Dataset Intelligence
- EEG Motor Movement/Imagery Dataset84.8
- CAP Sleep Database79.2
- BCI Competition Datasets77.5
- Sleep-EDF Database72.4
- Examining effects of arousal on responses to salient and non-salient stimuli in younger and older adults68.3
- Neural Processing of Emotional Musical and Nonmusical Stimuli in Depression66.0
- Competition between items in working memory leads to forgetting65.6
- Learning and memory: motor skill consolidation and intermanual transfer64.0
- Auditory and Visual Oddball EEG-fMRI64.0
- Affective Videos62.5
- AaronCherian404/Emotion-Recognition-from-EEG-A-Hybrid-Approach-Using-Autoencoders-and-LSTM61.6
- AndreaAmorosini/Emotion-Recognition-On-SEED-IV61.6
- Dinesh4488/P300_BCNN_LSTM_PIPELINE61.5
- heresana/Emotion-Recognition-Using-EEG61.5
- KVSATEJESH0345/P300_BCNN_LSTM_PIPELINE61.5
- ranessaamarante/Emotion-Recognition-from-EEG-Using-GAT-with-Four-Electrodes61.5
- shafeek1004/EEGEmotion-MTEHRA61.5
- yideng-Cedric/Cloud-Edge-EEG-Emotion-Recognition-under-Communication-Constraints-61.5
- YYingDL/SSAA-MSDA61.5
- Abhi-Shek-2003/EMOTION-RECOGNITION-BASED-ON-EEG-SIGNALS-USING-DEAP-DATASET61.0
- dolphin-in-a-coma/multi-task-cnn-eeg-emotion61.0
- hi-akshat/Emotion-Recogniton-from-EEG-Signals61.0
- Meltemi-Q/eeg-emotion-recognition-domain-subject-adaptation61.0
- renhong-zhang/eeg-emotion-recognition-with-vit61.0
- umitkacar/multimodal-affective-computing61.0
- dandisets/00057460.6
- nemarDatasets/on00475260.6
- OpenNeuroDatasets/ds00475260.6
- OpenNeuroDatasets/ds00684860.6
- sameekshya1999/EEG-Sleep-Stage-Classification60.6
- wstonehouse/fMRI-GLM60.6
- Maramy93/microsleep-attention-gru60.5
- ajtheb/EEG-Emotion-Recognition-SRU-model-60.1
- IoBT-VISTEC/EEG-Emotion-Recognition-INTERFACES-datasets60.1
- nubcico/EAV60.1
- r0m4k/EmotionRecognitionDeepLearning60.1
- sarshardorosti/EEG_DataSet60.1
- siddhi5386/Emotion-Recognition-from-brain-EEG-signals-60.1
- soumyajit4419/Emotion-Recognition-from-Psychological-Signals60.1
- vipulSharma18/Automatic-Emotion-Recognition-on-DEAP-Dataset60.1
- yunzinan/BCI-emotion-recognition60.1
- YYingDL/NSAL-DGAT60.1
- YYingDL/PCL-TDGCN60.1
- Visual imagery and false memory for pictures59.7
- HimanshuIITP/EEG-memory-gen59.5
- nemarDatasets/on00604059.5
- OpenNeuroDatasets/ds00604059.5
- BehtomAdeli/Auditory-OddBall59.4
- Isti23/bigp3bci-eeg-bci59.4
- Kyungho-Won/EEG-dataset-for-RSVP-P300-speller59.4
- preranamohanty21-ux/EEG-ERP-Analysis-Mini-Project-59.4
- Affective-Neural-Interaction-Group/MeME58.6
- anuraj1996/Multiclass-classification-of-visual-stimuli-on-EEG-signals-from-single-channel-SSVEP-based-brain-com58.6
- IoBT-VISTEC/MUSEC58.6
- saraMtd/ADHD_Dataset58.6
- StandardData-ADHD/ADHD---Dataset58.6
- StandardData-ADHD/ADHD_Dataset-ExcelFiles-58.6
- andymgibson/COGS_189_Brain_Computer_Interfaces58.5
- Brother-Five/spare-beyesian58.5
- ChiaraBenini/evolutionary-snn-nas58.5
- Chris-Winnard/DAAMEE-experiment58.5
- Chris-Winnard/poly52bids58.5
- hoang-nguyenthe/EUREKA2025-Secure-BCI-with-Homomorphic-Encryption-A-Case-Study-on-EEG-Based-P300-Classification58.5
- IvanDanielVillegas/EEG-P300-Dataset58.5
- jomy-kk/AutICA58.5
- luismadhe/LEBci-database58.5
- m-granat/cnn-for-eeg-tsc58.5
- nemarDatasets/nm00013658.5
- nemarDatasets/nm00023658.5
- nemarDatasets/nm00026258.5
- nemarDatasets/nm00026958.5
- NeuralLabIITGuwahati/CorrCA-application-on-a-P300-based-EEG-Dataset-58.5
- NorhanAbdelhafez/NeuroPhone-RealTime-BrainMobilePhone-Interface58.5
- OpenNeuroDatasets/ds00646658.5
- OpenNeuroDatasets/ds00648058.5
- OpenNeuroDatasets/ds00782758.5
- RutujaaP/Evaluation-of-Boosting-Algorithms-for-P300-Detection-in-EEG-Signals58.5
- saurabhkumarverma44/eeg-trial-minimization-ERP-CORE-OPENneuro-datasets-58.5
- vranathunga/P300-EEG-Signal-Analysis58.5
- Incidental encoding task (Posner Cueing Paradigm)58.1
- Abhishek-Iyer1/emotion-classifcation-eeg-seed-ensemble58.0
- Z-Fran/DEAP-EEG-Emotion-Analyse-and-Classify58.0
- SunnyDeshpande/LSTM-CNN-Epilepsy-Prediction-with-EEG57.6
- tothemoon10080/CHB-MIT-data-preprocessing-and-prediction57.4
- michal-nahlik/neurips-beetl-202157.3
- danielakbank/eeg-sleep-staging57.2
- fdettori/SleepStageNet57.2
- ignaciolinari/sleep-ST57.2
- Arka95/Human-Emotion-Analysis-using-EEG-from-DEAP-dataset57.1
- dweidai/DEAP-JRP-Emotion-Classification57.1
- NZX23/EEG-Emotion-Classification57.1
- Piyush-Bhardwaj/EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning57.1
- SambitSahuIT/Emotion-Classification-by-EEG-DEAP-Dataset57.1
- stefan-ehrlich/dataset-affective-music-BCI57.1
- tuengominh/deap-eeg-classification57.1
- weilheim/EEG57.1
- Amirtrs/ADHD-EEG-Detection-Info57.0
- Multisubject, multimodal face processing56.6
- aa32/ISRUC_EEG56.3
- alixmsv/Sleep-Project56.3
- ashine92/Sleep-Stage-Classification-from-Single-Channel-EEG56.3
- Aya-Ai-2022/Sleep-physionet-age-Dataset-_BCI-project56.3
- BarnaliBhowmik/Sleep_Stage_EEG_Dataset56.3
- Chris1I/Physics-188-Sleep-Studies56.3
- etherral17/sleep-apnea56.3
- IoBT-VISTEC/MetaSleepLearner56.3
- kparth9835/EEG-SLEEP-STAGE-CLASSIFICATION56.3
- MartinAburto/SleepStageClassification56.3
- miftahulridwan/EEG-Sleep-stages-classification56.3
- mohamedalisadek/Sleep-Stage-Classification-using-Temporal-Convolutional-Networks56.3
- nemarDatasets/on00490256.3
- Niiku21/EEG-Sleep-Edf-Analysis56.3
- OpenNeuroDatasets/ds00434856.3
- OpenNeuroDatasets/ds00490256.3
- OpenNeuroDatasets/ds00517856.3
- OpenNeuroDatasets/ds00518556.3
- OpenNeuroDatasets/ds00669556.3
- rajavavek/Automatic-Sleep-Stage-Segmentation56.3
- ravithemore/REM-Sleep-Classification56.3
- stuartfogel/detect_spindles56.3
- tigerkrittaphas/eareegssclassification56.3
- tsukisshi/mouse-sleep-dataset56.3
- vijay28101305/EEG-Classification56.3
- dddclod/EEG-Depression-Diagnosis-A-Transformer-Based-Model-for-EEG-Informed-Depression-Diagnosis56.1
- Ahmed-Habashy/Dataset-BCI-competition-iv-set156.0
- leolin304577-afk/EEG-Dataset-for-Sleep-Deprivation-Analysis54.7
- Social cognitive tasks (animate movement task, moral judgment task, false belief task)54.0
- benreyhani15/BCI-ML54.0
- Georgesig777/EEG-Classification-BCI-Thesis54.0
- joaoaraujo1/BCI_DeepL54.0
- krishk97/ECE-C247-EEG-GAN54.0
- Phonological memory in sign language relies on the visuomotor neural system outside the left hemisphere language network53.9
- Sherwinroy2918/Cognitive-state-EEG-dataset51.6
- Sherwinroy2918/eeg-dataset51.6
- Adjudicating between face-coding models with individual-face fMRI responses48.0
- ds000201_R1.0.547.9
- Personally familiar faces45.5
- ds00011545.1
- ds000238_R1.0.145.0
- Training of loss aversion modulates neural sensitivity toward potential gains44.4
- bisal2003/Thought-to-Speech-BCI44.4
- Milky-Vodka44.4
- ds000256_R1.0.043.2
- Example MR artifacts43.2
- mugiwarafx/BCI-Competition-IV-Experiments-data-set-B42.6
- VDimovaEdeleva/dataset-ErrP-Human-Agent-Collaboration42.6
- artipago/Travelling-waves-EEG-2.042.4
- Chris-Winnard/Musical-Auditory-Attention-Decoding42.4
- Rakshat28/EEG-Attention-Prediction42.4
- yanruofan628/saad-preprocessing42.4
- ds000217_R1.0.142.1
- ds000210_R1.0.141.9
- KrishnaVeer7712/DIGITS-CLASSIFICATIONS-USING-ELECTROENCEPHALOGRAPHY-SIGNALS41.6
- nemarDatasets/on00614241.6
- OpenNeuroDatasets/ds00614241.6
- sstober/openmiir41.6
- zal-ghiffari/Pluto-Polygraph41.6
- aradar1/attention-pattern-prediction41.5
- BjoernHoltze/EarEEGAuditoryAttentionMeasures41.5
- hvchem/CNN-GRU-Attention-EEG-Seizure-Detection41.5
- Luciana-Nicacio/eeg_dataset41.5
- nevenamit/aad-from-eeg41.5
- OpenNeuroDatasets/ds00481641.5
- OpenNeuroDatasets/ds00481741.5
- Simurgh818/mutual_information_analysis41.5
- XXuefeii/AASD41.5
- The Midnight Scan Club (MSC) dataset41.5
- Modafinil alters intrinsic functional connectivity of the right posterior insula: a pharmacological resting state fMRI study40.3
- 7T resting state test-retest40.2
- Prospective Remembering40.2
- ds00000940.2
- ds00000740.1
- ds000221_R1.0.039.1
- Washington University 12039.1
- Cross-language repetition priming38.8
- ds000208_R1.0.038.7
- Maturational Changes in Anterior Cingulate and Frontoparietal Recruitment Support the Development of Error Processing and Inhibitory Control (Antistate)38.7
- Classification learning38.6
- ds000138_R2.0.038.6
- ds00000838.5
- Classification learning and tone-counting38.5
- Neural responses to naturalistic clips of behaving animals in two different task contexts38.5
- Visual object recognition38.0
- Multiband Multi-Echo Imaging of Simultaneous Oxygenation and Flow Timeseries for Resting State Connectivity37.7
- NKI-sample37.4
- Sherlock_Merlin37.4
- ds00014836.2
- ds000144_R1.0.036.1
- ds000245_R1.0.036.1
- ds00001736.0
- EUPD Cyberball36.0
- BTC_preop36.0
- Offline Processing in Associative Learning36.0
- Block design food and nonfood picture viewing task35.9
- Integration of sweet taste and metabolism determines carbohydrate reward - study 135.7
- Larryzpl123/mi-bci-failure-diagnosis34.9
- ds00005234.4
- ds00024834.4
- ds000255_R1.0.034.4
- ds000258_R1.0.034.4
- sherlock34.4
- Generic Object Decoding34.4
- Immaturities in Reward Processing and Its Influence on Inhibitory Control in Adolescence (Ring Reward)34.2
- ds00010234.2
- Developmental changes in brain function underlying the influence of reward processing on inhibitory control (Slot Reward)34.2
- Cost Analysis TBI34.2
- ds000249_R1.0.034.2
- Decoding intentions of self and others34.2
- Unnamed Dataset34.2
- ds00010134.1
- Flavour Pleasantness (Regular Products)34.1
- ds00023133.2
- ds00021832.6
- Magnitude Effect32.6
- NumberlineMarking32.6
- singleFingerRSA32.6
- ds00012232.6
- ds00132.6
- ds00000532.6
- ds00000632.5
- Pre-adolescents Exposure to Manganese32.5
- Rhyme judgment32.5
- Unnamed Dataset32.5
- ds000254_R1.0.032.5
- physionet_s01_baseline_eyes_closed29.1
- Word and object processing28.4
- The human Voice Areas: spatial organisation and inter-individual variability in temporal and extra-temporal cortices28.4
- Stroop Task28.4
- ds000241_R1.0.028.4
- Social predictive coding28.4
- Twilight Zone Movie Watching Dataset28.4
- State representation pictures28.4
- Human-Object Interaction28.4
- sports_betting_study28.4
- ds113c_R1.0.028.4
- 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 settings28.0
- Sequential Inference VBM27.8
- ds000240_R1.0.027.5
- T1-weighted structural MRI study of cannabis users at baseline and 3 years follow up25.1
- ds00023621.6
- ds00023419.0
- ds00023517.5
- ds00020617.4
- The brain of Chris17.4
- ds00110717.4
- Inverse Base Rate17.4
- basel-shehabi/EEG-Synthetic-Data-Using-GANs17.0
- bids-standard/bids-matlab17.0
- BUVANEASH/EEG-Motor-Imagery-Classification---ANN17.0
- ICLab4DL/GGN17.0
- ncclabsustech/EEGdenoiseNet17.0
- YG-paaleee/eegauge17.0
- AccSrd/multimodal-Parkinson-data-processing16.1
- Ahmed-Habashy/Dataset-BCI-competition-iv-2b16.1
- AlessioZanga/PyEEGLab16.1
- Baizhige/EEGUnity16.1
- cbhanu/BCI_EEGNet16.1
- chasebos91/GAN-for-Synthetic-EEG-Data16.1
- eegdash/EEGDash16.1
- gzoumpourlis/DEAP_MNE_preprocessing16.1
- hisunjiang/Public-datasets-of-BCI16.1
- hubandad/eeg-dataset16.1
- Jiazhen-Hong/EEGLAB-tutorial16.1
- mahmudinamin/thesis-eeg16.1
- matlab-deep-learning/Abnormal-EEG-Signal-Classification-Using-CNNs16.1
- MatthewK3023/EEG-Classification16.1
- meagmohit/EEG-Datasets16.1
- mne-tools/mne-bids16.1
- njt005/Machine-Learning-for-EEG-Dataset-Generalization16.1
- openlists/ElectrophysiologyData16.1
- OpenNeuroDatasets/ds00450416.1
- plcrodrigues/py.VR.EEG.2018-GIPSA16.1
- RL-BCI-Lab/deepbci16.1
- secondlevel/EEG-classification16.1
- ycq091044/ContraWR16.1
- Promise-Z5Q2SQ/EEG-ImageNet-Dataset15.4
- GuanjianLiu/EEG_Attention_Dataset14.5
- unicorn-bi/Unicorn-BCI-Core-8-EEG-Datasets14.5