BMClab datasets
BDS: A public data set of human balance evaluations
This data set comprises signals from the force platform (raw data for the force, moments of forces, and centers of pressure) of 163 subjects plus one file with information about the subjects and balance conditions and the results of the other evaluations. Available at PhysioNet (DOI: 10.13026/C2WW2W) and at figshare (DOI: 10.6084/m9.figshare.3394432).
RBDS: A public data set of running biomechanics
Fukuchi RK, Fukuchi CA, Duarte M. (2017) A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics. PeerJ 5:e3298 https://doi.org/10.7717/peerj.3298 This data set comprises full raw and processed lower extremity gait kinematics and kinetics signals of 28 subjects in different file formats (c3d and txt). A file of metadata (in txt and xls …
WBDS: A public data set of overground and treadmill walking kinematics and kinetics of healthy individuals
Fukuchi CA, Fukuchi RK, Duarte M (2018) A public dataset of overground and treadmill walking kinematics and kinetics in healthy individuals. PeerJ 6:e4640; DOI 10.7717/peerj.4640. PubMed. The data set comprises raw and processed (both in c3d and txt formats) pelvis and lower extremity kinematics and kinetics signals of 42 healthy volunteers (24 young adults and 18 older adults) walking …
PDS: A data set with kinematic and ground reaction forces of human balance
This data set comprises signals from two force platforms (raw data for the force, moments of forces, and center of pressure) and the full-body three-dimensional kinematics of 49 subjects plus one file with meta data about the subjects and balance conditions and the results. The data set is available at Figshare DOI: 10.6084/m9.figshare.4525082 and described in the companion paper (Santos DA, Fukuchi CA, Fukuchi RK, Duarte M. (2017)).
GEDS: Dataset of inertial, magnetic, foot-ground contact, and electromyographic signals during walking
Miraldo DC, Watanabe RN, Duarte M (2020) An open dataset of inertial, magnetic, foot-ground contact, and electromyographic signals from wearable sensors during walking. Motor Control. https://doi.org/10.1123/mc.2020-0023. The dataset consists of all the data of the 22 healthy subjects plus one subject with foot drop. The data are stored in ASCII (text) format and can be downloaded …
A public dataset on long-distance running training in 2019 and 2020
Afonseca LA, Watanabe RN, Duarte M. 2022. A worldwide comparison of long-distance running training in 2019 and 2020: associated effects of the COVID-19 pandemic. PeerJ 10:e13192 https://doi.org/10.7717/peerj.13192. This dataset contains 10,703,690 records of running training during 2019 and 2020, from 36,412 athletes from around the world. The records were obtained through web scraping of a large social network for athletes …
