Long-term meteorological and carbon, water and energy flux data from the Boreal Ecosystem Research and Monitoring Sites, Saskatchewan, Canada
Bibliographic record
Abstract
Abstract. The Boreal Ecosystem Research and Monitoring Sites (BERMS) are a network of flux tower research sites located near the southern boundary of the Boreal Plains Ecozone in Saskatchewan, Canada. This network includes four principal sites that characterize the region’s dominant vegetation types: mature trembling aspen (Old Aspen, OA, 1997–2017), mature black spruce (Old Black Spruce, OBS, 1997–present), mature jack pine (Old Jack Pine, OJP, 1997–present), and a minerotrophic patterned fen (Fen, 2002–present). The dataset reported here include continuous long-term records of site meteorological variables (air temperature, humidity, barometric pressure, precipitation, wind speed and direction), vertical profiles of soil temperature and volumetric water content, surface energy balance components (soil and biomass heat fluxes, photosynthetic heat flux, and eddy covariance-derived latent and sensible heat fluxes), and carbon fluxes (net ecosystem production, gross primary productivity, and ecosystem respiration). The strengths of the data set are its length and completeness, spanning up to 27 years; the care given to the measurement of net radiation and the minor surface energy balance terms; the care given to the measurement of precipitation and other hydrologic variables; and the proximity of the sites, which enables inter-site comparisons of the responses of the carbon and water balances to climatic controls. The data are available at https://doi.org/10.20383/103.01318 (Helgason et al., 2024).
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".