Data supporting: Heatwaves, elevated temperature, and insecticide-induced effects at different trophic levels of a freshwater ecosystem
Bibliographic record
Abstract
Datasets used to obtain the results of the research paper entitled: "Heatwaves, elevated temperature, and insecticide-induced effects at different trophic levels of a freshwater ecosystem", published in the journal "Environmental Research". The data derives from an outdoor (meso-) cosm experiment in the Netherlands (Wageningen University and Research, Renkum) by means of the transportable temperature and heatwave control device (TENTACLE) to investigate multiple stressors effects of two different climate change scenarios related to temperature (i.e., elevated temperature and reoccurring heatwaves) in combination with the neonicotinoid insecticide imidacloprid. The following datasets are uploaded and can be found in the respective figures of the main manuscript and Supplementary Information: Imidacloprid concentrations in water and sediment (Figure 2, Table 1, Figure S1) Water quality parameters (Figure 3, Table S1, Table S2) Water nutrients (Figure S2) Macroinvertebrate community and population dynamics (Figure 4, Figure 5, Table 2, Figure S6) Zooplankton community and population dynamics (Figure 6, Figure 7) Macroinvertebrate feeding and microbial degradation (Figure S3) Periphyton and Macrophyte biomass (Figure S4, Figure S5)
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.095 | 0.049 |
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".