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Persistent Identifier
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doi:10.25824/redu/XQT5YI |
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Publication Date
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2026-01-23 |
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Title
| Thermographic imaging of physiological transitions in mice during incremental exercise |
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Author
| Silva, Pedro Henrique Bernini (Universidade Estadual de Campinas (UNICAMP). Faculdade de Tecnologia.) - ORCID: https://orcid.org/0000-0001-5686-181X
Gobatto, Fúlvia de Barros Manchado (Universidade Estadual de Campinas (UNICAMP). Faculdade de Ciências Aplicadas.) - ORCID: https://orcid.org/0000-0002-1178-570X
Gobatto, Claudio Alexandre (Universidade Estadual de Campinas (UNICAMP). Faculdade de Ciências Aplicadas.) - ORCID: https://orcid.org/0000-0002-1441-7582
Dias, Ulisses Martins (Universidade Estadual de Campinas (UNICAMP). Faculdade de Tecnologia.) - ORCID: https://orcid.org/0000-0002-4763-3046
Angelis, André Franceschi de (Universidade Estadual de Campinas (UNICAMP). Faculdade de Tecnologia.) - ORCID: https://orcid.org/0000-0002-1674-6996 |
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Point of Contact
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Use email button above to contact.
Angelis, André Franceschi de (Universidade Estadual de Campinas (UNICAMP). Faculdade de Tecnologia.) |
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Description
| Thermographic Imaging of Physiological Transitions in Mice During Incremental Exercise / Mice Run Thermography Dataset: This repository provides a complete data package related to mice running thermography. The package consists of four main items: a PDF description of the dataset, a CSV file containing the image metadata (REDU converts automatically to a tabular format), three random sample images, and the main ZIP file containing all the images. Dataset Content and Origin -- This repository contains a ZIP file holding the entire dataset and an accompanying CSV file detailing its metadata. The data consists of 31,818 thermographic images captured during incremental treadmill running tests. The tests were conducted on 11 "C57BL/6J" mice (120 days old) and were performed without electrical stimulus. Each recording was captured during an incremental running session where animals exercised until exhaustion. The data were collected at the Laboratory of Applied Sports Physiology (University of Campinas — Unicamp), following ethical approval protocol CEUA 4940-1/2018. Technical Specifications -- The dataset is provided in a single compressed file. The total of 31,818 entries are in JPEG format. Each file has a resolution of 360 x 306 pixels and an average size of approximately 30 KB. Experimental Setup -- - Species: *Mus musculus* (C57BL/6J, 120 days old) - Camera: FLIR One Pro (7.5–13 µm spectral range, 640×512 px) - Position: 28 cm above the treadmill - Treadmill stall dimensions: 9.1 cm width × 8 cm height × 18 cm length - Recording rate: 30 Hz - Location: Laboratory of Applied Sports Physiology — Unicamp Proposed Applications -- This dataset is designed to support the classification and modeling of physiological transitions between intensity domains through thermographic imagery, while also enabling a broad range of research and development applications — such as thermal image classification and segmentation, exercise physiology modeling, domain transition detection, and data augmentation with cross-species learning — without being limited to these examples. (2025-11-14) |
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Subject
| Computer and Information Science; Medicine, Health and Life Sciences |
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Keyword
| Exercícios físicos (DLC (LCSH))
Mice run thermography |
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Related Publication
| If you use this dataset, please cite: Bernini, P., Manchado-Gobatto, F.B.M., Gobatto, C.A., Angelis, A.F., & Dias, U. (2025). Classification of Physical Exercise Intensity Domains in Thermographic Images of Mice Using Convolutional Neural Networks. Scientific Reports (Nature Portfolio). School of Technology and School of Applied Sciences, University of Campinas (UNICAMP), Brazil. |
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Notes
| Acknowledgments - CEUA Protocol 4940-1/2018 - University of Campinas: >>> Laboratory of Applied Sports Physiology >>> School of Technology (FT) >>> Support from graduate program in Technology (FT/Unicamp) |
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Production Location
| Limeira/SP |
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Funding Information
| Coordenação de Aperfeiçoamento de Pessoal de Nível Superior: CAPES: 001 |
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Depositor
| Angelis, André Franceschi de |
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Deposit Date
| 2025-11-14 |
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Declarações obrigatórias sobre ética e privacidade
| o projeto que gerou os dados foi aprovado pelo Comite de Ética em Pesquisa da Unicamp ou não envolve questões que requeiram tal aprovação; os dados que serão depositados estão de acordo com a LGPD (Lei Geral de Proteção de Dados) |