DATASET FOR MSc DISSERTATION – A SURVEY OF ARTIFICIAL INTELLIGENCE AND PREDICTIVE MODELLING TECHNIQUES FOR REAL-TIME ANTI-POACHING MONITORING

The dataset contains outputs from the systematic literature review (SLR), including 46 peer-reviewed papers, related reference materials, and data on SMART and PAWS systems. It also includes raw data from field data collection and analysis, relevant permits and consent forms, and supplementary reference papers that informed the study. Additionally, the dataset incorporates PRISMA documentation outlining the screening and selection process, providing a complete and transparent foundation for the research on AI-based real-time anti-poaching monitoring.