Rhenium isotopic and geochemical characterisation across lithospheric and surface processes across four global regions, 2019-2024
Bibliographic record
Abstract
The data resource collates novel measurements of the rhenium isotope geochemistry of various materials measured between 2019 and 2024. The data were collected as part of NERC funded research (NE/T001119) aiming to constrain the behavior of the rhenium isotope system at Earth's surface. Sampling, analyses and data collation were undertaken at Royal Holloway, Durham University and the University of Oxford. The main outputs include: Table 1 - Measurements of Icelandic groundwaters and hydrothermal systems, samples collected in September 2021 from locations around Iceland, and analysed 2021-2023. Table 2 - Measurements on multiple shale weathering profiles from sites across the USA, New Zealand, collected in the 1990s (USA) and 2018 (New Zealand), and measured between 2020-2022. Table 3 - Rhenium isotope measurements on the Eagle Ford Shale, USA, collected in the 2010s and analysed between 2021-2024. Table 4 - Rhenium elemental and isotopic measurements in igneous rocks from Iceland (Helka magmatic evolution sequence collected in the 2000s and 2010s) and Mid-Ocean Ridge in Atlantic, Indian and Pacific Oceans and analysed in 2019-2024. Table 5 - Rhenium isotopes in river sediments and river waters of the northern Mackenzie River basin, Canada, delta region, including Peel and Arctic Red Rivers. Materials were collected between 2017 and 2018 and analysed in 2019. Table 6 - Rhenium isotope measurements on Jurassic aged sedimentary rocks from the MOCHRAS core. Materials were processed and analysed between 2022 and 2025. Together, these data provide a step change in our understanding of the rhenium isotope system and how it can be applied to understand pressing environmental science questions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".