Two-way travel (TWT) time retrievals of subsurface reflectors in Phlegra Montes, Mars using SHallow RADar (SHARAD)
Bibliographic record
Abstract
This dataset supports the 2025 study titled “Regional ice-depth and thickness in Phlegra Montes, Mars from radar characterization of glacial landsystems using SHARAD” by C.N. Andres and I.B. Smith (https://doi.org/10.1029/2024JE008830). This repository provides two complementary datasets of two-way travel time (TWT) values used to investigate the surface and subsurface radar picks of viscous flow features (VFFs) or debris-covered glaciers in the Phlegra Montes region of Mars. TWT picks (or horizons) were exported from Seisware v10.8. Version 1 of the dataset includes Ice_subsurface_TWT.csv – Contains subsurface radar TWT values derived from SHARAD radargrams' basal reflectors (bottom of the glacier). MOLA_surface_TWT.csv – Contains surface TWT values from from SHARAD radargrams snapped to MOLA topography. Each dataset includes X, Y (projected coordinates), latitude, longitude, and the respective TWT values. Together, these data enable quantitative comparisons and estimations of dielectric permittivity values and/or ice thickness with surface elevation, supporting ice-volume estimates.
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.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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; both teacher heads agree on what is shown here.
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".