Nutrient and dissolved organic carbon in fresh and marine waters of Kwakshua Channel, British Columbia, Canada
Bibliographic record
Abstract
This data package contains data associated with the manuscript St. Pierre et al. (2020), to be submitted to Biogeosciences. Data in this package characterise spatial and temporal variability in nutrient (nitrogen, phosphorus, iron, silica) and dissolved organic carbon (DOC) concentrations in seven freshwater streams on Calvert and Hecate Islands, and the surface (0-5 m) waters at 13 marine stations within Meay and Kwakshua Channels on the British Columbia Central Coast. Briefly, the streams and marine stations were sampled at approximately monthly intervals between August 2014 and December 2018. Detailed information on sampling protocols, sample analysis, and data processing can be found in St. Pierre et al. (2020). There are 4 datasets associated with this package. Data dictionaries associated with each dataset are included in the ‘Data dictionary.xlsx’ spreadsheet. Methodological information is detailed in St. Pierre et al. (2020). Each dataset is described below: ‘Freshwater Chemistry (2014-2018) - Final.csv’: Concentrations of nutrients and dissolved organic carbon in mg/L. Used with discharge data to calculate stream fluxes. ‘All watershed nutrient fluxes - Final.csv’: Daily nutrient and organic carbon fluxes by watershed between 1-Aug-2014 and 31-Dec-2018. Also includes stoichiometric ratios of the fluxes. ‘Marine Nutrient + YSI data - Final.csv’: Measured surface water (0-5 m) nutrient and dissolved organic carbon chemistry across 13 marine stations in Kwakshua and Meay Channels. ‘Watershed Time Series - Rain and Air Temp.csv’: Watershed-specific monthly mean, minimum, and maximum air temperature and total monthly rainfall. Climate normals, model monthly temperature and precipitation were extracted from climatewna.com (Wang et al. 2016) using the weather station coordinates for comparison with the measured quantities and are also included. Detailed methodology is found in: St. Pierre, K.A., Hunt, B.P.V, Tank, S.E., Giesbrecht, I., Floyd, W.C., Korver, M.C., Lertzman, K. (2020) Rain-fed streams dilute inorganic nutrients but subsidise organic matter-associated nutrients in coastal waters of the northeast Pacific Ocean. [To be submitted to Biogeosciences] Associated are the discharge dataset (Korver et al. 2019a) and stream rainfall event sampling dataset (Korver et al. 2019b). Stream rainfall event chemistry is integrated into the ‘Freshwater Chemistry (2014-2018) Final.csv’ dataset.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".