SiGn: BIDS-Structured fMRI Phantom Data with Derivatives and Code

A 5.4 GB collection of MRI data organized in the BIDS standard, created by Sephora Galea and last updated in April 2026. It includes raw anatomical and functional MRI scans of a phantom, processed derivatives, and resources for physical phantom replication. The dataset is funded by the SARA project grant REP-2024-033 from Xjenza Malta.

Use Cases

• Validate fMRI preprocessing and analysis pipelines based on the provided BIDS-structured raw data and derivatives.
• Benchmark registration and distortion correction algorithms using the included preprocessed T1-weighted volumes and TOPUP fieldmap corrections.
• Reproduce a physical MRI phantom using the documented design files and compartment volume definitions in the manufacture directory.
• Conduct end-to-end reproducibility studies using the containerized workflow and centralized scripts for GLM and ICA analyses.

Strengths

• Data is fully structured according to the BIDS standard, which is a community-adopted format for neuroimaging.
• Includes comprehensive derivatives such as preprocessed images and statistical results in multiple standard spaces.
• Provides resources for physical object replication, including printable STL and 3MF files.
• Centralized code directory with scripts and containerized workflow supports full pipeline reproducibility.

Limitations

• Row count is unknown, which may limit suitability assessment for certain statistical analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality for specific use cases requires manual inspection after download.

Provenance

Source

University of Malta's MRI Platform (UMRI) repository, with data governance by the Data Integrity and Stewardship Cluster (DISC).

Collection Method

MRI acquisitions of a phantom and human reference scans, processed through a documented pipeline.

Freshness

Last updated 2026-04-22 11:30:31; freshness should be verified.