Source parameters of Acoustic Emissions from triaxial experiments on Westerly granite, Aue Granite and Flechtigen Sandstone
Bibliographic record
Abstract
This dataset is supplementary material to "What controls the presence and characteristics of aftershocks in rock fracture in the lab?" by Joern Davidsen, Thomas H. W. Goebel, Grzegorz Kwiatek, Sergei Stanchits, Jordi Baro and Georg Dresen (Davidsen et al., 2021). The dataset contains source parameters of acoustic emission events recorded during triaxial fracture and friction (stick-slip) experiments performed on two Westerly Granite samples, Aue Granite and Flechtigen Sandstone. Basic seismic catalog associated with each experiment contains origin time, hypocentral location in local Cartesian coordinate system of the sample, acoustic-emission derived magnitude and polarity coefficient (a simplified measure of mechanism type: shear, pore opening or collapse). Extended catalog information is available for selected experiments including information whether event is background seismicity, trigger of following events or triggered by preceding events. In addition, we provide information on focal mechanisms calculated in each experiment using full moment tensor inversion. Focal mechanism catalogs include information on strike, dip and rake of two nodal planes, and percentage of isotropic, clvd and double-couple components of the full moment tensor. The detailed description of catalog is provided in the data description file which is also included in the zip folder of the data.
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 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.066 | 0.076 |
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".