Dataset citations
Citations tracked across NEMAR and OpenNeuro neuroscience datasets, scored for relevance and refreshed automatically from the NEMAR catalog.
718 Datasets tracked
7,034 High-confidence citing papers 9,266 attributions across datasets
418 Datasets with high-confidence citations
Counts include only high-confidence citations and exclude BIDS / methods / standards reference papers. 1,460 lower-confidence citations are kept and shown per dataset.
Explore the dataset & citation maps →
Citation trends
New citations per year
High-confidence citing papers first published each year.
| Year | Papers |
|---|---|
| 1979 | 1 |
| 2004 | 1 |
| 2005 | 3 |
| 2006 | 17 |
| 2007 | 20 |
| 2008 | 23 |
| 2009 | 30 |
| 2010 | 49 |
| 2011 | 56 |
| 2012 | 84 |
| 2013 | 119 |
| 2014 | 131 |
| 2015 | 138 |
| 2016 | 160 |
| 2017 | 190 |
| 2018 | 313 |
| 2019 | 394 |
| 2020 | 471 |
| 2021 | 585 |
| 2022 | 675 |
| 2023 | 748 |
| 2024 | 917 |
| 2025 | 1,154 |
| 2026 | 740 |
Citation confidence
Confidence split of citation-dataset attributions (methods papers excluded).
- High-confidence (≥ 0.4) 9,266 (86.4%)
- Lower-confidence (< 0.4) 1,460 (13.6%)
| High-confidence (≥ 0.4) | 9,266 | 86.4% |
| Lower-confidence (< 0.4) | 1,460 | 13.6% |
Datasets by modality
Recording modality of datasets with citations (from the NEMAR catalog).
- EEG 367 (84%)
- MEG 40 (9.2%)
- iEEG 30 (6.9%)
| EEG | 367 | 84% |
| MEG | 40 | 9.2% |
| iEEG | 30 | 6.9% |
Top datasets
- A dataset of EEG recordings from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects ds004504 243
- Perturbed beam-walking task on003739 162
- iEEG_visual ds005953 154
- Imagined Emotion Study ds003004 150
- Lee et al. 2019 (ERP) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy nm000323 100
- Auditory-Visual Shift Study ds002893 99
- Wang2016 – SSVEP Wang 2016 dataset nm000126 99
- Lee et al. 2019 (Motor Imagery) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy nm000338 98
- Liu2020 – BETA SSVEP benchmark dataset nm000129 97
- Nieuwland et al. 2018: Multi-site N400 Replication Study nm000228 97
- EEG recordings for 200 object images presented in RSVP sequences at 5Hz or 20Hz on004018 97
- Ear-EEG Sleep Monitoring 2017 (EESM17) ds004348 95
- BNCI 2015-001 Motor Imagery dataset nm000140 95
- Motor Imagery ataset from Ofner et al 2017 nm000173 95
- BNCI 2015-010 RSVP P300 dataset nm000194 95
- Surrey cEEGrid sleep data set ds005207 94
- Shin et al. 2017 (Experiment A) — Open Access Dataset for EEG+NIRS Single-Trial Classification nm000267 94
- Shin et al. 2017 (Experiment B) — Open Access Dataset for EEG+NIRS Single-Trial Classification nm000268 94
- Motor Imagery dataset from Cho et al 2017 nm000245 93
- Nakanishi2015 – SSVEP Nakanishi 2015 dataset nm000118 92
- PhysioNet 2018 Challenge: Sleep Arousal Detection PSG (Training) nm000225 92
- Symmetry perception and affective responses: a combined EEG/EMG study ds004347 91
- BNCI 2015-009 AMUSE (Auditory Multi-class Spatial ERP) dataset nm000234 91
- Meditation vs thinking task ds003969 90
- Sternberg Working Memory ds004117 90
- Brennan2019: EEG during Alice in Wonderland Listening nm000180 90
- Sleep-EDF Expanded: Whole-Night PSG Recordings nm000185 90
- BNCI 2014-001 Motor Imagery dataset nm000139 89
- BNCI 2014-002 Motor Imagery dataset nm000171 89
- BNCI 2014-008 P300 dataset (ALS patients) nm000169 88
- A dataset of EEG recordings from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects ds004504 116
- Multisubject, multimodal face processing on000117 50
- CHB-MIT nm000110 41
- MDD Patients and Healthy Controls EEG Data nm000114 32
- UC San Diego Resting State EEG Data from Patients with Parkinson's Disease on002778 25
- A complementary dataset of open-eyes EEG recordings in a photo-stimulation setting from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects ds006036 23
- A test-retest resting and cognitive state EEG dataset ds004148 22
- A repeated awakening study exploring the capacity of complexity measures to capture dreaming during propofol sedation ds005620 22
- Reward gain and punishment avoidance reversal learning ds004295 20
- HUP iEEG Epilepsy Dataset on004100 20
- Resting-state EEG data before and after cognitive activity across the adult lifespan and a 5-year follow-up on005385 18
- Simultaneous EEG and fMRI signals during sleep from humans ds003768 17
- Epilepsy-iEEG-Multicenter-Dataset ds003029 15
- EEG: Depression rest ds003478 13
- EEG: 3-Stim Auditory Oddball and Rest in Parkinson's ds003490 13
- EEG meditation study on001787 12
- EEG: First Episode Psychosis vs. Control Resting Task 1 ds003944 10
- Face processing EEG dataset for EEGLAB on002718 9
- SRM Resting-state EEG ds003775 9
- EEG: First Episode Psychosis vs. Control Resting Task 2 ds003947 8
- EEG, pupillometry, ECG and photoplethysmography, and behavioral data in the digit span task and rest ds003838 7
- VEPCON: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes ds003505 7
- The Nencki-Symfonia EEG/ERP dataset ds004621 7
- A dataset recording joint EEG-fMRI during affective music listening ds002725 7
- Human es-fMRI Resource: Concurrent deep-brain stimulation and whole-brain functional MRI ds002799 7
- A Resting-state EEG Dataset for Sleep Deprivation ds004902 7
- 40Hz Auditory Entrainment ds005048 6
- A Polish Electroencephalography, Alzheimer’s Risk-genes, Lifestyle and Neuroimaging (PEARL-Neuro) Database ds004796 6
- A synchronized multimodal neuroimaging dataset to study brain language processing ds004078 6
- Sternberg Working Memory ds004117 5
- Perturbed beam-walking task on003739 162
- iEEG_visual ds005953 153
- Imagined Emotion Study ds003004 150
- A dataset of EEG recordings from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects ds004504 127
- Lee et al. 2019 (ERP) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy nm000323 100
- Auditory-Visual Shift Study ds002893 99
- Wang2016 – SSVEP Wang 2016 dataset nm000126 99
- Lee et al. 2019 (Motor Imagery) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy nm000338 98
- Liu2020 – BETA SSVEP benchmark dataset nm000129 97
- Nieuwland et al. 2018: Multi-site N400 Replication Study nm000228 97
- EEG recordings for 200 object images presented in RSVP sequences at 5Hz or 20Hz on004018 97
- Ear-EEG Sleep Monitoring 2017 (EESM17) ds004348 95
- BNCI 2015-001 Motor Imagery dataset nm000140 95
- Motor Imagery ataset from Ofner et al 2017 nm000173 95
- BNCI 2015-010 RSVP P300 dataset nm000194 95
- Shin et al. 2017 (Experiment A) — Open Access Dataset for EEG+NIRS Single-Trial Classification nm000267 94
- Shin et al. 2017 (Experiment B) — Open Access Dataset for EEG+NIRS Single-Trial Classification nm000268 94
- Motor Imagery dataset from Cho et al 2017 nm000245 93
- Surrey cEEGrid sleep data set ds005207 92
- Nakanishi2015 – SSVEP Nakanishi 2015 dataset nm000118 92
- PhysioNet 2018 Challenge: Sleep Arousal Detection PSG (Training) nm000225 92
- Symmetry perception and affective responses: a combined EEG/EMG study ds004347 91
- BNCI 2015-009 AMUSE (Auditory Multi-class Spatial ERP) dataset nm000234 91
- Brennan2019: EEG during Alice in Wonderland Listening nm000180 90
- Sleep-EDF Expanded: Whole-Night PSG Recordings nm000185 90
- BNCI 2014-001 Motor Imagery dataset nm000139 89
- BNCI 2014-002 Motor Imagery dataset nm000171 89
- Meditation vs thinking task ds003969 88
- BNCI 2014-008 P300 dataset (ALS patients) nm000169 88
- ISRUC-Sleep: A comprehensive public dataset for sleep researchers. nm000111 87