Iris Surface Features Dataset
Individual human iris-feature records are directly reusable for iris biometrics and phenotype classification.
At a glance
| Field | Value |
|---|---|
| Short name | dryad_iris_surface_features |
| Full name | Iris Surface Features Dataset |
| First published | 2015-12-14 |
| Publication date precision | day |
| Publication date evidence | https://doi.org/10.5061/dryad.0kt87 |
| Publication date source field | Published |
| Publication date reviewed | 2026-09-11 |
| Primary category | iris_biometrics |
| Resource role | current_dataset |
| Dataset family | dryad_iris_surface_features |
| Contained modalities | iris_biometrics, external_eye, tabular |
| Tasks | classification |
| Primary reported quantity | Not reported |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | 0.000175121 GB |
| Source-stated terms | https://spdx.org/licenses/CC0-1.0.html |
| Normalized terms | cc0 |
| Descriptive screening label | Standard label without an explicit NC clause; not a permission finding |
| Terms scope | dataset_files |
| Access friction | self_service_authenticated |
| Route backend | Dryad |
| Availability | available (checked 2026-08-01) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Metadata and access only |
Reported quantities
No reproducible primary item count was exposed for the cataloged source version.
Counts retain their source-reported units. Additional rows can describe components, paired items, or derivative copies and are not automatically added to the primary quantity.
Notes
Scope screen: core_add. Current Dryad v1 file listing: 1 files, 155993 bytes.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download dryad_iris_surface_features --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download dryad_iris_surface_features --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('dryad_iris_surface_features')
print(preflight_dataset(ds, './data')) # no download
Upstream page: https://doi.org/10.5061/dryad.0kt87
Source-term evidence: https://doi.org/10.5061/dryad.0kt87
Loader status
This catalog record provides metadata and access instructions, but it does not yet include a standard DatasetSample loader. Inspect the source file structure or contribute a loader before using it in a training pipeline.
Citation
- BibTeX
- Plain text
@misc{dryad_iris_surface_features,
title = { Iris Surface Features Dataset },
note = { Edwards, Melissa, Cha, David, Krithika, S., Johnson, Monique, and Parra, Esteban J.. Data from: Analysis of iris surface features in populations of diverse ancestry. Dryad. 2015. doi:10.5061/dryad.0kt87 },
year = { 2015 },
url = { https://doi.org/10.5061/dryad.0kt87 },
}
Edwards, Melissa, Cha, David, Krithika, S., Johnson, Monique, and Parra, Esteban J.. Data from: Analysis of iris surface features in populations of diverse ancestry. Dryad. 2015. doi:10.5061/dryad.0kt87
Source-stated terms
- Raw source string: https://spdx.org/licenses/CC0-1.0.html
- Normalized category:
cc0 - Apparent scope:
dataset_files - Descriptive screening label: Standard label without an explicit NC clause; not a permission finding
⚠️ Source-stated terms, scope, and normalized labels are curation metadata, not legal advice or a permission finding. Review the current official source before transfer or reuse.
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