Dataset Intelligence (288 δΈͺ)
- EEG Motor Movement/Imagery Dataset85.0
- EEG Motor Movement/Imagery Dataset (EEGBCI alias)83.0
- CAP Sleep Database77.0
- Examining effects of arousal on responses to salient and non-salient stimuli in younger and older adults68.0
- Sleep-EDF Database Expanded68.0
- Multisubject, multimodal face processing67.0
- Auditory and Visual Oddball EEG-fMRI66.0
- Neural Processing of Emotional Musical and Nonmusical Stimuli in Depression64.0
- Learning and memory: motor skill consolidation and intermanual transfer62.0
- ds000201_R1.0.562.0
- Competition between items in working memory leads to forgetting62.0
- Training of loss aversion modulates neural sensitivity toward potential gains60.0
- Social cognitive tasks (animate movement task, moral judgment task, false belief task)60.0
- ds00011560.0
- Milky-Vodka60.0
- Dinesh4488/P300_BCNN_LSTM_PIPELINE59.0
- heresana/Emotion-Recognition-Using-EEG59.0
- KVSATEJESH0345/P300_BCNN_LSTM_PIPELINE59.0
- ranessaamarante/Emotion-Recognition-from-EEG-Using-GAT-with-Four-Electrodes59.0
- shafeek1004/EEGEmotion-MTEHRA59.0
- yideng-Cedric/Cloud-Edge-EEG-Emotion-Recognition-under-Communication-Constraints-59.0
- YYingDL/SSAA-MSDA59.0
- Visual imagery and false memory for pictures58.0
- Affective Videos58.0
- ds000238_R1.0.158.0
- andymgibson/COGS_189_Brain_Computer_Interfaces57.0
- BehtomAdeli/Auditory-OddBall57.0
- Chris-Winnard/DAAMEE-experiment57.0
- Chris-Winnard/poly52bids57.0
- m-granat/cnn-for-eeg-tsc57.0
- Maramy93/microsleep-attention-gru57.0
- OpenNeuroDatasets/ds00646657.0
- OpenNeuroDatasets/ds00648057.0
- OpenNeuroDatasets/ds00782757.0
- preranamohanty21-ux/EEG-ERP-Analysis-Mini-Project-57.0
- Incidental encoding task (Posner Cueing Paradigm)56.0
- Modafinil alters intrinsic functional connectivity of the right posterior insula: a pharmacological resting state fMRI study56.0
- ds000217_R1.0.156.0
- ds000256_R1.0.056.0
- 7T resting state test-retest56.0
- Example MR artifacts56.0
- Brother-Five/spare-beyesian55.0
- ChiaraBenini/evolutionary-snn-nas55.0
- hoang-nguyenthe/EUREKA2025-Secure-BCI-with-Homomorphic-Encryption-A-Case-Study-on-EEG-Based-P300-Classification55.0
- Isti23/bigp3bci-eeg-bci55.0
- IvanDanielVillegas/EEG-P300-Dataset55.0
- jomy-kk/AutICA55.0
- Kyungho-Won/EEG-dataset-for-RSVP-P300-speller55.0
- luismadhe/LEBci-database55.0
- nemarDatasets/nm00013655.0
- nemarDatasets/nm00023655.0
- nemarDatasets/nm00026255.0
- nemarDatasets/nm00026955.0
- NeuralLabIITGuwahati/CorrCA-application-on-a-P300-based-EEG-Dataset-55.0
- NorhanAbdelhafez/NeuroPhone-RealTime-BrainMobilePhone-Interface55.0
- RutujaaP/Evaluation-of-Boosting-Algorithms-for-P300-Detection-in-EEG-Signals55.0
- saurabhkumarverma44/eeg-trial-minimization-ERP-CORE-OPENneuro-datasets-55.0
- vranathunga/P300-EEG-Signal-Analysis55.0
- ds00000754.0
- ds00000954.0
- Maturational Changes in Anterior Cingulate and Frontoparietal Recruitment Support the Development of Error Processing and Inhibitory Control (Antistate)54.0
- ds000208_R1.0.054.0
- ds000210_R1.0.154.0
- ds000221_R1.0.054.0
- Washington University 12054.0
- AaronCherian404/Emotion-Recognition-from-EEG-A-Hybrid-Approach-Using-Autoencoders-and-LSTM53.0
- Abhi-Shek-2003/EMOTION-RECOGNITION-BASED-ON-EEG-SIGNALS-USING-DEAP-DATASET53.0
- Ahmed-Habashy/Dataset-BCI-competition-iv-set153.0
- ajtheb/EEG-Emotion-Recognition-SRU-model-53.0
- AndreaAmorosini/Emotion-Recognition-On-SEED-IV53.0
- benreyhani15/BCI-ML53.0
- dolphin-in-a-coma/multi-task-cnn-eeg-emotion53.0
- Georgesig777/EEG-Classification-BCI-Thesis53.0
- hi-akshat/Emotion-Recogniton-from-EEG-Signals53.0
- IoBT-VISTEC/EEG-Emotion-Recognition-INTERFACES-datasets53.0
- joaoaraujo1/BCI_DeepL53.0
- krishk97/ECE-C247-EEG-GAN53.0
- Meltemi-Q/eeg-emotion-recognition-domain-subject-adaptation53.0
- michal-nahlik/neurips-beetl-202153.0
- nemarDatasets/on006040 mirror53.0
- nubcico/EAV53.0
- OpenNeuroDatasets/ds006040 mirror53.0
- r0m4k/EmotionRecognitionDeepLearning53.0
- renhong-zhang/eeg-emotion-recognition-with-vit53.0
- sarshardorosti/EEG_DataSet53.0
- siddhi5386/Emotion-Recognition-from-brain-EEG-signals-53.0
- soumyajit4419/Emotion-Recognition-from-Psychological-Signals53.0
- umitkacar/multimodal-affective-computing53.0
- vipulSharma18/Automatic-Emotion-Recognition-on-DEAP-Dataset53.0
- yunzinan/BCI-emotion-recognition53.0
- YYingDL/NSAL-DGAT53.0
- YYingDL/PCL-TDGCN53.0
- Classification learning52.0
- The Midnight Scan Club (MSC) dataset52.0
- Prospective Remembering52.0
- Personally familiar faces52.0
- aa32/ISRUC_EEG51.0
- Abhishek-Iyer1/emotion-classifcation-eeg-seed-ensemble51.0
- Affective-Neural-Interaction-Group/MeME51.0
- alixmsv/Sleep-Project51.0
- Amirtrs/ADHD-EEG-Detection-Info51.0
- Arka95/Human-Emotion-Analysis-using-EEG-from-DEAP-dataset51.0
- ashine92/Sleep-Stage-Classification-from-Single-Channel-EEG51.0
- Aya-Ai-2022/Sleep-physionet-age-Dataset-_BCI-project51.0
- BarnaliBhowmik/Sleep_Stage_EEG_Dataset51.0
- Chris1I/Physics-188-Sleep-Studies51.0
- dandisets/00057451.0
- danielakbank/eeg-sleep-staging51.0
- dddclod/EEG-Depression-Diagnosis-A-Transformer-Based-Model-for-EEG-Informed-Depression-Diagnosis51.0
- dweidai/DEAP-JRP-Emotion-Classification51.0
- etherral17/sleep-apnea51.0
- fdettori/SleepStageNet51.0
- HimanshuIITP/EEG-memory-gen51.0
- ignaciolinari/sleep-ST51.0
- IoBT-VISTEC/MetaSleepLearner51.0
- IoBT-VISTEC/MUSEC51.0
- kparth9835/EEG-SLEEP-STAGE-CLASSIFICATION51.0
- leolin304577-afk/EEG-Dataset-for-Sleep-Deprivation-Analysis51.0
- MartinAburto/SleepStageClassification51.0
- miftahulridwan/EEG-Sleep-stages-classification51.0
- mohamedalisadek/Sleep-Stage-Classification-using-Temporal-Convolutional-Networks51.0
- nemarDatasets/on00475251.0
- nemarDatasets/on00490251.0
- Niiku21/EEG-Sleep-Edf-Analysis51.0
- NZX23/EEG-Emotion-Classification51.0
- OpenNeuroDatasets/ds00434851.0
- OpenNeuroDatasets/ds00475251.0
- OpenNeuroDatasets/ds00490251.0
- OpenNeuroDatasets/ds00517851.0
- OpenNeuroDatasets/ds00518551.0
- OpenNeuroDatasets/ds00669551.0
- OpenNeuroDatasets/ds00684851.0
- Piyush-Bhardwaj/EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning51.0
- rajavavek/Automatic-Sleep-Stage-Segmentation51.0
- ravithemore/REM-Sleep-Classification51.0
- SambitSahuIT/Emotion-Classification-by-EEG-DEAP-Dataset51.0
- sameekshya1999/EEG-Sleep-Stage-Classification51.0
- saraMtd/ADHD_Dataset51.0
- StandardData-ADHD/ADHD---Dataset51.0
- StandardData-ADHD/ADHD_Dataset-ExcelFiles-51.0
- stefan-ehrlich/dataset-affective-music-BCI51.0
- stuartfogel/detect_spindles51.0
- tigerkrittaphas/eareegssclassification51.0
- tsukisshi/mouse-sleep-dataset51.0
- tuengominh/deap-eeg-classification51.0
- vijay28101305/EEG-Classification51.0
- weilheim/EEG51.0
- wstonehouse/fMRI-GLM51.0
- Z-Fran/DEAP-EEG-Emotion-Analyse-and-Classify51.0
- Classification learning and tone-counting50.0
- ds000138_R2.0.050.0
- ds000144_R1.0.050.0
- ds00014850.0
- Block design food and nonfood picture viewing task50.0
- Offline Processing in Associative Learning50.0
- EUPD Cyberball50.0
- Adjudicating between face-coding models with individual-face fMRI responses50.0
- Phonological memory in sign language relies on the visuomotor neural system outside the left hemisphere language network50.0
- ds000245_R1.0.050.0
- BTC_preop50.0
- anuraj1996/Multiclass-classification-of-visual-stimuli-on-EEG-signals-from-single-channel-SSVEP-based-brain-com49.0
- SunnyDeshpande/LSTM-CNN-Epilepsy-Prediction-with-EEG49.0
- ds00000848.0
- ds00010148.0
- ds00010248.0
- Developmental changes in brain function underlying the influence of reward processing on inhibitory control (Slot Reward)48.0
- Immaturities in Reward Processing and Its Influence on Inhibitory Control in Adolescence (Ring Reward)48.0
- Multiband Multi-Echo Imaging of Simultaneous Oxygenation and Flow Timeseries for Resting State Connectivity48.0
- Flavour Pleasantness (Regular Products)48.0
- Cost Analysis TBI48.0
- Neural responses to naturalistic clips of behaving animals in two different task contexts48.0
- ds000249_R1.0.048.0
- NKI-sample48.0
- Sherlock_Merlin48.0
- Decoding intentions of self and others48.0
- Unnamed Dataset48.0
- ds00146.0
- ds00000546.0
- ds00001746.0
- ds00012246.0
- ds00021846.0
- Magnitude Effect46.0
- Integration of sweet taste and metabolism determines carbohydrate reward - study 146.0
- sherlock46.0
- singleFingerRSA46.0
- NumberlineMarking46.0
- Rhyme judgment44.0
- ds00000644.0
- ds00005244.0
- Unnamed Dataset44.0
- Pre-adolescents Exposure to Manganese44.0
- ds00024844.0
- ds000254_R1.0.044.0
- ds000255_R1.0.044.0
- ds000258_R1.0.044.0
- Generic Object Decoding44.0
- bisal2003/Thought-to-Speech-BCI43.0
- mugiwarafx/BCI-Competition-IV-Experiments-data-set-B43.0
- Sherwinroy2918/Cognitive-state-EEG-dataset43.0
- Sherwinroy2918/eeg-dataset43.0
- VDimovaEdeleva/dataset-ErrP-Human-Agent-Collaboration43.0
- aradar1/attention-pattern-prediction42.0
- artipago/Travelling-waves-EEG-2.042.0
- BjoernHoltze/EarEEGAuditoryAttentionMeasures42.0
- Chris-Winnard/Musical-Auditory-Attention-Decoding42.0
- hvchem/CNN-GRU-Attention-EEG-Seizure-Detection42.0
- Luciana-Nicacio/eeg_dataset42.0
- nevenamit/aad-from-eeg42.0
- OpenNeuroDatasets/ds00481642.0
- OpenNeuroDatasets/ds00481742.0
- Rakshat28/EEG-Attention-Prediction42.0
- Simurgh818/mutual_information_analysis42.0
- XXuefeii/AASD42.0
- yanruofan628/saad-preprocessing42.0
- Cross-language repetition priming42.0
- Visual object recognition42.0
- ds00023142.0
- tothemoon10080/CHB-MIT-data-preprocessing-and-prediction41.0
- Word and object processing40.0
- The human Voice Areas: spatial organisation and inter-individual variability in temporal and extra-temporal cortices40.0
- Stroop Task40.0
- The heterogeneity in retrieved relations between the personality trait 'Harm avoidance' and gray matter volumes due to variations in the VBM and ROI labeling processing settings40.0
- Sequential Inference VBM40.0
- ds000240_R1.0.040.0
- ds000241_R1.0.040.0
- Social predictive coding40.0
- Twilight Zone Movie Watching Dataset40.0
- State representation pictures40.0
- Human-Object Interaction40.0
- sports_betting_study40.0
- ds113c_R1.0.040.0
- physionet_s01_baseline_eyes_closed39.0
- KrishnaVeer7712/DIGITS-CLASSIFICATIONS-USING-ELECTROENCEPHALOGRAPHY-SIGNALS36.0
- Larryzpl123/mi-bci-failure-diagnosis36.0
- nemarDatasets/on00614236.0
- OpenNeuroDatasets/ds00614236.0
- sstober/openmiir36.0
- zal-ghiffari/Pluto-Polygraph36.0
- T1-weighted structural MRI study of cannabis users at baseline and 3 years follow up36.0
- ds00023632.0
- ds00023428.0
- basel-shehabi/EEG-Synthetic-Data-Using-GANs26.0
- bids-standard/bids-matlab26.0
- BUVANEASH/EEG-Motor-Imagery-Classification---ANN26.0
- ICLab4DL/GGN26.0
- ncclabsustech/EEGdenoiseNet26.0
- Promise-Z5Q2SQ/EEG-ImageNet-Dataset26.0
- YG-paaleee/eegauge26.0
- ds00020626.0
- ds00023526.0
- The brain of Chris26.0
- ds00110726.0
- Inverse Base Rate26.0
- AccSrd/multimodal-Parkinson-data-processing23.0
- Ahmed-Habashy/Dataset-BCI-competition-iv-2b23.0
- AlessioZanga/PyEEGLab23.0
- Baizhige/EEGUnity23.0
- cbhanu/BCI_EEGNet23.0
- chasebos91/GAN-for-Synthetic-EEG-Data23.0
- eegdash/EEGDash23.0
- GuanjianLiu/EEG_Attention_Dataset23.0
- gzoumpourlis/DEAP_MNE_preprocessing23.0
- hisunjiang/Public-datasets-of-BCI23.0
- hubandad/eeg-dataset23.0
- Jiazhen-Hong/EEGLAB-tutorial23.0
- mahmudinamin/thesis-eeg23.0
- matlab-deep-learning/Abnormal-EEG-Signal-Classification-Using-CNNs23.0
- MatthewK3023/EEG-Classification23.0
- meagmohit/EEG-Datasets23.0
- mne-tools/mne-bids23.0
- njt005/Machine-Learning-for-EEG-Dataset-Generalization23.0
- openlists/ElectrophysiologyData23.0
- OpenNeuroDatasets/ds00450423.0
- plcrodrigues/py.VR.EEG.2018-GIPSA23.0
- RL-BCI-Lab/deepbci23.0
- secondlevel/EEG-classification23.0
- unicorn-bi/Unicorn-BCI-Core-8-EEG-Datasets23.0
- ycq091044/ContraWR23.0
- BCI Competition IV Dataset 2a0.0
- BCI Competition IV Dataset 2b0.0
- Driver fatigue EEG dataset0.0
- Cho2017 motor imagery dataset0.0
- Multi-Ethnic Study of Atherosclerosis Sleep0.0
- Sleep Heart Health Study0.0
- OpenNeuro ds0017870.0
- OpenNeuro ds0039690.0
- Sustained Attention Task (gradCPT) Dataset using simultaneous EEG-fMRI and DTI0.0
- OpenNeuro ds0071690.0