Raw and analytical data of soil analyses in the Tatra Mountains (Poland)
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.
Bibliographic record
Abstract
This dataset contains raw and analytical data from studies conducted in Technosols at historical mining and metallurgical sites in the Tatra Mountains (Poland). The dataset includes: Mineral composition: raw data of XRD analysis (folder with RAW and EVA files). Fine-earth (<2 mm) sample bulk mineral composition was determined using the powder X-ray diffraction method (XRD). The Bruker AXS D5005 diffractometer equipped with the KRISTALLOFLEX® 760 X-ray generator, vertical goniometer, 1 mm divergence slit, 2 mm anti-scatter slit and 0.6 detector slit and a graphite diffracted-beam monochromator was used. CoKα radiation was applied with the voltage of 40 kV and 30 mA current. Random mounts of the ground materials were scanned from 3 to 70 °2θ at a counting time of 1 s per 0.02° step on a rotating stage. Chemical properties: raw and analytical data of the contents of major elements, trace elements and lanthanides in soil samples using ICP-MS method (xlsx file). Analyses were carried out in the Bureau Veritas Minerals Laboratories (BVML), Canada. SEM analyses: scanning electron microscope (SEM) images of soil samples (TIF files), EDS spectra (energy-dispersive X-ray spectroscopy, PNG files), and elemental distribution maps generated from SEM-EDS analyses (PNG files). The data are organized into structured files (xlsx, RAW, EVA, TIF and PNG) to ensure reproducibility and ease of use. This dataset supports the study's findings and provides a resource for further research on Technosols.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.007 |
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 it