52. PubMed Abstract | Publisher Full Text Cotrozzi L, Couture JJ, Cavender-Bares J, et al.: Using foliar spectral properties References Figure 9. Example of data cleaning using the algorithm. Green is kept data and red is discarded data. Data availability The datasets and codes to analyze the data have been deposited on Zenodo (https://doi.org/10.5281/zenodo.17158115, D'Agostino (2025)). Data are available under the terms of the Creative Commons Zero v1.0 Universal An additional explicative video for the psychrometer instal- lation on leaves is available on Zenodo (https://doi.org/10.5281/zenodo.17510720, Degand et al. (2025)). The author(s) declare that this video is released under the Cre
Open resource ↗Zenodo · 10.5281/zenodo.17158115 · pdf-raw-page:11 lines:1-61Unverified paper record
Protocols for in situ continuous monitoring of water relations/potential in soil and leaf
Open Research Europe · 27 Nov 2025 · 10.12688/openreseurope.21382.1
Abstract
Within the soil-plant-atmosphere continuum, water movement is driven by the water potential gradients between these three domains. To have a comprehensive understanding of such water relations, an examination of how plants respond to variations in soil water availability is required. The methodologies employed for measuring water potential in leaf (Ψ leaf ) and soil (Ψ soil ) have undergone a significant evolution; transitioning from qualitative assessments to the use of high-precision digital sensors over the past few decades. The present protocol aims to provide a comprehensive, step-by-step guide from the germination phase of maize and tomato plants to the installation of two sensors that continuously monitor water potential in the leaf (PSY1 psychrometer) and in the soil (TEROS 21 matric potential sensor). Additionally, we present the code for processing the raw data files in RStudio.
Plant phenotyping relevance
葉の水ポテンシャルという植物生理形質を連続測定するセンサー設置手順とデータ処理コードを中心に扱うプロトコルであり、植物フェノタイピング手法が研究の中心である。
abstractThe present protocol aims to provide a comprehensive, step-by-step guide from the germination phase of maize and tomato plants to the installation of two sensors that continuously monitor water potential in the leaf (PSY1 psychrometer) and in the soil (TEROS 21 matric potential sensor).
abstractAdditionally, we present the code for processing the raw data files in RStudio.
Code and data availability
The paper deposits its example water-potential datasets (soil matric potential from Teros 21, leaf water potential from PSY1, transpiration from scales) and the authors' data extraction/cleaning/analysis code on Zenodo (10.5281/zenodo.17158115), under CC0/CC-BY. A supplementary installation video is separately on Zenod
at were missing, zero, or otherwise aberrant. It was also programmed to iden- tify and remove inverted day-night cycle patterns, as well as values that were statistically insignificant. Figure 9 shows appli- cations of data cleaning on the example dataset. For more details, please check codes that have been deposited on Zenodo (https://doi.org/10.5281/zenodo.17158115, D'Agostino, 2025). Ethics and consent Ethical approval and consent were not required Figure 8. Example of the charging effects on the data recordings. Page 10 of 18 Open Research Europe 2025, 5:363 Last updated: 19 JUN 2026
Open resource ↗Zenodo · 10.5281/zenodo.17158115 · pdf-raw-page:10 lines:1-58availability The datasets and codes to analyze the data have been deposited on Zenodo (https://doi.org/10.5281/zenodo.17158115, D'Agostino (2025)). Data are available under the terms of the Creative Commons Zero v1.0 Universal An additional explicative video for the psychrometer instal- lation on leaves is available on Zenodo (https://doi.org/10.5281/zenodo.17510720, Degand et al. (2025)). The author(s) declare that this video is released under the Creative Commons CC0 1.0 Universal Public Domain Dedica- tion. This means the video is free of all copyright restrictions and may be copied, modified, distributed, and used without permission, including for commercial purposes. Data are availabl
Open resource ↗Zenodo · 10.5281/zenodo.17510720 · pdf-raw-page:11 lines:1-61This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.