Nitrous oxide emissions and field-level nitrogen balance of maize and other field crops: Data for meta-analysis
Bibliographic record
Abstract
<p>This is a compilation of field research data measuring nitrous oxide emissions from 55 different field crop experiments reported in 66 different publications. The data are&nbsp;mostly maize in the Corn Belt, but also include&nbsp;other crops and regions around the globe. All studies&nbsp;reported crop yield as well as N<sub>2</sub>O losses. Experiment dates range from 1993 to 2017. Map illustrates observations for which multiple non-zero N rates were monitored -- this is the restricted dataset used to determine the generalized relationship between N<sub>2</sub>O and N balance (where N balance is N inputs minus N removed). The dataset includes a total of 805 separate site-treatment-year observations, with up to 87 different variables for each observation.</p> <p>This dataset contains yearly management, production, and N<sub>2</sub>O emission outcomes - along with other explanatory variables - drawn from&nbsp;temperate-region field crop experiments.&nbsp;Data subsets include: 1) maize in the North American Corn Belt on silt loam soils as published previously by McLellan et al. 2018, 2) additional observations for maize in the Corn Belt on silt loam soils, 3) maize in the Corn Belt grown on soils of other texture classes, 4) maize in the Corn Belt fertilized with livestock manure, and 5) other crops and regions. Yearly observations are averages of 3-4 replicates for each treatment-site, with measurement variability included where available. Most observations and explanatory variables originate from published data in peer-reviewed publications;&nbsp;some gaps were filled with data provided by field researchers, and weather and soil data gaps were filled using publicly available datasets.</p> <p>The data are used in the following publication:</p> <p>Eagle, A. J., McLellan, E. L., Brawner, E. M., Chantigny, M. H., Davidson, E. A., Dickey, J. B., et al. (2020). Quantifying on‐farm nitrous oxide emission reductions in food supply chains. <em>Earth&#39;s Future</em>, 8, e2020EF001504. https://doi.org/10.1029/ 2020EF001504</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".