Bibliographic Metadata of Water Quality Parameters for Synthetic Data Generation in Brazilian Aquatic Systems

This dataset contains curated bibliographic metadata extracted from 16 scientific articles related to water quality parameters in Brazilian aquatic systems. The dataset includes information on physicochemical parameters, measurement methods, observed value ranges, and contextual environmental conditions. It was developed to support the calibration and validation of synthetic data generation processes based on stochastic simulation. The dataset is part of a broader methodological framework associated with systematic literature review (PRISMA) and is intended to enhance reproducibility, transparency, and methodological rigor in environmental modeling and machine learning applications. Applications include:- Synthetic dataset generation- Calibration of stochastic simulation models- Environmental data modeling- Machine learning training under data scarcity conditions