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Replication Data for: EEG of the dancing brain: Decoding sensory, motor and social processes during dyadic dance.
No full textThe entire dataset can be downloaded below or using the "download_dataset.sh" file.
We captured electroencephalography (EEG; 64 channels), electrooculography (EOG), electromyography (EMG, from neck and facial muscles), and full-body kinematics (22 markers) across various experimental conditions—see Bigand et al. (2024; doi: 10.1016/j.cub.2024.05.055) for details about the experiment; and its related dataverse repo for the raw full-body kinematics (https://doi.org/10.48557/UR2GBG).
The present dataset contains the full set of EEG/EMG/EOG data analysed in the study (.mat)—either cleaned and denoised (cleaned_8Hz_100fps) or only low-pass filtered and down-sampled (8Hz_100fps), the logfiles corresponding to the experimental conditions ("conds_allTrials_allSubj.mat" and "songNums_allTrials_allSubj.mat"), the acoustics and kinematics data used to predict EEG ("StimAcoustics.mat", "StimMotion_xx.mat"), and a readme file (.txt)
Replication data for: The role of RNA in the nanoscale organization of alpha-synuclein phase separation
No full textThis dataset contains data presented in the manuscript "The role of RNA in the nanoscale organization of alpha-synuclein phase separation", NAR Molecular Medicine (2025), doi: 10.1093/narmme/ugaf012
Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements
No full textThis dataset was collected to identify which sources of information (e.g., low-density vs. high-density surface electromyography, kinematics, tactile) are more informative during upper limb motor production and therefore exploitable for prosthetic applications.
We designed a setup and an experimental protocol to collect data exploitable for this investigation on healthy subjects. The idea is to combine the high spatial resolution of sEMG (low density – Cometa Srl and high density – OT-Bioelettronica), measuring the myoelectric activation patterns of the forearm muscles actuating the wrist and the fingers, with kinematic (Vicon) and tactile information (haptic glove). While kinematics can be useful to correct EMG-based information during the execution of movements, tactile information can be helpful in increasing the information content during object manipulation and exploration
Replication Data for: Behavioral inflexibility through overtraining is mediated by reduced mGluR1/5 signaling capacity in the dorsolateral striatum
No full textDataset for Figures: 1-S1; 2-S2; 3-S3; 4-S4; 5-S
Replication Data for: PCHands: PCA-based Hand Pose Synergy Representation on Manipulators with N-DoF
No full textA collection of human demonstrations in multiple manipulation tasks, using 4 manipulators. This dataset also contains the model checkpoint and normalization for the Reinforcement Learning (RL) environment:
Model checkpoint for the Conditional Variational Auto-Encoder (CVAE)
Collected teleoperated demonstrations
Baked demonstrations for RL training
Normalization stat for RL training
For details usage, see source code.
This dataset is publicly released with the referenced Humanoids 2025 publication.
Please cite the publication if you find this dataset useful.
HF is another alternative to download this dataset
Replication data for: NKCC1 Inhibition Improves Sleep Quality and EEG Information Content in a Down Syndrome Mouse Model
No full textThis dataset comprises EEG/EMG data acquired from a population of wild type and Ts65Dn mice being administered either vehicle or bumetanide treatment. The baseline is recorded over 24 hours, then a 6-hours sleep deprivation is performed and the following 18-hours recovery recorded. Data were recorded through the Dataquest A.R.T. telemetry system (Data Science International). Signals were digitized at a sampling rate of 500 Hz with a filter cut-off of 50 Hz. EEG signals were filtered at 0.3 Hz (low-pass filter) and 0.1 kHz (high-pass filter). The polysomnographic recordings were visually scored offline using SleepSign software (Kissei Comtec Co. Ltd, Japan) per four second epoch window to identify wakefulness, non-REM or REM sleep stages. Scoring was performed by an observer blinded to the experimental groups. Specifically, Wake, non-REM and REM states were scored when characteristic EEG/EMG activity occupied 75% of the epochs. EEG epochs determined to have artefact (interference caused by mouse scratching, movement, eating, or drinking) were excluded from the analysis. Artefact comprised <5-8% of all recordings used for analysis. More details can be found in the attached Readme.txt file
Replication Data for: Self-experience of an aversive event modulates responses to other stressed mice in a medial prefrontal CRF-dependent manner
No full textMatlab code and data underlying all the figures appearing in the related scientific article. Article abstract: Our own experience of emotional events influences how we approach and react to others’ emotions. Here, we observe that mice exhibit divergent inter-individual responses to others in stress, i.e. preference or avoidance, only if they have previously experienced the same aversive condition. These responses are estrus-dependent in females and dominance-dependent in males. Notably, silencing the expression of the corticotropin-releasing factor (CRF) within the medial prefrontal cortex (mPFC) attenuates the impact of stress self-experience on the reaction to others’ stress. In vivo microendoscopic calcium imaging revealed that mPFC-CRF neurons are activated more towards others’ stress only following the same negative self-experience. Optogenetic manipulations confirmed that higher activation of mPFC-CRF neurons is responsible for the switch from preference to avoidance of others in stress, but only following stress self-experience. These results provide a neurobiological substrate underlying how an individual’s emotional experience influences their approach towards others in a negative emotional state
Replication Data for "Powering a molecular delivery system by harvesting energy from the leaf motion in wind"
No full textThe raw data contained in this dataset support the manuscript titled "Powering a molecular delivery system by harvesting energy from the leaf motion in wind"
Replication data for: Charge generation by passive plant leaf motion at low wind speeds: design and collective behavior of plant-hybrid energy harvesters
No full textThis dataset contains the data for figures in the article "Charge generation by passive plant leaf motion at low wind speeds: design and collective behavior of plant-hybrid energy harvesters", Bioinspiration and Biomimetics (2024), https://doi.org/10.1088/1748-3190/ad5ba1
Replication Data for "Neural encoding of musical expectations in a non-human primate"
No full textThese data support the study "Neural encoding of musical expectations in a non-human primate". We recorded neural activity (EEG) and pupillometry from two reshus monkeys whilst they were passively exposed to music. We then compared the EEG data to open source EEG data obtained from humans listening to the same music. The dataset consists of two sub-dasets: 1. raw EEG data from the two monkeys. 2. EEG and pupil results of the study