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Data Sharing

Annual Curated Data Release 1.0 Available on NIMH Data Archive!

Curated data will be released annually through the NIMH Data Archive, beginning in 2018 with an interim release that includes high quality baseline data from the first ~4500 participants, including:

  • Minimally processed brain image volumes
  • Tabulated MRI data including
    high resolution structural MRI (3D T1 – and T2 – weighted),
    diffusion MRI,
    resting-state fMRI, and
    task fMRI (Monetary Incentive Delay, Stop-Signal, and Emotional N-Back).
  • Non-imaging assessment data related to
    physical & mental health,
    substance use,
    culture & environment,
    neurocognition, and
    biospecimen analyses
  • Residential history derived data from
    EPA Smart Location Database,
    FBI Uniform Crime Report,
    American Community Survey Area Deprivation Index,
    Elevation from Google Maps, and
    NASA Socioeconomic Data and Applications Center population density and satellite-based pollution measures

The ABCD Study is designed to include a diverse population that reflects the demographics of the U.S., however these interim data may not capture that diversity as enrollment is not yet complete. All personally identifiable information is removed from the data to ensure participant confidentiality and anonymity. Data can be accessed via the NDA by researchers who obtain a free NIMH Data Archive account.

Fast-track Imaging Data Release

The ABCD Study, in partnership with the NIMH Data Archive (NDA), is releasing fast-track data containing unprocessed neuroimaging data from ABCD Study participants to date, as well as basic participant demographics (age, sex), including:

  • High-resolution structural data (3D T1 - and T2 - weighted scans)
  • Advanced diffusion MRI (multiple b-values and directions)
  • Resting State fMRI
  • Task fMRI (Monetary Incentive Delay, Stop-Signal, and Emotional N-Back), along with raw E-Prime task files for each fMRI run

Neuroimaging data are collected using a harmonized Human Connectome protocol, developed for the ABCD Study, and supported across all three major MRI scanner platforms (Siemens, General Electric, and Philips). Fast track data are in DICOM format as provided by the MRI scanners and have not undergone quality control or curation. As such, these data are most suitable for technical methods development, as the DICOM images would require pre-processing (e.g., distortion correction, movement correction, alignment) to be suitable for data analysis. The ABCD Study is designed to include a diverse population that reflects the demographics of the U.S., however these interim data may not capture that diversity as enrollment is not yet complete. Fast-track data will be released monthly.