A Unified Seismic Catalog for the Iranian Plateau (1900-2011)
Bibliographic record
Abstract
The first seismograph in Iran was installed in 1959, and this marked the beginning of the national seismic catalog. The seismic network grew with years, but its coverage, the instrumental features, and the details of magnitude calculation changed over time, resulting in a highly heterogeneous national seismic catalog. In this work, we present a unified and homogeneous catalog for the Iranian plateau (Mw ≥4), created by merging data from two local catalogs and seven international agencies, each one covering the magnitude scale and period illustrated in Figure 1. This operation requires the conversion of different magnitudes used by the single agencies to a common type. The moment magnitude (Mw) is chosen as reference for its physical meaning (Kanamori, 1977) and because it does not saturate. In this attempt to convert different magnitude scales to Mw, regression relations that take into account errors on both variables are used, and a specific statistical analysis shows that the region under study (24°N–42°N, 43°W–66°E) is better described when subdivided into two tectonic domains, Zagros and Alborz–Central Iran, characterized by different regression relations. A precedence scheme is then established to select the magnitude value to be preferred when the same event is reported by several catalogs with different magnitude scales and/or values. The resulting unified catalog for the Iranian plateau, spanning 1900–2011, is finally presented also in a declustered form for time-independent seismic hazard 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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.014 | 0.012 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".