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

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1 to 10 of 30 Results

UAV-derived time-series canopy traits, crop surface models, orthomosaics, and geospatial vector data for assessing repeatability and heritability in a cassava breeding population in Nigeria Aug 17, 2026 Quiros, Juan, 2026, "UAV-derived time-series canopy traits, crop surface models, orthomosaics, and geospatial vector data for assessing repeatability and heritability in a cassava breeding population in Nigeria", https://doi.org/10.26165/JUELICH-DATA/UUBQJY, Jülich DATA, V1 This dataset contains UAV-derived raster and vector data from cassava field trials conducted at the International Institute of Tropical Agriculture (IITA), Nigeria, during two consecutive growing seasons: 2018-2019 in Ibadan and 2019-2020 in Ikenne. The raster data include multi-...
Understanding Spatio-temporal Dynamics of Red and Far-red Solar-induced Chlorophyll Fluorescence Measured at Ground Level Aug 17, 2026 Huaiyue Peng; Maria Pilar Cendrero-Mateo; Juliane Bendig; Bastian Siegmann; Kelvin Acebron; Caspar Kneer; Kari Kataja; Lars Grygosch; Onno Muller; Uwe Rascher, 2026, "Understanding Spatio-temporal Dynamics of Red and Far-red Solar-induced Chlorophyll Fluorescence Measured at Ground Level", https://doi.org/10.26165/JUELICH-DATA/33ZNBX, Jülich DATA, V1 Solar-induced chlorophyll fluorescence (SIF) is used as a proxy of photosynthetic efficiency. However, interpreting top-of-canopy (TOC) SIF in relation to photosynthesis remains challenging due to canopy structure and Non-photochemical quenching. Therefore, ground-based, high-spa...
Simultaneous AirFloX and SIFcam UAV acquisitions for assessing solar-induced chlorophyll fluorescence (SIF) in crop varieties Aug 17, 2026 Sofía Choza Farías; Juliane Bendig; Kevin Warstat; Julie Krämer; Onno Muller; Uwe Rascher, 2026, "Simultaneous AirFloX and SIFcam UAV acquisitions for assessing solar-induced chlorophyll fluorescence (SIF) in crop varieties", https://doi.org/10.26165/JUELICH-DATA/TCRO1L, Jülich DATA, V1 This data package was collected within the PhenoRob Central Experiment from June to September 2024. The investigation aimed to evaluate the performance of two UAV-based systems for measuring solar-induced chlorophyll fluorescence (SIF) across different crop species, varieties, an...
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

UAV-derived time-series canopy traits, crop surface models, orthomosaics, and geospatial vector data for assessing repeatability and heritability in a cassava breeding population in Nigeria

Aug 17, 2026

Quiros, Juan, 2026, "UAV-derived time-series canopy traits, crop surface models, orthomosaics, and geospatial vector data for assessing repeatability and heritability in a cassava breeding population in Nigeria", https://doi.org/10.26165/JUELICH-DATA/UUBQJY, Jülich DATA, V1

This dataset contains UAV-derived raster and vector data from cassava field trials conducted at the International Institute of Tropical Agriculture (IITA), Nigeria, during two consecutive growing seasons: 2018-2019 in Ibadan and 2019-2020 in Ikenne. The raster data include multi-...

Understanding Spatio-temporal Dynamics of Red and Far-red Solar-induced Chlorophyll Fluorescence Measured at Ground Level

Aug 17, 2026

Huaiyue Peng; Maria Pilar Cendrero-Mateo; Juliane Bendig; Bastian Siegmann; Kelvin Acebron; Caspar Kneer; Kari Kataja; Lars Grygosch; Onno Muller; Uwe Rascher, 2026, "Understanding Spatio-temporal Dynamics of Red and Far-red Solar-induced Chlorophyll Fluorescence Measured at Ground Level", https://doi.org/10.26165/JUELICH-DATA/33ZNBX, Jülich DATA, V1

Solar-induced chlorophyll fluorescence (SIF) is used as a proxy of photosynthetic efficiency. However, interpreting top-of-canopy (TOC) SIF in relation to photosynthesis remains challenging due to canopy structure and Non-photochemical quenching. Therefore, ground-based, high-spa...

Simultaneous AirFloX and SIFcam UAV acquisitions for assessing solar-induced chlorophyll fluorescence (SIF) in crop varieties

Aug 17, 2026

Sofía Choza Farías; Juliane Bendig; Kevin Warstat; Julie Krämer; Onno Muller; Uwe Rascher, 2026, "Simultaneous AirFloX and SIFcam UAV acquisitions for assessing solar-induced chlorophyll fluorescence (SIF) in crop varieties", https://doi.org/10.26165/JUELICH-DATA/TCRO1L, Jülich DATA, V1

This data package was collected within the PhenoRob Central Experiment from June to September 2024. The investigation aimed to evaluate the performance of two UAV-based systems for measuring solar-induced chlorophyll fluorescence (SIF) across different crop species, varieties, an...

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

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