Subject
- Agriculture 4
- Agronomy 3
- Crop Science 1
- Soil Science 1
Creator
- Sushant Mehan 3
- Margaret Gitau, 0000-0002-4931-7047 2
- Akane Abbasi, 0000-0003-1111-8752 1
- Alison J. Eagle 1
- Andrea Clavijo 1
- Cameron M. Pittelkow 1
- Cheng-Hsien Lin, 0000-0001-6580-5457 1
- Claudia Wagner-Riddle 1
- Cliff Johnston 1
- Craig F. Drury 1
Type
- Dataset 7
Date
subject: Greenhouse Gas Emissions type: dataset
Total is 7 Results
MEIGS Soil Ecology Project - Turco Lab 2014-2015
10.4231/R79W0CG7
Andrea Clavijo
,
Jacob D Widner
,
Lori A Hoagland
,
Marianne Bischoff Gray
,
Ronald F. Turco Jr.
12/12/2016
The purpose of this project was to study the effects of organic and conventional farming methods on soil microbial ecosystems by monitoring greenhouse gas (GHG) emissions from the soil during the planting season.
Agronomy Conventional Farming Crop Science Greenhouse Gas Emissions Organic Farming Soil Ecology Soil Emissions Soil Science
Nitrous oxide emissions and field-level nitrogen balance of maize and other field crops: Data for meta-analysis
10.4231/DFB0-F030
Alison J. Eagle
,
Cameron M. Pittelkow
,
Claudia Wagner-Riddle
,
Craig F. Drury
,
David E. Pelster
,
Douglas R. Smith
,
G. Philip Robertson
,
Gustavo Cambareri
,
Martin H. Chantigny
,
Rex A. Omonode
,
Rodney T. Venterea
,
Sylvie M. Brouder
,
Timothy B. Parkin
,
Tony J. Vyn
09/14/2020
Dataset for meta-analysis establishing generalized relationship between N2O emissions and field-crop partial N balance. Quantifying on-farm N2O emissions for food-supply chains.
Agriculture Agronomy Greenhouse Gas Emissions Net Nitrogen Balance Nitrogen Nitrous Oxide row crops Surplus Nitrogen
Measuring N2O Emissions from Multiple Sources Using a Backward Lagrangian Stochastic Model
10.4231/JE4B-8J88
Cheng-Hsien Lin
,
Cliff Johnston
,
Richard H Grant
09/21/2020
This file includes the data used in the figures of the manuscript entitled 'Measuring N2O Emissions from Multiple Sources Using a Backward Lagrangian Stochastic Model'.
A backward Lagrangian stochastic (bLS) dispersion model Agronomy Atmospheric measurements Greenhouse Gas Emissions Maize multiple emission sources N2O OP-FTIR
Climate Projection Data for 21st century for the Western Lake Erie Basin (Indiana, Ohio, and Michigan)
10.4231/R7GX48SF
Margaret W. Gitau
,
Sushant Mehan
01/01/2019
Climate data from ground-based climate stations obtained from National Climate Data Center and bias corrected climate values from different climate models for different emission scenarios for the entire Western Lake Erie Basin.
Agriculture Biological Engineering Climate Change Climate Projections Computational Biology Great Lakes Greenhouse Gas Emissions Hydroclimate Hydrologic Modeling Indiana Michigan Ohio Precipitation RCP8.5 Climate Projections Temperature Western Lake Erie Basin
Climate Projections for the Western Lake Erie Basin for medium and high emission scenarios for hydrologic modeling assessment studies (Indiana, Ohio, and Michigan)
10.4231/R7C53J3W
Margaret Gitau
,
Sushant Mehan
01/01/2019
The observed climate data and bias corrected climate projections based on data from sixteen different ground based climate stations from National Climatic Data Center for hydrology and climate change studies.
Agriculture Biological Engineering Climate Change Climate Projections Great Lakes Greenhouse Gas Emissions Hydrologic Modeling Indiana Lake Erie Maumee River Basin Michigan Ohio Precipitation Temperature Western Lake Erie Basin
Spatial-Temporal Climate Projection Data for 21st-century for the Western Lake Erie Basin (WLEB) for hydrologic studies
10.4231/R73R0R42
Margaret Gitau
,
Sushant Mehan
01/01/2019
Temporal climate projection data for 2006-2099 for sixteen different climate stations for the Western Lake Erie Basin. This dataset includes data for climate stations in Indiana, Ohio, and Michigan.
Agriculture Biological Engineering Climate Change Climate Projections Great Lakes Greenhouse Gas Emissions Hydroclimate Hydrologic Modeling Indiana Michigan Ohio Precipitation Temperature Western Lake Erie Basin
Data of soil greenhouse gas emissions and soybean growth from a biochar-amended precipitation manipulation experiment
10.4231/YCWY-4G65
02/28/2020
We recorded soil greenhouse gas emissions and soybean growth in a field experiment where precipitation intensity was manipulated and biochar was added during the growing season of 2017.
biochar Forestry and Natural Resources Greenhouse Gas Emissions precipitation manipulation Soil Emissions Soybean
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Results 1 - 7 of 7