Manual chamber CH4, CO2, N2O fluxes + auxiliary data from Stordalen Mire, N Sweden, 2022-2024
Bibliographic record
Abstract
This dataset contains greenhouse gas flux measurements, namely: methane (CH4), carbon dioxide (CO2), and nitrous oxide (N2O) and auxiliary data, including PAR (Photosynthetically Active Radiation), soil moisture, and soil temperature from manual chamber campaigns at the Stordalen Mire (68.20°N, 19.03°E, 351 m above sea level) in sub-Arctic Sweden in September 2022, May, July, and September 2023, and June, July, and August 2024. The Stordalen Mire is located within the sporadic permafrost zone, adjacent to Lake Torneträsk. A large portion of the mire consists of a slightly elevated drained area, interspersed with wetter depressions, which are not underlain by permafrost. It is located on the 0°C isotherm, which causes the permafrost in the mire to be sporadic and highly dynamic in nature. As a result of recent years of warming in the area, permafrost has been observed to degrade in many parts of the mire. More information on Stordalen can be found here: https://www.icos-sweden.se/abisko-stordalen https://www.arcticcirc.net/stordalen Our dataset is grouped into four different microhabitats along a thawing (moisture) gradient from dry to wet: palsa lichen (dry), palsa moss (dry), bog (wet), and fen (wet). Please refer to our publications: Triches, N. Y., Engel, J., Bolek, A., Vesala, T., Marushchak, M. E., Virkkala, A.-M., Heimann, M., and Göckede, M.: Practical guidelines for reproducible N2O flux chamber measurements in nutrient-poor ecosystems, Atmos. Meas. Tech., 18, 3407–3424, 2025. DOI: https://doi.org/10.5194/amt-18-3407-2025 Triches, N. Y., Bolek, A., Rovamo, M., et al.: Light and dark conditions control the nitrous oxide uptake and emission dynamics in a subarctic, nutrient-poor permafrost peatland, Commun Earth Environ, 7, 471, 2026. DOI: https://doi.org/10.1038/s43247-026-03698-3
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.022 | 0.029 |
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".