MRI datasets used in the manuscript: "An End-to-End AI-Based Framework for Automated Discovery of Rapid CEST/MT MRI Acquisition Protocols and Molecular Parameter Quantification (AutoCEST), Magn. Reson. Med. 2022"

The data comprises raw and analyzed .mat format images (can be read by Python, Matlab, and other software). The images were acquired using a 9.4T preclinical MRI, on chemical exchange saturation transfer (CEST) in-vitro models (phantoms) and in-vivo mice including:1) Iohexol2) Phosphocreatine (pCr)3) Bovine serum albumin (BSA)4) L-arginine5) MT/Amide brain imaging of wild-type mice Detailed datasets properties are available in the below mentioned reference. Please cite the manuscript's reference in case the data are being used.