Supplementary Materials for Field-Based Conceptualization of Time and Knowledge in Ancient Calendars: A Cross-Cultural Analysis with Rongorongo as a Case Study

This dataset contains supplementary materials for the article "Field-Based Conceptualization of Time and Knowledge in Ancient Calendars: A Cross-Cultural Analysis with Rongorongo as a Case Study" by Cato Erga. The study proposes that ancient cultures conceptualized time and knowledge as a spatial, cyclical field, using the rongorongo script’s lunar calendar (Mamari tablet, Text C) as a case study, with comparisons to 16 cultures including Maya, Aztec, Tibetan, Cherokee, and Indus Valley. **Contents**:- **data/** - `glyph_database.csv`: 24 glyph entries from rongorongo and Maya sources, with field-based terms, similarities, and entropies. - `fmri_data_summary.json`: Summary of fMRI data (*Ψ_xt_sub-01_task-checkerboard_run-1_bold*, OpenNeuro ds003397) analyzed in this study, validated using the HHM v2.1 model [](https://doi.org/10.5281/zenodo.16461345).- **visualizations/** - `heatmap.json`: Interactive heatmap of sequence similarities (Supplementary Figure S1). - `network_graph.json`: Interactive network graph of sequence relationships (Supplementary Figure S2).- **code/** - `generate_visualizations.py`: Python script to generate visualizations using Plotly.- `field_based_calendars.md`: Full article manuscript in Markdown format.- `README.md`: Instructions for accessing and using the dataset. **Usage**:- Access the full fMRI dataset at [OpenNeuro ds003397](https://openneuro.org/datasets/ds003397).- Load visualizations in [Plotly Chart Studio](https://chart-studio.plotly.com/) or a Jupyter notebook with Plotly.- Run `generate_visualizations.py` (requires Python 3.8+, Plotly) to recreate visualizations.- Cite this dataset and the HHM v2.1 model [https://doi.org/10.5281/zenodo.16543165](https://doi.org/10.5281/zenodo.16461345) when using these materials. **Contact**: Cato Erga ([e-mail]) Version 2 updates the DOI in the article and README files.