Weather records for the Elora Research Station, Elora, Ontario [Canada]: Meteorological data 2003 to 2007
Bibliographic record
Abstract
The University of Guelph, School of Environmental Sciences, Agricultural and Forest Meteorology Group, in cooperation with Environment Canada, maintains an automatic weather station at the Elora Research Station located a few kilometres south of Elora, Ontario. This station collects hourly climatic data including pressure, air temperature, relative humidity, wind direction and speed at 2m and 10m above ground, solar radiation, longwave radiation, precipitation, snow on ground, snowfall, amount of sunshine, and soil temperature. This data set includes climatic data collected from September 9, 2003 to December 31, 2007, and is presented as monthly data files broken down into five categories: hourly data, 0800 (maximum/minimum values for data collected from 1700 yesterday to 0800 today except soil temperatures which are measured at 0800), 1700 (maximum/minimum values for data collected from 0800 today to 1700 today except soil temperatures which are measured at 1700), 24 hour (data for 24 hour period from 0100 hours), and precipitation (at every minute of occurrence) data. Annual files are also available for hourly, 0800, and 1600 data. Supplement data, including hand collected temperature, humidity and precipitation data, organized by year is included. The weather station was fitted with an updated suite of instruments during August 2003 therefore a new set of meteorological parameters are being collected starting in September 2003 and the file formats are different from previous years data. The data for January 2003 to September 2003, collected using the old meteorological station, are included in the study Weather Records for the Elora Research Station, Elora, Ontario [Canada]: Meteorological data 1999 to 2003.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.011 |
| Science and technology studies | 0.002 | 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) | 0.026 | 0.012 |
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".