The ARS Water Data Base is a collection of precipitation and streamflow data from small agricultural watersheds in the United States. This national archive of variable time-series readings for precipitation and runoff contains sufficient detail to reconstruct storm hydrographs and hyetographs. There are currently about 14,000 station years of data stored in the data base. Watersheds used as study areas range from 0.2 hectare (0.5 acres) to 12,400 square kilometers (4,786 square miles). Raingage networks range from one station per watershed to over 200 stations. The period of record for individual watersheds vary from 1 to 50 years. Some watersheds have been in continuous operation since the mid 1930's.
Data from: Gas emissions from dairy barnyards
To assess the magnitude of greenhouse gas (GHG) fluxes, nutrient runoff and leaching from dairy barnyards and to characterize factors controlling these fluxes, nine barnyards were built at the U.S. Dairy Forage Research Center Farm in Prairie du Sac, WI (latitude 43.33N, longitude 89.71W). The barnyards were designed to simulate outdoor cattle-holding areas on commercial dairy farms in Wisconsin. Each barnyard was approximately 7m x 7m; areas of barnyards 1-9 were 51.91, 47.29, 50.97, 46.32, 45.64, 46.30, 48.93, 48.78, 46.73 square meters, respectively. Factors investigated included three different surface materials (bark, sand, soil) and timing of cattle corralling. Each barnyard included a gravity drainage system that allowed leachate to be pumped out and analyzed. Each soil-covered barnyard also included a system to intercept runoff at the perimeter and drain to a pumping port, similar to the leachate systems.
Low-Disturbance Manure Incorporation
The LDMI experiment (Low-Disturbance Manure Incorporation) was designed to evaluate nutrient losses with conventional and improved liquid dairy manure management practices in a corn silage (*Zea mays*) / rye cover-crop (*Secale cereale*) system. The improved manure management treatments were designed to incorporate manure while maintaining crop residue for erosion control. Field observations included greenhouse gas (GHG) fluxes from soil, soil nutrient concentrations, crop growth and harvest biomass and nutrient content, as well as monitoring of soil physical and chemical properties. Observations from LDMI have been used for parameterization and validation of computer simulation models of GHG emissions from dairy farms (Gaillard et al., submitted). The LDMI experiment was performed as part of the Dairy CAP.
Rainfall simulation experiments in the Southwestern USA using the Walnut Gulch Rainfall Simulator
This dataset contains hydrological, erosion, vegetation, and ecological data from 272 rainfall simulation experiments conducted on 12 sq. m plots at 23 rangeland locations in Arizona and Nevada. The experiments were conducted between 2002 and 2013, with some locations being revisited multiple times.
Carbon Dioxide, Methane, Nitrous Oxide, and Ammonia Emissions from Digested and Separated Dairy Manure during Storage and Land Application
This data set includes measurements of greenhouse gas (GHG) and ammonia fluxes from dairy manure, with accompanying measurements of manure physical and chemical characteristics.
Data from: Interspecific variation in persistence of buried weed seeds follows trade-offs among physiological, chemical and physical seed defenses
This dataset includes data on the chemical, physical and biological traits of weed seeds of 11 arable weed species in relation to the persistence of these seeds in the soil seedbank within a common-garden burial study.
Data from: U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2013
The report 'U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2013' serves to estimate U.S. GHG emissions for the agricultural sector, to quantify uncertainty in emission estimates, and to estimate the potential of agriculture to mitigate U.S. GHG emissions. This dataset contains zipped, tabulated data from the figures and tables, and maps of the entire report. Data are presented for Cropland Soils (N2O), Enteric Fermentation (CH4), Managed Livestock Waste (CH4 + N2O), Grazed Lands (CH4 + N2O), Rice Cultivation + Residue Burning (CH4 + N2O), Energy Use, Forests, Harvested Wood, Urban Trees, and Agricultural Soils. Please refer to the report for full descriptions of and notes on the data.
Data from: Chapter 3- Cropland Agriculture. U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2013
All Content,Agro ecosystems
The report 'U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2013' serves to estimate U.S. GHG emissions for the agricultural sector, to quantify uncertainty in emission estimates, and to estimate the potential of agriculture to mitigate U.S. GHG emissions. This dataset contains tabulated data from the figures and tables presented in Chapter 3, Cropland Agriculture, of the report. Data are presented for Cropland Soils (N2O), Rice Cultivation + Residue Burning (CH4 + N2O), and Agricultural Soil Carbon and Amendments (CO2).
Data from: Chapter 2- Livestock and Grazed Lands Emissions. U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2013
All Content,Agro ecosystems
The report 'U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2013' serves to estimate U.S. GHG emissions for the agricultural sector, to quantify uncertainty in emission estimates, and to estimate the potential of agriculture to mitigate U.S. GHG emissions. This dataset contains tabulated data from the figures and tables presented in Chapter 2, Livestock and Grazed Lands Emissions, of the report. This chapter covers carbon dioxide, methane, and nitrous oxide emissions and removals due to enteric fermentation, animal waste management, and land use for confined and grazed animals.
USDA-ARS Colorado Maize Water Productivity Dataset 2008-2011
USDA-ARS carries out water productivity field trials for maize in Colorado, analyzing irrigation, precipitation, soil water storage, evapotranspiration, crop water use and yield.