Data from "Millennial disturbance-driven forest stand dynamics in the Eastern Canadian taiga reconstructed from subfossil logs"
Bibliographic record
Abstract
These two datasets in the format tab-delimited text file (Plots.txt and Sobfossil_logs.txt) contain the data used in the article "Millennial disturbance-driven forest stand dynamics in the Eastern Canadian taiga reconstructed from subfossil logs", published in Journal of Ecology. Each row in Plots.txt contains data on a sampling plot (10 x 10 m) used to characterize the structure and composition of the present-day lakeshore forest at the site L18 or the site L20. Column headings are described below: Plot = Plot ID Lake = Lake ID LivingSpruces = Number of living spruces in the plot (No.) LivingFirs = Number of living firs in the plot (No.) LivingFirs2 = Number of living firs ≥ 2 cm DBH in the plot (No.) LivingFirsReg = Number of living firs among saplings and seedlings in the plot (No.) LivingTamaracks = Number of living tamaracks in the plot (No.) LivingTamaracks2 = Number of living tamaracks ≥ 2 cm DBH in the plot (No.) LivingTamaracksReg = Number of living tamaracks among saplings and seedlings in the plot (No.) Snags = Number of snags in the plot (No.) Stumps = Number of stumps in the plot (No.) Ncwd = Number of coarse woody debris pieces in the plot (No.) Nliv = Number of living trees in the plot (No.) Nreg = Number of saplings and seedlings in the plot (No.) Nliv2 = Number of living trees ≥ 2 cm DBH in the plot (No.) Nliv6 = Number of living trees ≥ 6 cm DBH in the plot (No.) Nliv12 = Number of living trees ≥ 12 cm DBH in the plot (No.) Age = Time since the last stand-replacing fire in the plot (i.e. maximum number of tree-rings per cored tree after applying a correction for coring height) (years) BAliv = Basal area of living trees ≥ 2 cm DBH in the plot (m2 plot-1) MeanBAliv = Average basal area per living tree ≥ 2 cm DBH in the plot (m2 plot-1) BAsnags = Basal area of snags in the plot (m2 plot-1) BAstumps = Basal area of stumps in the plot (m2 plot-1) Each row in Sobfossil_logs.txt contains data on a subfossil log sampled in the littoral zone facing the selected lakeshore segments at L18 or L20. Column headings are described below: ID = Subfossil log ID Start = Year of the first measured ring (AD year) End = Year of the last measured ring (AD year) Length = Segment length (years) Plot = Nearest lakeshore plot Cluster = Cluster of the nearest lakeshore plot Pith = Presence of the pith (1 = pith well preserved; 0 = missing pith) First_ring = Year of the first ring in the cross-section (AD year) Last_ring = Year of the last ring in the cross-section (AD year) Fire = Fire evidence (Charred_branch_tips or Charred_trunk) Species = Species of the subfossil logs (Spruce or Fir) Pith_offset = Pith offset (years) Subsequent columns = Ring widths according to cambial ages (1/100 mm) Further details can be found in the published article.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.011 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.005 |
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".