NetCDF Gridded Data (.nc)
A NetCDF-3 (classic) file holding a small CF-convention gridded temperature field over latitude, longitude, and time, with named dimensions and units, for testing NetCDF readers like netCDF4 and xarray.
| Field | Value |
|---|---|
| Format | NetCDF-3 classic (CDF-1) |
| Conventions | CF-1.6 |
| Dimensions | time=3, lat=4, lon=5 |
| Variables | lat, lon, time, temperature |
| temperature | float32 (time, lat, lon), units K |
| Title | Sample gridded surface temperature |
Specifications
- Format
- NetCDF-3 classic
- Conventions
- CF-1.6
- Dims
- time=3, lat=4, lon=5
- Variables
- lat, lon, time, temperature (K)
Testing contract
Expected to pass- Scenario
- Exercise NetCDF Gridded Data (.nc) in its scientific workflow. A NetCDF-3 (classic) file holding a small CF-convention gridded temperature field over latitude, longitude, and time, with named dimensions and units, for testing NetCDF readers like netCDF4 and xarray.
- Expected result
- dimensions={'time': 3, 'lat': 4, 'lon': 5}; lon: shape=[5], type=f; lat: shape=[4], type=f; temperature: shape=[3, 4, 5], type=f; time: shape=[3], type=i. Declared feature checks: conventions=CF-1.6; dims=time=3, lat=4, lon=5; variables=lat, lon, time, temperature (K).
What is a .nc file?
NetCDF (.nc, Network Common Data Form) is a binary, self-describing format for array-oriented scientific data. It stores multidimensional variables (like temperature over latitude, longitude, and time) with named dimensions, units, and metadata attributes, and is a standard in climate, ocean, and geoscience.
How to use this file
Use an example .nc file to test NetCDF readers (netCDF4, xarray, Panoply), CF-convention validators, and gridded-data pipelines, or to verify dimension and variable extraction.
How to use this file for testing
“NetCDF Gridded Data (.nc)” is a deterministic Testaroo fixture for Scientific data. Citation catalogs (BibTeX, RIS), chemistry structures (MDL Molfile, PDB), and gridded binary data (NetCDF, FITS), for testing reference managers, molecule viewers, and scientific-data loaders.
Documented properties for this file: NetCDF-3 classic. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.
Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.
Generated by generation/sci_data.py. Free for any use, no attribution required, license.
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