Data and Code for Weighted Convolutional Attention UNet for Ocean Bottom Seismic Noise Suppression and Transfer Learning

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