Description: <p>This dataset contains 3,000 simulated suspicious activity reports distributed across 15 major U.S. cities, each corresponding to a notional security or administrative office location. Each report is randomly generated with plausible attributes including time reported, type of activity, severity, response time, and resolution status.</p>
<p>Incident types are modeled after real-world suspicious activity indicators (e.g., loitering, cyber threats, unauthorized access) commonly used in homeland security, public safety, and corporate security environments. The dataset is designed to support development and testing of ArcGIS dashboards, Experience Builder applications, and analytical workflows for triage, risk assessment, and situational awareness.</p>