NetCDF CF-1.8 Gridded Air Temperature (.nc)
A NetCDF-3 classic file holding a 4x5x6 air-temperature field with full CF-1.8 coordinate metadata: standard names, axis attributes, units on every variable, and a declared _FillValue. Use it to check that a reader attaches units and coordinates to the array rather than returning bare numbers.
| Field | Value |
|---|---|
| Conventions | CF-1.8 |
| Dimensions | time=4, lat=5, lon=6 |
| Coordinates | lat (degrees_north), lon (degrees_east), time (hours since 1970-01-01) |
| Data variable | tas: float32, units K, standard_name air_temperature |
| _FillValue | -9999.0 |
| tas[0,0,0] | 270.000 K |
| tas[3,4,5] | 267.000 K |
Specifications
- Format
- NetCDF-3 classic (CDF-1)
- Conventions
- CF-1.8
- Dims
- time=4, lat=5, lon=6
- Variable
- tas float32 (K)
- Fill Value
- -9999
- Values
- 120
- Seed
- analytic, seedless
Testing contract
Expected to pass- Scenario
- Open the file with a CF-aware reader and resolve the tas variable together with its coordinate variables and attributes.
- Expected result
- tas is float32 with shape (4, 5, 6), units 'K', standard_name 'air_temperature', _FillValue -9999.0, and lat/lon/time attach as coordinates in that order.
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 CF-1.8 Gridded Air Temperature (.nc)” is a deterministic Testaroo fixture for Scientific data, Serialization testing. 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 (CDF-1). 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.
Scientific fixtures are small, valid, and fully synthetic, no real organism, patient, sample, or observation. Point your parser or loader at the file and check it reads the documented records, variables, or headers; binary formats ship a readable twin or metadata listing for comparison.
Generated by generation/scientific.py. Free for any use, no attribution required, license.
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