on005410
Semantic_conditioning
EEG
…org/10.82901/nemar.on005410) Semantic conditioning task The dataset was used…
- Participants
- 81
- Channels
- 63 (10-10)
- Size
- 19.8 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
85 results for "semantic decoding" · page 3 of 9 · ranked by relevance
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- on003703
Frequency Tagging of Syntactic Structure or Lexical Properties
MEGThis dataset comprises electroencephalography (EEG) recordings investigating the neural correlates of syntactic structure and lexical properties using frequency tagging methodology. Participants were presented with linguistic stimuli while EEG activity was recorded to identify frequency-specific neural responses associated with different linguistic features. The dataset provides raw neurophysiological data suitable for studying the temporal dynamics of language processing at the neural level.
- Participants
- 34
- Citations
- 1
- Size
- 195 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on007655
MorseEEG-ATP
BEH EEG…It may also be useful for benchmarking EEG analysis and neural decoding…
- Participants
- 32
- Channels
- 62 (10-10)
- Size
- 14.6 GB
- Version
- vv1.0.0
- Updated
- Jul 22, 2026
- on007955
EEG and autonomic responses during emotional word association
EEG…word generation and word selection * Semantic similarity measures between consecutive words ## Experimental…
- Participants
- 9
- Channels
- 8 (10-20)
- Citations
- 3
- Size
- 26.4 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on003766
A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking
BEH EEG…the dynamic decision process of semantics and preference choices in the human…
- Participants
- 31
- Channels
- 129 (egi-geodesic)
- Size
- 153 GB
- Version
- vv1.0.0
- Updated
- Jul 22, 2026
- on004276
Auditory single word recognition in MEG
BEH MEGThis dataset comprises magnetoencephalography (MEG) recordings of auditory single word recognition in human subjects. Participants listened to isolated words while neural activity was recorded, providing insights into the temporal dynamics of auditory word comprehension. The dataset is described in Gaston et al. (2022) 'Auditory word comprehension is less incremental in isolated words' published in Neurobiology of Language. The dataset includes raw MEG data, stimulus information, and associated metadata organized according to the Brain Imaging Data Structure (BIDS) standard. This is a NEMAR-converted version of OpenNeuro dataset ds004276.
- Participants
- 19
- Size
- 11.6 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on005241
NeuroMorph: A High-Temporal Resolution MEG Dataset for Morpheme-Based Linguistic Analysis
MEGNeuroMorph is a high-temporal resolution magnetoencephalography (MEG) dataset comprising recordings from 24 subjects totaling over 17 hours of data acquired using a KIT/Yokogawa system with 208 magnetometer channels. The dataset is designed to support morpheme-based linguistic analysis and investigation of language and cognitive processes through visual presentation paradigms, providing a resource for studying neural mechanisms of language processing at fine temporal resolution.
- Participants
- 24
- Size
- 140 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004212
THINGS-MEG
ANAT MEG…Understanding object representations visual and semantic processing of objects requires a broad…
- Participants
- 5
- Size
- 1.05 TB
- Version
- vv1.0.0
- Updated
- Jul 22, 2026
- on005574
The "Podcast" ECoG dataset
ANAT iEEGThe Podcast ECoG dataset provides intracranial electrophysiological recordings from 9 participants with 1,330 electrodes during natural story listening. This dataset combines high spatiotemporal resolution human electrocorticography with a naturalistic language comprehension paradigm, including raw and preprocessed high-gamma data, auditory stimuli, word-level transcripts, and linguistic features from acoustic properties to large language model embeddings. The resource includes tutorials and serves as both a pedagogical tool and foundation for investigating neural mechanisms of narrative comprehension.
- Participants
- 9
- Size
- 14.4 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on006761
Neural decoding of competitive decision-making in Rock-Paper-Scissors
EEG…Neural decoding of competitive decision-making in Rock-Paper-Scissors. Social Cognitive…
- Participants
- 31
- Channels
- 64
- Size
- 78.0 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026