Dissolved and particulate organic carbon chemistry for freshwater and marine stations from 2014 through 2016 on Calvert and Hecate Islands, British Columbia, Canada
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Bibliographic record
Abstract
This data package includes three datasets used to assess spatial and temporal patterns in dissolved organic carbon (DOC) and particulate organic carbon (POC) across freshwater streams and nearshore marine stations on Calvert and Hecate Islands on British Columbia’s Central Coast, associated with St. Pierre and Oliver et al. (2020, submitted). The datasets include: ‘Compiled Freshwater - Marine Dataset - Final.xlsx’: DOC and POC concentrations and stable isotope signatures across freshwater (n = 7), marine outlet-adjacent (n = 7) and marine-mid-channel (n = 6) stations, sampled during routine twice monthly or monthly surveys conducted between January 9th 2014 and November 23rd 2016. Also includes temperature, salinity, pH data (freshwater only), and total chlorophyll a concentrations (marine only) during the surveys. ‘Rainfall Events - Final.xlsx’: DOC and POC concentrations and stable isotope signatures, temperature, pH, salinity, and microbial cell counts across the two freshwater plumes surveyed during rainfall events on August 7th 2015 and September 19th 2015. ‘PARAFAC Results with all Associated Variables.xlsx’: Results of parallel factor (PARAFAC) analyses conducted on dissolved organic matter samples collected in 2016 from both freshwater and marine stations on Calvert and Hecate Islands. Sample collection and processing information can be found at: St. Pierre, K.A., Oliver, A.A., Tank, S.E., Hunt, B.P.V., Giesbrecht, I., Kellogg, C.T.E., Jackson, J.M., Lertzman, K.P., Floyd, W.C., Korver, M.C. (2020) Terrestrial exports of dissolved and particulate organic carbon to nearshore ecosystems of the Pacific coastal temperate rainforest.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it