Hydrographic and velocity data during Leg 1 of the R/V Hespérides MOC2 cruise, 7-18 April 2010, western equatorial Atlantic
Bibliographic record
Abstract
This dataset consists of 47 CTD and LADCPs casts from the sea surface down to 5000 m. These hydrographic casts were done during the first leg of the MOC2-Equatorial oceanographic cruise, which took place in the western equatorial Atlantic (5°S-5°N; 46°W-30°W] between 7 and 18 April 2010, onboard the R/V Hespérides. Temperature and conductivity were obtained with a SeaBird 911-Plus multi-probe system mounted on a 24 Niskin-bottle rosette that collected water samples at standard depths, which were used to calibrate the conductivity data. Duplicate temperature and conductivity sensors were used as a quality control measure. The LADCPs were RDI 300 kHz Workhorse Monitor instruments used in synchronized master-slave mode. The system was set to a ping-rate of 1 ping/s and a bin length of 10 m, and the data was processed using the IFM-GEOMAR LADCP software, Version 10.8. The LADCPs velocity data were de-tided using the TPXO.3 global model of ocean tides. The netcdf file MOC2_leg1.nc contains data interpolated linearly every 1 m from surface to 1500 m depth.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.007 |
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".