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DataJoint Elements

DataJoint Elements are curated data pipeline modules for neurophysiology experiments. Each Element implements common patterns for specific data modalities and integrates seamlessly with other Elements and custom DataJoint pipelines.

For comprehensive documentation, tutorials, and API reference for each Element, visit the Element's repository.

Background

DataJoint Elements was developed as part of an NIH BRAIN Initiative project to disseminate open-source data management tools for neuroscience research.

  • Grant: U24 NS116470 โ€” DataJoint Pipelines for Neurophysiology
  • Institute: National Institute of Neurological Disorders and Stroke (NINDS)
  • Period: September 2020 -- August 2025
  • PI: Dimitri Yatsenko, DataJoint

The project compiled and systematized data pipeline designs from leading neuroscience laboratories into a library of reusable modules. These modules automate data ingestion and processing for common experimental modalities including extracellular electrophysiology, calcium imaging, pose estimation, and optogenetics.

DataJoint Elements is listed in the BRAIN Initiative Alliance Resource Catalog (SciCrunch ID: SCR_021894).

Neurophysiology

  • Element Calcium Imaging

    Two-photon and widefield calcium imaging analysis with Suite2p, CaImAn, and EXTRACT.

    Documentation Repository

  • Element Array Electrophysiology

    High-density probe recordings (Neuropixels) with Kilosort and spike sorting.

    Documentation Repository

Behavior

Stimulation & Imaging

Core Elements

Citation

If you use DataJoint Elements in your research, please cite:

Yatsenko D, Nguyen T, Shen S, Gunalan K, Turner CA, Guzman R, Sasaki M, Sitonic D, Reimer J, Walker EY, Tolias AS. DataJoint Elements: Data Workflows for Neurophysiology. bioRxiv. 2021.