Simulation data：

        The data is used to train the neural network and can be used as the label of network training

        Just use the simulation platform to generate simulation MPI data, and you can modify the gradient, noise and other parameters according to your own

If using this data,please cite the following references

@article{FDS-MPI,
  author={Yaxin Shang, Jie Liu, Liwen Zhang, Xiangjun Wu, Peng Zhang, Lin Yin, Hui Hui, and Jie Tian},
  journal={Physics in Medicine and Biology}, 
  title={Deep learning for improving the spatial resolution of magnetic particle imaging}, 
  year={2022},
  volume={67},
  number={},
  pages=125012
  doi={10.1088/1361-6560/ac6e24}}

If using this data,please cite the following references

@article{AEP-net,
  author={Yaxin Shang, Jie Liu1, Yanjun Liu, Bo Zhang, Xiangjun Wu, Liwen Zhang, Wei Tong, Hui Hui, and Jie Tian},
  journal={Physics in Medicine and Biology}, 
  title={Anisotropic edge-preserving network for resolution enhancement inunidirectional Cartesian magnetic particle imaging}, 
  year={2023},
  volume={68},
  number={4},
  pages={045014},
  doi={10.1088/1361-6560/acb584}}

Experimental data：

       2D and 3D data collected by commercial machines