La Romaine Hydroelectric Complex water chemistry from 2015 to 2023 [Quebec, Canada]
Bibliographic record
Abstract
Data were collected from 2015 to 2023 across the four reservoirs of La Romaine Hydroelectric Complex. The four reservoirs are Romaine-1 (RO1), Romaine-2 (RO2), Romaine-3 (RO3), and Romaine-4 (RO4). Samples consist of concentrations of total nitrogen (TN in mg/L), total phosphorus (TP, in ug/L), dissolved organic carbon (DOC, in mg/L), dissolved inorganic carbon (DIC, in mg/L), particulate organic carbon (POC, in mg/L), particulate organic nitrogen (PON in mg/L), chlorophyl (Chl-a, in mg/L), and C13 isotopes of POC (in permil dirac delta), and total suspended solids (TSS, in mg/L). The data set also include the samples type (river, reservoirs, tributary) and if it is a hyporheic sample), latitude and longitude, and river distance (km) for each sample. Sampling consisted of spatial across all the reservoirs (open water and bays) and longitudinal coverage of the reservoirs and river (above and below each reservoir) for each sampling camping (June and August 2015; June, August, and October 2016; June, August, and October 2017; June, August, and October 2018; June, August, and October 2021; June, August, and October 2022; June, August, and October 2023). All samples are surface water samples unless otherwise indicated in the sample type column. Included are also monthly average of input and output discharge from each reservoir from 2015 to 2023 and daily average of La Romaine River above the upmost reservoir. La Romaine Hydroelectric Complex is located in northeastern Quebec and accessed from Havre-Saint-Pierre, Quebec, Canada.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".