- 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
- Sun-induced fluorescence in responses to structural and physiological effects caused by the Cercospora leaf spot in sugar beet
- Code for paper: Validation of root hair upscaling in rhizosphere solute transport models
- Airborne solar-induced chlorophyll fluorescence (SIF) and plant available water datasets across multiple crops and years
- Systematic Literature Review for Field Phenotyping Data
- Fluorescence Quantum Efficiency and accompanying SSWS and SSWSa Data for Germany 2018-05-2024-10
- Fluorescence Quantum Efficiency Data for Europe 2018-2025
- Supplementary data for "Formation of highly oxygenated organic molecules from α-pinene photooxidation: evidence for the importance of highly oxygenated alkoxy radicals"
- UAV Data Campus Klein-Altendorf 2023
- A combined dataset of leaf and canopy scale solar-induced fluorescence measurements of wheat, bean and maize covering two growing seasons
- Stay Green Dataset 2020
- Active and passive leaf-level photosynthesis and Chl fluorescence measurements of different crops over a growing season
- Seed-to-plant-tracking: automated phenotyping of seeds and corresponding plants of Arabidopsis
- Data for: Modeling cassava root system architecture and the underlying dynamics in shoot–root carbon allocation during the early storage root bulking stage
- Optimizing Cassava Growth with Localized Struvite Application: Root Proliferation and Fertilization Efficiency
- HyData: HyPlant FLUO at-sensor radiance data packages and FLOX measurements for SIF retrieval method development from selected campaigns of the years 2018 - 2023
- Benchmark Dataset for Field Phenotyping
- Multi-scale field phenotyping of wheat-bean intercrops: Integrating spectral and agronomic datasets from a three-year trial
- Experimental data: Field Phenotyping of Ten Wheat Cultivars under Elevated CO2 Shows Seasonal Differences in Chlorophyll Fluorescence, Plant Height and Vegetation Indices
- MRI PET rhizosphere microbiota of the maize root system
- Selected HyPlant, DESIS and OCO-3 acquisitions for the cross-comparison of sun-induced fluorescence products
- HyPlant (IBG-2)
- Institute of Bio- and Geosciences – Plant Sciences (IBG-2) (Forschungszentrum Jülich)
- Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance
- Specim IQ Camera: Dataset for Arabidopsis Case Study
- Direction Project (FZJ)
Research data
Research data are many and diverse. It can be experimental results (measurement data), information from the experimental conditions (e.g. environmental parameters), but also information from material or sample collections. It could be texts and information from surveys, or parameters from software and simulations. Research data are of utmost importance for our work. Here it is important that on the one hand their abundance is manageable, on the other hand that they meet sufficient (quality) standards.
Jülich DATA (Forschungszentrum Jülich GmbH)
Jülich DATA is the institutional research data repository at Forschungszentrum Jülich and serves as a reference system for data output.
Jülich DATA - Institutional repository for research data of Forschungszentrum Jülich
A platform for data publication
Employees of Forschungszentrum Jülich can publish their research data in Jülich DATA. Uploaded data are automatically assigned a DOI, which allows them to be cited. This creates an effective new publication channel that increases the visibility of research and encourages exchange across science.

The e!DAL electronic data archive library is a free (CC BY-ND 4.0) open-source software infrastructure developed by IPK Gatersleben to FAIRly maintain and publish in-house stored research data. This covers in particular cross-domain datasets that are not being published in central repositories because of its volume or unsupported data scope, like comprehensive image collections from plant phenotyping, genotyping data, or (custom made) software and documents. e!DAL supports requirements from funding agencies,journals and several metadata standards, like DublinCore or Schema.org and is accepted by BioSharing.org, re3data.org and OpenAIRE. More information and demonstration videos can be found here: http://edal.ipk-gatersleben.de/media.html

It provides a convenient submission tool with an embedded review process and login via ELIXIR AAI to publish research data as a DOI citable dataset. The Data Submission Tool to JPPC’s instance based on the e!DAL infrastructure is available as a stand-alone application for three different platforms:
- Windows: Link zur EXE-Datei
- Linux: Link zur sh-Datei
- MacOS: Link zur dmg-Datei
Note: Each download provides a ZIP archive containing one platform-specific file that must be unpacked before execution.
A short manual illustrating the Data Submission Tool and the subsequent reviewing process can be found here: http://edal-pgp.ipk-gatersleben.de/document/manual.html
e!DAL provides comprehensive reporting of key performance indicators such access counts, data download volume and client location.
