Venon28/SAXS
📡 SAXS Synthetic Scattering Curves Dataset Thousands of physically accurate Small Angle X-ray Scattering (SAXS) curves, generated from rigorous physical models. 🔬 What is this dataset? This dataset provides synthetic SAXS intensity curves I(q) generated using validated physical scattering models (via SASmodels), covering a wide range of nanoparticle shapes, materials, sizes, and concentrations. Each curve is fully labelled with its physical parameters, making… See the full description on the dataset page: https://huggingface.co/datasets/Venon28/SAXS.
📡 SAXS Synthetic Scattering Curves Dataset
Thousands of physically accurate Small Angle X-ray Scattering (SAXS) curves, generated from rigorous physical models.
🔬 What is this dataset?
This dataset provides synthetic SAXS intensity curves I(q) generated using validated physical scattering models (via SASmodels), covering a wide range of nanoparticle shapes, materials, sizes, and concentrations.
Each curve is fully labelled with its physical parameters, making it immediately usable for:
- Training ML models to predict nanoparticle parameters from experimental curves
- Benchmarking fitting algorithms
- Data augmentation for experimental datasets
- Developing automated analysis pipelines
📊 Sample Visualization
(See attached figures in the dataset repository) ---
💼 Versions & Pricing
This page hosts a free sample (~100 curves). Full commercial versions are available on Gumroad →
🚀 Ploting function exemple
import h5py
import numpy as np
import matplotlib.pyplot as plt
def plotSaxs(h5_path, index_to_plot=0):
with h5py.File(h5_path, 'r') as f:
# Extract Data
q = f.attrs['q']
intensities = f['intensities'][index_to_plot]
material = f.attrs.get('material', 'Unknown').upper()
shape = f.attrs.get('shape', 'Unknown').capitalize()
# Extract specific metadata for the legend
params_str = ""
for k in f.keys():
if k == 'intensities':
continue
val = f[k][index_to_plot]
params_str += f"{k}: {val:.2f} | "
# Plotting Setup
plt.rcParams.update({
'font.size': 12,
'axes.labelsize': 14,
'xtick.labelsize': 12,
'ytick.labelsize': 12,
'legend.fontsize': 10,
'lines.linewidth': 2,
'figure.dpi': 200
})
fig, ax = plt.subplots(figsize=(9, 5))
# main curve
ax.loglog(q, intensities, color='#1f77b4', label=f"{material} {shape}")
ax.set_xlabel(r'Scattering Vector $q$ ($\mathring{A}^{-1}$)')
ax.set_ylabel(r'Intensity $I(q)$ ($cm^{-1}$)')
ax.set_title(f'Simulated SAXS Profile: {material} {shape}', pad=15)
# Styling the Grid and Spines
ax.grid(True, which="both", ls="-", alpha=0.2)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
# Adding metadata info as a text box or legend
props = dict(boxstyle='round', facecolor='white', alpha=0.5)
ax.text(0.05, 0.05, params_str.rstrip(' | '), transform=ax.transAxes,
fontsize=9, verticalalignment='bottom', bbox=props)
ax.legend(frameon=False)
plt.tight_layout()
# Save as PDF or TIFF
save_path = h5_path.replace('.h5', '.tiff')
plt.savefig(save_path)
print(f"Plot saved to: {save_path}")
plt.show()📄 License
This dataset is released under a Commercial Restricted License.
- ✅ Academic and research use: free
- ✅ Internal ML training: free for non-commercial entities
- ❌ Commercial use (products, services, APIs): requires a paid license
See LICENSE for full terms.
📬 Contact & Custom Orders
Need a specific material, shape, q-range, or instrument noise model? → [Contact via Gumroad](https://venon28.gumroad.com/) or open a Discussion on this page.
📖 Citation
If you use this dataset in academic work, please cite:
@dataset{saxs_2026,
author = {Thevenon, Esteban},
title = {SAXS Synthetic Scattering Curves Dataset},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/Venon28/SAXS}
}