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Temperature and light measurements along the water-depth profile of ponds in North Dakota, USA, 2019
This data release presents data that were collected as part of a larger effort to assess factors that regulate thermal stratification and mixing in small ponds. This work was part of an international collaborative effort with the Global Lake Ecological Observatory Network (GLEON). From May to October 2019, temperature and light were measured throughout the water-depth profile of two artificial ponds located near Jamestown, North Dakota. Meteorological and bathymetric data also were collected. The ponds, managed by the U.S. Geological Survey Northern Prairie Wildlife Research Center, are representative of the small inland wetlands of the Prairie Pothole Region of North America. Data from this collaborative study will be used to understand how small inland ponds differ from large lakes and coastal systems, specifically with regard to nutrient recycling, primary production, greenhouse gas emissions, and oxygen dynamics.
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Temperature and light measurements along the water-depth profile of ponds in North Dakota, USA, 2019
공공데이터포털
This data release presents data that were collected as part of a larger effort to assess factors that regulate thermal stratification and mixing in small ponds. This work was part of an international collaborative effort with the Global Lake Ecological Observatory Network (GLEON). From May to October 2019, temperature and light were measured throughout the water-depth profile of two artificial ponds located near Jamestown, North Dakota. Meteorological and bathymetric data also were collected. The ponds, managed by the U.S. Geological Survey Northern Prairie Wildlife Research Center, are representative of the small inland wetlands of the Prairie Pothole Region of North America. Data from this collaborative study will be used to understand how small inland ponds differ from large lakes and coastal systems, specifically with regard to nutrient recycling, primary production, greenhouse gas emissions, and oxygen dynamics.
Chemical and isotopic data from wetland pond water samples collected in the Cottonwood Lake Study Area, Stutsman County, North Dakota, USA, 2015–2019
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This U.S. Geological Survey data release contains chemical, isotopic, and physical data from wetland pond water samples collected at the Cottonwood Lake Study Area, Stutsman County, North Dakota, USA. Samples were collected monthly during the growing season (April or May through September) in 2015, 2016, 2017, and 2019 and in August 2018. Temperature, specific conductance, and pH were measured in situ. Major cations, select trace cations, chloride, fluoride, sulfate, and nitrate were determined for all samples. Stable oxygen and hydrogen isotope ratios of water were determined for samples collected from 2015 to 2017. Total dissolved nitrogen, dissolved organic carbon, absorbance at 254 nm, and stable carbon isotope ratios of dissolved inorganic carbon were determined for samples collected in 2015 and 2016. Dissolved ammonium and phosphate were determined for samples collected in 2016 and April and May 2017.
Chemical and isotopic data from wetland pond water samples collected in the Cottonwood Lake Study Area, Stutsman County, North Dakota, USA, 2015–2019
공공데이터포털
This U.S. Geological Survey data release contains chemical, isotopic, and physical data from wetland pond water samples collected at the Cottonwood Lake Study Area, Stutsman County, North Dakota, USA. Samples were collected monthly during the growing season (April or May through September) in 2015, 2016, 2017, and 2019 and in August 2018. Temperature, specific conductance, and pH were measured in situ. Major cations, select trace cations, chloride, fluoride, sulfate, and nitrate were determined for all samples. Stable oxygen and hydrogen isotope ratios of water were determined for samples collected from 2015 to 2017. Total dissolved nitrogen, dissolved organic carbon, absorbance at 254 nm, and stable carbon isotope ratios of dissolved inorganic carbon were determined for samples collected in 2015 and 2016. Dissolved ammonium and phosphate were determined for samples collected in 2016 and April and May 2017.
Greenhouse gas concentrations and water-quality parameters from experimental ponds in North Dakota, USA, 2019
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This data release describes data that were contributed to the GasHype project, a global data compilation effort. Goals of the GasHype project include assessing concentrations of carbon dioxide and methane in the hypolimnion of lakes, reservoirs, and ponds, and identifying important drivers of these concentrations. Data contributed by the U.S. Geological Survey, Northern Prairie Wildlife Research Center include concentrations of dissolved greenhouse gases along with various water quality parameters from experimental ponds located near Jamestown, North Dakota, USA. Samples and data were collected from four ponds during the period of May through September, 2019.
Greenhouse gas concentrations and water-quality parameters from experimental ponds in North Dakota, USA, 2019
공공데이터포털
This data release describes data that were contributed to the GasHype project, a global data compilation effort. Goals of the GasHype project include assessing concentrations of carbon dioxide and methane in the hypolimnion of lakes, reservoirs, and ponds, and identifying important drivers of these concentrations. Data contributed by the U.S. Geological Survey, Northern Prairie Wildlife Research Center include concentrations of dissolved greenhouse gases along with various water quality parameters from experimental ponds located near Jamestown, North Dakota, USA. Samples and data were collected from four ponds during the period of May through September, 2019.
Data release: Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes
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Climate change and land use change have been shown to influence lake temperatures and water clarity in different ways. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we focused on improving prediction accuracy for daily water temperature profiles and optical habitat in 881 lakes in Minnesota during 1980-2018.

The data are organized into these items:

  1. Lake Information - A lake metadata file and one shapefile of polygons for all 881 lakes in this study
  2. Observations - Temperature observations the lakes used in this study
  3. Model Configurations - Model parameters
  4. Model Inputs - Data used to drive predictive models
  5. Model Predictions - Predictions for water temperature and near-surface irradiance
  6. Model Evaluation - Evaluation of model performance for water temperature predictions
  7. Habitat Estimates - Estimates of thermal habitat, optical habitat, and thermal-optical habitat area

    8. This research was funded by the Department of the Interior Northeast and North Central Climate Adaptation Science Centers, a Midwest Glacial Lakes Fish Habitat Partnership grant through F&WS Access to computing facilities was provided by USGS Advanced Research Computing, USGS Yeti Supercomputer (https://doi.org/10.5066/F7D798MJ). We thank North Temperate Lakes Long-Term Ecological Research (NSF DEB-1440297) and Global Lake Ecological Observatory Network (NSF #1702991).

Data release: Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes
공공데이터포털

Climate change and land use change have been shown to influence lake temperatures and water clarity in different ways. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we focused on improving prediction accuracy for daily water temperature profiles and optical habitat in 881 lakes in Minnesota during 1980-2018.

The data are organized into these items:

  1. Lake Information - A lake metadata file and one shapefile of polygons for all 881 lakes in this study
  2. Observations - Temperature observations the lakes used in this study
  3. Model Configurations - Model parameters
  4. Model Inputs - Data used to drive predictive models
  5. Model Predictions - Predictions for water temperature and near-surface irradiance
  6. Model Evaluation - Evaluation of model performance for water temperature predictions
  7. Habitat Estimates - Estimates of thermal habitat, optical habitat, and thermal-optical habitat area

    8. This research was funded by the Department of the Interior Northeast and North Central Climate Adaptation Science Centers, a Midwest Glacial Lakes Fish Habitat Partnership grant through F&WS Access to computing facilities was provided by USGS Advanced Research Computing, USGS Yeti Supercomputer (https://doi.org/10.5066/F7D798MJ). We thank North Temperate Lakes Long-Term Ecological Research (NSF DEB-1440297) and Global Lake Ecological Observatory Network (NSF #1702991).

Water and ice characteristics from Hobart Lake National Wildlife Refuge, Barnes County, North Dakota, USA, 2021
공공데이터포털
This data release presents data that were collected as part of a larger effort to refine knowledge pertaining to the origin, composition, and seasonality of dissolved organic matter in lakes. This work was part of an international collaborative effort with the Global Lake Ecological Observatory Network (GLEON). Water samples were collected monthly during 2021 and shipped to GLEON for determination of dissolved organic matter. In conjunction with each monthly sample event, several water-quality variables and ice thickness were measured. Data from this collaborative study will be used to understand how the origin and composition of dissolved organic matter varies through time.
Water and ice characteristics from Hobart Lake National Wildlife Refuge, Barnes County, North Dakota, USA, 2021
공공데이터포털
This data release presents data that were collected as part of a larger effort to refine knowledge pertaining to the origin, composition, and seasonality of dissolved organic matter in lakes. This work was part of an international collaborative effort with the Global Lake Ecological Observatory Network (GLEON). Water samples were collected monthly during 2021 and shipped to GLEON for determination of dissolved organic matter. In conjunction with each monthly sample event, several water-quality variables and ice thickness were measured. Data from this collaborative study will be used to understand how the origin and composition of dissolved organic matter varies through time.
Dissolved oxygen, temperature, and light measured along the water-depth profile of wetlands in North Dakota, USA, 2019
공공데이터포털
This data release presents data that were collected as part of a larger effort to assess factors that regulate ecosystem metabolism in small ponds. This work was part of an international collaborative effort with the Global Lake Ecological Observatory Network (GLEON). From May to October 2019, dissolved oxygen, temperature, and light were measured throughout the water-depth profile of two natural wetlands and four artificial ponds located near Jamestown, North Dakota. Meteorological and bathymetric data also were collected. The natural wetlands are representative of semipermanent wetlands of the Prairie Pothole Region of North America. The artificial ponds, while smaller than the natural ponds, were managed to represent small inland wetlands of the Prairie Pothole Region. The Artificial ponds are managed by the U.S. Geological Survey Northern Prairie Wildlife Research Center. Data from this collaborative study will be used to understand how small inland ponds differ from large lakes and coastal systems, specifically with regard to nutrient recycling, primary production, greenhouse gas emissions, and oxygen dynamics.
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