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@@ -5,7 +5,105 @@ license_link: LICENSE
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  tags:
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  - medical
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  - chemistry
 
 
 
 
 
 
 
 
 
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  pretty_name: SAXS Scattering Curves Dataset
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  size_categories:
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  - 100K<n<1M
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  tags:
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  - medical
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  - chemistry
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+ - saxs
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+ - small-angle-x-ray-scattering
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+ - nanoparticles
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+ - synthetic-data
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+ - physics-simulation
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+ - materials-science
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+ - scattering
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+ - machine-learning
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+ - deep-learning
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  pretty_name: SAXS Scattering Curves Dataset
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  size_categories:
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  - 100K<n<1M
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+ task_categories:
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+ - regression
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+ - classification
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+ ---
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+
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+
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+ # 📡 SAXS Synthetic Scattering Curves Dataset
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+
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+ > **Thousands of physically accurate Small Angle X-ray Scattering (SAXS) curves, generated from rigorous physical models.**
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+
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+ ---
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+
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+ ## 🔬 What is this dataset?
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+
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+ This dataset provides synthetic **SAXS intensity curves I(q)** generated using validated physical scattering models (via [SASmodels](https://github.com/SasView/sasmodels)), covering a wide range of nanoparticle shapes, materials, sizes, and concentrations.
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+
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+ Each curve is **fully labelled** with its physical parameters, making it immediately usable for:
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+ - Training ML models to **predict nanoparticle parameters from experimental curves**
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+ - **Benchmarking** fitting algorithms
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+ - **Data augmentation** for experimental datasets
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+ - Developing **automated analysis pipelines**
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+
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+ ---
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+
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+ ## 🚀 Quick Start
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+
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+ ```python
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+ import h5py
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+ import numpy as np
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+ import matplotlib.pyplot as plt
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+
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+ with h5py.File("saxs_ag_sphere.h5", "r") as f:
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+ q = f.attrs["q"] # shape (1000,)
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+ intensities = f["intensities"][:, :] # shape (N, 1000)
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+ radii = f["radius"][:] # shape (N,) in nm
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+ conc = f["concentration"][:] # shape (N,) in part.cm⁻³
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+
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+ # Plot a random curve
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+ idx = np.random.randint(len(radii))
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+ plt.loglog(q, intensities[idx])
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+ plt.xlabel("q (Å⁻¹)")
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+ plt.ylabel("I(q) (cm⁻¹ × 10¹²)")
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+ plt.title(f"r = {radii[idx]:.1f} nm, c = {conc[idx]:.2e} cm⁻³")
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+ plt.show()
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+ ```
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+
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+
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+ ## 💼 Versions & Pricing
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+
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+ This page hosts a **free sample** (~100 curves).
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+ Full commercial versions are available on [Gumroad →](https://gumroad.com)
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+
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+ | Tier | Curves | Shape | Material | Price |
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+ |---|---|---|---|---|
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+ | **Sample** (this page) | 100 | sphere | ag | Free |
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+ | **Custom** | Unlimited | Custom | Custom | On request |
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+
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+ ---
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+
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+ ## 📄 License
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+
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+ This dataset is released under a **Commercial Restricted License**.
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+ - ✅ Academic and research use: **free**
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+ - ✅ Internal ML training: **free for non-commercial entities**
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+ - ❌ Commercial use (products, services, APIs): **requires a paid license**
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+
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+ See [LICENSE](./LICENSE) for full terms.
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+
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+ ---
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+
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+ ## 📬 Contact & Custom Orders
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+
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+ Need a specific material, shape, q-range, or instrument noise model?
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+ → **[Contact via Gumroad](https://venon28.gumroad.com/)** or open a Discussion on this page.
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+
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+ ---
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+
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+ ## 📖 Citation
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+
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+ If you use this dataset in academic work, please cite:
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+
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+ ```bibtex
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+ @dataset{saxs_2026,
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+ author = {Thevenon, Esteban},
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+ title = {SAXS Synthetic Scattering Curves Dataset},
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+ year = {2026},
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+ publisher = {Hugging Face},
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+ url = {https://huggingface.co/datasets/Venon28/SAXS}
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+ }
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+ ```