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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.

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Biomazon: A Multimodal Dataset for 3D Forest Structure and Biomass Modeling in the Amazon Basin
May 7, 2026 - Earth System Science
Mandal, Sayan; Sedona, Rocco; Besnard, Simon; Urbazaev, Mikhail; Zandi, Ehsan; Cavallaro, Gabriele, 2026, "Biomazon: A Multimodal Dataset for 3D Forest Structure and Biomass Modeling in the Amazon Basin", https://doi.org/10.26165/JUELICH-DATA/2YP2PZ, Jülich DATA, V1
Biomazon is a large-scale, multi-modal remote sensing benchmark dataset covering the Amazon basin, designed for wall-to-wall estimation of forest vertical structure and aboveground biomass from dense multi-sensor Earth Observation data. The dataset fuses six complementary input m...
DATASET_SHA256SUMS.txt
Plain Text - 2.3 KB - SHA-256: 81376fb74da47f7c31cf45bac89d957e838d3f2c8e406e4849474eaf56419823
SHA-256 checksum manifest for the Biomazon data release. Each line contains the SHA-256 hash and relative file path of a released file, enabling users to verify download completeness and file integrity after transfer or extraction.
Data availability information for "Sleep deprivation increases levels of the synaptic density marker SV2A in the human brain"
May 5, 2026 - Institute of Neuroscience and Medicine – Molecular Organization of the Brain (INM-2)
Elmenhorst, David, 2026, "Data availability information for "Sleep deprivation increases levels of the synaptic density marker SV2A in the human brain"", https://doi.org/10.26165/JUELICH-DATA/GOTGS5, Jülich DATA, V1
The raw data could be identified and linked to a single subject and represent a large amount of data. Researchers willing to access to the raw data should send a request at d.elmenhorst@fz-juelich.de or the contact information provided here: https://www.fz-juelich.de/en/inm/inm-2...
Institute of Neuroscience and Medicine – Molecular Organization of the Brain (INM-2)(Forschungszentrum Jülich)
May 5, 2026
The dataverse of the Institute of Neuroscience and Medicine – Molecular Organization of the Brain (INM-2)
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
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