RTM Paper Dataset: Representational Similarity Analysis for fMRI

A 7.3 GB dataset supporting the RTM paper, containing conditions, masks, and processed outputs for representational similarity analysis of fMRI data. The dataset includes average values per region of interest (ROI) and subject in a .csv file for statistical analysis. It was authored by Stan Bergey and last updated on 2026-05-19.

Use Cases

• Run representational similarity model fitting based on the provided Multidimensional Scaling (MDS) data.
• Project analysis results onto cortical surfaces based on the provided surface files and MATLAB scripts.
• Conduct statistical analyses on brain activity based on the provided ROI and subject averages in the .csv file.

Strengths

• Dataset size is 7.3 GB, indicating substantial processed outputs.
• Includes a .csv file with ROI and subject averages for statistical analysis.
• License is CC-BY-4.0, allowing for open sharing and adaptation.

Limitations

• The primary fMRI data must be downloaded separately from the Allen et al. 2022 dataset.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Processed outputs from the RTM paper's analysis pipeline.

Freshness

Last updated 2026-05-19 15:54:59