Comprehensive- analytical dataset on herbo-mineral formulation Chandramrita rasa: HPTLC fingerprinting with piperine estimation, FTIR Spectroscopy, SEM-EDS, XRD, CHNS-O, ICP-AES and AAS characterization

This dataset provides a comprehensive pharmaceutico-analytical profile of Chandramrita Rasa (CHR), a classical Ayurvedic herbo-mineral formulation traditionally indicated for managing fever, cough, cold, bronchitis, asthma, and related respiratory disorders. To comprehensively characterize its phytochemical, elemental, physicochemical, morphological, and crystalline properties, CHR was evaluated using multiple complementary analytical techniques, including High-Performance Thin-Layer Chromatography (HPTLC), Fourier Transform Infrared Spectroscopy (FTIR), CHNS-O elemental analysis, Inductively Coupled Plasma–Atomic Emission Spectroscopy (ICP-AES), Atomic Absorption Spectroscopy (AAS), Field Emission Scanning Electron Microscopy coupled with Energy Dispersive X-ray Spectroscopy (FEG-SEM/EDS), and X-ray Diffraction (XRD). The HPTLC dataset includes chromatograms, densitograms, calibration data, peak profiles, and quantitative estimation of piperine, while FTIR provides characteristic spectral fingerprints representing major functional groups present in the formulation. CHNS-O, ICP-AES, and AAS datasets provide quantitative information on organic and inorganic elemental composition, including major and trace elements. FEG-SEM/EDS data provide morphological and elemental information, whereas XRD data facilitate evaluation of the crystalline characteristics and phase composition of the formulation. Advanced chromatographic, spectroscopic, spectrometric, microscopic, and diffraction-based approaches were integrated to generate a multidimensional analytical fingerprint of CHR. Key analytical parameters, including retention factors, peak characteristics, spectral absorption bands, elemental concentrations, morphological features, and diffraction patterns, are compiled to support interpretation and comparative evaluation. The dataset is structured to facilitate pharmaceutical characterization, quality control, authentication, analytical method development, and standardization of Ayurvedic herbo-mineral formulations. The compiled analytical data, including chromatograms, densitograms, spectra, elemental profiles, microscopic images, and diffraction patterns, provide a reproducible reference for researchers investigating the physicochemical and analytical characteristics of CHR. The dataset may further support comparative research, quality-assurance studies, computational analysis, and future investigations aimed at establishing standardized analytical profiles for classical Ayurvedic formulations.