Modern simulations (e.g. particle simulation, climate simulation) can produce huge amount of data every day. Lossy compression can significantly reduce the data size while preserving important information for analysis. I work with Sheng Di in the compression project. We explore lossy compression on scientific datasets, especially the datasets consisting of floating-point numbers. The data files are usually planar (e.g. CESM dataset 1800x3600) or cubic (e.g. Nyx dataset 512x512x512). Some extremely large single file can be over 900 GB (e.g. Turbulent Channel Flow 10240x7680x1536). Other datasets may contain thousands of smaller files. The goal of this project is to provide a friendly program for users to compress, transfer and store these huge datasets.