Brain Research and Neuroscience Datasets: Looking Beyond Kaggle

Are you a researcher or a data enthusiast looking for valuable neuroscience datasets in the field of brain research?

While Kaggle is a popular go-to platform for datasets, there are several other options available that provide open-source and free data for your projects and analyses.

In this blog, we will explore various platforms that offer a plethora of datasets focusing on neuroscience and brain-related studies.

1. OpenNeuro

OpenNeuro is a free and open platform for sharing and accessing neuroscience data. It hosts a wide range of datasets, including EEG data, functional and structural brain imaging data, behavioral and cognitive data, and more. Researchers can delve into the world of brain activity through raw and preprocessed neuroimaging data, along with tools for data analysis and visualization. For those diving into EEG data analysis, OpenNeuro offers an invaluable resource to explore brain dynamics and cognition.

Key Features:

  • Access to raw and preprocessed neuroimaging data.
  • Tools for data analysis and visualization.
  • Ability to contribute and share datasets with the research community.

2. Allen Brain Map

Allen Brain Map provides an extensive collection of datasets related to the brain, offering various types of data, including gene expression data, anatomical reference atlases, and neuronal activity data. While not exclusively focused on EEG datasets, researchers can uncover insights into brain function and organization, complementing EEG studies with gene expression profiles and neuronal activity patterns.

Key Features:

  • High-quality brain atlases and reference datasets.
  • Gene expression profiles across different brain regions.
  • In situ hybridization and RNA sequencing data.

3. NeuroData Without Borders (NWB)

NeuroData Without Borders is an open data standard and software platform for sharing, storing, and analyzing neuroscience data. It aims to standardize the description and storage of neuroscience data, making it easier for researchers to share and reuse datasets. While encompassing various types of neuroscience data, NWB provides a platform for storing and analyzing EEG datasets along with neurophysiology, imaging, and behavioral data. Researchers can leverage standardized formats and tools for seamless EEG data preprocessing and analysis.

Key Features:

  • Standardized format for storing neurophysiology, imaging, and behavioral data.
  • Tools and resources for working with NWB datasets.
  • Support for collaborative research and data sharing.

4. Human Connectome Project

The Human Connectome Project provides a wealth of neuroimaging and behavioral datasets aimed at understanding the connections within the human brain. The datasets include structural and functional MRI data, behavioral measures, and demographic information.

Key Features:

  • High-resolution brain imaging data.
  • Behavioral and demographic data for research studies.
  • Connectome maps and network analyses.

5. Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC)

NITRC is a comprehensive resource for neuroimaging tools and datasets. It hosts a diverse collection of neuroimaging datasets, software tools, and resources contributed by the research community.

Key Features:

  • Diverse collection of neuroimaging datasets.
  • Access to a wide range of neuroimaging analysis tools.
  • Community forums for discussions and collaboration.

6. Brain Image Library (BIL)

The Brain Image Library is a comprehensive repository of neuroimaging datasets. It hosts a diverse range of imaging data, including MRI, fMRI, PET, and CT scans, catering to both healthy individuals and patients with neurological disorders.

Key Features:

  • Diverse collection of neuroimaging datasets for research and analysis.
  • Includes a wide range of imaging modalities for comprehensive brain study.
  • Provides access to datasets focusing on neurological disorders, offering valuable insights for clinical research and treatment development.

7. Brain/Neural Computer Interaction

The BNCI Horizon 2020 project is focused on brain-computer interfaces (BCIs). Their website provides information on BCIs, including basics, glossary, and bibliography. It also features news, events, and job opportunities. The website is maintained by the Institute of Neural Engineering at Graz University of Technology.

Key Features:

  • 29 open-source datasets in BCIs


NEMAR, the NeuroElectroMagnetic data Archive and tools Resource, is a resource for publicly shared neuroimaging data. It is funded by the NIMH BRAIN Initiative and is housed in the San Diego Supercomputer Center.

Key Features:

  • EEG, MEG, and iEEG datasets
  • Datasets can be filtered through citations, channels, and participants.


In conclusion, while Kaggle is a valuable resource for datasets, there are several other platforms tailored specifically for neuroscience and brain research that offer open-source and free data. Whether you are interested in neuroimaging data, gene expression profiles, or behavioral measures, these platforms provide a rich repository of datasets to fuel your research and analysis. Embracing open science and collaborative data sharing, these platforms play a crucial role in advancing our understanding of the brain and its complexities. Happy exploring and analyzing!

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Discover more from Osheen Jain

Subscribe now to keep reading and get access to the full archive.

Continue reading

Scroll to Top