NEMAR: An open access data, tools, and compute resource operating on NeuroElectroMagnetic data

TL;DR

NEMAR provides an open access platform integrating neuroelectromagnetic data with visualization and high-performance processing tools, enhancing data sharing and analysis in neuroscience.

Contribution

It introduces a gateway to OpenNeuro for electrophysiology data, enabling visualization and high-performance processing using XSEDE resources.

Findings

Supports visualization of time and frequency domain data

Allows processing of EEG data on high-performance computing resources

Facilitates data sharing and reproducibility in neuroscience

Abstract

To take advantage of recent and ongoing advances in large-scale computational methods, and to preserve the scientific data created by publicly funded research projects, data archives must be created as well as standards for specifying, identifying, and annotating deposited data. The OpenNeuro.org archive, begun as a repository for magnetic resonance imaging (MRI) data, is such an archive. We present a gateway to OpenNeuro for human electrophysiology data (BIDS-formatted EEG and MEG, as well as intracranial data). The NEMAR gateway allows users to visualize electrophysiological data, including time-domain and frequency-domain dynamics time locked to sets of experimental events recorded using BIDS- and HED-formatted data annotation. In addition, NEMAR allows users to process archived EEG data on the XSEDE high-performance resources at SDSC in conjunction with the Neuroscience Gateway (nsgportal.org), a freely available and easy to use portal to leverage high-performance computing resources for neuroscience research.