Items where Subject is "Life Sciences > Applied Life Sciences, Biotechnology and Molecular and Biosystems engineering: Applied plant and animal sciences; forestry; food sciences; applied biotechnology; environmental, and marine biotechnology; applied bioengineering; biomass, biofuels; biohazard > Applied plant sciences (including crop production, plant breeding, agroecology, forestry, soil biology)"

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Mary, Benjamin (2019) Dataset for the publication "Assessing the extent of citrus trees root apparatus under deficit irrigation via multi-method geo-electrical imaging". [Data Collection]

Mary, Benjamin (2020) Open data access to reproduce figures from the Soil Manuscript (soil-2019-28). [Data Collection]

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Petit, Giai (2020) Pandey S, Cherubini P, Saurer M, Carrer M & Petit G (2020) Dataset of paper: Effects of climate change on treeline trees in Sagarmatha (Mt. Everest, Central Himalaya). [Data Collection]

Petit, Giai and Bleve, Gianluca and Gallo, Antonia and Mita, Giovanni and Montanaro, Giuseppe and Nuzzo, Vitale and Zambonini, Dario and Pitacco, Andrea (2021) Dataset of article "Susceptibility to Xylella fastidiosa and functional xylem anatomy in Olea europaea: revisiting a tale of plant-pathogen interaction". [Data Collection]

Petit, Giai and Zambonini, Dario and Hesse, Benjamin D. and Häberle, Karl-Heinz (2022) Dataset of "No xylem phenotypic plasticity in mature Picea abies and Fagus sylvatica trees after five years of throughfall precipitation exclusion". [Data Collection]

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Rassati, Davide (2023) Data for Mas et al. "Investigating beetle communities in and around entry points can improve surveillance at national and international scale". [Data Collection]

Rassati, Davide (2021) Data referring to the paper "Ambrosia beetle response to ethanol concentration and host tree species" by Cavaletto et al. [Data Collection]

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Serva, Lorenzo and Andrighetto, Igino and Segato, Severino and Marchesini, Giorgio and Chinello, Maria and Magrin, Luisa (2023) Data collection on maize silage quality undergone different pre-ensiling conditions. [Data Collection]