Datasets

Subject
Creator
Type
Date

subject: Greenhouse Gas Emissions type: dataset date: 2020

Total is 3 Results
Measuring N2O Emissions from Multiple Sources Using a Backward Lagrangian Stochastic Model

10.4231/JE4B-8J88

Cheng-Hsien Lin ORCID logo , Cliff Johnston , Richard H Grant ORCID logo

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

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 ORCID logo , 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

Data of soil greenhouse gas emissions and soybean growth from a biochar-amended precipitation manipulation experiment

10.4231/YCWY-4G65

Akane Abbasi ORCID logo , Jeffrey Dukes ORCID logo

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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