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Jülich DATA (Forschungszentrum Jülich GmbH)
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Jülich DATA is the central institutional repository for research data of Forschungszentrum Jülich.

It serves as a platform for all research data generated at Forschungszentrum Jülich or created in this context. Please feel welcome to index your research data here.

This service is managed by the Central Library. Please see our guide about how to use this service or feel free to reach out via email to forschungsdaten@fz-juelich.de.

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19,291 to 19,300 of 20,396 Results
Hierarchical Data Format - 148.7 KB - SHA-256: 4bfa10d1e3329a87d7dae04c250deb53c9efbc0eb1f63c1222687e0a4b2dd1a1
Hierarchical Data Format - 148.7 KB - SHA-256: 37cff3bb3e5522925fb884421781d71f36145ec1eab4edf4a69ecbd1bbe41cd3
Hierarchical Data Format - 169.9 KB - SHA-256: 94e31294882dc3f0fc06da7e5c646c07e19473b5bd074dc214ff76e08c548524
Hierarchical Data Format - 169.9 KB - SHA-256: da5820439fc3ff682bc7cadd0b69285e33c3f68af0a44dd55259d885df64a620
Hierarchical Data Format - 169.9 KB - SHA-256: 4eba1acc631480113308d3699d0231f202f91710d4cd420db7e324fa633101c6
Hierarchical Data Format - 169.9 KB - SHA-256: bdaa0940051b25c342b38c6bbdf1f4bcee046afa6f595be98a74182c2e79b675
Hierarchical Data Format - 717.7 KB - SHA-256: 927b4fe1632e5bc96299e9f7924cb84e26216f12d4d395af3871f47035dc8168
Feb 18, 2021 - CLaMS Dataverse
Grooß, Jens-Uwe, 2021, "Replication Data Set for the study on 2020 ozone depletion", https://doi.org/10.26165/JUELICH-DATA/KET287, Jülich DATA, V1
This data repository provides access to the model data of the study by Grooß and Müller submitted to JGR (2020). In this study, the unprecedented Arctic stratospheric ozone loss in the winter 2019/2020 is examined using simulations of the Chemical Lagrangian Model of the Stratosp...
Feb 11, 2021 - Institute of Bio- and Geosciences – Biotechnology (IBG-1)
Oldiges, Marco, 2021, "Microscopy raw data images from Aspergillus carbonarius cultivation", https://doi.org/10.26165/JUELICH-DATA/1UJNU8, Jülich DATA, V1
Microscopy raw data images from Aspergillus carbonarius cultivation. The material is offered as a zip archive. This archive has been splitted into 6 small zip containers, due to upload limit. The data in the smaller zip containers can be directly accessed or the full archive coul...
Unknown - 1.9 GB - SHA-256: 00203a7b0b4e915fda797b4a815a652ea3eb349736babd0f213e89b593d7065c
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