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Record W6888717908 · doi:10.21966/n0h9-cq15

Nutrient and dissolved organic carbon in fresh and marine waters of Kwakshua Channel, British Columbia, Canada

2014· dataset· en· W6888717908 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHakai Institute · 2014
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNutrientWatershedWater qualityDissolved organic carbonPrecipitationTotal organic carbonHydrology (agriculture)Surface waterSTREAMS

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.277
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.184
Teacher spread0.179 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations3
Published2014
Admission routes2
Has abstractyes

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