tscnlab/melidos-knust-glc-dataset

GLC 3.0.2 data package for the MeLiDos field study conducted at the KNUST site in Kumasi, Ghana. # MeLiDos KNUST GLC dataset This repository contains the Kumasi, Ghana site data collected by Kwame Nkrumah University of Science and Technology (KNUST) for the MeLiDos field study. It is a GLC Schema 3.0.2 Data Package derived from the original MeLiDos dataset. The package entry point is `datapackage.json`. Core study, participant, device, datasheet, dataset, and variable metadata are stored in `data/`. Participant-level CSV files referenced by `data/datasets.json` are organized as: - `data/files/sensor/`: participant-level head, chest, and wrist sensor tables; - `data/files/longitudinal-reports/`: diaries, experience and wear logs, and repeated assessments; - `data/files/questionnaires/`: screening, baseline, and end-of-study questionnaires; - `data/files/study-timing/`: participant trial-period records. The source dataset is: > Akuffo, K. O., Agbeshie, G. K., Zauner, J., & Spitschan, M. (2025). > *Personal light exposure dataset for Kumasi, Ghana* (Version 1.0.1) > [Data set]. doi.org The refactoring converts the imported tabular RData resources to UTF-8 CSV, separates records by participant, and supplies GLC 3.0.2 metadata without modifying the source repository. ## Validation The complete package passes GLC Schema 3.0.2 validation with validator 0.5.2. Validation reports 0 errors. Its warnings identify empty cells already present in the source tables, including gaps in some sensor streams. Validation also runs automatically through `.github/workflows/validate-glc-dataset.yml`. Successful runs produce an attested `validation-report` artifact containing `validation.json` and `validated-files-manifest.json`. ## License The dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). See `LICENSE`.