Dataset for Logozzo et al. Global Biogeochemical Cycles "Agricultural land use impacts aquatic greenhouse gas emissions from wetlands in the Canadian Prairie Pothole Region"
Bibliographic record
Abstract
This dataset presents a survey of greenhouse gas content, emissions rates, and biogeochemical features of open water wetland habitats in the three prairie provinces of the Canadian Prairies. A subset of the data have been previously published by Soued et al. 2024. Nature Communications, but this dataset is revised to correct for a minor error found in those data. As stated in the current manuscript, we used Equation 2 to calculate the flux gas transfer coefficient (k) of each greenhouse gas: k_"gas" =k_600 〖((Sc_"gas" )/(Sc_600 ))^n where n is a constant that ranges from –0.67 to –0.5; however, we used an outdated reference (Cole & Caraco, 1998) that erroneously stated the allowed range to be –0.67 to 1. As such, the n we chose (+0.67) is too high, resulting in fluxes being, on average, approximately 20% higher than actual fluxes (when using the more appropriate n = –0.67). This error is corrected in the current dataset and an author correction note accompanies the manuscript.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".