Dataset for: "Optimized Bi‐LSTM Networks for Modeling Ni(II) Biosorption Kinetics on Quercus crassipes Acorn Shells"

This dataset contains experimental biosorption kinetics data of Ni(II) using acorn shell of Quercus crassipes. It was used to develop and validate deep learning models (Bi-LSTM networks) for the article: "Optimized Bi‐LSTM Networks for Modeling Ni(II) Biosorption Kinetics on Quercus crassipes Acorn Shells" Published in Processes, 2025.DOI: https://doi.org/10.3390/pr13041076 This dataset contains experimental and processed data from biosorption studies of Ni(II) using acorn shell from Quercus crassipes as a biosorbent. The experiments were carried out under variable conditions of pH, temperature, initial metal concentration, contact time, and salt presence. The resource includes: 44 experimental biosorption kinetics collected under controlled conditions. 4 control kinetics with zero initial Ni(II) concentration and no observed biosorption. A processed version of the dataset with categorical and numerical encoding (e.g., salt type and cation charge) for use in machine learning applications. This is the first time the complete dataset is made openly available in a structured, reusable format. The data were partially published in previous works through graphical representation and mechanistic modeling: Aranda-García, E.; Cristiani-Urbina, E. Water, Air, & Soil Pollution, 2018, 229, 119. https://doi.org/10.1007/s11270-018-3738-2 Aranda-García, E.; Chávez-Camarillo, G.M.; Cristiani-Urbina, E. Processes, 2020, 8, 1229. https://doi.org/10.3390/pr8101229 The full dataset was later used to develop a multivariate Bi-LSTM model to predict Ni(II) biosorption under diverse conditions, as described in a manuscript currently under review. All data are provided in .csv format along with documentation files (README.txt) describing variable definitions, units, ranges, and encoding logic. License: CC BY 4.0Contact: Alma Rosa Netzahuatl Muñoz – [e-mail]