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Record W6963406033 · doi:10.17617/3.woiqrc

Manual chamber CH4, CO2, N2O fluxes + auxiliary data from Stordalen Mire, N Sweden, 2022-2024

2025· dataset· en· W6963406033 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMax Planck Digital Library · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMirePermafrostBogPeatHydrology (agriculture)WetlandSphagnumTundra

Abstract

fetched live from OpenAlex

<p> This dataset contains greenhouse gas flux measurements, namely: </p> <ul> <li>methane (CH<sub>4</sub>),</li> <li>carbon dioxide (CO<sub>2</sub>), and</li> <li>nitrous oxide (N<sub>2</sub>O)</li> </ul> <p> 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. </p> <p> 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. </p> <p> More information on Stordalen can be found here: </p> <ul> <li><a href="https://www.icos-sweden.se/abisko-stordalen" target="_blank">https://www.icos-sweden.se/abisko-stordalen</a></li> <li><a href="https://www.arcticcirc.net/stordalen" target="_blank">https://www.arcticcirc.net/stordalen</a></li> </ul> <p> Our dataset is grouped into four different microhabitats along a thawing (moisture) gradient from dry to wet: <strong>palsa lichen</strong> (dry), <strong>palsa moss</strong> (dry), <strong>bog</strong> (wet), and <strong>fen</strong> (wet). </p> <p>Please refer to our publications:</p> <ol> <li> Triches, N. Y., Engel, J., Bolek, A., Vesala, T., Marushchak, M. E., Virkkala, A.-M., Heimann, M., and Göckede, M.: <em>Practical guidelines for reproducible N<sub>2</sub>O flux chamber measurements in nutrient-poor ecosystems</em>, Atmos. Meas. Tech., 18, 3407–3424, 2025. <br> DOI: <a href="https://doi.org/10.5194/amt-18-3407-2025" target="_blank" rel="noopener"> https://doi.org/10.5194/amt-18-3407-2025 </a> </li> <li> Triches, N. Y., Bolek, A., Rovamo, M., et al.: <em>Light and dark conditions control the nitrous oxide uptake and emission dynamics in a subarctic, nutrient-poor permafrost peatland</em>, Commun Earth Environ, 7, 471, 2026. <br> DOI: <a href="https://doi.org/10.1038/s43247-026-03698-3" target="_blank" rel="noopener"> https://doi.org/10.1038/s43247-026-03698-3 </a> </li> </ol>

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.047
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0030.011
Open science0.0070.014
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.029

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.

Opus teacher head0.024
GPT teacher head0.264
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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