Reverse Dependencies of duecredit

The following projects have a declared dependency on duecredit:

• bidscoin — Converts and organises raw MRI data-sets according to the Brain Imaging Data Structure (BIDS)
• bidsonym — A BIDSapp for deidentification of neuroimaging data.
• connPFM — no summary
• dandi — Command line client for interaction with DANDI archive elements
• datalad — data distribution geared toward scientific datasets
• ddmra — A Python package for distance-dependent motion-related artifact (DDMRA) analysis.
• dmriprep — dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data.
• fitlins — Fit Linear Models to BIDS Datasets
• fmriprep — A robust and easy-to-use pipeline for preprocessing of diverse fMRI data
• glmdenoise — Python GLMdenoise
• heudiconv — Heuristic DICOM Converter
• lincbrain-cli — Command line client for interaction with LINC Brain archive elements
• nibabies — Processing workflows for magnetic resonance images of the brain in infants
• nibetaseries — BetaSeries Correlations implemented in Nipype
• nigsp — A python library (and toolbox!) to run Graph Signal Processing on multimodal MRI data.
• NiMARE — NiMARE: Neuroimaging Meta-Analysis Research Environment
• nipype — Neuroimaging in Python: Pipelines and Interfaces
• nirodents — NeuroImaging Rodents (NiRodents) provides processing tools for magnetic resonance images of the rodent brain.
• p3proc — The p3 fmri processing pipeline
• peakdet — A Python toolbox for the identification and processing of peaks and troughs in physiological data
• phys2bids — Python library to convert physiological data files into BIDS format
• phys2denoise — Python library to convert physiological data files into BIDS format
• pliers — Multimodal feature extraction in Python
• psiresp — psiresp
• rsHRF — BIDs App to retrieve the haemodynamic response function from resting state fMRI data
• smriprep — sMRIPrep (Structural MRI PREProcessing) pipeline
• timecorr — Compute dynamic correlations, dynamic higher-order correlations, and dynamic graph theoretic measures in timeseries data