Packed NetCDF — Unpacked Ground Truth (.csv)
The stored integer, the unpacked value, the original float and the quantisation error for all 120 cells of the packed NetCDF grid. It makes the cost of int16 packing explicit and gives an unpacking implementation an exact per-cell target.
time_hours,lat_degrees_north,lon_degrees_east,stored_int16,unpacked_kelvin,original_kelvin,quantisation_error_kelvin
0,-60.0,0.0,-1000,270.0000,270.000,+0.00000
0,-60.0,60.0,-1150,268.5000,268.500,+0.00000
0,-60.0,120.0,-1450,265.5000,265.500,+0.00000
0,-60.0,180.0,-1600,264.0000,264.000,+0.00000
0,-60.0,240.0,-1450,265.5000,265.500,+0.00000
0,-60.0,300.0,-1150,268.5000,268.500,+0.00000
0,-30.0,0.0,50,280.5000,280.500,+0.00000
0,-30.0,60.0,-100,279.0000,279.000,+0.00000
0,-30.0,120.0,-400,276.0000,276.000,+0.00000
0,-30.0,180.0,-550,274.5000,274.500,+0.00000
0,-30.0,240.0,-400,276.0000,276.000,+0.00000
0,-30.0,300.0,-100,279.0000,279.000,+0.00000
0,0.0,0.0,1100,291.0000,291.000,+0.00000
0,0.0,60.0,950,289.5000,289.500,+0.00000
0,0.0,120.0,650,286.5000,286.500,+0.00000
0,0.0,180.0,500,285.0000,285.000,+0.00000
0,0.0,240.0,650,286.5000,286.500,+0.00000
0,0.0,300.0,950,289.5000,289.500,+0.00000
0,30.0,0.0,50,280.5000,280.500,+0.00000
0,30.0,60.0,-100,279.0000,279.000,+0.00000
0,30.0,120.0,-400,276.0000,276.000,+0.00000
0,30.0,180.0,-550,274.5000,274.500,+0.00000
0,30.0,240.0,-400,276.0000,276.000,+0.00000
0,30.0,300.0,-100,279.0000,279.000,+0.00000
0,60.0,0.0,-1000,270.0000,270.000,+0.00000
0,60.0,60.0,-1150,268.5000,268.500,+0.00000
0,60.0,120.0,-1450,265.5000,265.500,+0.00000
0,60.0,180.0,-1600,264.0000,264.000,+0.00000
0,60.0,240.0,-1450,265.5000,265.500,+0.00000
0,60.0,300.0,-1150,268.5000,268.500,+0.00000
6,-60.0,0.0,-850,271.5000,271.500,+0.00000
6,-60.0,60.0,-1000,270.0000,270.000,+0.00000
6,-60.0,120.0,-1300,267.0000,267.000,+0.00000
6,-60.0,180.0,-1450,265.5000,265.500,+0.00000
6,-60.0,240.0,-1300,267.0000,267.000,+0.00000
6,-60.0,300.0,-1000,270.0000,270.000,+0.00000
6,-30.0,0.0,200,282.0000,282.000,+0.00000
6,-30.0,60.0,50,280.5000,280.500,+0.00000
6,-30.0,120.0,-250,277.5000,277.500,+0.00000
6,-30.0,180.0,-400,276.0000,276.000,+0.00000
6,-30.0,240.0,-250,277.5000,277.500,+0.00000
6,-30.0,300.0,50,280.5000,280.500,+0.00000
6,0.0,0.0,1250,292.5000,292.500,+0.00000
6,0.0,60.0,1100,291.0000,291.000,+0.00000
6,0.0,120.0,800,288.0000,288.000,+0.00000
6,0.0,180.0,650,286.5000,286.500,+0.00000
6,0.0,240.0,800,288.0000,288.000,+0.00000
6,0.0,300.0,1100,291.0000,291.000,+0.00000
6,30.0,0.0,200,282.0000,282.000,+0.00000Specifications
- Rows
- 120
- Columns
- 7
- Shows
- stored int16, unpacked value, original value, quantisation error
- Max Quantisation Error
- 0.005 K
Testing contract
Reference control- Scenario
- Unpack every cell of the paired NetCDF file and compare the result against the unpacked_kelvin column.
- Expected result
- Each unpacked value matches to four decimals and every quantisation_error_kelvin magnitude is at most 0.005 K, the half-step of a 0.01 K scale factor.
What is a .csv file?
CSV (Comma-Separated Values) is a plain-text tabular format where rows are lines and fields are separated by commas, with quoting rules for values that contain delimiters, quotes, or newlines. It has no formal type system and depends on encoding and dialect conventions. It is the most portable format for tabular data exchange.
How to use this file
Use an example CSV to test parsers against quoting and embedded-delimiter edge cases, header handling, encoding detection, and import pipelines into databases or spreadsheets.
How to use this file for testing
“Packed NetCDF — Unpacked Ground Truth (.csv)” is a deterministic Novus Examples fixture for Scientific data, Conversion testing, Editor 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: 120 rows · 7 columns. 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.
Code examples
import pandas as pd
df = pd.read_csv("packed-scale-offset-unpacked.csv")
print(df.head())
print(df.dtypes)Related files
- csvGridded Air Temperature — CSV Ground Truth (.csv)Every value from the CF-1.8 NetCDF grid flattened to one row per cell, with the axis values spelled out in full. Diff a NetCDF-to-table export against this file to prove the reader walked the dimensions in (time, lat, lon) order and did not silently transpose the array.
- csvChemistry Fixture Molecule Index (.csv)One row per molecule used across the chemistry fixtures, with formula, molecular weight, SMILES and the atom and bond counts each file should yield. It is the oracle a cheminformatics toolkit can be scored against without needing a second toolkit to generate the answers.
- csvDICOM-Shaped Dataset — Element Table Reference (.csv)Every element of the synthetic phantom dataset as tag, value representation, meaning and encoded length, in the ascending tag order the standard mandates. Diff a parser's element list against it to check both the ordering rule and the two different length encodings.
- molEthanol — MDL Molfile V2000 (.mol)Ethanol as a V2000 molfile with fixed-column 3D coordinates, a nine-atom counts line and an eight-bond block. The column widths are part of the format rather than a convention, so it is a genuine test of fixed-width parsing rather than of whitespace splitting.
- sdfEthanol — SDfile With Data Fields (.sdf)An SDfile wrapping the identical ethanol molfile plus five tagged data fields and the mandatory $$$$ terminator. The property block syntax — a header line, a value and a blank line — is where SDfile parsers usually diverge from molfile parsers.
- smiEthanol — SMILES String (.smi)Ethanol as a single tab-delimited SMILES record, the most compressed member of this family: three heavy atoms with every hydrogen implicit and no geometry whatsoever. Round-tripping molfile to SMILES and back is the classic lossy conversion, and this pair is the reference for it.
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