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Record W3003386732 · doi:10.1016/j.dib.2020.105208

Yeast (Saccharomyces cerevisiae) GC/EI/MS metabolomics dataset

2020· article· en· W3003386732 on OpenAlexaff
Dimitra A. Karamanou, Konstantinos A. Aliferis

Bibliographic record

VenueData in Brief · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsMcGill University
FundersAgricultural University of AthensNational and Kapodistrian University of AthensJohns Hopkins University
KeywordsMetabolomeYeastMetabolomicsSaccharomyces cerevisiaeBiologyBiochemistryChemistryBioinformatics

Abstract

fetched live from OpenAlex

Gas chromatography-electron impact-mass spectrometry (GC/EI/MS) global profiling of the endo-metabolome of wild and genetically engineered yeast (Saccharomyces cerevisiae) strains was performed. The strains were treated or not with sub-lethal doses of the fungicide flusilazole, in order to mine the involvement of the ABC transporter YCF1, which is located in the yeast vacuole membrane, in its resistance to fungicides. Raw GC/EI/MS total ion chromatograms (*.cdf format) of the yeast endo-metabolome were recoded, which are included in this article. Since yeast is a model organism, the dataset could serve as a reference for yeast metabolomics studies related to the investigation of the effects of bioactive ingredients on its metabolism. The dataset support the research article “Karamanou D. and Aliferis K.A, 2019. The yeast (Saccharomyces cerevisiae) YCF1 vacuole transporter: evidence on its implication into the yeast resistance to flusilazole as revealed by GC/EI/MS metabolomics. Pest. Biochem. Physiol. doi: https://doi.org/10.1016/j.pestbp.2019.09.013”. 10.1016/j.pestbp.2019.09.013.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0160.021

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 head0.113
GPT teacher head0.305
Teacher spread0.193 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2020
Admission routes1
Has abstractyes

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