EEG dataset investigating whether episodic future thinking can reduce temporal discounting. Participants described a series of personal future events and were then cued to think about these events while making intertemporal choices. They also rated the vividness of their mental imagery for each event.
…naming, auditory naming and working memory tasks). All participants provided a written…
This dataset contains raw EEG recordings, in BrainVision format and organized according to BIDS, from participants silently reading word-by-word naturalistic narratives. It accompanies a study of auditory representations of words evoked during silent visual reading. Derivatives include preprocessed word-level EEG epochs, story and run metadata, expected/unexpected epoch labels, and corresponding feature embeddings.
NeuroMorph is a magnetoencephalography (MEG) dataset with high temporal resolution, designed for morpheme-based linguistic analysis. It contains recordings from 24 participants, totaling over 17 hours of data, acquired with a 208-channel KIT/Yokogawa magnetometer system. The dataset supports research on the neural processing of morphology during language comprehension.
…82901/nemar.on003519) Visual Working Memory. Mostly unpublished! Beh data published here…
[ Visual working memory in control & sub-acute mild TBI…
EEG dataset investigating the neural representation of consciously seen and unseen information. The recordings were collected by Rodríguez-San Esteban, Chica, and González-López and are shared in BIDS format. The dataset is mirrored on NEMAR from OpenNeuro (ds005273).
ROAMM (Reading Observed At Mindless Moments) is a multimodal dataset of simultaneous EEG and eye-tracking recordings from 44 participants during naturalistic reading, with span-level mind-wandering annotations collected through a retrospective self-report paradigm. It serves as a benchmark for mind-wandering detection and EEG-to-text decoding, and supports research on how attention lapses degrade language decoding from brain activity. Synchronized machine-learning-ready data, reading stimuli and page-level comprehension scores are included.
…org/10.82901/nemar.on007176) Longitudinal EEG Test-Retest Reliability in Healthy…