Functional OCT Retinal Response Dataset
Repeated light/dark SD-OCT acquisitions and retinal reflectivity profiles from healthy, neuromyelitis-optica, and Alzheimer groups.
At a glance
| Field | Value |
|---|---|
| Short name | dryad_functional_oct_alzheimer |
| Full name | Functional OCT Retinal Response Dataset |
| Primary category | oct |
| Contained modalities | oct |
| Tasks | classification, registration, regression |
| Samples | Not reported |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | 2.058 GB |
| Source-stated terms | CC0 1.0 |
| Normalized terms | cc0 |
| Descriptive screening label | Standard label without an explicit NC clause; not a permission finding |
| Terms scope | dataset_files |
| Access friction | anonymous_direct |
| Route backend | Dryad |
| Availability | available (checked 2026-07-21) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Metadata and access only |
Notes
The release contains repeated acquisitions across four experiments; source groups include eight young adults, three participants with aquaporin-4 antibodies, 14 early-onset Alzheimer patients, and 14 age-matched controls. Group overlap is not assumed in num_samples.
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download dryad_functional_oct_alzheimer --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download dryad_functional_oct_alzheimer --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('dryad_functional_oct_alzheimer')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: https://doi.org/10.5061/dryad.msbcc2ftc
Source-term evidence: https://doi.org/10.5061/dryad.msbcc2ftc
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_functional_oct_alzheimer,
title = { Functional OCT Retinal Response Dataset },
note = { Bissig D, Zhou C, Le V, Bernard J. A practical approach to functional optical coherence tomography shows abnormal retinal responses in Alzheimer's disease. Dryad. 2020. doi:10.5061/dryad.msbcc2ftc },
year = { 2020 },
url = { https://doi.org/10.5061/dryad.msbcc2ftc },
}
Bissig D, Zhou C, Le V, Bernard J. A practical approach to functional optical coherence tomography shows abnormal retinal responses in Alzheimer's disease. Dryad. 2020. doi:10.5061/dryad.msbcc2ftc
Source-stated terms
- Raw source string: CC0 1.0
- 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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