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
194,934 Downloads
Contact Share

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.

We are registred within re3data.org:

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 24,408 Results
Code and Data for Uncertainty estimation of ceilometer aerosol properties
May 4, 2026 - Institute of Climate and Energy Systems – Troposphere (ICE-3)
Müller, Marcus G.; Bohn, Birger; Löhnert, Ulrich, 2026, "Code and Data for Uncertainty estimation of ceilometer aerosol properties", https://doi.org/10.26165/JUELICH-DATA/EMCX36, Jülich DATA, V2
Code and data reference for publication "Uncertainty estimation of aerosol properties from a Vaisala CT25k ceilometer based on in situ aerosol measurements"
0_createAnalysisDF.py
Python Source Code - 9.5 KB - SHA-256: 7b9104b1e05d967a0a5f6760828f3e40dd806f2ce0be0fc3bb7fef3de7684c59
1_mieCalculations.ipynb
Jupyter Notebook - 24.6 KB - SHA-256: 4cb3f96c22bb2388c12f38691e200ec95ecd8ae67ed1bcfcfe6e32f78d7fca15
fig03.ipynb
Jupyter Notebook - 243.7 KB - SHA-256: b22d57f6fe18b35dc4345e18e2e4f09480fb52f6657f53afda4495933fcca278
fig04.ipynb
Jupyter Notebook - 305.9 KB - SHA-256: ee304ac7fc6b4e442ea6a49bbba6281e89d1ff235ec286d129314270f2252c14
fig05.ipynb
Jupyter Notebook - 109.9 KB - SHA-256: dec9ca26de623737a0fb100b9ba99d47debed8d3f42cc9f7536244622598c8f5
fig06.ipynb
Jupyter Notebook - 51.5 KB - SHA-256: e83706649e7aeca31711918eb02e8e03e11a484bc5277553d07faadacf75fa2c
fig07.ipynb
Jupyter Notebook - 119.0 KB - SHA-256: a897186cc75d51ecb0bd644ee2b96007b4407605159aaa12d0a8ff487e9de20c
fig08.ipynb
Jupyter Notebook - 356.1 KB - SHA-256: 97aa3a9c28dea4973344c3c699a33cfb80868a9e7c1c2297520b846bcf7c9e67
fig09.ipynb
Jupyter Notebook - 97.1 KB - SHA-256: 6a6d090b5962359027fa837eb68ee317576ce104c2aec1fe34fce46fbb63942e
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.

+ =