ISIS 2 CRC Electron Density Profiles
Bibliographic record
Abstract
This data set, provided by the Communications Research Centre (CRC) in Ottawa, Canada, consists of electron density profiles for the ionosphere above the F2 maximum (topside ionosphere). The data are computed from digital values of frequency and virtual height, scaled from ionograms that are measured by the ISIS 2 (International Satellites for Ionospheric Studies) Swept-Frequency Sounder. The data are ordered chronologically. Telemetry stations are not identified, but satellite location, Greenwich mean time of observation, solar zenith angle at the satellite, dip latitude at the satellite, total electron content down to the lowest height of topside signal reflection (normally near 300 km), and other relevant information is noted with each profile. The format gives sequences of numbers for each point scaled from the ionogram. These sequences include electron density at the successive points, and the coefficients a2, b3, b4, b5, etc. from which geometric heights can be calculated, using formulas 40 and 41 in J. E. Jackson, "The reduction of topside ionograms to electron-density profiles," Proceedings of the IEEE., p. 960, June 1969. These formulas can also be used to calculate interpolated density-height values. A CRC interpolation program (available at NSSDC) can be used with this data set. Format Description (ASCII): +------------------------------------------------+ | M | I5 | number of records | +------------------------------------------------+ each record consists of a header and then the electron density profile data HEADER: +------------------------------------------------+ |itype | I1 | spacecraft identifier | |iquality | I2 | quality index* | |date | I6 | yddd year and day of year | |time | I6 | hhmmss hour minutes and seconds | |long | F6.1 | longitude in degrees | |lat | F6.2 | latitude in degrees | |dip | F6.2 | magnetic inclination (IGRF) | |L | F5.2 | L value | |xhi | F6.1 | solar zenith angle at 100 km | |Rz12 | I3 | 12-month-running mean of sunspot number | |IG12 | I3 | 12-month-running mean of IG index | |rtec | F6.2 | TEC found in data set (units?) | |ln(NmF2) | F7.4 | IRI value for F2 peak in cm-3 | |hmF2 | F5.1 | IRI value for F2 peak height in km | |TEC_IRI | F6.2 | IRI value for TEC in TECU | |n | I3 | number of data points | +------------------------------------------------+ (*) Quality index ranges from 0 (best) to 10 (worst), actually 4 to 10 for these data sets, with a most likely value of 6. PROFILE DATA: +---------------------------------------+ |n height values: | 14I5 | h/km*10 | |n density values: | 10I7 | ln(Ne/cm-3)*100000 | +---------------------------------------+ starting with the highest value (satellite height).
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.105 | 0.144 |
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".