Data and code for weighted attention UNet for OBN/OBC denoising

This data and the associated codes were developed for the research article “Weighted Convolutional Attention UNet for Ocean Bottom Seismic Noise Suppression and Transfer Learning.” The data include a semi-synthetic dataset and a 3D field ocean bottom node (OBN) test dataset. In the semi-synthetic dataset, the directories train_data and val_data contain the files used for training and validation, respectively. The data dimensions are nx × nz = 256 × 256. The dataset files are named as follows: Data containing ground roll and vertical stripe noise (input): noisy_data Ground roll and vertical stripe noise (output): noise