on006446
Cueing the future to reduce temporal discounting
EEG
[
- Size
- 16.1 GB
- Version
- v1.0.0
- Updated
- Jun 18, 2026
Discover datasets
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- on005241
NeuroMorph: A High-Temporal Resolution MEG Dataset for Morpheme-Based Linguistic Analysis
MEG Zarr[
- Size
- 92.8 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on005087
rapid-hemifield-object-eeg
EEG Zarr[ or multiple (N = 1) temporal lobe structures, with additional onset zones…
- Participants
- 6
- Size
- 41.7 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on006979
Examining Perceptual Grouping on Stages of Processing in Visual Working Memory: An ERP Study
EEG Zarr…The study is designed to temporally isolate and measure the neural correlates…
- Participants
- 53
- Channels
- 64 (10-10)
- Size
- 269 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- on004252
Rotation-tolerant representations elucidate the time course of high-level object processing
EEG ZarrThis dataset contains electroencephalography (EEG) recordings from 16 participants viewing object images presented in eight different 2-D rotations. Images were shown in rapid serial visual streams at two presentation rates (5 Hz and 20 Hz). The data support investigation of the time course of rotation-tolerant, high-level object representations in the human brain.
- Participants
- 16
- Citations
- 4
- Size
- 18.3 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- on004017
Embodied Learning for Literacy EEG
EEG Zarr fidelity issue…A two-alternative forced choice discrimination task including letters "b" and "d…
- Participants
- 21
- Channels
- 64 (10-10)
- Size
- 36.6 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- on007964
Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
EEG ZarrRaw 128-channel EEG data from 20 observers viewing object images in a rapid presentation paradigm, together with representational dissimilarity matrices. The dataset supports time-resolved neural decoding analyses that separate objects' contextual associations from their perceptual and conceptual attributes. One participant was excluded because of a technical recording error, leaving 19 usable participants.
- Participants
- 19
- Citations
- 2
- Size
- 18.9 GB
- Version
- v1.0.0
- Updated
- Jun 17, 2026
- on005810
NOD-MEG
ANAT MEG Zarr…spatial representation patterns but is limited in capturing the temporal dynamics inherent…
- Participants
- 31
- Size
- 215 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026