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Researchers collected data for a closer look at the science behind human smell perception. (Krakenimages.com/Shutterstock)
In a nutshell
- German researchers collected smell perceptions from 1,227 everyday people for 74 different chemical odors, creating the most comprehensive dataset of how ordinary people experience and describe smells.
- The study found that while humans share consistent patterns in how we rank smells (for pleasantness, intensity, etc.), there’s also substantial individual variation in how we perceive identical odors.
- This research could lead to practical applications like digital smell technology, more effective artificial flavors, and improved medical diagnostics, as certain diseases can affect body odor in detectable ways.
JENA, Germany — Why does freshly cut grass smell like summer? What makes a bakery’s aroma so universally appealing? And why do some smells trigger vivid memories while others repulse us instantly? Despite being one of our most primal senses, our understanding of how humans perceive smell remains surprisingly limited.
A new study published in Scientific Data has taken a major step toward decoding this mysterious sense by creating an extremely thorough dataset of human odor perception. Researchers from German universities have collected detailed smell descriptions and ratings of 74 different chemical odors from over 1,200 people, providing an unprecedented map of how average people, not perfume experts, experience and describe scents.
The Mystery of Smell
For decades, scientists have struggled to answer a seemingly simple question: why does an odor smell the way it does? While we’ve identified roughly 400 smell receptor genes that somehow recognize over a million different scents, the connection between a molecule’s chemical structure and its perceived smell remains largely mysterious.
“The chemical structure of everything in our environment that we can smell is generally very complex. We are usually unable to say exactly what odor the individual chemical components emit, as the individual substances dock onto different receptors in the nose depending on their composition. For example, we don’t know how a certain amount of carbon atoms smells,” says study author Antonie Bierling from the Institute of Psychology at the University of Jena, in a statement.
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Most existing smell databases come from trained perfumers or industry experts using predefined labels, making them less representative of how ordinary people perceive odors. This new research addresses this gap by collecting perceptions from everyday people, offering a more authentic picture of the human smell experience.
The research team recruited 1,227 participants, primarily young adults, who smelled and described a diverse array of 74 mono-molecular odors (simple chemical compounds with just one type of molecule). Since having each person smell all 74 odors would lead to sensory fatigue, participants were divided into nine groups, with each group testing 10 odors. Two “anchor” odors appeared in all groups for comparison, while the other eight were unique to each group.
Participants first wrote down their own descriptions of each scent, then rated them on eight characteristics: pleasantness, intensity, familiarity, warmth, coldness, edibility, disgust, and irritation. They also indicated whether each smell could be described by 16 qualitative labels like “sweet,” “chemical,” “floral,” or “musky.”
Beyond just collecting odor perceptions, researchers gathered data on participants’ demographic backgrounds, personality traits, and the role smell plays in their daily lives. This extensive dataset offers a foundation for investigating how factors like gender, age, and personality influence smell perception.
What They Discovered
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The study backed up what past research has found but also brought some fresh insights to the table. Like expert studies before it, participants’ ratings followed clear patterns, especially when it came to how pleasant certain smells were. But at the same time, there were big differences in how people described and experienced the same odors.
When researchers compared their results to a 2016 study on everyday smell perception, they found strong similarities in how people ranked odors for pleasantness, familiarity, edibility, and intensity. This suggests that, despite our personal differences, there are some universal patterns in how humans perceive scents.
One of the most interesting takeaways is that our sense of smell is surprisingly stable over time. When participants were tested a week later, their ratings and descriptions were remarkably consistent, especially for how pleasant, edible, or disgusting an odor seemed.
Beyond the Lab: Real-World Applications
This research isn’t just academic curiosity. Understanding the relationship between molecular structure and smell perception has practical applications ranging from creating more effective artificial flavors to developing digital smell technologies. It might even help clinicians better diagnose and treat smell disorders, which affect millions worldwide and can significantly impact quality of life.
“Our smartphone, for example, can recognize our face or our voice – but when it comes to digital smelling, developers are still coming up against fundamental limits,” explains Alexander Croy, a physicist from the Institute of Physical Chemistry at the University of Jena. “With the help of such research results, however, we are already getting closer to the electronic nose and may even be able to identify our own body odor at some point.”
Building a Language of Smells
One of the study’s most interesting aspects is how it captures the subjective language people use to describe smells. The researchers standardized and translated participants’ free-form descriptions, creating a valuable linguistic map of smell perception. For example, they tracked how often people used terms like “lemon,” “chemical,” or “sweet” to describe each odor.
The international research team purposely selected a diverse array of molecular compounds that span the “chemical space” of possible odors. They carefully controlled the concentration of each substance so that all smells would have roughly similar intensity, allowing for more accurate comparisons.
Smell is perhaps our most emotional sense. A scent can instantly transport us to childhood memories or trigger strong feelings of attraction or repulsion. This powerful connection to emotion and memory makes smell unique among our senses and particularly difficult to study objectively.
In a move toward practical applications, the researchers are making their results available to the public through an app. This allows anyone to explore the dataset and potentially contribute to our collective understanding of smell perception.
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The Jena and Dresden research team isn’t stopping with this study. As part of a project called “SMELLODI” (Smart Electronic Olfaction for Body Odour Diagnostics), they’ve collaborated with international colleagues to develop another dataset focused specifically on body odors.
“We know that certain diseases have an impact on body odor. It can, therefore, be very helpful in recognizing and diagnosing illnesses to record it in detail,” says Bierling.
Creating a Dictionary of Body Odors
This resulted in a cataloged dictionary of bodily odor descriptions in 13 languages, revealing interesting patterns across cultures. For example, participants consistently described armpit odor as sweaty, sour, and stinky; bad breath was characterized as either fresh or stinky; and foot odor was commonly described as cheesy. This second database is also accessible through an app.
The next time you catch a whiff of something that instantly triggers a memory or emotion, remember that your brain is performing an incredible feat of chemical recognition. Thanks to research like this, we’re getting closer to understanding exactly how that magic happens, one molecule at a time.
Paper Summary
Methodology
The researchers employed a carefully designed methodology to collect comprehensive data on odor perception. They recruited 1,227 participants, dividing them into nine groups with each participant evaluating 10 odors. This nested design included two ‘anchor odors’ that appeared in all groups to enable cross-group comparisons. Thus, while each group tested 10 odors, only eight were unique to that group. Most testing was conducted in participants’ homes, with odors provided in small plastic containers, though some sessions took place in laboratory settings. The study also included patients with reduced sense of smell and a “retest” group who smelled the same odors twice to assess perception stability. Participants completed online questionnaires about their demographic information and personality, then evaluated each odor by providing free descriptions and ratings on eight visual analog scales and 16 qualitative binary descriptors.
Results
The dataset revealed several important findings about odor perception. When comparing their results with a previous study from 2016, researchers found significant positive correlations for how molecules were ranked in terms of pleasantness (r = 0.68), familiarity (r = 0.58), edibility (r = 0.37), and intensity (r = 0.28). The study also demonstrated good temporal stability in odor perception. When retesting participants approximately one week later, significant correlations were found between initial and follow-up ratings, with pleasantness (r = 0.81), edibility (r = 0.79), and disgust (r = 0.77) showing the highest consistency. Comparing perceptions between home and lab settings, researchers found participants rated odors as slightly less intense and less cold at home, though these differences had small effect sizes.
Limitations
Despite its comprehensive approach, the study had several limitations. The sample primarily consisted of young, educated Germans (average age 26.18 years), limiting how well the findings might apply to other age groups and cultures. The patient sample with reduced olfactory function was smaller than planned (48 instead of 120) due to recruitment challenges during the COVID-19 pandemic. Some odors reacted chemically with their plastic containers, requiring replacements during the study. Testing conditions varied between home and laboratory environments, potentially introducing some inconsistency. The prevalence of participants reporting prior COVID-19 infection also increased throughout the study period (from about 20% in early groups to 70-80% in later groups), potentially influencing results.
Takeaways and Discussion
This dataset represents a significant contribution to olfactory research by providing a foundation for studying how molecular structure relates to smell perception. By collecting perceptions from ordinary people rather than expert perfumers, this study offers a more representative view of typical odor perception and its variability across individuals. The good test-retest reliability observed suggests that despite olfaction’s subjective nature, there are consistent patterns in how individuals perceive smells over time. The potential applications extend beyond basic science to include medical diagnostics and digital smell technologies, as evidenced by the researchers’ follow-up work on body odor perception. This research democratizes our understanding of smell by capturing how everyday people experience odors in their daily lives.
Funding and Disclosures
The research was funded through the “Olfactorial Perceptronics” project by the VolkswagenStiftung (Grant Nos. 96632 and 9B396). The follow-up SMELLODI project on body odor perception was funded by the European Union. The authors declared no competing interests. The study was published with open access under Creative Commons Attribution 4.0 International License, making the dataset freely available to other researchers through the zenodo repository. The study received ethical approval from the Ethics Committees of TU Dresden and Friedrich-Schiller-Universität Jena.
Publication Information
The study “A dataset of laymen olfactory perception for 74 mono-molecular odors” was published in Scientific Data (2025, Volume 12, Article number 347) by authors Antonie Louise Bierling, Alexander Croy, Tim Jesgarzewsky, Maria Rommel, Gianaurelio Cuniberti, Thomas Hummel, and Ilona Croy. The researchers are affiliated with institutions including Friedrich-Schiller-University Jena, TU Dresden University of Technology, and the German Centre for Mental Health. The researchers have made their data accessible through interactive apps at https://crown-dataset.streamlit.app/ for the mono-molecular odor dataset and https://bow-descriptors.streamlit.app for the body odor descriptors.