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
156,982 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

341 to 350 of 374 Results
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
Unknown - 205.4 MB - SHA-256: b20e28bbb6d51d216e4a6169c4e41de52f74517953272237a9d3a33b6478b16b
Feb 10, 2021 - Peter Grünberg Institut – Quantum Nanoscience (PGI-3)
Philipp Hurdax; Michael Hollerer; Larissa Egger; Georg Koller; Xiaosheng Yang; Anja Haags; Serguei Soubatch; F. Stefan Tautz; Mathias Richter; Alexander Gottwald; Peter Puschnig; Martin Sterrer; Michael G. Ramsey, 2021, "Data used in: Controlling the electronic and physical coupling on dielectric thin films", https://doi.org/10.26165/JUELICH-DATA/ZEA4SV, Jülich DATA, V1
We provide here the raw data used to produce the figures in the publication Philipp Hurdax et al., Controlling the electronic and physical coupling on dielectric thin films, Beilstein J. Nanotechnol. 2020, 11, 1492–1503, doi: 10.3762/bjnano.11.132 All metadata necessary to analyz...
Plain Text - 17.2 MB - SHA-256: 3989fa85d34ff9e835c562ebb1fdfcc2fdc1349b83a097b9bd2438e1ec3969f3
Momentum map of para-sexiphenyl on MgO(100)/Ag(100), LUMO
Plain Text - 9.6 MB - SHA-256: 6ac7041f988cc75c3d89b63ae495d4925c4b81d73b538ff2b10892affc5b6348
Momentum map of para-sexiphenyl on MgO(100)/Ag(100), HOMO
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.

+ =