Uranium-Thorium ages and stable oxygen isotope data on speleothems that grew during Marine Isotope Stages (MIS) 11, 9, and 5e, Northwest Territories, Canada, 2024
Bibliographic record
Abstract
High-resolution records from past interglacial climates help constrain future responses to global warming, yet are rare. This dataset contains seasonally-resolved climate records from subarctic-Canada using micron-scale measurements of oxygen isotopes (δ18O) in speleothems with apparent annual growth bands from three interglacial periods – Marine Isotope Stages 11 (409-376 ka), 9 (336-305 ka) and MIS 5e (123-118 ka). Our study highlights the potential for high-latitude speleothems to yield detailed isotopic records of Northern Hemisphere interglacial climates beyond the reach of Greenland ice cores and offers a framework for interpreting them. Table S1 contains the Uranium-Thorium dates for six speleothems, or more specifically, flowstones, from a cave in Northwest Territories (NWT), Canada. It also contains constructed age models for each sample. Then, we applied a two-tiered methodological approach to reconstruct past subarctic climate. First, we produce an ultra-high-resolution δ18O record that, although not continuous, spans thousands of years for portions of these interglacials. This record was created using Secondary Ion Mass Spectrometry (SIMS) to measure δ18O approximately every 35-micrometer (µm) down each sample’s growth axis. This data is shown in Table S2. Second, we used Confocal Laser Fluorescence Microscopy (CLFM) to identify several fluorescent annual bands in each speleothem, which we then targeted for additional SIMS measurements. This data is shown in Table S3. Though these subarctic speleothems are small in size (most are less than 10 centimeter (cm) in length), the application of both CLFM and SIMS on these samples demonstrate their potential for providing ultra-high-resolution records of high-latitude Northern Hemisphere terrestrial climate outside of Greenland and provide insights into interpretive frameworks for future cold-region speleothem δ18O records.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".