Skip to main content
Dataverse Creation Restriction – Please note: institutional or project level dataverses have to be created with confirming permissions. See details in guide.
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 135 Results
Jul 16, 2024 - Metabolic Networks
Jadebeck, Johann Fredrik; Wiechert, Wolfgang; Nöh, Katharina, 2024, "Supplement to Trans-dimensional Diffusive Nested Sampling for Metabolic Network Inference", https://doi.org/10.26165/JUELICH-DATA/CXQROH, Jülich DATA, V1
Link to models, code and samples from diffusive nested sampling for the conference proceedings for the MaxEnt2024 conference.
Markdown Text - 550 B - SHA-256: 7888a67f5981e4a01fb98a8a8328c482ddf9783fc84687830cca6fab45eb3282
brief description and link to github repo
Mar 22, 2024 - Metabolic Networks
Theorell, Axel; Jadebeck, Johann F.; Wiechert, Wolfgang; McFadden, Johnjoe; Nöh, Katharina, 2024, "Simulation Data for: Theorell-et-al.-Metabolic_Engineering-2024", https://doi.org/10.26165/JUELICH-DATA/BJK8GJ, Jülich DATA, V1
MCMC samples generated and analyzed in Theorell-et-al.-Metabolic_Engineering-2024
MATLAB Data - 299.4 MB - SHA-256: baa73456bf286b167c67017f1d6176f229586be218fa4c0dbbb349fdcb4a99ff
Feb 11, 2021
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.

+ =