[Tutorial] How to analyze large neuroimaging datasets - the NeuroJSON way

[fangq]

A large dataset typically contains several gigabytes to hundreds of gigabytes of binary data files. Conventionally, a user has to download the entire zipped data package (many GBs in size) regardless whether they need all the embedded large data files or not.

Using our lightweight REST-API and JSON-encoded datasets, a user can selectively download and locally cache those data files that are only necessary to the analysis, making it much more efficient to start analyzing large datasets. Here are 3 tutorials showing how to do this in MATLAB and Octave.

Tutorial Part 1 - Use REST-API for data download and query a dataset

jcache1.mp4

Tutorial Part 2 - Downloading and rendering linked data files

jcache2.mp4

Tutorial Part 3 - Using JSON API on Octave

jcache3.mp4