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Mendeley Ltd
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Bruker Corporation
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Labsphere Inc
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Bruker Corporation
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Metadynea Austria GmbH
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Revvity
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Bruker Corporation
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Bruker Corporation
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Bruker Corporation
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Journal: Data in Brief
Article Title: Large dataset on Fourier transform near infrared (FT-NIR) spectroscopy of green and roasted specialty coffee: Preprocessed infrared spectra and sensory scores for machine learning-based quality monitoring
doi: 10.1016/j.dib.2025.111609
Figure Lengend Snippet: Preprocessing of Fourier Transform Near-Infrared (FT-NIR) spectra for specialty green coffee. The raw FT-NIR spectra (A), baseline correction (B), Standard Normal Variate (SNV; C), Multiplicative Scatter Correction (MSC; D), first derivative (1 st D v ; E) and second derivative (2 nd D v ; F) of FT-NIR preprocessed spectra. The FT-NIR spectra are color-coded according to their sensory quality scores, with the corresponding color gradient indicated by a color bar.
Article Snippet:
Techniques:
Journal: Data in Brief
Article Title: Large dataset on Fourier transform near infrared (FT-NIR) spectroscopy of green and roasted specialty coffee: Preprocessed infrared spectra and sensory scores for machine learning-based quality monitoring
doi: 10.1016/j.dib.2025.111609
Figure Lengend Snippet: Preprocessing of Fourier Transform Near-Infrared (FT-NIR) spectra for specialty roasted coffee. The raw FT-NIR spectra (A), baseline correction (B), Standard Normal Variate (SNV; C), Multiplicative Scatter Correction (MSC; D), first derivative (1 st D v ; E) and second derivative (2 nd D v ; F) of FT-NIR preprocessed spectra. The FT-NIR spectra are color-coded according to their sensory quality scores, with the corresponding color gradient indicated by a color bar.
Article Snippet:
Techniques:
Journal: Data in Brief
Article Title: Large dataset on Fourier transform near infrared (FT-NIR) spectroscopy of green and roasted specialty coffee: Preprocessed infrared spectra and sensory scores for machine learning-based quality monitoring
doi: 10.1016/j.dib.2025.111609
Figure Lengend Snippet: Preprocessing of Fourier Transform Near-Infrared (FT-NIR) spectra for specialty green and roasted coffee. The raw FT-NIR spectra was preprocessed by applying the first derivative (1 st D v ; A) and second derivative (2 nd D v ; B) for green coffee beans, and first derivative (1 st D v ; C) and second derivative (2 nd D v ; D) for roasted coffee beans.
Article Snippet:
Techniques:
Journal: Data in Brief
Article Title: Large dataset on Fourier transform near infrared (FT-NIR) spectroscopy of green and roasted specialty coffee: Preprocessed infrared spectra and sensory scores for machine learning-based quality monitoring
doi: 10.1016/j.dib.2025.111609
Figure Lengend Snippet: Flowchart illustrating the experimental procedure for acquiring the dataset of Fourier Transform Near-Infrared (FT-NIR) spectra and sensory quality scores in green and roasted specialty coffee samples.
Article Snippet:
Techniques: