Overview
A MATLAB toolbox for reading and manipulating NetCDF files, designed to simplify handling multi-dimensional scientific data with automatic dimension loading and table conversion.
Simplify your NetCDF workflow in MATLAB. The easyNC.Reader toolbox makes it easy to read and manipulate multi-dimensional scientific data by automatically loading associated dimensions and converting complex data into analysis-friendly table formats.
Features
- Automatic Dimension Loading: Data variables come with their associated dimensions pre-loaded
- Table Conversion: Transform multi-dimensional data into long-format tables for easy analysis
- xarray-Inspired: Brings Python’s xarray
load_dataset().to_dataframe()functionality to MATLAB - Autocomplete Support: Variable names autocomplete for faster coding
- Information Methods: Built-in methods to explore NetCDF file contents
Use Cases
- Read temperature and pressure data from climate datasets
- Transform oceanographic data for statistical analysis
- Explore multi-dimensional environmental datasets
- Convert NetCDF files into MATLAB-friendly formats
Technical Details
Built for MATLAB researchers working with NetCDF files, the toolbox simplifies the often complex process of working with multi-dimensional scientific data. We made it because we use NetCDF in our Python course, and wanted to use the same files in our Matlab course!