Methane removal efficiency and pore gas concentration data from a landfill soil column experiment under cyclic precipitation conditions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This dataset presents results from a controlled laboratory soil column experiment designed to investigate methane (CH₄) consumption efficiency and gas concentration dynamics in landfill cover soil under imposed cyclic precipitation. The study was conducted between November 18 and December 20, 2024, at the Ecohydrology Research Group laboratory, University of Waterloo (Ontario, Canada), as part of a broader project on the Mitigation of Methane Emission Hot-Spots from Municipal Landfills. We include CH₄ removal efficiency (MRE) data and CH₄ and CO₂ fluxes measured from three soil columns over time, including inflow/outflow rates, gas concentrations in the headspace, and computed flux values. In addition, we provide depth-specific gas concentration profiles (CH₄, CO₂, O₂) within the soil columns across multiple timepoints and depths, supporting analysis of vertical gas gradients under variable saturation conditions. We analyzed gas samples using a GC-2014 Shimadzu Gas Chromatograph with a flame ionization detector and methanizer, and calculated CH₄ removal by comparing inflow and outflow fluxes. The dataset enables investigations into landfill soil biogeochemistry, gas transport processes, and the effects of precipitation cycling on methane oxidation potential.
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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 | 0.010 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.009 | 0.016 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it