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These data were compiled as part of a long-term (1964 - 2022) water quality monitoring program at Lake Powell. Objectives of our study were to release a consistent record of long-term water quality data. The 58-year limnology dataset captures some water quality parameters (temperature, salinity, major ions, total suspended solids) from reservoir filling to present day. It also contains a 38-year record of secchi depth, and a ~30-year record of nutrients, phytoplankton, and zooplankton assemblages. The data were collected from various sites within the Lake Powell reservoir and the Glen Canyon dam. Regular monthly sampling occurred at three sites near the dam and reservoir-wide sampling was generally conducted quarterly,...
Categories: Data, Data Release - Revised; Tags: Arizona, Aztec Creek, Bridge Creek, Cathedral Canyon, Clear Creek, All tags...
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Floods, spatially complex water flows, and organism movements all generate important fluxes of aquatic-derived materials into terrestrial habitats, counteracting the gravity-driven downhill transport of matter from terrestrial-to-aquatic ecosystems. The magnitude of these aquatic subsidies isoften smaller than terrestrial subsidies to aquatic ecosystems but higher in nutritional quality, energy density, and nutrient concentration. The lateral extent of biological aquatic subsidies is typically small, extending only a few meters into riparian habitat; however, terrestrial consumers often aggregate on shorelines to capitalize on these high-quality resources. Although the ecological effects of aquatic subsidies remain...
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How local geomorphic and hydrologic features mediate the sensitivity of stream thermal regimes to variation in climatic conditions remains a critical uncertainty in understanding aquatic ecosystem responses to climate change. We used stable isotopes of hydrogen and oxygen to estimate contributions of snow and rainfall to 80 boreal streams and show that differences in snow contribution are controlled by watershed topography. Time series analysis of stream thermal regimes revealed that streams in rain-dominated, low-elevation watersheds were 5–8 times more sensitive to variation in summer air temperature compared to streams draining steeper topography whose flows were dominated by snowmelt. This effect was more pronounced...
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This U.S. Geological Survey (USGS) data release provides water-quality data collected from the Caloosahatchee River and 12 fiberglass tanks located within the Caloosahatchee River. The tanks were open to the atmosphere, and were closed to the river. Tanks were filled with native water within 1-2 hours prior to the first profile collected on May 6, July 8, and September 16. Nutrients were added at approximately 12:00 p.m. on May 6, 11:45 a.m. on July 8, and 11:00 a.m. on September 16. Sodium nitrate was added for the nitrate treatments, sodium phosphate was added for the phosphate treatments, and ammonium hydroxide was added for the ammonium treatments. Nutrient samples were collected and processed by Nova Southeastern...
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Ecosystem metabolism is a measure of energy flow in terrestrial and aquatic environments that quantifies a balance between the rate of biomass production by photosynthesizing plants and the rate of biomass oxidation by respiring plants and animals to maintain and build living biomass. It is therefore a fundamental measure of ecosystem function that quantifies the balance between the rate of production, maintenance, and decay of organic matter. It also provides an understanding of energy flow to higher trophic levels that supports food webs with secondary and tertiary productivity. Furthermore, metabolism helps explain when aquatic ecosystems undergo out-of-balance behaviors such as hypoxia. Recent advances in sensor...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This map shows specific water-quality items and hydrologic data site information which come from QWDATA (Water Quality) and GWSI (Ground Water Information System). Both QWDATA and GWSI are subsystems of NWIS (National Water Inventory System)of the USGS (United States Geologic Survey). This map is for Davis County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This map shows specific water-quality items and hydrologic data site information which come from QWDATA (Water Quality) and GWSI (Ground Water Information System). Both QWDATA and GWSI are subsystems of NWIS (National Water Inventory System)of the USGS (United States Geologic Survey). This map is for Grand County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This map shows specific water-quality items and hydrologic data site information which come from QWDATA (Water Quality) and GWSI (Ground Water Information System). Both QWDATA and GWSI are subsystems of NWIS (National Water Inventory System)of the USGS (United States Geologic Survey). This map is for Tooele County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/
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Water depth and turbidity time-series data were collected in Little Holland Tract (LHT) from 2015 to 2017. Depth (from pressure) was measured in high-frequency (6 or 8 Hz) bursts. Burst means represent tidal stage, and burst data can be used to determine wave height and period. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site. The calibration and fit parameters for all of the turbidity sensors used in the study are tabulated and provided with the data. Data were sequentially added to this data release as they were collected and post-processed. Typically, each zip folder for a deployment period contains one file from an optical backscatter...
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Files contain hydrodynamic and sediment transport data for the location and deployment indicated. Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised to check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment...
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Files contain hydrodynamic and sediment transport data for the location and deployment indicated. Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised to check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment...
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Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised to check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment times vary. Marsh sediment transport experiment at China Camp - deployment of December 2014...
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This data provides an estimated raster surface of dissolved oxygen values across a region covered by an August 26, 2016 AUV survey. The raster was generated by using a natural neighbors interplator within a GIS on the empirical data set. This interpolator was chosen due to the non-normal distribution observed among the data, and its ability to produce smoother approximations than alternative interpolation methods. There are three files available for download in the 'Attached Files' section below. There is a zip file which contains the interpolated dissolved oxygen surface, an xml file which contains metadata, and a layer file which can be used to import the layer's symbology.
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Navajo Reservoir on the San Juan River serves as a water storage, flood control and power generation project for the San Juan River Basin. Because of deep hypolimnetic release from the dam, water temperatures are cooler than natural pre-dam conditions. Post-dam release water temperatures during the summer months are 4-8 �C (39-46 �F) as compared to pre-dam temperatures of 20-25 �C (68-77 �F). Colder water temperatures from the dam to Shiprock (~80 mile; 129 km downstream of the dam) may negatively impact survival of native fish species living below the dam but benefit the tail-water trout fishery (Vanicek, 1967; Holden, 1973; USBR, 2003). Colorado pikeminnow and razorback sucker are endangered fish species native...
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This data release includes comma-delimited datafiles (.CSV files) and geospatial datasets (GIS shapefile and raster datasets) from a survey of lake-bottom temperatures using a Fiber-Optic Distributed Temperature Sensing (FO-DTS) system in May 2007. The distribution of lakebed temperatures was determined over an 18-hour period in May 2007 using a LIOS fiber-optic distributed temperature sensing (FO-DTS) system (LIOS Technology, Cologne, Germany) connected to a 1000-m-long fiber cable shielded with rubberized armoring. The FO-DTS system measures temperature by means of optical fibers that function as linear sensors of temperature dependent laser light backscatter, producing temperature values to an accuracy of 0.01oC...
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This data release contains six zipped raster files of aerial thermal infrared (TIR) images of the South Loup River, North Loup River, and Dismal River named as LowerSouthLoup_AerialTIRImage_1m_2015.zip, MiddleSouthLoup_AerialTIRImage_50cm_2015.zip, UpperSouthLoup_AerialTIRImage_30cm_2015.zip, LowerDismal_AerialTIRImage_1m_2016.zip, UpperDismal_AerialTIRImage_50cm_2015.zip, and NorthLoup_AerialTIRImage_1m_2016.zip. This data release also includes a Reconn_Temperature_Gradient_X_sections.zip file which contains three ASCII comma separated values files with stream reconnaissance data which include stream temperature, streambed temperature, and vertical hydraulic gradient. This dataset also includes a Focused_discharge_points.zip...
This data release component contains water temperature predictions in 118 river catchments across the U.S. Predictions are from the four models described by Rahmani et al. (2020): locally-fitted linear regression, LSTM-noQ, LSTM-obsQ, and LSTM-simQ.
The data in the csv and text files provided in this release are an update to the data tables originally published in USGS Open-File Report (OFR) 83-250 (https://doi.org/10.3133/cir892). Those data were published as paper tables and have until now only been available as pdf image documents that were not machine readable. USGS OFR 83-250 presented data for 2071 geothermal sites which are representative of 1168 low-temperature geothermal systems identified in 26 states. The low-temperature geothermal systems consist of 978 isolated hydrothermal-convection systems, 148 delineated-area hydrothermal-convection systems, and 42 delineated-area conduction-dominated systems. The basic data and estimates of reservoir conditions...


map background search result map search result map Navajo Reservoir and San Juan River Temperature Study Water pressure/depth and turbidity time-series data from CHC14 Marsh and mudflat stations in San Pablo Bay and China Camp Marsh, California Watershed geomorphology and snowmelt control stream thermal sensitivity to air temperature Subsidies of Aquatic Resources in Terrestrial Ecosystems Aerial thermal infrared imagery, focused groundwater discharge points, water temperature, streambed temperature, and vertical hydraulic gradient data collected along the South Loup, Dismal, and North Loup Rivers, Nebraska, 2014-16 01_Field measurements of lake-bottom groundwater temperatures from fiber-optic distributed temperature sensing (FO-DTS), Ashumet Pond, May 30-31, 2007 August 26, 2016 AUV Survey - Dissolved Oxygen Surface Water-level, wind-wave, and suspended-sediment concentration (SSC) time-series data from Little Holland Tract (station HWC), Sacramento-San Joaquin Delta, California, 2015-2017 (ver. 2.0, September, 2019) Digital data from USGS OFR 83-250: Selected data for low-temperature (less than 90 degrees C) geothermal systems in the United States; reference data for U.S. Geological Survey Circular 892 Water-quality profiles within the Caloosahatchee River and twelve fiberglass tanks, during experimental nutrient addition treatments, 2019 Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 5 Model predictions Time-series oceanographic data collected from reef flat and lagoon sediment dynamics packages in 2016 off Jurabi Point, Ningaloo Reef, Western Australia (ver. 2.0) RiverMET: Workflow and scripts for river metabolism estimation including Illinois River Basin application, 2005 - 2020 Limnology data from Lake Powell, desert southwest USA (ver. 2.0, Sept. 2023) Specific Water Quality Sites for Davis County, Utah Specific Water Quality Sites for Grand County, Utah Specific Water Quality Sites for Tooele County, Utah Water-quality profiles within the Caloosahatchee River and twelve fiberglass tanks, during experimental nutrient addition treatments, 2019 01_Field measurements of lake-bottom groundwater temperatures from fiber-optic distributed temperature sensing (FO-DTS), Ashumet Pond, May 30-31, 2007 Time-series oceanographic data collected from reef flat and lagoon sediment dynamics packages in 2016 off Jurabi Point, Ningaloo Reef, Western Australia (ver. 2.0) Water-level, wind-wave, and suspended-sediment concentration (SSC) time-series data from Little Holland Tract (station HWC), Sacramento-San Joaquin Delta, California, 2015-2017 (ver. 2.0, September, 2019) August 26, 2016 AUV Survey - Dissolved Oxygen Surface Water pressure/depth and turbidity time-series data from CHC14 Marsh and mudflat stations in San Pablo Bay and China Camp Marsh, California Specific Water Quality Sites for Davis County, Utah Specific Water Quality Sites for Grand County, Utah Specific Water Quality Sites for Tooele County, Utah Limnology data from Lake Powell, desert southwest USA (ver. 2.0, Sept. 2023) Aerial thermal infrared imagery, focused groundwater discharge points, water temperature, streambed temperature, and vertical hydraulic gradient data collected along the South Loup, Dismal, and North Loup Rivers, Nebraska, 2014-16 Watershed geomorphology and snowmelt control stream thermal sensitivity to air temperature Subsidies of Aquatic Resources in Terrestrial Ecosystems RiverMET: Workflow and scripts for river metabolism estimation including Illinois River Basin application, 2005 - 2020 Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 5 Model predictions Digital data from USGS OFR 83-250: Selected data for low-temperature (less than 90 degrees C) geothermal systems in the United States; reference data for U.S. Geological Survey Circular 892