Dataset citations
Citations tracked across NEMAR and OpenNeuro neuroscience datasets, scored for relevance and refreshed automatically from the NEMAR catalog.
753 Datasets tracked
8,957 High-confidence citing papers 12,603 attributions across datasets
477 Datasets with high-confidence citations
Counts include only high-confidence citations and exclude BIDS / methods / standards reference papers. 2,584 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 |
|---|---|
| 2000 | 1 |
| 2003 | 2 |
| 2004 | 4 |
| 2005 | 3 |
| 2006 | 23 |
| 2007 | 27 |
| 2008 | 29 |
| 2009 | 36 |
| 2010 | 67 |
| 2011 | 75 |
| 2012 | 95 |
| 2013 | 134 |
| 2014 | 134 |
| 2015 | 150 |
| 2016 | 177 |
| 2017 | 222 |
| 2018 | 361 |
| 2019 | 460 |
| 2020 | 555 |
| 2021 | 705 |
| 2022 | 824 |
| 2023 | 943 |
| 2024 | 1,151 |
| 2025 | 1,453 |
| 2026 | 1,311 |
Citation confidence
Confidence split of citation-dataset attributions (methods papers excluded).
- High-confidence (≥ 0.4) 12,603 (83%)
- Lower-confidence (< 0.4) 2,584 (17%)
| High-confidence (≥ 0.4) | 12,603 | 83% |
| Lower-confidence (< 0.4) | 2,584 | 17% |
Datasets by modality
Recording modality of datasets with citations (from the NEMAR catalog).
- EEG 402 (80.4%)
- MEG 43 (8.6%)
- iEEG 40 (8%)
- EMG 1 (0.2%)
- Other 14 (2.8%)
| EEG | 402 | 80.4% |
| MEG | 43 | 8.6% |
| iEEG | 40 | 8% |
| EMG | 1 | 0.2% |
| Other | 14 | 2.8% |
Top datasets
- A dataset of EEG recordings from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects on004504 232
- UC San Diego Resting State EEG Data from Patients with Parkinson's Disease on002778 215
- MDD Patients and Healthy Controls EEG Data nm000114 163
- Perturbed beam-walking task on003739 162
- BNCI 2015-009 AMUSE (Auditory Multi-class Spatial ERP) dataset nm000234 160
- Imagined Emotion Study on003004 138
- Brennan2019: EEG during Alice in Wonderland Listening nm000180 127
- OpenBMI SSVEP EEG dataset (Lee et al. 2019) nm000273 100
- Lee et al. 2019 (ERP) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy nm000323 100
- Lee et al. 2019 (Motor Imagery) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy nm000338 99
- Auditory-Visual Shift Study on002893 99
- EEG Motor Movement/Imagery Dataset on004362 99
- Wang2016 – SSVEP Wang 2016 dataset nm000126 98
- Imagined speech EEG dataset — short and long words (Nguyen et al. 2017) nm000224 98
- Nieuwland et al. 2018: Multi-site N400 Replication Study nm000228 98
- Imagined speech EEG dataset — short words condition (Nguyen et al. 2017) nm000257 98
- EEG recordings for 200 object images presented in RSVP sequences at 5Hz or 20Hz on004018 98
- Ear-EEG Sleep Monitoring 2019 (EESM19) on005185 98
- FACED - Finer-grained Affective Computing EEG Dataset nm000112 97
- Liu2020 – BETA SSVEP benchmark dataset nm000129 97
- BNCI 2019-001 Motor Imagery dataset for Spinal Cord Injury patients nm000149 97
- Imagined speech EEG dataset — long words condition (Nguyen et al. 2017) nm000252 97
- Imagined speech EEG dataset — vowels condition (Nguyen et al. 2017) nm000261 96
- interictal iEEG during slow-wave sleep with HFO markings on003498 96
- BNCI 2015-001 Motor Imagery dataset nm000140 95
- BNCI 2015-010 RSVP P300 dataset nm000194 95
- Ear-EEG Sleep Monitoring 2017 (EESM17) on004348 95
- Motor Imagery dataset from Weibo et al 2014 nm000146 94
- Motor Imagery ataset from Ofner et al 2017 nm000173 94
- Shin et al. 2017 (Experiment A) — Open Access Dataset for EEG+NIRS Single-Trial Classification nm000267 94
- A dataset of EEG recordings from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects on004504 157
- MDD Patients and Healthy Controls EEG Data nm000114 76
- CHB-MIT nm000110 44
- A complementary dataset of open-eyes EEG recordings in a photo-stimulation setting from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects on006036 29
- A test-retest resting and cognitive state EEG dataset on004148 23
- A repeated awakening study exploring the capacity of complexity measures to capture dreaming during propofol sedation on005620 23
- HUP iEEG Epilepsy Dataset on004100 22
- Resting-state EEG data before and after cognitive activity across the adult lifespan and a 5-year follow-up on005385 21
- Reward gain and punishment avoidance reversal learning on004295 20
- LIGHT Hypnotherapy on006437 17
- EEG: 3-Stim Auditory Oddball and Rest in Parkinson's ds003490 16
- Simultaneous EEG and fMRI signals during sleep from humans on003768 16
- EEG: Depression rest on003478 14
- EEG: First Episode Psychosis vs. Control Resting Task 1 on003944 13
- SRM Resting-state EEG on003775 11
- VEPCON: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes on003505 11
- Visual ECoG dataset on004194 10
- EEG: First Episode Psychosis vs. Control Resting Task 2 on003947 10
- EEG, pupillometry, ECG and photoplethysmography, and behavioral data in the digit span task and rest on003838 9
- P300 dataset BI2015b from a "Brain Invaders" experiment nm000217 9
- Penn Electrophysiology of Encoding and Retrieval Study (PEERS) on004395 9
- MULTI-CLARID (Multimodal Category Learning and Resting-state Imaging Data) on005795 9
- A Resting-state EEG Dataset for Sleep Deprivation on004902 8
- A Polish Electroencephalography, Alzheimer’s Risk-genes, Lifestyle and Neuroimaging (PEARL-Neuro) Database on004796 8
- Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film on003688 7
- The Nencki-Symfonia EEG/ERP dataset on004621 7
- EEG data from an auditory oddball task on003061 7
- TMS-EEG-MRI-fMRI-DWI data on paired associative stimulation and connectivity (Shirley Ryan AbilityLab, Chicago, IL) on004024 7
- Inner Speech on003626 6
- 40Hz Auditory Entrainment on005048 6
- UC San Diego Resting State EEG Data from Patients with Parkinson's Disease on002778 215
- Perturbed beam-walking task on003739 161
- BNCI 2015-009 AMUSE (Auditory Multi-class Spatial ERP) dataset nm000234 160
- Imagined Emotion Study on003004 138
- Brennan2019: EEG during Alice in Wonderland Listening nm000180 127
- OpenBMI SSVEP EEG dataset (Lee et al. 2019) nm000273 100
- Lee et al. 2019 (ERP) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy nm000323 100
- Lee et al. 2019 (Motor Imagery) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy nm000338 99
- Auditory-Visual Shift Study on002893 99
- Wang2016 – SSVEP Wang 2016 dataset nm000126 98
- Imagined speech EEG dataset — short and long words (Nguyen et al. 2017) nm000224 98
- Nieuwland et al. 2018: Multi-site N400 Replication Study nm000228 98
- Imagined speech EEG dataset — short words condition (Nguyen et al. 2017) nm000257 98
- EEG recordings for 200 object images presented in RSVP sequences at 5Hz or 20Hz on004018 98
- Ear-EEG Sleep Monitoring 2019 (EESM19) on005185 97
- FACED - Finer-grained Affective Computing EEG Dataset nm000112 97
- Liu2020 – BETA SSVEP benchmark dataset nm000129 97
- BNCI 2019-001 Motor Imagery dataset for Spinal Cord Injury patients nm000149 97
- Imagined speech EEG dataset — long words condition (Nguyen et al. 2017) nm000252 97
- Imagined speech EEG dataset — vowels condition (Nguyen et al. 2017) nm000261 96
- EEG Motor Movement/Imagery Dataset on004362 95
- BNCI 2015-001 Motor Imagery dataset nm000140 95
- BNCI 2015-010 RSVP P300 dataset nm000194 95
- Ear-EEG Sleep Monitoring 2017 (EESM17) on004348 95
- Motor Imagery dataset from Weibo et al 2014 nm000146 94
- Motor Imagery ataset from Ofner et al 2017 nm000173 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
- interictal iEEG during slow-wave sleep with HFO markings on003498 93
- Visual object ERP EEG dataset (Kaneshiro et al. 2015) nm000263 93