Python workflow (Google Colab) for visualisation generation and the associated datasets (NVivo exports) for: Indigenous knowledge techniques associated with the treatment of venereal diseases in Okitipupa Local Government Area, Nigeria

This repository contains the the Python source code and associated raw data matrices + ehnobotanical index computation worksheets for an ethnobotanical study on venereal diseases treatment in Okitipupa LGA. Specifically, the dataset includes NVivo-exported matrix coding queries used to analyse relationships between traditional medicine practitioners (TMPs), plant species, and therapeutic rationales. It also provides the worksheets for quantitative ethnobotanical indices including Use Value (UV), Fidelity Level (FL), and Factor of Informant Consensus (Fic). Content:Biomed_Ethnobotanical_Visualisations.ipynb: A Python Jupyter Notebook (Google Colab) containing the complete computational pipeline. This includes scripts for importing the .xlsx matrices, calculating ethnobotanical indices, and generating the various charts used in the manuscript.Biomed_PlantCitationAcrossTMPs_Evaluation.xlsx: A cross-tabulation matrix of TMPs versus plant species. This file captures the citation frequency of each plant by individual practitioners and serves as the primary dataset for citation dispersion analysis.​Biomed_PotencyDeterminationAcrossTMPs_MatrixCodingQuery.xlsx: An NVivo-exported matrix coding output that identifies the qualitative rationales (e.g., consulter feedback, personal experience, gift appreciation) provided by TMPs to justify the potency of their venereal disease remedies.Biomed_PrepMethod&AdminModeRelationship_MatrixCodingQuery.xlsx: A matrix coding query file illustrating the relationship between preparation methods (e.g., decoction, infusion, maceration) and their corresponding modes of administration (oral vs. topical).Biomed_UseValueEvaluation.xlsx: A computation worksheet containing the values for Number of Uses (Nur) and Number of Informants (N) used to calculate the Use Value (UV) for each plant species across venereal disease categories.Biomed_FidelityLevelEvaluation.xlsx: A quantitative worksheet used for calculating the Fidelity Level (FL) percentages, representing the preference of practitioners for specific plants in treating certain STI categories.Biomed_UseReport(PartsUsed)ofPlantSpecies_MatrixCodingQuery.xlsx: A detailed matrix of plant species versus the specific morphological parts used (e.g., roots, leaves, seeds) in remedy preparations, based on the accumulated use-reports.Biomed_FicEvaluation.xlsx: An Informant Consensus Factor (Fic/ICF) support sheet containing the categorised venereal diseases and the respective counts of use-reports and taxa, used to evaluate the consistency of Indigenous knowledge.