Supporting info for paper: Optimization of gradient pulse shape prediction using Temporal Convolutional Networks

Supporting data for the paper "Optimization of Gradient Pulse Shape Prediction Using Temporal Convolutional Networks". This dataset contains the raw Bruker MRI data acquired using custom pulse sequences for gradient pulse shape characterization, together with data from a custom radial imaging sequence used to validate the predicted gradient waveforms. All experiments were performed on a 55 mm diameter spherical phantom filled with distilled water, providing a homogeneous MR signal for quantitative evaluation. The dataset consists of the original Bruker acquisition files and enables reproduction of the analyses presented in the accompanying publication.