Sherlock

Naturalistic fMRI dataset: 16 subjects watched ~50 minutes of Sherlock across two scanning runs (Part1, Part2) and then verbally recalled the narrative in the scanner. TR = 1.5 s.

This repo mirrors the fmriprep-preprocessed dataset originally distributed via DataLad at https://gin.g-node.org/ljchang/Sherlock. fmriprep version 1.2.6-1.

Layout

derivatives/fmriprep/sub-XX/
  anat/  func/  figures/  log/
onsets/
  Sherlock_Crop_Onsets.csv
  Sherlock_Recall_Scene_n50_Onsets.csv
  Sherlock_Watch_Scene_N50_Onsets.csv
  Sherlock_Segments_1000_NN_2017.xlsx
stimuli/
  stimuli_Sherlock.m4v          # Part1 video (25 min)
  video_text.npy                # text features

Raw BIDS data is not hosted here — this repo carries only the fmriprep derivatives (under derivatives/fmriprep/). Fetch raw data from OpenNeuro.

Access via dartbrains-tools

from dartbrains_tools.data import sherlock

bold = sherlock.get_file("sub-01", task="sherlockPart1", suffix="bold")
confounds = sherlock.load_confounds("sub-01", task="sherlockPart1")

See https://dartbrains.org for the full tutorial.

Citation

Chen, J., Leong, Y., Honey, C. et al. Shared memories reveal shared structure in neural activity across individuals. Nat Neurosci 20, 115–125 (2017). https://doi.org/10.1038/nn.4450

Original raw data: OpenNeuro ds002345.

License

CC-BY-NC-4.0 (matches the upstream OpenNeuro release).