Nitrous oxide emissions and field-level nitrogen balance of maize and other field crops: Data for meta-analysis
Bibliographic record
Abstract
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 mostly maize in the Corn Belt, but also include other crops and regions around the globe. All studies reported crop yield as well as N2O 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 N2O 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. This dataset contains yearly management, production, and N2O emission outcomes - along with other explanatory variables - drawn from temperate-region field crop experiments. 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; some gaps were filled with data provided by field researchers, and weather and soil data gaps were filled using publicly available datasets. The data are used in the following publication: 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. Earth's Future, 8, e2020EF001504. https://doi.org/10.1029/ 2020EF001504
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.028 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.023 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".