GNSS Scintillation and ionospheric currents plots and movies, and positioning data, for the geomagnetic storm of May 2024
Bibliographic record
Abstract
The geomagnetic storm of May 2024 was a major space weather event.This repository contains supplementary material for the paper "Scintillation in the Arctic during the May 2024 Mother’s Day storm". List of files with descriptions: CurrentsAndScint_Europe.zip Movie files of horizontal currents and phase scintillation for the european region. CurrentsAndScint_NA.zip Movie files of horizontal currents and phase scintillation for the north american region. DMSP_20240511_1455to1510.zip Plots of DMSP and scintillation data for 2014-05-11 14:55 to 15:10. DMSP_SelectedPlots.zip Plots of DMSP and scintillation data for a selection of times during the event. movie_Scint_20240510to20240512.avi Movie file of phase scintillation for the entire event. PositioningData.zip Positioning performance data files for Network RTK positioning near Tromsø in Norway, and relevant format descriptions.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.400 | 0.252 |
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".