{"id":"nz2fr76trm","version":3,"name":"Fourier Transform Near Infrared (FT-NIR) spectra and sensory scores in green and roasted specialty coffee for machine learning-based quality monitoring","description":"This dataset provides raw and pre-processed Fourier Transform Near Infrared (FT-NIR) spectra for green and roasted specialty coffee samples, along with their sensory quality scores. Pre-processing techniques include baseline correction, area normalization, Multiplicative Scatter Correction (MSC), and first and second derivatives. Additionally, the dataset includes computational tools (programmed in R statistical software) for spectral pre-processing and calibration of machine learning models designed to predict sensory quality. These R-codes enable the development of predictive tools for non-destructive, real-time quality assessment, facilitating sensory analysis and supporting quality monitoring processes in the specialty coffee industry.","doi":"10.17632/nz2fr76trm.3","publish_date":"2025-04-02T09:57:37.155Z","last_modification_date":"2025-03-31T09:12:44.836Z","is_confidential":false,"customer":{"id":"7377952c-6404-4428-bbfc-77242cfc301e","name":"Mendeley Guests"},"owner":{"id":"b3d6746f-e487-4484-b1ff-52558015b762","first_name":"Gentil Andres","last_name":"Collazos-Escobar","display_name":"Gentil Andres Collazos-Escobar","$ref":"/profiles/b3d6746f-e487-4484-b1ff-52558015b762"},"categories":[{"id":"data.elsevier.com/vocabulary/OmniScience/Concept-189352157","label":"Food Science"},{"id":"data.elsevier.com/vocabulary/OmniScience/Concept-192559095","label":"Food Engineering"},{"id":"data.elsevier.com/vocabulary/OmniScience/Concept-257938841","label":"Food Technology"}],"licence":{"id":"01d9c749-3c4d-4431-9df3-620b2dcfe144","short_name":"CC BY 4.0","full_name":"Creative Commons Attribution 4.0 International","description":"You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.","url":"http://creativecommons.org/licenses/by/4.0","category":"Creative","customer_id":null},"institutions":[{"id":"06166375-ff06-545c-8cc9-4f2c3fbd1d9d","name":"Universidad Surcolombiana"},{"id":"a3b1d33c-b2f1-5fc8-9d6a-203e7ca08ace","name":"Universitat Politecnica de Valencia"}],"funders":[],"organisational_unit_names":[],"contributors":[{"id":"b3d6746f-e487-4484-b1ff-52558015b762","first_name":"Gentil Andres","last_name":"Collazos-Escobar","$ref":"/profiles/b3d6746f-e487-4484-b1ff-52558015b762"},{"first_name":"Ever M.","last_name":"Morales-Angulo","institution":"Universidad Surcolombiana"},{"id":"2d54dfc8-96d7-4771-b691-ea48ffb2a9db","first_name":"Andrés Felipe","last_name":"Bahamón Monje","orcid_id":"0000-0002-2620-148X","$ref":"/profiles/2d54dfc8-96d7-4771-b691-ea48ffb2a9db","institution":"Universidad Surcolombiana"},{"id":"9d987a13-c7ab-3552-b1ed-1d60b48ba280","first_name":"Nelson","last_name":"Gutierrez Guzman","orcid_id":"0000-0003-2499-8066","$ref":"/profiles/9d987a13-c7ab-3552-b1ed-1d60b48ba280","institution":"Universidad Surcolombiana"}],"related_links":[],"custom_metadata":{},"is_metadata_only":false}