Natural Scenes Dataset: 7T fMRI Responses to Thousands of Images

A year-long study collected ultra-high-field fMRI data from 8 participants viewing 9,000–10,000 distinct natural scenes each. The dataset includes 22,500–30,000 trials per subject, along with anatomical scans, eye-tracking, and behavioral assessments. It was created by the Computational Visual Neuroscience Laboratory at the Center for Magnetic Resonance Research.

Use Cases

• Modeling brain activity patterns based on fMRI responses to thousands of natural images
• Training computer vision models using the large-scale image-to-brain-response mapping
• Conducting individual-subject analyses based on the massive per-subject data volume
• Exploring multimodal relationships between fMRI, anatomical, and behavioral data

Strengths

• Massive per-subject scale with 9,000–10,000 distinct images and 22,500–30,000 trials per participant
• High-resolution 7T fMRI data at 1.8-mm resolution and 1.6-s TR
• Includes multiple complementary data types: resting-state, retinotopy, anatomical scans, and eye-tracking

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count and total dataset size are unknown, which may limit suitability assessment

Provenance

Source

Computational Visual Neuroscience Laboratory at the Center for Magnetic Resonance Research

Collection Method

Data acquired using 7T fMRI while participants viewed natural scenes over 30–40 weekly sessions in a year-long study.

Time Range

Data collection occurred over the course of a year (specific years not stated).

Freshness

Last update date is unknown; freshness unverified

Geography

Spatial coverage is not specified in the provided description.