Intermediate dataset of clustered body odor descriptors
datacite.FundingReference.funderName | Europäische Union | |
Contributing person | Friedrich-Schiller-Universität Jena | |
Contributing person | Croy, Ilona | |
Documentation of the data | List of the most often named body odor descriptions from five languages are given in an excel spreadsheet. Furthermore, an English translation and the number of namings for the respective words are given. | |
Countries to which the data refer | ITALY | |
Countries to which the data refer | UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND | |
Countries to which the data refer | GERMANY | |
Countries to which the data refer | CZECH REPUBLIC | |
Countries to which the data refer | CANADA | |
Countries to which the data refer | UNITED STATES OF AMERICA | |
Countries to which the data refer | HONG KONG | |
Countries to which the data refer | AUSTRIA | |
Countries to which the data refer | SWEDEN | |
Description of the data | Questionnaire data - body odor descriptions Description: This data collection will contain all intermediate and final datasets of the free descriptions of body odors from the SMELLODIonline study. | |
Type of the data | Text | |
Total size of the dataset | 12795 | |
Author | Bierling, Antonie Louise | |
Author | Croy, Ilona | |
Upload date | 2023-04-06T17:42:37Z | |
Publication date | 2023-04-06T17:42:37Z | |
Publication date | 2026-06-10T15:42:45Z | |
Data of data creation | 2023 | |
Publication date | 2023-04-06 | |
Abstract of the dataset | The dataset shows the intermediate results from 1060 participants from nine countries and five languages: German (Germany, Austria, 414 participants), English (United States, Canada, Great Britain, Sweden, 133 participants), Czech (Czech Republic, 120 participants), Italian (Italy, 86 participants) and Chinese (Hong Kong, 307 participants). In total, 6551 body odor descriptions were collected from these participants and clustered to the 20 most frequent words in each language. The number of namings as well as an English translation are provided. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/2626 | |
Public reference to this page | https://doi.org/10.25532/OPARA-214 | |
dc.language | eng | |
Publisher | Technische Universität Dresden | |
Licence | Attribution 4.0 International | |
URI of the licence text | http://creativecommons.org/licenses/by/4.0/ | |
Specification of the discipline(s) | 1::12::110 | |
Title of the dataset | Intermediate dataset of clustered body odor descriptors | |
Software | Microsoft Excel | |
Project abstract | Body odors play a subtle, but crucial role in many social situations. They are influenced by genetic connections, hormonal changes, current inflammatory processes, and diet, among other factors. Because the apocrine sweat glands are adrenaline sensitive, physiological and emotional arousal also alter body odor. Therefore, body odors enable the recognition and discrimination between different body states, emotions or diseases in our fellow human beings. Although this often happens unconsciously, piloting survey data show marked differences in the way, we describe body odors; e.g., a body odor that originates from exercise is most often described as "sweaty," whereas a body odor from a sick person is referred to as "biting." The goal of this study is to develop a valid and reliable matrix that captures how people perceive and describe different body odors. To this end, an online survey will be conducted including a minimum of n=1000 participants from different countries within and beyond Europe. Each country or language with at least n=100 participants will be included in the sample. Each participant is asked, in their respective language, to name three or more words or phrases that describe body odors in four different states (healthy, sick, stressed, after exercise) and from five body parts (from armpit, mouth, feet, male and female genitalia). The resulting body odor vocabulary from each language will be compared and the most often named words in each language will be used to generate a body odor description matrix. The study is part of the EU-funded project “Smart Electronic Olfaction for Body Odor Diagnostics (SMELLODI)” with the overall goal to digitize olfaction and make it usable for health applications, e.g. for patients with olfactory disorders. | |
Project title | Establishment of a valid and reliable system for body odor description (SMELLODIonline) |
Files
Original bundle
- Name:
- dataset-of-clustered-descriptors-03-2023.xlsx
- Size:
- 12.5 KB
- Format:
- Microsoft Excel XML
- Description:
- Spreadsheet showing the 20 most often named body odor descriptions from 1060 participants from nine countries and five languages
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