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).

Dataset contains wetland site information, microbial respiration and ecoenzyme data, enzyme decomposition model, and the program file to run the data analyses. This dataset is associated with the following publication: Hill , B., C. Elonen , L. Seifert, A. May, and E. Tarquinio. Microbial ecoenzyme stoichiometry, nutrient limitation, and organic matter decomposition in wetlands of the conterminous United States. Wetlands Ecology and Management. Springer Science and Business Media B.V;Formerly Kluwer Academic Publishers B.V., GERMANY, 26: 425-439, (2018).

Dataset contains wetland site information, microbial respiration and ecoenzyme data, enzyme decomposition model, and the program file to run the data analyses. This dataset is associated with the following publication: Hill , B., C. Elonen , L. Seifert, A. May, and E. Tarquinio. Microbial ecoenzyme stoichiometry, nutrient limitation, and organic matter decomposition in wetlands of the conterminous United States. Wetlands Ecology and Management. Springer Science and Business Media B.V;Formerly Kluwer Academic Publishers B.V., GERMANY, 26: 425-439, (2018).

Microbial enzyme data that were collected during the 2004-2006 EMAP-GRE program. These data were then used by Moorhead et al (2016) in their ecoenzyme vector analysis paper. This dataset is associated with the following publication: Moorhead, D., R. Sinsabaugh, B. Hill , and M. Weintraub. Vector analysis of ecoenzyme activities reveal constraints on coupled C, N and P dynamics. SOIL BIOLOGY AND BIOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 93: 1-7, (2016).

Microbial enzyme data that were collected during the 2004-2006 EMAP-GRE program. These data were then used by Moorhead et al (2016) in their ecoenzyme vector analysis paper. This dataset is associated with the following publication: Moorhead, D., R. Sinsabaugh, B. Hill , and M. Weintraub. Vector analysis of ecoenzyme activities reveal constraints on coupled C, N and P dynamics. SOIL BIOLOGY AND BIOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 93: 1-7, (2016).

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).

These data include detailed sample description (sampling locations, sampling events, DNA concentrations in four separate spreadsheet in an Excel file) and DNA sequencing plate layout. This dataset is associated with the following publication: Li, L., D. Ning, Y. Jeon, H. Ryu, J. SantoDomingo, D. Kang, A. Kadudula, and Y. Seo. Ecological Insights into Assembly Processes and Network Structures of Bacterial Biofilms in Full-scale Biologically Active Carbon Filters under Ozone Implementation. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 751: 141409, (2021).

This dataset provides shapefile outlines of the catchments contributing to sites where metabolism was or could have been estimated. The format is a shapefile for all sites combined (.shp, .shx, .dbf, and .prj files). This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability.

This dataset provides input data formatted for use in estimating metabolism. The format is tables of prepared time series inputs (1 tab-delimited file per site, in 1 zip file per site). This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability.