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Model weights for PeakLiNN and ChemLiNN models and hyperspectral images for validation

Year: 2025

Type: dataset

Abstract: This repository includes weights for the PeakLiNN and ChemLiNN models and three hyperspectral images for validation from the paper "A Universal Approach to Mie Scatter Correction in FTIR Analysis of Microsized Samples". Python codes to run and train the PeakLiNN and ChemLiNN models can be found on https://github.com/BioSpecNorway/peaklinn. Please, contact [email protected] for any other questions.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15462719

Authors: Blazhko, Uladzislau, Magnussen, Eirik Almklov, Solheim, Johanne, Dzurendova, Simona, Shapaval, Volha, Kohler, Achim

Institution: Norwegian University of Life Sciences

Language: English

Topic: Spectroscopy and Chemometric Analyses

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7117249751

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