Detection of SARS-CoV-2 in conjunctival secretion and tears in patients with COVID-19 in a tertiary care centre, South India
Official Dryad deposit of source-described tabular ophthalmic data for the associated study.
At a glance
| Field | Value |
|---|---|
| Short name | dryad_rn8pk0pdp |
| Full name | Detection of SARS-CoV-2 in conjunctival secretion and tears in patients with COVID-19 in a tertiary care centre, South India |
| First published | 2022-10-16 |
| Publication date precision | day |
| Publication date evidence | https://doi.org/10.5061/dryad.rn8pk0pdp |
| Publication date source field | Published |
| Publication date reviewed | 2026-09-11 |
| Primary category | tabular |
| Resource role | current_dataset |
| Dataset family | dryad_rn8pk0pdp |
| Contained modalities | tabular |
| Tasks | detection |
| Primary reported quantity | 80 participants |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | 0.000197569 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
| Role | Count | Unit | Scope | Basis | Evidence |
|---|---|---|---|---|---|
| Primary | 80 | participants | Source-described COVID-19 participants with conjunctival sampling Source-stated scientific quantity; current Dryad file count is separate repository metadata. | official_source_description | https://doi.org/10.5061/dryad.rn8pk0pdp |
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 v6 file listing: 2 files, 197569 bytes.
Access information and download
- CLI
- Python
# Read-only preflight
eyehub download dryad_rn8pk0pdp --data-dir ./data --dry-run --json
# Download, only when preflight reports supported behavior
eyehub download dryad_rn8pk0pdp --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('dryad_rn8pk0pdp')
print(preflight_dataset(ds, './data')) # no download
Upstream page: https://doi.org/10.5061/dryad.rn8pk0pdp
Source-term evidence: https://doi.org/10.5061/dryad.rn8pk0pdp
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_rn8pk0pdp,
title = { Detection of SARS-CoV-2 in conjunctival secretion and tears in patients with COVID-19 in a tertiary care centre, South India },
note = { Nayak Rajesh, Bhat Sevitha, R Kamath Ajay, Chandak Anshul, Khare Kanishk. Detection of SARS-CoV-2 in conjunctival secretion and tears in patients with COVID-19 in a tertiary care centre, South India. Dryad. 2022. doi:10.5061/dryad.rn8pk0pdp },
year = { 2022 },
url = { https://doi.org/10.5061/dryad.rn8pk0pdp },
}
Nayak Rajesh, Bhat Sevitha, R Kamath Ajay, Chandak Anshul, Khare Kanishk. Detection of SARS-CoV-2 in conjunctival secretion and tears in patients with COVID-19 in a tertiary care centre, South India. Dryad. 2022. doi:10.5061/dryad.rn8pk0pdp
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.
Similar resources by shared modality
- ocular_chat_vqa: OcularChat-VQA: AREDS-Derived Patient-Physician Dialogue Dataset (844,000 records,
cc-by-nc-sa) - brset_mbrset_embeddings: Embedding-Based Representations for BRSET and mBRSET (53,188 embedding vectors,
unknown) - lmod_plus: LMOD+ Multimodal Ophthalmology Benchmark (32,633 annotated instances,
unknown) - oculoscope: OculoScope: Fairer AI in Ophthalmology Dataset (16,530 images,
cc-by) - dryad_r7s04: Data from: Prevalence of depression, anxiety, adjustment disorders, and somatoform disorders in patients with age-related macular degeneration in Germany (15,160 participants,
cc0) - fairvlmed: FairVLMed: Fair Vision-Language Medical Ophthalmic Dataset (10,000 images,
cc-by-nc-nd) - leops_erg: LEOPs Light-Adapted Electroretinogram and Oscillatory Potentials Dataset (9,743 signals,
cc-by) - dryad_icmr_eye_see_cataract: ICMR EYE SEE Cataract and Sun Exposure Dataset (9,735 participants,
cc0)