DOI-pinned · checksum-verified · pooch-style on-demand

A reproducible bank of raw NIRS reference datasets

Curated near-infrared spectroscopy datasets — provenance-rich, license-aware, and citable. Each is described by a full identity card; the bytes stay at their licensed origin and are fetched on demand, verified, and cached.

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The bank at a glance

Every dataset, measured

164

datasets

310,888

total samples

171

spectral sources

domains

multi-source

public-tier

Whole-bank dataviz

What's inside the bank

Computed once at build time and rendered as inline SVG — no trackers, no runtime chart library.

Wavelength coverage

Spectral range each family covers, in none (74 dataset(s) on another axis unit not shown)

Samples × features

Every dataset positioned by sample count and wavelength/feature count

Property profiles

Highest anomaly/heterogeneity profiles in the bank (0 center, 1 outer ring)

Datasets by domain

Application domains across the bank

Spectroscopy family

Single-modality family per dataset (mixed when heterogeneous)

Access tier

Governance tier: public / private / anonymized

Targets per dataset

How many prediction targets each dataset declares (0 = metadata-only)

Sample-size distribution

#samples per dataset (log-spaced bins) · median 151

Wavelength-count distribution

#wavelengths per dataset · median 2,101

License mix

SPDX license per dataset across the bank

Origin kinds

Where the bytes originate (zenodo / dataverse / url / …)

Use it in one line

One call, fully reproducible

Datasets download on demand by their pinned DOI, are checksum-verified, and cached locally.

# pip install nirs4all-datasets
from nirs4all_datasets import get

ds = get("cartilage_spectroscopy_scientificdata_nir")            # DOI-pinned, checksum-verified, cached
X, y = ds.x(), ds.y()
print(X.shape, y.shape)

Public datasets fetch openly; private/anonymized datasets need a Dataverse token. The bytes always live at their licensed origin — this catalog never redistributes them.

Provenance & citation

Built to be cited

Each dataset carries its DataCite provenance, origin sources, and publication DOIs. Cite the dataset DOI and its origin publications; respect each dataset's own license.

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