nm000281
emg2pose: Surface EMG and Hand Pose
EMG
…converted using a fast parallel adaptation of facebookresearch/emg2pose PR #6, contributed…
- Participants
- 97
- Size
- 740 GB
- Version
- v1.0.3
- Updated
- Aug 31, 2026
Discover datasets
76 results for "Domain Adaptation" · page 3 of 8 · ranked by relevance
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- on006460
High-DensityvSparsefNIRS_WordColorStroop_HD_Anderson_2025
NIRSThis dataset comprises high-density functional near-infrared spectroscopy (fNIRS) measurements acquired during a Word-Color Stroop task. The study compares high-density multi-distance fNIRS configurations with sparse fNIRS arrangements to evaluate their relative sensitivity in detecting brain activity during cognitive control tasks. Data were collected from multiple participants with concurrent behavioral performance metrics.
- Participants
- 17
- Size
- 460 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006902
Profound neuronal differences during Exercise-Induced Hypoalgesia between athletes and non-athletes revealed by functional near-infrared spectroscopy
NIRS…This athlete-specific response may result from endurance training adaptations, such as…
- Participants
- 42
- Size
- 5.51 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003682
Model-based aversive learning in humans is supported by preferential task state reactivation
BEH MEGThis derivative dataset contains processed MEG data from a study investigating the neural mechanisms of model-based aversive learning in humans. The research examines how task state representations are preferentially reactivated during aversive learning, providing insights into the computational and neural basis of threat-related decision-making and learning processes.
- Participants
- 28
- Size
- 302 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on005406
EEG frequency tagging reveals the integration of dissimilar observed actions
EEG[
- Size
- 13.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007714
Cambridge_data
NIRSCambridge fNIRS dataset containing functional near-infrared spectroscopy (fNIRS) neuroimaging data collected using optical neuroimaging techniques. This dataset is a NEMAR mirror of the raw fNIRS dataset from OpenNeuro (ds007714). For detailed information about participants, experimental design, data collection methods, study protocols, authors, and funding, please refer to the original dataset on OpenNeuro at https://openneuro.org/datasets/ds007714 and its associated documentation.
- Participants
- 64
- Size
- 1.25 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005131
Evoked responses to elevated sounds
BEH EEG[
- Size
- 22.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005574
The "Podcast" ECoG dataset
ANAT iEEGThis dataset comprises intracranial electrocorticography (ECoG) recordings from 9 epilepsy patients implanted with grid, depth, and strip electrodes (1,330 electrodes total), collected while participants listened to a 30-minute naturalistic story containing over 5,000 words. It provides raw and minimally preprocessed (high-gamma band) neural data along with aligned auditory stimuli, word-level transcripts, and linguistic features spanning low-level acoustics to large language model embeddings. The dataset is intended to support research on natural language comprehension using high-fidelity invasive recordings and includes tutorials replicating prior findings.
- Participants
- 9
- Citations
- 4
- Size
- 14.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000150
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 1
BEH…correct answers. - “Domain” question type is a general domain knowledge question that…
- Size
- 880 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005241
NeuroMorph: A High-Temporal Resolution MEG Dataset for Morpheme-Based Linguistic Analysis
MEGNeuroMorph is a high-temporal resolution MEG dataset designed for morpheme-based linguistic analysis, comprising recordings from 24 subjects totaling over 17 hours of data. Data were collected using a KIT/Yokogawa MEG system to investigate visual language and cognitive processing, with a focus on morphological structure in written language comprehension.
- Participants
- 24
- Size
- 140 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026