Raw SEM, TEM, EDS and XRD Data of Hydrodynamic Cavitation-Synthesized Fullerenols, Carbynoid Carbon Nanostructures and Aluminium-Based Nanomaterials (2019–2020)

This dataset contains all microscopy and spectroscopic data acquired for carbon- and aluminium-based nanomaterials synthesised via hydrodynamic cavitation between 2019 and 2020. It includes: Scanning Electron Microscopy (SEM) images with TESCAN HDR metadata Transmission Electron Microscopy (TEM) images of hydrofullerenes C60(OH)n Energy-Dispersive X-ray Spectroscopy (EDS) spectra Selected X-ray Diffraction (XRD) patterns and supporting files Fractal Analysis Summary Fractal box-counting analysis was performed on exactly 74 images. The effective Hausdorff dimension Dbox D_{\rm box} Dbox clusters tightly around a mean value of 1.908. SEM images yield slightly higher values (mean 1.943), while TEM images give lower values (mean 1.854). These differences reflect the distinct depth sensitivity and surface projection characteristics of the two imaging techniques. The dataset includes a portable Python script boxcount_all_materials.py for full reproduction of the box-counting analysis, together with a manifest.txt file containing SHA256 checksums of all files. Related Publication Hamalii, V. (2026). Entropy as geometric conflict in nonequilibrium steady states: a phenomenological fractal attractor near D≈1.89 D \approx 1.89 D≈1.89 (submitted to SciPost Physics). License: CC-BY 4.0