Hyperspectral and Fluorescence Imaging Dataset of Solanum lycopersicum L. (cv. Moneymaker) Canopies Under drought

Dataset context

This dataset contains the raw data from García-Martínez et al. (2025), published in Scientific Reports (DOI: 10.1038/s41598-025-01940-0), where the experimental design and full results are described in detail. The study investigated how plants modulate energy dissipation mechanisms under combined light and drought stress using canopy-scale imaging spectroscopy.

Experimental design and measurements

The experiment focused on studying forty tomato plants, with 20 assigned to a control group (Tray_01 and Tray_02) and 20 subjected to a water deficit treatment (Tray_03 and Tray_04) across 15 days.  Plants were grown in controlled growth chamber and sequentially exposed to increasing light levels (PAR 300, 500, 700, 1100, 1300, 1500 µmol m⁻² s⁻¹). The drought treatment lasted from day 0 to day 7, followed by a recovery period from day 8 to day 15. At each light acclimation stage, top-of-canopy measurements were obtained.  At dark and at each light acclimation stage,  measurements were automatically acquired after 20 minutes of adaptation across the entire transect using hyperspectral VNIR and PAM fluorescence imaging. This dataset includes measurements for:

• Hyperspectral reflectance spectra.

• Fluorescence parameters (Fluorescence minima, Fo and Fo’;  Fluorescence maxima, Fm and Fm’;  Fluorescence variable, Fv; Quantum Yield,QY).

Each file is organized with individual measurements as rows and variables as columns. The columns include: Measuring Date (date of acquisition), Measuring Time (hour of acquisition), Round Order (sequential number identifying each measurement by instrument and light condition per day), Tray ID (tray number), Plant ID and Position (location of the measured pot within the tray), and Size (number of pixels within the plant mask).

Data processing

Further details on the data processing workflow, including the analysis code, are available from the corresponding author upon request (contact: clara.garcia-martinez@uv.es).