Temporal Spatial Tracking Dataset

Component description / functionalities

Dataset-This dataset contains time-stamped spatial tracking records collected from tagged entities (e.g., wearable tags, assets, or devices) operating within a monitored environment. Each row represents a single localization event captured at a precise moment in time, including 3D position coordinates and device status information. The dataset is inherently temporal and spatial, making it suitable for trajectory reconstruction, movement analysis, and time-based behavioral studies.

IPCEI CIS Reference Architecture

AI Layer
Data Layer

Open source license

CC BY 4.0
Keywords
spatio-temporal-dataset
temporal-spatial-tracking
trajectory-tracking
motion-tracking
object-tracking-dataset
time-series-trajectory-data
localization-events
indoor-positioning-data
3d-coordinate-tracking
xyz-positions
multi-entity-tracking
event-based-tracking
sensor-data
iot-tracking-dataset
wearable-tracking-data
asset-tracking
behavioral-analytics
movement-analysis
trajectory-reconstruction
path-analysis
velocity-estimation
acceleration-analysis
dwell-time-analysis
anomaly-detection
spatial-analysis
temporal-analysis
real-time-tracking
high-frequency-data
timestamped-events
device-monitoring-data
battery-level-tracking
tag-based-tracking
cartesian-coordinates
data-streaming-events
smart-environment-data
robotics-navigation-data
multimodal-spatial-data
cc-by-4.0
villanova-ai
applied-ai-dataset