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1,161 to 1,170 of 3,851 Results
R8_Set2_Ch03-04.xls
Mar 18, 2025 - Supplementary material: linoleic acid/melanin UPE spectra (UFE/CAS Prague collaboration)
MS Excel Spreadsheet - 34.1 KB - MD5: 2240bfb8dbd8cf9a723af64dae7bfda2
see lab log file for details (PDF)
R9_Set2_Ch01-02.xls
Mar 18, 2025 - Supplementary material: linoleic acid/melanin UPE spectra (UFE/CAS Prague collaboration)
MS Excel Spreadsheet - 34.2 KB - MD5: fe3413bf0b34231b1b1f13abf622f258
see lab log file for details (PDF)
R9_Set2_Ch03-04.xls
Mar 18, 2025 - Supplementary material: linoleic acid/melanin UPE spectra (UFE/CAS Prague collaboration)
MS Excel Spreadsheet - 34.1 KB - MD5: b816141fdd9eacf7cb61bc20061686de
see lab log file for details (PDF)
Dados de replicação para: DAGHAR: a benchmark for domain adaptation and generalization in smartphone-based human activity recognition
Mar 17, 2025
Napoli, Otávio Oliveira; Duarte, Dami; Alves, Patrick dos Santos; Palo Soto, Darlinne Hubert; Oliveira, Henrique Evangelista de; Rocha, Anderson de Rezende; Boccato, Levy; Borin, Edson, 2025, "Dados de replicação para: DAGHAR: a benchmark for domain adaptation and generalization in smartphone-based human activity recognition", https://doi.org/10.25824/redu/51VZSW, Repositório de Dados de Pesquisa da Unicamp, V1
DAGHAR benchmark is a curated dataset collection designed for domain adaptation and domain generalization studies in HAR tasks, using inertial sensors such as accelerometers and gyroscopes, from "A benchmark for domain adaptation and generalization in smartphone-based human activ...
Dataset of non-circular profiles in hydrodynamic bearings
Dataset of non-circular profiles in hydrodynamic bearings
Feb 24, 2025
Inacio, Matheus Victor; Dedini, Katia Lucchesi Cavalca; Daniel, Gregory Bregion, 2025, "Dataset of non-circular profiles in hydrodynamic bearings", https://doi.org/10.25824/redu/MC60TY, Repositório de Dados de Pesquisa da Unicamp, V1
The dataset was generated using a turbine model by introducing wear faults, ovalization, and a combination of ovalization with wear in the hydrodynamic bearings, as described in the paper available at https://doi.org/10.1016/j.mechmachtheory.2024.105819. This dataset contains two...
Dataset instructions.pdf
Dataset instructions.pdf
Feb 24, 2025 - Dataset of non-circular profiles in hydrodynamic bearings
Adobe PDF - 1.0 MB - MD5: c367875b20b1e684d199f850efa3f08d
This document aims to provide details about the data contained in this dataset and instructions for accessing it.
Dataset.zip
Feb 24, 2025 - Dataset of non-circular profiles in hydrodynamic bearings
ZIP Archive - 70.9 MB - MD5: 62f196cdd6cfc82fb8f217b4ffac69f0
File with folders containing all the data. The hierarchical structure of this file is described in “Dataset instructions”.
1st day.zip
Feb 24, 2025 - Lamar dataset: a study on rotating machinery failures
ZIP Archive - 4.7 GB - MD5: d2a5a3fef9fbb348e98dcd2a50c3ca65
2st day.zip
Feb 24, 2025 - Lamar dataset: a study on rotating machinery failures
ZIP Archive - 3.6 GB - MD5: 2eddb1c02af5d7340ad29f897b6d4124
3st day.zip
Feb 24, 2025 - Lamar dataset: a study on rotating machinery failures
ZIP Archive - 4.3 GB - MD5: 72088475a6bf5e419fcab2d0dd7e2b44
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