THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in human brain and behavior is a dataset published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0.546, placing it in the top 35.6% of the data-sharing corpus. It has been cited 8 times, with 7 citing works in its 1-hop citation network.
Ranks in the top 36% for downstream scientific impact
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.330
From this paper's citation signal
Citation Network Contribution
0.217
From 7 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
National Institutes of Health
Grant: 1ZICMH002968-03
Machine Learning Team
National Institutes of Health
Grant: 1ZIAMH002909-10
Object, face, body and scene representations in the human brain
European Commission
Grant: 101039712
Uncovering the core dimensions of visual object representations
Fields of Study
Keywords