High angular and spectral directional reflectance dataset of snow and sea-ice
Bibliographic record
Abstract
This dataset includes the data published in Goyens et al. (2018, DOI:10.1002/2017EA000332). It provides the following parameters for the different ice, snow and ponded ice stations of the GreenEdge Ice Camp 2015: - the hyperspectral (400-1000 nm) Hemispherical Directional Reflectance Factor (HDRF, units: dimensionless) measured with Analytical Spectral Device, Inc. (ASD) over a full hemisphere with 30° angular resolution along zenith and azimuth, - the hyperangular (full hemisphere at 1° angular resolution) multispectral (438, 560 and 628 nm) upwelling irradiance (Lu, units: µW.cm^-2.sr^-1.nm^-1) measured with a circular fish‐eye radiance camera (CE600) (median Lu and coefficient of variation are provided, see Goyens et al. (2018, DOI:10.1002/2017EA000332 for more info about data processing) - the multispectral (at 406.42, 434.48, 442.33, 489.70, 508.43, 560.22 and 624.20 nm) downwelling irradiance (Ed, units: µW.cm^-2.nm^-1) measured with the OCR from Satlantic, - the hyperangular HDRF (units: dimensionless) estimated as PI times the ratio of Lu CE600 to Ed OCR at 438, 560 and 628 nm (median and coefficient of variation are provided, see Goyens et al. (2018, DOI:10.1002/2017EA000332 for data processing), and, - the columnar aerosol optical depth (AOD, units: dimensionless) at 440, 500, 675, 870 and 936 nm estimated from a Handheld 5-channel Sunphotometer Microtops II.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.069 | 0.045 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".