The Signal Generating (SiGn) fMRI Phantom Dataset

<b>The Signal Generating (SiGn) fMRI Phantom Dataset</b>This dataset provides a fully structured collection of MRI data organized according to the BIDS standard, alongside comprehensive derivatives and reproducibility resources. The rawdata/ directory contains the original acquisitions, including both human reference anatomical scans and multi-session phantom data with anatomical, functional (BOLD), fieldmap, and event files. Processed outputs are distributed across derivative folders: phantom_preproc/ includes distortion-corrected and registered images (e.g., preprocessed T1-weighted volumes, BOLD runs, and TOPUP fieldmap corrections), while phantom_analysis/ contains higher-level statistical results in multiple standard spaces. Additionally, the dataset includes phantom_manufacture/, which documents the physical phantom design and fabrication process, including printable assets and compartment volume definitions, enabling replication of the physical object itself.<br>The code/ directory centralizes scripts, configuration files, reports, validation outputs, and workflow documentation. Users can reproduce the full preprocessing and analysis pipeline, from distortion correction and registration through GLM and ICA analyses, using provided scripts or a containerized workflow when available. The dataset also includes human reference derivatives and manufactured masks used for registration and downstream analyses, as well as detailed validation. These components support use cases such as raw data inspection, methodological evaluation, full end-to-end reproducibility, and physical phantom reconstruction.<b>How to </b><b>acknowledge</b><b>:</b>The authors would like to thank the University of Malta's MRI Platform (UMRI) for access to secondary data from the University's MRI repository and for resources such as documentation and preprocessing scripts. Data governance for the original data was conducted through the University of Malta's Data Integrity and Stewardship Cluster (DISC). The project "Synthetic Anatomy for Radiological Applications – Generating a Functional MRI Phantom" (SARA) is funded by Xjenza Malta through the Research Excellence Programme (grant no. REP-2024-033), for and on behalf of the Foundation for Science and Technology."