Identifiability in Functional Connectivity May Unintentionally Inflate Prediction Results is a dataset (2023). On theSindex it has a DataRank of 0, placing it in the top 100% of the data-sharing corpus.
Ranks in the top 100% 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.
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Integration of brain imaging and multi-omics data for improved diagnosis and prediction of mental disorders
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Grant: 4P20GM103472-09
Multimodal Imaging of Neuropsychiatric Disorders (MIND): Mechanisms &
National Science Foundation
Grant: 1539067
RII Track-2 FEC: Developmental Chronnecto-Genomics (Dev-CoG): A Next Generation Framework for Quantifying Brain Dynamics and Related Genetic Factors in Childhood
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Grant: 3R01EB020407-02S1
Unified multivariate data-driven solutions for static and dynamic brain connectivity
National Institutes of Health
Grant: 5R01MH104680-03
Integration of brain imaging with genomic and epigenomic data
National Institutes of Health
Grant: 5R01MH107354-03
Integration of fMRI imaging, genomics, network and biological knowledge
National Institutes of Health
Grant: 3R01EB006841-10S1
Multivariate methods for identifying multitask/multimodal brain imaging biomarkers
National Institutes of Health
Grant: 5R01GM109068-04
Integration of multiscale genomic data for comprehensive analysis of complex dise
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Sustainable Development Goals