The “Narratives” collection aggregates fMRI datasets acquired over the course of seven years (2011–2018) while participants listened to spoken stories. In aggregate, participants listened to 27 diverse stories ranging from ~3 to ~56 minutes for a total of ~4.6 hours of unique audio stimuli. The collection currently includes 345 unique subjects participating in a total of 891 functional scans with accompanying anatomical data. Data are organized into a machine-readable format according to the BIDS standard with exhaustive metadata derived from the original DICOMs. Anonymized subject labels are linked across sessions and include demographic and behavioral variables including age, gender, condition, and comprehension score. Auditory stimuli are included in the dataset for non-commercial scholarly research—principally feature extraction—under fair use or fair dealing provisions. The data collection amounts to over 350,000 functional volumes of story-listening fMRI data and accompanying stimuli, totaling 6.4 days.

Data Release Download

The data are available for download in an Amazon Web Services S3 bucket: s3://fcp-indi/data/Projects/narratives/

Each file in the S3 bucket can only be accessed using HTTP (i.e., no ftp or scp ). You can obtain a URL for each desired file and then download it using an HTTP client such as a web browser, wget, or curl. Each file can only be accessed using its literal name - wildcards (i.e. "*") will not work.

There are file transfer programs that can handle S3 natively and will allow you to navigate through the data using a file browser. Cyberduck is one such program that works with Windows and Mac OS X (New Cyberduck version might not work, please try version 5.03.). Cyberduck also has a command line version that works with Windows, Mac OS X, and Linux. Instructions for using the Cyberduck program are as follows:

You can also access the same data via DataLad. You can use datalad install ///labs/hasson/narratives to “install” the full file structure for the dataset (without any content), then use datalad get to download specific files. For an introduction to DataLad, we recommend the DataLad Handbook.


Principal Investigator: Senior Personnel and Collaborators (Alphabetical order):

*please send correspondence to Sam Nastase (sam.nastase@gmail.com)

1Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ, USA
2Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA

Data Sharing License

The data are released into the public domain according to the CCO license.




This work was supported by the National Institutes of Health (NIH) grants R01-MH094480 (U.H.), DP1-HD091948 (U.H.), R01-MH112566 (U.H.), R01-MH112357 (K.A.N., U.H), T32-MH065214 (K.A.N), by the Defense Advanced Research Projects Agency (DARPA) Brain-to-Brain Seedling contract number FA8750-18-C-0213 (U.H.), and by the Intel Corporation.