NetCDF Converter and Inspector
Understand a self-describing .nc dataset before flattening it. Inspect its scientific structure, then export exactly one variable with its coordinates and metadata.
NetCDF Inspector
See the file family, groups, dimensions, coordinate variables, shapes, data types, units, calendars, chunks, compression and bounded attributes without exporting values.
Inspect an NC file →NetCDF to CSV
Select one variable, its coordinate columns and index ranges. Review the estimated table shape before generating long-form or valid two-dimensional wide CSV.
Extract NetCDF data →Why inspection comes first
NetCDF arrays can have many dimensions and can expand dramatically when flattened. CSV does not carry masks, units, calendars, scale factors or hierarchy by itself. Convertr therefore shows the row mapping before extraction and supplies a JSON metadata sidecar with every CSV.
Designed for scientific datasets
Useful for climate, ocean, weather, environmental, GIS, academic and engineering data stored in NetCDF3 or NetCDF4/HDF5 containers.
Local and private processing
Files are processed ephemerally on Convertr workers. Remote OPeNDAP URLs and external dataset references are not accepted. Filenames, variables, attributes, coordinates and scientific values are not logged or sent to analytics.
Complete, deterministic output
Rows use stable C order, selected coordinate values are retained, and data is never downsampled or silently truncated to reduce workload.
NetCDF Converter
Inspect NetCDF dimensions, variables, attributes, and export a selected variable to tabular data.
- Input
- One supported NetCDF file and variable selection.
- Output
- Metadata plus bounded CSV or JSONL output for the selected data.
- Real limitations
- Multidimensional arrays need explicit slicing, unsupported compression or types may fail, and the utility is not a scientific analysis environment.
- Privacy and data handling
- one supported NetCDF file and variable selection is uploaded to a compatible Convertr worker only after you start the operation. Processing is automated, and temporary source and result files are deleted automatically after processing rather than retained as permanent storage.
How to use this tool
- Choose one supported NetCDF file and variable selection and wait for the page to validate it.
- Set the available output or inspection options, then start processing.
- Review the reported result and download metadata plus bounded CSV or JSONL output for the selected data before the temporary link expires.
Common failure modes
A corrupt header, unsupported filter, invalid slice, or variable too complex for the selected export produces an error.
Useful example
Open climate.nc, select temperature at one time index, and export latitude-longitude values to CSV.