Data format
Fichiers d'echantillon NETCDF
NetCDF (.nc) files store array-oriented scientific datasets and gridded observations. Use sample NetCDF files to test scientific data inspection, coordinate-variable handling, and cross-tool compatibility.
3 fichiers
All to 1MB
SHA256 verified
Manifeste included
Quick facts
Files first
NETCDF Sample Files — Download
Starter file
TelechargerHDF5-Compatible NetCDF
Telecharger le fixtureSmall-Grid NetCDF
Telecharger le fixture| Nom du fichier | Taille | MIME | Telecharger |
|---|---|---|---|
| 839.4 KB | application/x-netcdf |
Telecharger
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| 6.1 KB | application/x-netcdf |
Telecharger
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| 6.1 KB | application/x-netcdf |
Telecharger
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Use cases
NETCDF Testing Workflows
Grid Preview and Structure Review
Ouvrir le format NETCDFGrid Variant and Compatibility Validation
Ouvrir le format NETCDFCompare and decide
NETCDF Format Comparisons
FAQ and reference
NETCDF File FAQ
Verification du checksum
Utilisez les checksums pour confirmer l'integrite du fichier apres telechargement.
shasum -a 256 your_file_name_here
# Compare output with SHA256 values listed above.Where is the machine-readable manifest?
Use the manifest when you need stable names, SHA256 values, and URLs for automation.
Use in code — curl, Python, Node, wget
Copy any snippet directly into scripts, test suites, or CI pipelines. All URLs are stable and publicly accessible with no auth required.
# Download netcdf_hdf5_compat_sample.nc
curl -L -o netcdf_hdf5_compat_sample.nc \
https://samplefile.com/samples/download/data/netcdf/netcdf_hdf5_compat_sample.nc/
# Or fetch a random NETCDF file
curl -s "https://samplefile.com/samples/api/random?format=netcdf" | jq -r '.download_url'# Download netcdf_hdf5_compat_sample.nc
wget -O netcdf_hdf5_compat_sample.nc \
https://samplefile.com/samples/download/data/netcdf/netcdf_hdf5_compat_sample.nc/import requests
# Download a specific file
url = "https://samplefile.com/samples/download/data/netcdf/netcdf_hdf5_compat_sample.nc/"
resp = requests.get(url)
with open("netcdf_hdf5_compat_sample.nc", "wb") as f:
f.write(resp.content)
# Or fetch a random NETCDF file via API
meta = requests.get("https://samplefile.com/samples/api/random?format=netcdf").json()
resp = requests.get(meta["download_url"])
with open(meta["name"], "wb") as f:
f.write(resp.content)// Download a specific file
const fs = require("fs");
const https = require("https");
const url = "https://samplefile.com/samples/download/data/netcdf/netcdf_hdf5_compat_sample.nc/";
https.get(url, (res) => {
res.pipe(fs.createWriteStream("netcdf_hdf5_compat_sample.nc"));
});
// Or fetch a random NETCDF via the API
const meta = await fetch("https://samplefile.com/samples/api/random?format=netcdf").then(r => r.json());
const file = await fetch(meta.download_url);
// use file.arrayBuffer(), file.body, etc.# Random NETCDF file (JSON response)
GET https://samplefile.com/samples/api/random?format=netcdf
# All NETCDF files
GET https://samplefile.com/samples/api/files?format=netcdf
# Manifest with SHA256 checksums
GET https://samplefile.com/samples/data/netcdf/manifest.json
# Response includes: name, size_bytes, mime_type, sha256, download_urlMethodologie de validation
- Validate extension and MIME detection before processing.
- Benchmark performance with small and larger files.
- Test malformed-input handling and error messaging.
Matrice de fixtures
Utilisez la matrice NETCDF pour choisir les bons fixtures propres, limites et casses pour ce format.
Ouvrir la matrice
Packs de workflow