NYU Langone & FAIR FastMRI Dataset

LAION-fMRI is one of the largest and most comprehensive high-resolution imaging datasets of brain responses to visually-presented photographs which we built to uncover how the human brain sees and understands the world. Five participants viewed over 25,000 unique natural images in 165 hours across 165 sessions, capturing hundreds of thousands of brain responses every second with an ultra-high-field 7-Tesla MRI scanner. This extraordinary scale means results can be replicated across individuals and generalized across a very broad range of visual experiences, overcoming critical barriers that previous datasets simply could not. The images span everything from everyday photographs (sampled from 120 million image-text pairs) to abstract shapes and visual illusions, ensuring the dataset covers the full breadth of human visual experience. Every image was measured multiple times, delivering exceptional signal quality and setting new standards for the field. Beyond functional brain scans,[...]

This dataset provides 973 prostate MRI exams performed between January 2016 and March 2019 for patients who underwent MRI/ultrasound fusion biopsy within one year at UCSF.

This data set, made available by Janelia's MouseLight project, consists of images and neuron annotations of the Mus musculus brain, stored in formats suitable for viewing and annotation using the HortaCloud cloud-based annotation system.

The Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) data package contains information on medication errors, quality complaints and drug-related adverse events that were submitted to FDA in 2014.