Microbial enzyme activities measured at more than 2000 US streams and rivers. These enzyme data were then used to predict organic matter decomposition and microbial respiration, and to predict carbon efflux from US streams and rivers. This dataset is associated with the following publication: Hill, B., C. Elonen, A. Herlihy, T. Jicha, and R. Mitchell. A synoptic survey of microbial respiration, organic matter decomposition, and carbon efflux in U.S. streams and rivers. Limnology and Oceanography Bulletin. American Society of Limnology and Oceanography, Lawrence, KS, USA, 62(1): S147-S159, (2017).

NWCA 2011 Soil Chemistry Data. This dataset is associated with the following publication: Nahlik, A., and M.S. Fennessy. Carbon storage in US wetlands. Nature Communications. Nature Publishing Group, London, UK, 7: 1-9, (2016).

This data set is a subset of a global database compiled by Matthews and Fung (1987) on the distribution and environmental characteristics of natural wetlands. The global database was developed to evaluate the role of wetlands in the annual emission of methane from terrestrial sources. This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America.

This dataset includes literature-derived ecological data from tidal saline wetlands across the United States, Canada, and Mexico for the following ecosystem properties: canopy height, aboveground biomass, productivity, soil carbon density, and soil carbon accumulation rates.

This dataset provides a synthesis of soil organic carbon (SOC) estimates and a variety of other environmental information from tidal wetlands within estuaries in the conterminous United States for the period 1972-2015. The data were compiled from several existing data resources and include the following: soil organic carbon stock estimates, the proportion of the catchment area containing the wetlands that is barren, tidal wetland area, nontidal wetland land, open water, saltwater zone, mixed zone, agricultural, urban, forest, and wetland areas, land elevation, ocean salinity, sea surface temperature, ocean dissolved inorganic phosphorus, estuary latitude, longitude, depth, perimeter, salinity, and estuary volume, river flow, carbon, nitrogen, and phosphorus river flux, sediment organic carbon content, windspeed, mean temperature, daily and mean precipitation, frost days, and the population within each catchment. Estuaries were also classified to one of six typological categories. Coastal locations were determined by natural environmental and political divisions within the US. The data were used to investigate how tidal wetland soil organic carbon density is distributed across the continental US among various coastal locations, estuarine typologies, vegetation types, water regimes, and management regimes, and to identify whether SOC density is correlated with different environmental variables. The analytical results are not included with this dataset.

These datasets provide raw stable isotope data collected as part of the National Wetland Condition Assessment (NWCA). δ15N and δ13C measured from 10-cm Standard Depth Soil Cores are reported for 2011, 2016, 2021 NWCA and δ2H and δ18O from surface water chemistry samples are reported for 2021 NWCA.

This dataset include US Forest Service (contact Dr. Stephen Sebestyen at USFS) long-term precipitation, atmospheric deposition, and hydrologic data for the years 2010-2013. The dataset also includes unique (never before collected) data on ammonification, denitrification, microbial enzyme activity, and nitrification. These data will be useful for long-term trend analyses and for further investigations on carbon and nitrogen cycling in peatlands. This dataset is associated with the following publication: Hill , B., T. Jicha , L. Lehto, C. Elonen , S. Sebestyen , and R. Kolka. Comparisons of soil nitrogen mass balances for an ombrotrophic bog and a minerotrophic fen in northern Minnesota. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 550: 880-892, (2016).

This dataset contains water quality data and associated site information including landuse/landcover descriptions for the 2011 NWCA wetland sites at which a water sample was successfully obtained. This dataset is associated with the following publication: Trebitz, A., J. Nestlerode, and A. Herlihy. USA-scale patterns in wetland water quality as determined from the 2011 National Wetland Condition Assessment. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191(262): 24 p., (2019).

This database provides information on the distribution and environmental characteristics of natural wetlands. The database was developed to evaluate the role of wetlands in the annual emission of methane from terrestrial sources. The original data consists of five global 1-degree latitude by 1-degree longitude arrays. The subset retains all five arrays at the 1-degree resolution but only for the area of interest. The arrays are (1) wetland data source, (2) wetland type, (3) fractional inundation, (4) vegetation type, and (5) soil type.

This database, compiled by Matthews and Fung (1987), provides information on the distribution and environmental characteristics of natural wetlands. The database was developed to evaluate the role of wetlands in the annual emission of methane from terrestrial sources. The original data consists of five global 1-degree latitude by 1-degree longitude arrays. This subset, for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America, retains all five arrays at the 1-degree resolution but only for the area of interest (i.e., longitude 85 deg to 30 deg W, latitude 25 deg S to 10 deg N). The arrays are (1) wetland data source, (2) wetland type, (3) fractional inundation, (4) vegetation type, and (5) soil type. The data subsets are in both ASCII GRID and binary image file formats.The data base is the result of the integration of three independent digital sources: (1) vegetation classified according to the United Nations Educational Scientific and Cultural Organization (UNESCO) system (Matthews, 1983), (2) soil properties from the Food and Agriculture Organization (FAO) soil maps (Zobler, 1986), and (3) fractional inundation in each 1-degree cell compiled from a global map survey of Operational Navigation Charts (ONC). With vegetation, soil, and inundation characteristics of each wetland site identified, the data base has been used for a coherent and systematic estimate of methane emissions from wetlands and for an analysis of the causes for uncertainties in the emission estimate.The complete global data base is available from NASA/GISS [http://www.giss.nasa.gov] and NCAR data set ds765.5 [http://www.ncar.ucar.edu]; the global vegetation types data are available from ORNL DAAC [http://www.daac.ornl.gov].