dataset and associated metadata.Possible file types include: aflow.csv: Annual flow data; aloads.csv: Annual water-quality load data; dflow.csv: Daily flow data; discqw.csv: Discrete water-quality results; mflow.csv: May flow data; mloads.csv: May water-quality load data; pestlong.csv: Pesticide abbreviations, long names, USGS parameter codes, and (CAS) numbers; pestsamp.csv: Discrete pesticide results
Categories: Data
Streamflow and water-quality data collected at the Atchafalaya River at Melville, LA go to: https://www.sciencebase.gov/catalog/item/5d0d2cb7e4b0941bde52a208 for the complete dataset and associated metadata.Possible file types include: aflow.csv: Annual flow data; aloads.csv: Annual water-quality load data; dflow.csv: Daily flow data; discqw.csv: Discrete water-quality results; mflow.csv: May flow data; mloads.csv: May water-quality load data; pestlong.csv: Pesticide abbreviations, long names, USGS parameter codes, and (CAS) numbers; pestsamp.csv: Discrete pesticide results
Categories: Data
Streamflow and water-quality data collected at the Rio Grande near Brownsville, TX go to: https://www.sciencebase.gov/catalog/item/5d0d2cb7e4b0941bde52a208 for the complete dataset and associated metadata.Possible file types include: aflow.csv: Annual flow data; aloads.csv: Annual water-quality load data; dflow.csv: Daily flow data; discqw.csv: Discrete water-quality results; mflow.csv: May flow data; mloads.csv: May water-quality load data; pestlong.csv: Pesticide abbreviations, long names, USGS parameter codes, and (CAS) numbers; pestsamp.csv: Discrete pesticide results
Categories: Data
Streamflow and water-quality data collected at the Jordan River at Salt Lake City, UT go to: https://www.sciencebase.gov/catalog/item/5d0d2cb7e4b0941bde52a208 for the complete dataset and associated metadata.Possible file types include: aflow.csv: Annual flow data; aloads.csv: Annual water-quality load data; dflow.csv: Daily flow data; discqw.csv: Discrete water-quality results; mflow.csv: May flow data; mloads.csv: May water-quality load data; pestlong.csv: Pesticide abbreviations, long names, USGS parameter codes, and (CAS) numbers; pestsamp.csv: Discrete pesticide results
Categories: Data
Streamflow and water-quality data collected at the Sacramento River at Freeport, CA go to: https://www.sciencebase.gov/catalog/item/5d0d2cb7e4b0941bde52a208 for the complete dataset and associated metadata.Possible file types include: aflow.csv: Annual flow data; aloads.csv: Annual water-quality load data; dflow.csv: Daily flow data; discqw.csv: Discrete water-quality results; mflow.csv: May flow data; mloads.csv: May water-quality load data; pestlong.csv: Pesticide abbreviations, long names, USGS parameter codes, and (CAS) numbers; pestsamp.csv: Discrete pesticide results
Categories: Data
Linked ScienceBase releases and items identified in the Chesapeake Data Catalog (available from https://doimspp.sharepoint.com/sites/GS-Chesapeake-Data)
Categories: Data
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These data are bathymetry (river bottom elevation) in XYZ format, generated from the March 29-30, 2017 and April 13, 2017, bathymetric survey of the East Fork White River at Columbus, Indiana. The bathymetry was collected from approximately the confluence of Driftwood and Flatrock rivers, downstream to the confluence of Haw Creek. Hydrographic data were collected using an acoustic Doppler current profiler (ADCP) with integrated Differential Global Positioning System (DGPS). Data were collected as the surveying vessel traversed the river, approximately perpendicular to the velocity vectors at 55 cross sections which were spaced 200 feet apart along the river. Additional cross sections were collected upstream and...
map background search result map search result map ADMMR Photo Archive file: Christmas Mine 22-11 RosemontExploration2006 015 ADMMR Photo Archive file: Treasure Chest 190-16 ADMMR Photo Archive file: Twin Buttes Mine 190-48 Conservation Planning for the Colorado River in Utah - Access to the Site for Relative Cost of Restoration Model Bathymetry on the East Fork White River at Columbus, Indiana, March 29-30 and April 13, 2017 Temperature (Mean: Annual) - 2020-2050 - RCP4.5 - Max Undiscovered Natural Gas Liquids Colorado Plateau Calculated back trajectory coordinates for air masses contributing to five selected precipitation-mercury deposition episodes at a National Atmospheric Deposition Program monitoring site in southeastern Indiana during 2009 to 2015 Conservation Planning for the Colorado River in Utah - Bottomland Boundary of the Colorado River Divided at Homogeneous River Reaches Monitoring Data for Willow Creek Lake, Nebraska, 2012–14—Lake Chemistry Chemical and isotopic composition of produced waters from the lower Eagle Ford Group, south-central Texas ADMMR Photo Archive file: Twin Buttes Mine 190-48 ADMMR Photo Archive file: Christmas Mine 22-11 ADMMR Photo Archive file: Treasure Chest 190-16 Bathymetry on the East Fork White River at Columbus, Indiana, March 29-30 and April 13, 2017 Monitoring Data for Willow Creek Lake, Nebraska, 2012–14—Lake Chemistry Conservation Planning for the Colorado River in Utah - Access to the Site for Relative Cost of Restoration Model Conservation Planning for the Colorado River in Utah - Bottomland Boundary of the Colorado River Divided at Homogeneous River Reaches Chemical and isotopic composition of produced waters from the lower Eagle Ford Group, south-central Texas Undiscovered Natural Gas Liquids Colorado Plateau Calculated back trajectory coordinates for air masses contributing to five selected precipitation-mercury deposition episodes at a National Atmospheric Deposition Program monitoring site in southeastern Indiana during 2009 to 2015 Temperature (Mean: Annual) - 2020-2050 - RCP4.5 - Max