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.
Jülich DATA (Forschungszentrum Jülich GmbH)
Metrics
163,226 Downloads
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

18,921 to 18,930 of 20,022 Results
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
Unknown - 1.9 GB - SHA-256: 2122039188b4057a08ff79aa9976d4fdd2faa27b4c88b365952ab8cc13a2a407
Unknown - 1.9 GB - SHA-256: d9b18f7713cfce34c5db1ce7e50ae5204bad8a2a7829ec2f0b5693adfdb4f330
Unknown - 1.9 GB - SHA-256: 87cd80a76a53f91a8b8ab1b1f1e0cc167784d9d257d5a32f909c09b427f203b6
Unknown - 1.9 GB - SHA-256: 002f752daaf7dd87d6124418d39fbf827abe7dc80457102b67437ee4fd8812f9
Add Data

Log in to create a dataverse or add a dataset.

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.

+ =