Institute of Bio- and Geosciences – Plant Sciences (IBG-2)

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1 to 10 of 27 Results

Dataset of GrowScreen-Rhizo 3 shoot image analysis including trained U-Net CNN Aug 14, 2026 Constantin Eiteneuer; Laura Verena Junker-Frohn; Henning Lenz; Mark Müller-Linow; Kerstin A. Nagel, 2026, "Dataset of GrowScreen-Rhizo 3 shoot image analysis including trained U-Net CNN", https://doi.org/10.26165/JUELICH-DATA/SOJ6SQ, Jülich DATA, V1 The publication contains 1800 RGB images generated using the high throughput plant phenotyping platform GrowScreen-Rhizo 3. Shoots of barley, maize, and sunflower plants differing in plant developmental stages, with a maximum age of 3-4 weeks, were imaged by 6 cameras from 3 diff...
SIFMap: A Python toolbox for creating Solar-induced fluorescence maps from UAV-borne snapshot imaging data - test dataset Jul 27, 2026 Buffat, Jim; Bendig, Juliane; Elibol, Armagan; Scharr, Hanno; Choza Farias, Sofia; Salattna, Saja, 2026, "SIFMap: A Python toolbox for creating Solar-induced fluorescence maps from UAV-borne snapshot imaging data - test dataset", https://doi.org/10.26165/JUELICH-DATA/2KDXUL, Jülich DATA, V1 This dataset consists of SIFcam raw data, radiance, reflectance and solar-induced chlorophyll fluorescence (SIF) acquired at Campus Klein-Altendorf in 2021 and 2024. This work was partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germ...
Systematic Literature Review for Field Phenotyping Data Jul 13, 2026 Grygosch, Lars; Kleppert, Ireneusz, 2025, "Systematic Literature Review for Field Phenotyping Data", https://doi.org/10.26165/JUELICH-DATA/OYQLN3, Jülich DATA, V3 We conducted a Systematic Literature Review (SLR) investigating the trajectory of field phenotyping research, moving beyond a catalog of technological advances to critically evaluate data availability and management practices. Our analysis is guided by the following research ques...
Root and shoot dataset of 23 parental lines of a DRR barley population and Barke as reference phenotyped using the high throughput phenotyping platform GrowScreen-Rhizo 3 Apr 28, 2026 Kerstin A. Nagel; Laura V. Junker-Frohn; Shivan Jia; Fabio Fiorani, 2026, "Root and shoot dataset of 23 parental lines of a DRR barley population and Barke as reference phenotyped using the high throughput phenotyping platform GrowScreen-Rhizo 3", https://doi.org/10.26165/JUELICH-DATA/BPSWGG, Jülich DATA, V1 The dataset contains phenotypic data of 24 barley (Hordeum vulgare L.) genotypes, 23 parents of a nested association mapping population plus Barke as reference genotype. The plants were phenotyped over the course of three weeks under greenhouse conditions using the automated high...
Sun-induced fluorescence in responses to structural and physiological effects caused by the Cercospora leaf spot in sugar beet Mar 24, 2026 Konche, Deepthi; Romero, Juan Manuel; Ispizua Yamati, Facundo Ramón; Boemer, Jonas; Askin, Ilgaz; Jedmowski, Christoph; Mahlein, Anne-Katrin; Rascher, Uwe; Muller, Onno, 2026, "Sun-induced fluorescence in responses to structural and physiological effects caused by the Cercospora leaf spot in sugar beet", https://doi.org/10.26165/JUELICH-DATA/FOQOFI, Jülich DATA, V1 This dataset includes measurements in sugar beet crop collected during field experiments investogating the effects of Cercospors leaf spot infection. The dataset integrated measurements from both active and passive chlorophyll fluorescence techniques. Active fluorescence paramete...
Code for paper: Validation of root hair upscaling in rhizosphere solute transport models Feb 18, 2026 - rootmodels Kuppe, Christian, 2026, "Code for paper: Validation of root hair upscaling in rhizosphere solute transport models", https://doi.org/10.26165/JUELICH-DATA/I589IG, Jülich DATA, V1 Code (Julia/gridap.jl) and meshes (gmsh) for FEM simulations of nutrient uptake by root hairs in the rhizospehre.
rootmodels(FZJ) Feb 9, 2026
Airborne solar-induced chlorophyll fluorescence (SIF) and plant available water datasets across multiple crops and years Jan 13, 2026 Juan Quiros, 2026, "Airborne solar-induced chlorophyll fluorescence (SIF) and plant available water datasets across multiple crops and years", https://doi.org/10.26165/JUELICH-DATA/WD5YUJ, Jülich DATA, V1 This dataset was compiled to support the analysis of spatial and interannual relationships between solar-induced chlorophyll fluorescence (SIF) and soil water availability in agricultural systems under contrasting crop, phenological, and water-management conditions. It comprises...
Fluorescence Quantum Efficiency and accompanying SSWS and SSWSa Data for Germany 2018-05-2024-10. Nov 24, 2025 Herrera, David; Siegmann, Bastian; Rascher, Uwe; Belleflamme, Alexandre; Görgen, Klaus, 2025, "Fluorescence Quantum Efficiency and accompanying SSWS and SSWSa Data for Germany 2018-05-2024-10.", https://doi.org/10.26165/JUELICH-DATA/RZ0NDZ, Jülich DATA, V2 This dataset consists of daily data at 0.05° resolution of Germany from 2018-05 to 2024-10. The variables included are the Fluorescence Quantum Efficiency at leaf level (ΦF) (740 nm) as well as all variables included in the calculation of it. The comparison dataset of Subsurface...
Fluorescence Quantum Efficiency Data for Europe 2018-2025 Nov 24, 2025 David Herrera; Siegmann, Bastian; Rascher, Uwe; Malenovský, Zbyněk, 2025, "Fluorescence Quantum Efficiency Data for Europe 2018-2025", https://doi.org/10.26165/JUELICH-DATA/EFFTES, Jülich DATA, V2 This dataset consists of daily satellite observations at 0.05° resolution of Europe from 2018-05 to 2025-08. The variables included are the Fluorescence Quantum Efficiency at leaf level (ΦF) (740 nm) as well as all variables included in the calculation. Multiple support bands are...

Dataset of GrowScreen-Rhizo 3 shoot image analysis including trained U-Net CNN

Aug 14, 2026

Constantin Eiteneuer; Laura Verena Junker-Frohn; Henning Lenz; Mark Müller-Linow; Kerstin A. Nagel, 2026, "Dataset of GrowScreen-Rhizo 3 shoot image analysis including trained U-Net CNN", https://doi.org/10.26165/JUELICH-DATA/SOJ6SQ, Jülich DATA, V1

The publication contains 1800 RGB images generated using the high throughput plant phenotyping platform GrowScreen-Rhizo 3. Shoots of barley, maize, and sunflower plants differing in plant developmental stages, with a maximum age of 3-4 weeks, were imaged by 6 cameras from 3 diff...

SIFMap: A Python toolbox for creating Solar-induced fluorescence maps from UAV-borne snapshot imaging data - test dataset

Jul 27, 2026

Buffat, Jim; Bendig, Juliane; Elibol, Armagan; Scharr, Hanno; Choza Farias, Sofia; Salattna, Saja, 2026, "SIFMap: A Python toolbox for creating Solar-induced fluorescence maps from UAV-borne snapshot imaging data - test dataset", https://doi.org/10.26165/JUELICH-DATA/2KDXUL, Jülich DATA, V1

This dataset consists of SIFcam raw data, radiance, reflectance and solar-induced chlorophyll fluorescence (SIF) acquired at Campus Klein-Altendorf in 2021 and 2024. This work was partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germ...

Systematic Literature Review for Field Phenotyping Data

Jul 13, 2026

Grygosch, Lars; Kleppert, Ireneusz, 2025, "Systematic Literature Review for Field Phenotyping Data", https://doi.org/10.26165/JUELICH-DATA/OYQLN3, Jülich DATA, V3

We conducted a Systematic Literature Review (SLR) investigating the trajectory of field phenotyping research, moving beyond a catalog of technological advances to critically evaluate data availability and management practices. Our analysis is guided by the following research ques...

Root and shoot dataset of 23 parental lines of a DRR barley population and Barke as reference phenotyped using the high throughput phenotyping platform GrowScreen-Rhizo 3

Apr 28, 2026

Kerstin A. Nagel; Laura V. Junker-Frohn; Shivan Jia; Fabio Fiorani, 2026, "Root and shoot dataset of 23 parental lines of a DRR barley population and Barke as reference phenotyped using the high throughput phenotyping platform GrowScreen-Rhizo 3", https://doi.org/10.26165/JUELICH-DATA/BPSWGG, Jülich DATA, V1

The dataset contains phenotypic data of 24 barley (Hordeum vulgare L.) genotypes, 23 parents of a nested association mapping population plus Barke as reference genotype. The plants were phenotyped over the course of three weeks under greenhouse conditions using the automated high...

Sun-induced fluorescence in responses to structural and physiological effects caused by the Cercospora leaf spot in sugar beet

Mar 24, 2026

Konche, Deepthi; Romero, Juan Manuel; Ispizua Yamati, Facundo Ramón; Boemer, Jonas; Askin, Ilgaz; Jedmowski, Christoph; Mahlein, Anne-Katrin; Rascher, Uwe; Muller, Onno, 2026, "Sun-induced fluorescence in responses to structural and physiological effects caused by the Cercospora leaf spot in sugar beet", https://doi.org/10.26165/JUELICH-DATA/FOQOFI, Jülich DATA, V1

This dataset includes measurements in sugar beet crop collected during field experiments investogating the effects of Cercospors leaf spot infection. The dataset integrated measurements from both active and passive chlorophyll fluorescence techniques. Active fluorescence paramete...

Code for paper: Validation of root hair upscaling in rhizosphere solute transport models

Feb 18, 2026 - rootmodels

Kuppe, Christian, 2026, "Code for paper: Validation of root hair upscaling in rhizosphere solute transport models", https://doi.org/10.26165/JUELICH-DATA/I589IG, Jülich DATA, V1

Code (Julia/gridap.jl) and meshes (gmsh) for FEM simulations of nutrient uptake by root hairs in the rhizospehre.

rootmodels(FZJ)

Feb 9, 2026

Airborne solar-induced chlorophyll fluorescence (SIF) and plant available water datasets across multiple crops and years

Jan 13, 2026

Juan Quiros, 2026, "Airborne solar-induced chlorophyll fluorescence (SIF) and plant available water datasets across multiple crops and years", https://doi.org/10.26165/JUELICH-DATA/WD5YUJ, Jülich DATA, V1

This dataset was compiled to support the analysis of spatial and interannual relationships between solar-induced chlorophyll fluorescence (SIF) and soil water availability in agricultural systems under contrasting crop, phenological, and water-management conditions. It comprises...

Fluorescence Quantum Efficiency and accompanying SSWS and SSWSa Data for Germany 2018-05-2024-10.

Nov 24, 2025

Herrera, David; Siegmann, Bastian; Rascher, Uwe; Belleflamme, Alexandre; Görgen, Klaus, 2025, "Fluorescence Quantum Efficiency and accompanying SSWS and SSWSa Data for Germany 2018-05-2024-10.", https://doi.org/10.26165/JUELICH-DATA/RZ0NDZ, Jülich DATA, V2

This dataset consists of daily data at 0.05° resolution of Germany from 2018-05 to 2024-10. The variables included are the Fluorescence Quantum Efficiency at leaf level (ΦF) (740 nm) as well as all variables included in the calculation of it. The comparison dataset of Subsurface...

Fluorescence Quantum Efficiency Data for Europe 2018-2025

Nov 24, 2025

David Herrera; Siegmann, Bastian; Rascher, Uwe; Malenovský, Zbyněk, 2025, "Fluorescence Quantum Efficiency Data for Europe 2018-2025", https://doi.org/10.26165/JUELICH-DATA/EFFTES, Jülich DATA, V2

This dataset consists of daily satellite observations at 0.05° resolution of Europe from 2018-05 to 2025-08. The variables included are the Fluorescence Quantum Efficiency at leaf level (ΦF) (740 nm) as well as all variables included in the calculation. Multiple support bands are...

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