Behavior and Neuroimaging Core User Manual
  • About
  • Infrastructure Overview
  • XNAT
    • Getting Started
    • Accessing XNAT
    • BIDS Ready Protocols
    • New XNAT projects
    • Uploading Data
    • Downloading Data
  • Demo Dataset
    • Introduction
    • How to access it
    • Protocol Information
    • Basic analysis example: checks task
  • XNAT to BIDS
    • Getting Started
    • XNAT2BIDS Software
    • Exporting to BIDS using Oscar
      • Oscar Utility Script
        • Running xnat2bids using default configuration
        • Running xnat2bids with a custom configuration
        • Syncing your XNAT project & Oscar data directory
        • Extra tools & features
      • Step-wise via Interact Session
    • BIDS Validation
      • Oscar
      • Docker
    • Converting non-MR data
      • Physiological data
      • EEG data
  • XNAT TO BIDS (Legacy)
    • Oscar SBATCH Scripts
  • BIDS and BIDS Containers
    • Introduction to BIDS
    • mriqc
    • fmriprep
    • BIDS to NIMH Data Archive (NDA)
  • Analysis Pipelines
    • Freesurfer
    • 🚧CONN Toolbox
    • FSL topup and eddy
    • Tractography: DSI Studio
    • Brown University MRS Data Collection and Preprocessing Protocol
    • LC Model
      • Installation
      • Example Run
      • Running LCModel on your own data
    • Quantitative Susceptibility Mapping (QSM)
  • Standalone Tools
    • Multi-session spectroscopy with voxalign
    • dicomsort: a tool to organize DICOM files
    • ironmap
    • convert enhanced multi-frame DICOMs to legacy single-frame
    • DICOM anonymization
  • MRF GUIDES
    • MRI simulator room
      • Motion Trainer: Balloon Task
      • Simulating scanner triggers
    • Stimulus display & response collection
    • Eyetracking at the scanner
    • Exporting data via scannershare
    • EEG in the scanner
    • Exporting spectroscopy RDA files
  • Community
    • MRF/BNC user community meetings
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  1. XNAT to BIDS

XNAT2BIDS Software

PreviousGetting StartedNextExporting to BIDS using Oscar

Last updated 10 months ago

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After gathering the requirements described in the , you are ready to export your data. We maintain a python package that facilitates exporting and converting your data to BIDS. The optimal way to install and run the code depends on your computation environment. The package explains different installation and execution methods for a general user. Many of our researchers have access to Brown's super computer . Here, we will guide you through an example of how to export your data to BIDS within Oscar's computational environment.

xnat-tools
documentation
Oscar
Oscar Utility Script
Getting Started Section