Raw Microscopy and Spectroscopic Data for Cavitation-Synthesized Nanomaterials (2019-2020)

Nine carbon- and aluminium-based nanomaterials synthesized by hydrodynamic cavitation between 2019 and 2020 are characterized in this dataset. Raw data includes Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), Energy Dispersive X-ray Spectroscopy (EDS), and X-ray Diffraction (XRD) files. A Python script is provided to reproduce the fractal analysis, which found the effective fractal dimension for all materials converges around D = 1.8868.

Use Cases

• Reproduce fractal dimension analysis based on the included Python script and microscopy images.
• Study the relationship between synthesis method (hydrodynamic cavitation) and material structure based on SEM and TEM data.
• Analyze elemental composition of multi-component nanomaterials based on Energy Dispersive X-ray Spectroscopy (EDS) data.
• Investigate crystallographic structure of selected samples based on X-ray Diffraction (XRD) data.

Strengths

• Includes raw data from four complementary characterization techniques (SEM, TEM, EDS, XRD).
• Covers nine distinct material samples synthesized between 2019 and 2020.
• Provides a reproducible Python script for fractal analysis, with a reported convergence dimension of D = 1.8868.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Viktor Hamalii

Collection Method

Materials synthesized by hydrodynamic cavitation and characterized using TESCAN VEGA3 SEM, TEM, EDS, and XRD instruments.

Time Range

2019-2020

Freshness

Last updated 2026-04-19 21:56:11; freshness should be verified.

Geography

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