Particle-Resolved Scanning Electron Microscopy and Energy-Dispersive X-Ray Spectroscopy Dataset of Mechanically Alloyed AlCoCrFeNi High-Entropy Alloy Powders

The dataset includes unprocessed SEM images, manually segmented particle regions, and associated normalized elemental composition vectors. No image enhancement, denoising, or algorithmic labeling was applied at the data acquisition stage, ensuring that the dataset represents the raw experimental observations. This dataset was developed to support data-driven analysis of alloying quality and compositional uniformity in mechanically alloyed HEA powders and serves as the foundational input for morphology-guided statistical analysis and machine learning workflows.

It may be used for particle-level classification, regression, clustering, or benchmarking of image-based characterization approaches in powder metallurgy and high-entropy alloy research.