Soil 16S DNA sequence data and corresponding soil property and wheat yield data from a 72-plot field experiment involving pulses and wheat crops grown in rotations in the semiarid prairie
Bibliographic record
Abstract
The soil bacteria diversity and corresponding environmental data made available here are from a 72-field plot experiment testing the effect of pulse frequency in nine wheat-based rotation systems, in the semiarid prairie. The data include sequences of the V6-V8 regions of bacterial 16S rDNA from soil and root extracts, generated using Roche GS FLX Titanium technology, and associated environmental data, specifically levels of soil organic carbon, total carbon, total nitrogen, total phosphorus, pH, electrical conductivity, and extractible sulfate sulfur, copper, iron, manganese, zinc, potassium, nitrate nitrogen, phosphate phosphorus, calcium, and magnesium in the 0-15 cm soil layer, and mineral nitrogen and phosphate in the 0-120 cm soil layer. The grain yield of wheat in the last (4th) phase of the crop rotation systems is also given. The data can be used in meta-analyses of the effect of pea, lentil and chickpea in wheat-based cropping systems on soil bacterial diversity or for monitoring the evolution of soil bacteria communities in cultivated prairie soils in the context of climate change. Samples were collected between 2012 and 2014.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".