Multimodal Spectroscopic Dataset
Multimodal Spectroscopic Dataset is a research-grade multimodal characterization dataset focused on paired spectroscopy and molecular/materials labels for multimodal learning, spectral interpretation, and characterization model development. It is useful for graduate-level materials research, reproducible benchmarking, model training, validation, and comparison across computational, experimental, or characterization workflows.
Citation: Multimodal Spectroscopic Dataset. Materials dataset resource. https://github.com/search?q=%22Multimodal%20Spectroscopic%20Dataset%22&type=repositories
Acknowledgement: Curated by MaterialsAtlas Open Resources from public data portals, official project pages, benchmark suites, repositories, and publication-linked archives.