"Solar Drying Kinetics Dataset of Charal (Chirostoma spp.) under Low-Temperature Conditions"

"This dataset contains experimental and model-assisted time-series data describing the solar drying kinetics of whole charal (Chirostoma spp.) under low-temperature conditions. Drying experiments were conducted using different configurations, including forced convection, natural convection, and open-air drying, representative of artisanal and small-scale fish processing practices. The dataset includes gravimetrically measured moisture data recorded at 30-minute intervals from initial conditions to equilibrium moisture content.In addition to raw experimental measurements, the dataset provides reconstructed drying trajectories generated using validated thin-layer drying models, enabling noise-reduced and physically consistent representations of moisture ratio evolution. These model-assisted trajectories were used to construct structured time-series suitable for deep learning applications. The dataset further includes derived features and normalized sequences employed for training and evaluating convolutional neural network (CNN), long short-term memory (LSTM), and hybrid CNN\u2013LSTM models.This dataset supports the development, benchmarking, and validation of empirical, physics-informed, and data-driven models for solar drying processes. It is intended to facilitate reproducibility, comparative analysis, and future research on sustainable drying technologies for fish and other biological products under variable environmental conditions."