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Record W6930856824 · doi:10.5281/zenodo.15118507

Data supporting: Heatwaves, elevated temperature, and insecticide-induced effects at different trophic levels of a freshwater ecosystem

2025· dataset· en· W6930856824 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typedataset
Languageen
FieldMedicine
TopicBiological Stains and Phytochemicals
Canadian institutionsUniversity of Saskatchewan
FundersEuropean Commission
KeywordsTrophic levelMacrophytePeriphytonTable (database)Freshwater ecosystemBiomass (ecology)PopulationEcosystemZooplankton

Abstract

fetched live from OpenAlex

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)

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 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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.103
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.057
GPT teacher head0.297
Teacher spread0.240 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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