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.

This data release presents data that were collected as part of a larger effort to assess the carbon balance of recently exposed (i.e., no vegetation cover) wetland sediments. This work was part of an international collaborative effort associated with the Dryflux II project. During June and July 2021, data were collected from three artificial ponds located near Jamestown, North Dakota, to estimate carbon dioxide flux, vegetation characteristics, and soil properties. Numerous covariates related to atmospheric and soil conditions also were measured. Water levels of the artificial ponds, which are managed by the U.S. Geological Survey Northern Prairie Wildlife Research Center, were manipulated to mimic the natural drying cycle of prairie wetlands. This management resulted in exposed sediments where samples were collected. Data from this collaborative study will be used to better understand the carbon balance of wetland soils associated with fluctuating wet and dry conditions, and to refine global estimates of carbon dioxide emissions from dry inland waters.

This data release presents data that were collected as part of a larger effort to assess the carbon balance of recently exposed (i.e., no vegetation cover) wetland sediments. This work was part of an international collaborative effort associated with the Dryflux II project. During June and July 2021, data were collected from three artificial ponds located near Jamestown, North Dakota, to estimate carbon dioxide flux, vegetation characteristics, and soil properties. Numerous covariates related to atmospheric and soil conditions also were measured. Water levels of the artificial ponds, which are managed by the U.S. Geological Survey Northern Prairie Wildlife Research Center, were manipulated to mimic the natural drying cycle of prairie wetlands. This management resulted in exposed sediments where samples were collected. Data from this collaborative study will be used to better understand the carbon balance of wetland soils associated with fluctuating wet and dry conditions, and to refine global estimates of carbon dioxide emissions from dry inland waters.

A study was conducted to assess the relationships among carbon mineralization, sulfate reduction and greenhouse gas emissions in prairie pothole wetlands. These data are for dissolved methane and carbon dioxide concentrations and fluxes. Dissolved gas concentrations in the water column and fluxes to the atmosphere were estimated from April through November, 2015 for wetlands P7 and P8 of the Cottonwood Lake Study area, Stutsman County, North Dakota. Dissolved gases in the water column were collected every two weeks using a pumping-induced ebullition device. Gas flux samples were collected concurrently at the water-atmosphere interface using the vented static-chamber method. Gas concentrations of the gas samples were determined using gas chromatography. Air and water temperature and water depth also were collected concurrently. These data directly support the associated publication “Abundant carbon substrates drive extremely high sulfate reduction rates and methane fluxes in Prairie Pothole Wetlands” which is referenced within the Metadata.

The data set contains temporal chloride concentrations (mg/L) and specific conductance (uS/cm) values for 32 wetlands and groundwater monitoring wells as well as the date(s) sampled and the laboratory where the water quality analyses were conducted. The ratio of chloride concentration to specific conductance is referred to as the Contamination Index. In this region, values greater than 0.035 are used to identify water quality samples that are contaminated with co-produced water from energy development.

The data set contains temporal chloride concentrations (mg/L) and specific conductance (uS/cm) values for 32 wetlands and groundwater monitoring wells as well as the date(s) sampled and the laboratory where the water quality analyses were conducted. The ratio of chloride concentration to specific conductance is referred to as the Contamination Index. In this region, values greater than 0.035 are used to identify water quality samples that are contaminated with co-produced water from energy development.

Reported carbon dioxide, methane, and nitrous emission rates from lakes and reservoirs across the globe. This dataset is associated with the following publication: DelSontro, T., J. Beaulieu, and J. Downing. Greenhouse gas emissions from lakes and impoundments: upscaling in the face of global change. Limnology and Oceanography Letters. John Wiley & Sons, Inc., Hoboken, NJ, USA, 3(3): 64-75, (2018).

This data release describes data that were contributed to the Global Lakes Ecosystem Observation Network (GLEON) FunAqua project, a global data compilation effort. Goals of the FunAqua project are to document the drivers of global aquatic fungal diversity and determine the breadth of the niche of aquatic fungi locally, globally, and in relation to soil and leaves. Data contributed by the U.S. Geological Survey, Northern Prairie Wildlife Research Center include standard water-quality parameters (dissolved oxygen, pH, water temperature) that were measured during the collection of water and soil samples, which were submitted to the project for fungal analyses. Data and samples were collected during August of 2019 from natural wetlands and experimental ponds located Stutsman County, North Dakota, USA.