Abstract
Greenhouse gas emissions (GHG), as well as other gaseous emissions and agronomic variables were continuously measured for three years (2011/2012 – 2014/2015) at eight experimental field sites in Germany. All management activities were consistently documented. The GHG-DB-Thuenen stores these multi-variable data sets of gas fluxes (CO2, N2O, CH4 and NH3), crop parameters (ontogenesis, aboveground biomass, grain and straw yield, N and C content, etc.), soil characteristics (nitrogen content, NH4-N, NO3-N, bulk density etc.), continuously recorded meteorological variables (air and soil temperatures, radiation, precipitation, etc.), management activities (sowing, harvest, soil tillage, fertilization, etc.), and its metadata (methods, further information about variables, etc.). In addition, NOx data were measured and analyzed. Also available are site-specific calculated C and N balances for the respective crops and crop rotations.
Highlights
1 INTRODUCTION AND ORIGINAL PURPOSE: GHG-DB-Thuenen was developed to store and archive a multi-variable data set of two research projects - "Potentials for the mitigation of greenhouse gas emissions from energy crop cultivation for biogas production" and "Mitigation of greenhouse gas emissions in oilseed rape cropping with particular consideration of nitrogen fertilization"
The original purpose of both collaborative projects was to quantify and to evaluate greenhouse gas (GHG) emissions for oilseed rape, maize and other energy crops, considering that oilseed rape is a major renewable resource for biodiesel and that maize plays a key role as feedstock for biogas production in Germany
3 DATABASE STRUCTURE AND DATA ACCESS: GHG-DB-Thuenen was developed with Microsoft Access Database 2007-2016
Summary
AND ORIGINAL PURPOSE: GHG-DB-Thuenen was developed to store and archive a multi-variable data set of two research projects - "Potentials for the mitigation of greenhouse gas emissions from energy crop cultivation for biogas production" (hereafter BGD project) and "Mitigation of greenhouse gas emissions in oilseed rape cropping with particular consideration of nitrogen fertilization" (hereafter OSR project). This database allows flexible data processing and analyses with different disciplinary and interdisciplinary backgrounds. The experiments of both projects and their designs are not identical and described separately below
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