Eyecatcher Tablet-Based Visual Field Home-Monitoring Data
Visual-field data from glaucoma home monitoring: mean deviation, duration, and pointwise differential light sensitivity values across HFA and Eyecatcher tests.
At a glance
| Field | Value |
|---|---|
| Short name | eyecatcher_visual_field |
| Full name | Eyecatcher Tablet-Based Visual Field Home-Monitoring Data |
| Primary category | visual_field |
| Contained modalities | visual_field |
| Tasks | regression, classification |
| Samples | 440 |
| Classes | Not reported (Not reported) |
| Splits | all |
| Size | 0.01 GB |
| Source-stated terms | CC BY 4.0 |
| Normalized terms | cc-by |
| Descriptive screening label | Standard label without an explicit NC clause; not a permission finding |
| Terms scope | dataset_files |
| Access friction | anonymous_direct |
| Route backend | Mendeley Data |
| Availability | available (checked 2026-07-21) |
| Acquisition support | standard_platform_supported |
| Legacy sample-loader status | Metadata and access only |
Access preflight and acquisition
- CLI
- Python
# Read-only preflight
eyehub download eyecatcher_visual_field --data-dir ./data --dry-run --json
# Explicit transfer, only when preflight reports supported behavior
eyehub download eyecatcher_visual_field --data-dir ./data
from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY
ds = REGISTRY.get_dataset('eyecatcher_visual_field')
print(preflight_dataset(ds, './data')) # no transfer
Upstream page: data.mendeley.com/datasets
Source-term evidence: data.mendeley.com/datasets
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{eyecatcher_visual_field,
title = { Eyecatcher Tablet-Based Visual Field Home-Monitoring Data },
note = { Jones P. Data for glaucoma home-monitoring using a tablet-based visual field test (Eyecatcher). Mendeley Data, V2, 2021. doi:10.17632/swsfj47cxw.2 },
year = { 2021 },
url = { https://data.mendeley.com/datasets/swsfj47cxw/2 },
}
Jones P. Data for glaucoma home-monitoring using a tablet-based visual field test (Eyecatcher). Mendeley Data, V2, 2021. doi:10.17632/swsfj47cxw.2
Source-stated terms
- Raw source string: CC BY 4.0
- Normalized category:
cc-by - 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.
Related datasets with shared modalities
- uwhvf: UWHVF: University of Washington Humphrey Visual Field (28,943 records,
cc-by) - grape: GRAPE: Glaucoma Real-world Appraisal Progression Ensemble (1,115 records,
cc0) - harvard_gdp: Harvard GDP: Glaucoma Detection and Progression Dataset (1,000 records,
cc-by-nc-nd) - dryad_glaucoma_rnfl_vf: RNFL and Visual-Field Glaucoma Diagnosis Dataset (499 records,
cc0) - stage_task1: STAGE 2023 Task 1 — Mean Deviation Prediction from OCT (400 records,
research-only) - stage_task2: STAGE 2023 Task 2 — Visual Field Sensitivity Map Prediction (400 records,
research-only) - stage_task3: STAGE 2023 Task 3 — Pattern Deviation Probability Map (400 records,
research-only) - fairvlmed: FairVLMed: Fair Vision-Language Medical Ophthalmic Dataset (count not reported records,
unknown)