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Data Releases


ABCD Data Release 1.1 available
now on the NIMH Data Archive!

The first annual curated ABCD data release 1.0 was made available to the scientific community in February 2018. Subsequently, the Data Analysis and Informatics Center (DAIC) of the ABCD Consortium addressed errors related to some of the imaging-derived tabulated data, improved the formatting of some measures, and made enhancements (e.g., assessment summary scores; imaging QC metrics) to the data. These changes are included in ABCD Data Release 1.1.  Click here for a brief summary of the modifications included in Data Release 1.1. Full details will be included in the Release Notes for Data Release 1.1.

Click here for interim baseline data demographics for the first 4,521 participants (47.5% female; 52.4% male)

Annual Curated Data Release 1.0

Annual Curated Data Release 1.0 is available on NIMH Data Archive!

Click here for interim baseline data demographics for the first 4,521 participants (47.5% female; 52.4% male)

About Curated Data

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. Click here to view what the baseline data includes.

Fast-track Imaging Data Release

The ABCD Study, in partnership
with the NIMH Data Archive (NIDA),
releases fast-track unprocessed neuroimaging data and basic participant demographics. Click here for more information.



Data Opportunities


Data Exploration and Analysis Portal (DEAP) available now on the NIMH Data Archive

Authorized users now have access to the ABCD Data Exploration and Analysis Portal (DEAP) via the NIMH Data Archive to facilitate analysis of ABCD Study data. The DEAP allows users to analyze ABCD Study data online, while providing appropriate statistical models and tools that take advantage of the study design.

Announcing a Registered Reports special issue
at Cortex for the ABCD Study!

Cortex has partnered with the ABCD Study with a special call
for Stage 1 Registered Reports proposing analysis plans
of the upcoming 2019 data release.
Click here for more information.

ABCD Neurocognitve Prediction Challenge


The ABCD Neurocognitive Prediction Challenge (ABCD-NPC 2019) invites researchers to submit their method for predicting fluid intelligence from t1-weighed MRI (11K subjects in total, age 9-10 years old). The data of about 4K individuals will be provided for training. The validity of each method will be assessed on its predicted fluid intelligence scores of the remaining 7K children, whose actual scores will be revealed after the challenge deadline. Downloading the data requires approval by the NIMH Data Archive (NDA). An application form will need to be signed by the affiliated institution, so start the application process early.
~ December 15, 2018:   Data Available for Download with Specific Submission Instructions
~ January 15, 2019:   Team Registration Deadline
~ March 10, 2019:   Submission Deadline
~ October 13-19 2019:   Meeting (in conjunction with MICCAI 2019, Shenzhen, China)
For more information, please visit: http://sibis.sri.com/abcd-np-challenge. ABCD-NPC 2019 Organizers: Wes Thompson, UCSD, and Kilian M. Pohl, SRI International


ABCD Study Methods Publications

ABCD Study investigators have published papers describing the study's design and analysis plans.

Click here to download a manuscript describing the neuroimage processing pipeline used for ABCD Data Release 1.1. This article has been made available as a preprint on bioRxiv for investigators to reference the methods without having to wait for peer review and final publication.

Click here to access a special issue of Developmental Cognitive Neuroscience dedicated to the study's rationale, aims, and assessment strategies.