MRI, unilateral NMR, macro-vision histology, texture and biochemical dataset for studying the tomato during air drying

This dataset describes the drying process of two tomato cultivars, H1311 and Terradou, with a particular focus on the tomato pericarp. The dataset originates from two interlinked experiments. The first experiment involved continuously imaging tomato slices using an MRI scanner while they were drying. The second experiment involved analysing fresh and dried tomato slices at three different stages using MRI, unilateral NMR, macro-vision histology, tissue texture analysis and biochemical analysis. The dataset includes original and processed MRI images acquired using a 1.5 T whole-body MRI scanner, original and processed NMR signals acquired using a unilateral NMR device, macro-vision images acquired using a high-resolution C-mount digital camera and texture and biochemical analyses. These data contribute to a better understanding of the changes in the morphology, tissue microstructure and biochemical composition of the fruit during drying, and of the relationship between these phenomena and the quality of the dried product. The dataset is shared to enable extended analyses by the multidisciplinary scientific community and manufacturers interested in fruit drying.

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Publication Details

Journal
Data in Brief
Published
2026-03-16
DOI
https://doi.org/10.1016/j.dib.2026.112653
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
0.00
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article

MRI, unilateral NMR, macro-vision histology, texture and biochemical dataset for studying the tomato during air drying

Yves Diascorn, A. Traoré, Clémentine Lorho, Gauvain Pierre et al.
Data in Brief
Food Drying and Modeling
article

MRI, unilateral NMR, macro-vision histology, texture and biochemical dataset for studying the tomato during air drying

Yves Diascorn, A. Traoré, Clémentine Lorho, Gauvain Pierre, Nathan Rausch de Traubenberg, Carine Le Bourvellec, Marc LAHAYE, Sylvain CHALLOIS, Stéphane QUELLEC, Alexandre LECA, Maja MUSSE, GARCIA Caroline, Sylvie CLERJON, Guylaine COLLEWET, Nadia BERTIN, Valérie SERRA
article en

Abstract

This dataset describes the drying process of two tomato cultivars, H1311 and Terradou, with a particular focus on the tomato pericarp. The dataset originates from two interlinked experiments. The first experiment involved continuously imaging tomato slices using an MRI scanner while they were drying. The second experiment involved analysing fresh and dried tomato slices at three different stages using MRI, unilateral NMR, macro-vision histology, tissue texture analysis and biochemical analysis. The dataset includes original and processed MRI images acquired using a 1.5 T whole-body MRI scanner, original and processed NMR signals acquired using a unilateral NMR device, macro-vision images acquired using a high-resolution C-mount digital camera and texture and biochemical analyses. These data contribute to a better understanding of the changes in the morphology, tissue microstructure and biochemical composition of the fruit during drying, and of the relationship between these phenomena and the quality of the dried product. The dataset is shared to enable extended analyses by the multidisciplinary scientific community and manufacturers interested in fruit drying.

Data in BriefVol. 66
Université d'Avignon et des Pays de Vaucluse (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Biopolymères Interactions Assemblages (FR), Services déconcentrés d'appui à la recherche Provence-Alpes-Côte d'Azur (FR), Unité Mixte de Recherche sur les Herbivores (FR)
Openalex Percentile: Top 20%
Food Drying and Modeling
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