nm000175
fNIRS Finger Tapping
NIRS
…is activated during a finger tapping task. Participants are asked to either…
- Participants
- 5
- Size
- 47.4 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "Finger tapping task" · page 1 of 10 · ranked by relevance
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- nm000104
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
EMG…emg2qwerty - Touch typing from wrist-based surface electromyography **Task**: Touch typing on…
- Participants
- 108
- Citations
- 1
- Size
- 223 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
- nm000105
FRL Discrete Gestures: Hand Gesture Recognition from Surface Electromyography
EMG…discrete_gestures - Discrete hand gestures from wrist-based surface electromyography **Task**: Nine…
- Participants
- 100
- Size
- 20.6 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
- on005931
Visuomotor_task
iEEG…We also provide the information on the timing of the finger tapping…
- Participants
- 8
- Size
- 818 MB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000154
on001787
EEG- Participants
- 24
- Channels
- 64
- HED
- v8.4.0
- Size
- 5.69 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005776
Electrical_Thermal_FingerTapping_2015
NIRS[ recordings from 19 healthy participants using a brain-computer music interface designed to enable real-time control of musical tempo through motor imagery. Participants performed kinesthetic motor imagery tasks—imagining squeezing a ball to increase tempo or relaxing to decrease tempo—across nine experimental runs including a calibration phase. The data were collected at 1 kHz sampling rate with 20-second epochs synchronized to music clips, providing a resource for investigating the neural correlates of intentional tempo modulation and music-based brain-computer interface design. This dataset accompanies the publication by Daly et al. (2018). Full methodological details are available in Daly et al. (2014a, 2014b).
- Participants
- 18
- Channels
- 19 (10-20)
- Size
- 2.39 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000172
High-gamma dataset described in Schirrmeister et al. 2017
EEG…motor_imagery - **Imagery tasks**: left_hand_finger_tapping, right_hand_finger_tapping…
- Participants
- 14
- Channels
- 128 (10-05)
- Citations
- 76
- HED
- v8.4.0
- Size
- 31.3 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000141
Motor execution dataset from Wairagkar et al 2018
EEG…Asynchronous voluntary finger tapping: right tap, left tap, and resting state - **Feedback…
- Participants
- 14
- Channels
- 19 (10-20)
- Citations
- 9
- HED
- v8.4.0
- Size
- 1.23 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000311
Multimodal upper-limb MI/ME EEG (Jeong et al. 2020)
EEGA multimodal EEG dataset comprising motor imagery and motor execution data from 25 healthy subjects performing 11 intuitive upper-limb movement tasks (6 reaching, 3 grasping, 2 wrist twisting) across 3 sessions. The dataset includes 71-channel EEG recordings (60 EEG, 4 EOG, 7 EMG channels) sampled at 1000 Hz with synchronized behavioral annotations, designed for brain-computer interface research and motor control applications. This is a BIDS-formatted derivative dataset converted from the original Jeong et al. 2020 publication using MOABB (Mother of All BCI Benchmarks).
- Participants
- 25
- Channels
- 71 (10-10)
- Citations
- 82
- HED
- v8.4.0
- Size
- 326 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026