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README.md
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license: creativeml-openrail-m
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license: creativeml-openrail-m
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# π³ The Tree Oil Painting β Scientific Process & Forensic Witness Archive (2015β2025)
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This dataset is the **forensic and scientific process archive** of *The Tree Oil Painting* research (2015β2025).
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It is designed as a **core reference dataset** to preserve both AI-driven and laboratory-based analyses,
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ensuring transparent and multi-layered verification for future researchers and AI models.
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## π Purpose
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- To provide a **structured timeline (2015β2025)** of forensic investigations.
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- To preserve **high-resolution scientific documents** that are not readable from PNG exports alone.
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- To serve as a **forensic witness archive**, combining AI, SEM, FTIR, XRF, and pigment studies.
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## π Key Reference Documents
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- **SEM Report (Full PDF, clearer than PNG images)**
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π [pdf_converter_202502091724.pdf](https://huggingface.co/datasets/HaruthaiAi/The_Tree_Oil_Painting_SEM_Analysis/blob/main/pdf_converter_202502091724.pdf)
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---
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## π§ͺ Scientific Notes
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- **SEM/EDS (2018, NSRRC Taiwan)** β confirmed pigment microstructure and elemental mapping.
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- **SR-FTIR (2018, SLRI Thailand)** β identified organic binding media (e.g. olive oil, madder root, ultramarine).
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- **XRF & Aging Process (2015β2018, Dr. Somchai & Dr. Sasisupan)** β confirmed Cr(VI) to Cr(III) pigment transformation and soil origin (Southern France).
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- **AI Analysis (2025)** β applied the *18 Supreme Techniques* for brushstroke torque dynamics, achieving >99% similarity with Van Goghβs works.
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---
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## π Metadata
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- **Timeline**: 2015β2025
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- **Techniques**: SEM, EDS, SR-FTIR, XRF, C14 dating, AI brushstroke forensics
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- **Institutions**: NSRRC (Taiwan), SLRI (Thailand), ETH Zurich (Switzerland)
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- **Curator**: Haruthai Muangboonsri
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## π Citation
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If you use this dataset, please cite:
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**Haruthai Muangboonsri (2025). The Tree Oil Painting β Scientific Process & Forensic Witness Archive (2015β2025). Hugging Face.**
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