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Longitudinal Multitask Wireless ECoG Data from Two Fully Implanted Macaca fuscata — README ## Overview This repository contains a wireless subdural ECoG (iEEG) dataset from *Macaca fuscata* monkeys, organized in compliance with the iEEG-BIDS specification. Recordings were acquired several times each week using a wireless, inductively powered implant. The data were curated and organized in BIDS format to facilitate reproducible research in neuroscience. Keywords: wireless subdural ECoG, iEEG, M

Participants

2

Size

41.2 GB

# Emotion Processing and Regulation Task (Static Stimuli) — EEG Dataset This dataset contains EEG recordings and behavioral data from the **Emotion Processing and Regulation** task with static emotional stimuli. * **Preregistration:** [https://osf.io/g8qey](https://osf.io/g8qey) * **Preprint:** [https://osf.io/preprints/psyarxiv/v9dt3_v2](https://osf.io/preprints/psyarxiv/v9dt3_v2) --- ## Participants * **N = 148** right-handed, neurologically healthy adults with normal or corrected-to-nor

Participants

148

Size

116 GB

# Emotion Processing and Regulation Task (Static Stimuli) — tDCS‑EEG Dataset This repository provides EEG recordings and behavioral data from the **Emotion Processing and Regulation** task conducted with **transcranial direct current stimulation (tDCS)**. * **Preregistration:** [https://osf.io/qdp3w](https://osf.io/qdp3w) * **Preprint:** [https://osf.io/qtm8r](https://osf.io/qtm8r) --- ## Overview Each participant took part in **two experimental sessions**: * **`ses-1`** — Sham stimulatio

Participants

120

Size

52.1 GB

# README ## Details related to access to the data - [ ] Data user agreement The EEG dataset is licensed under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) license. You are free to use, share, and adapt the data, provided appropriate credit is given. Please ensure compliance with any applicable ethical and institutional guidelines. Ethical approval for the data collection was obtained from the Ethics Board of the Institute of P

Participants

63

Size

34.7 GB

EEG recordings during sham neurofeedback in virtual reality Description This dataset contains EEG recordings acquired during a sham neurofeedback experiment conducted in a virtual reality (VR) environment. The study aimed to investigate how feedback valence (positive, negative, or control) modulates alpha-band activity and during an attentional task. EEG signals were recorded using a 32-channel SynAmps RT amplifier (Compumedics NeuroScan Inc., Charlotte, NC, USA) and Ag/AgCl passive electr

Participants

36

Size

10.4 GB

Experiment Details We recorded EEG from 24 pairs of participants while they performed a 4-way categorisation task based on rules they first agreed upon together. In addition, participants did a pre- and post-test on the same stimuli. Experiment length: 1 hour More information: Pre-print: Moerel, D., Grootswagers, T., Quek, G.L., Smit, S., & Varlet, M. (2025). Information alignment between interacting brains. bioRxiv. doi: https://doi.org/10.1101/2025.01.07.631802 Code: https://doi.org/10.1

Participants

24

Size

62.2 GB

TBD upon publication. Associated pre-print: https://doi.org/10.1101/2025.08.18.670829

Participants

35

Size

9.69 GB

Overview This dataset consists of raw 64-channel EEG, electrocardiography (ECG), photoplethysmography (PPG), and behavioral data recorded from 30 healthy young adults during two experimental conditions: resting state and a verbal working memory (digit span) task with serial recall. Resting-state recording During the resting-state session, participants alternated between four 1-minute blocks of eyes-closed and eyes-open resting, followed by 3 minutes 52 seconds of passive cartoon watching (“Th

Participants

30

Size

41.4 GB

Data collection took place at The MARCS Institute for Brain, Behaviour and Development in Sydney, Australia. The study was approved by the Western Sydney University Ethics Committee. We recorded EEG data while participants viewed rapid streams of videos adapted from the Validated Touch-Video Database (Smit & Rich, 2025) depicting touch to a hand. Both the adapted videos used in this project, and original videos and validation data, are available on OSF (https://osf.io/jvkqa/). There were 32 se

Participants

80

Size

108 GB

Subjects (N = 30) completed a Multiple Object Monitoring (MOM) task. Methodological details can be read within the pre-print: https://doi.org/10.1101/2025.07.10.663816 Please email ben.lowe@mq.edu.au if you have any further questions.

Participants

30

Size

6.52 GB