STGP: Spatio-temporal Gaussian process models for longitudinal neuroimaging data is a research paper published in UNC Libraries (2020). On theSindex it has a DataRank of 0.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
Canadian Institutes of Health Research
Grant: unidentified
unidentified
National Science Foundation
Grant: 1357666
Developing Dynamic Tools for Analyzing Irregularly Spaced Longitudinal Affect Data
National Institutes of Health
Grant: 1U01AG024904-01
Alzheimers Disease Neuroimaging Initiative
National Institutes of Health
Grant: 5UL1TR001111-05
North Carolina Translational & Clinical Sciences Institute (NC TraCS)
National Science Foundation
Grant: 1127914
Statistical and Applied Mathematical Sciences Institute
National Science Foundation
Grant: 1407655
Advanced Statistical Tools for Ultra-High Dimensional Functional Data with Spatial-Temporal Correlation
National Institutes of Health
Grant: 5R01MH086633-03
Statistical Analysis of Biomedical Imaging Data in Curved Space
FWCI
0.00
Citation Percentile
0.3%
Fields of Study
Keywords
Sustainable Development Goals