Dataset for: An Ensemble Learning and Surrogate-Based Framework for Predicting Biosorption Performance of Modified Coconut Biomass

Raw experimental dataset (192 observations) on the removal of methylene blue (MB) from aqueous solution by three acrylic acid-modified coconut shell (CSh) biosorbents: AcA@CSh (esterification), PAcAgrafted@CSh (chemical grafting), and PAcAPECVD@CSh (plasma-enhanced chemical vapor deposition coating). Variables: adsorbent type, solution pH, adsorbent dose (g/L), initial MB concentration (mg/L), temperature (°C), contact time (min), equilibrium adsorption capacity qe (mg/g), and removal efficiency R (%). Data were obtained from single-factor experiments (effects of pH, dose, initial concentration, contact time, and temperature). The data were originally reported in: Kocaman, S. Int. J. Phytoremediation 2020, 22 (5), 551–566. This dataset accompanies the manuscript "An Ensemble Learning and Surrogate-Based Framework for Predicting Biosorption Performance of Modified Coconut Biomass" (under review). The preprocessing steps used to obtain the 174 observations analyzed in the manuscript are described in the manuscript.