Extend the netCDF ecosystem so existing C, Fortran, and Python software can read new scientific and imaging formats, compress them losslessly, and analyze them at scale.
Lossless compression filters and User-Defined Format readers that extend the netCDF C library for DICOM, PDB/mmCIF, GRIB2, PDS4, and more.
Learn MoreDetailed format mappings for medical imaging, structural biology, planetary science, weather, and geospatial data.
Browse FormatsWhite papers, publications, and the NetCDF Developer's Handbook behind our scientific data work.
View ResourcesnetCDF is the de facto standard for array-oriented scientific data. By building on netCDF, NEP lets research groups and product teams reuse existing tools, workflows, and expertise instead of maintaining one-off format converters.
See How NEP Extends netCDF