PolyNet_data

This dataset accompanies the study "Deep Learning Aided 13C-NMR Analysis of Post-Consumer Polyolefin Multimaterials" and provides the data resources required to support the reproducibility and evaluation of the proposed deep learning framework. The repository includes: Spectral Data Libraries: Reference spectral libraries used for the characterization and analysis of different polyolefin classes and subclasses, supporting the identification and quantification of polymer components. Preprocessing Scalers: Fitted scaling objects used to ensure consistent normalization and transformation of spectral data during model inference and evaluation. Experimental Test Data: Experimental 13C-NMR spectra used to evaluate the trained model, including polyolefin monomaterials and mixtures representative of the materials investigated in the study. These resources, together with the publicly available source code, support reproducible spectral preprocessing, model evaluation, and quantitative analysis of polyolefin multimaterials.