Skip to main content
AI Crawler DoS Attacks | Dataverse Creation Restriction – Please note:
  • We are experiencing a coordinated attack by AI training crawler bots, which slow down the service. We are working on mitigating the problem and apologize for any inconveniences.
  • Institutional or project level dataverses have to be created with confirming permissions. See details in guide.
Institute of Bio- and Geosciences – Plant Sciences (IBG-2) (Forschungszentrum Jülich)
The dataverse of the Institute of Bio- and Geosciences – Plant Sciences (IBG-2)
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find Advanced Search

1 to 10 of 147 Results
Systematic Literature Review for Field Phenotyping Data
Systematic Literature Review for Field Phenotyping Data
Dec 4, 2025
Grygosch, Lars; Kleppert, Ireneusz, 2025, "Systematic Literature Review for Field Phenotyping Data", https://doi.org/10.26165/JUELICH-DATA/OYQLN3, Jülich DATA, V2
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...
abbreviation_mapping.json
JSON - 891 B - SHA-256: ea6444d1898f30f2feda3543eac41d0187c13faf827b8a0a42c810462c21d729
analysis.ipynb
Jupyter Notebook - 1.6 MB - SHA-256: 995137524c11e9b7a5cebd298332e148359b51e0c0fe82ad2e6d6234d229ebd7
datalinks.csv
Comma Separated Values - 12.8 KB - SHA-256: 93a10351b382e95ceef42ae05773f07bf27699422f8cd9a7624651716da58c11
embedding_mapping.json
JSON - 107.0 KB - SHA-256: 39770b51b75506b6ccdad9cf1496152dee0e36a578e5ca982298ba739d613536
fair_results.csv
Comma Separated Values - 15.9 KB - SHA-256: fcf0c688278eb94a3cc367ddcdf82378703014d7aeecf51ef70e11e1f2cec72b
keywordhandler.py
Python Source Code - 25.6 KB - SHA-256: 982823e7f30d3c978c8eefbaa33eed1ca86d1076b19cb35c4b46d8118a1bbac0
literaturedata_cleaned.xlsx
MS Excel Spreadsheet - 456.8 KB - SHA-256: c691069ef6ebbfd567b7f8f052131a3f8329a34ce7723f94abccf148f9eb0d3e
literaturedata.xlsx
MS Excel Spreadsheet - 2.6 MB - SHA-256: b630a0a5475dfbf08dfca1966e676c8e809ddb64b0113b7cf9687b5f733e6df7
mapping_documentation.csv
Comma Separated Values - 2.8 KB - SHA-256: adf3c204e11cd52fadeb932dddf172413083dd5cbe4e2c2581f9762aa42a93d6
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact Jülich DATA Support

Jülich DATA Support

Please fill this out to prove you are not a robot.

+ =