ArticleScientific data2024
Pyrfume: A window to the world's olfactory data.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Machine learning for smell: ordinal odor strength prediction of molecular perfumery components.RSC advances · 2026Article
- Overview of AI-Based Scent Creation.Sensors (Basel, Switzerland) · 2026Review
- Grounding olfactory perception in language: Benchmarks and models for generating natural language odor descriptions.bioRxiv : the preprint server for biology · 2026Article
- Hierarchies of smell: structuring the molecular odor space using semantic taxonomies and machine learning.Chemical senses · 2026Article
- Graph Neural Networks vs. Traditional QSAR: A Comprehensive Comparison for Multi-Label Molecular Odor Prediction.Molecules (Basel, Switzerland) · 2025Article
- Predictive Models of Odor Contribution and Thresholds for Volatiles in Identification of Novel Crop Aroma Compounds.Metabolites · 2025Article
- A comparative study of machine learning models on molecular fingerprints for odor decoding.Communications chemistry · 2025Article
- A systematic review of data and models for predicting food flavor and texture.Current research in food science · 2025Review
- DeepNose: An Equivariant Convolutional Neural Network Predictive Of Human Olfactory Percepts.ArXiv · 2024Article
- Pyrfume: A window to the world's olfactory data.Scientific data · 2024Article
- A Perspective on Neuroscience Data Standardization with Neurodata Without Borders.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Transfer learning for a foundational chemistry model.Chemical science · 2024Article
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Authors and funding
11 authors.
Funding
Abstract
Advances in theoretical understanding are frequently unlocked by access to large, diverse experimental datasets. Our understanding of olfactory neuroscience and psychophysics remain years behind the other senses, in part because rich datasets linking olfactory stimuli with their corresponding percepts, behaviors, and neural pathways remain scarce. Here we present a concerted effort to unlock and unify dozens of stimulus-linked olfactory datasets across species and modalities under a unified framework called Pyrfume. We present examples of how researchers might use Pyrfume to conduct novel analyses uncovering new principles, introduce trainees to the field, or construct benchmarks for machine olfaction.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.