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Time Series + Image Gen Hybrid Dataset

UNDER DEVELOPMENT

-Time series: Per-vertex/step generation, energy, phase; overall growth sequences.

-Image gen hybrid: Paired images of evolving graphs → train models on temporal graph dynamics with visual outputs (e.g., video frame prediction, graph-to-image).

-Time crystal generation — vertices with x/y/z coords, connections, generation step (time series growth), energy, temporalPhase, color, shape.

-Generation: Procedural simulation of graph evolving over steps, capturing time series metrics (vertices/edges/size over time).

-Edges as adjacency lists.

-Includes rendered images per growth step.

This dataset was generated with the TIMELINK app by webXOS, located in the /generator/ folder of the repo. Download it to create your own similar datasets.

Dataset Overview

Total Crystals: 8 Total Images: 275 Generation Time: 300.60 seconds Shapes Generated: temporal_ring

File Structure

dataset.zip/
├── dataset.json # Main dataset file (row-oriented)
├── dataset_metadata.json # Complete dataset metadata
├── summary.txt # Statistical summary
├── README.md # This file
└── crystal_*/ # Individual crystal folders
 ├── images/ # Crystal growth images
 └── metadata.json # Crystal-specific metadata

Data Format

Each crystal in dataset.json includes:

• 3D vertex positions (x, y, z)
• Edge connections between vertices
• Growth time series data
• Comprehensive metadata

Note: Images are stored separately in crystal folders to avoid large JSON files.

Applications

• Machine learning training data
• 3D graph generation research
• Quantum system simulation
• Time series analysis
• Computer graphics research

Citation

@misc{timelink_dataset, title={TIMELINK: Time Scaling Crystal Generator}, author={WebXOS}, year={2026}, note={webxos.netlify.app} }

License

MIT License