Metrics
167,817 Downloads

bonndata is the institutional, cross-disciplinary research data repository for the publication of research data for all researchers at the University of Bonn.
bonndata is provided by the University IT and Data Center and maintained by the Research Data Service Center.

Ready to get started with bonndata?
Have a look at our User Guide to get to know the bonndata workflow, tips and tricks!

Questions? Need assistance?
Get in touch: researchdata@uni-bonn.de



Featured Dataverses

In order to use this feature you must have at least one published or linked 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.

Advanced Search

1 to 10 of 285 Results
Oct 29, 2025
Möhring, Niklas; Ba, Malick; Braga, Anna; Gaba, Sabrina; Gagic, Vesna; Kudsk, Per; Larsen, Ashley; Mesnage, Robin; Niggli, Urs; Qaim, Matin; Schreinemachers, Pepijn; Stamm, Christian; de Vries, Wim; Finger, Robert, 2025, "Code of "Expected Effects of a Global Transformation of Agricultural Pest Management"", https://doi.org/10.60507/FK2/FE09XJ, bonndata, V1
The here presented dataset provides code to replicate the analysis of Möhring et al. (2025) on expected effects of a global transformation of agricultural pest management based on an online survey conducted in 2022 with 517 senior scientific experts from key agricultural regions and disciplines. The assessment framework covers 24 indicators in the...
Oct 29, 2025
Möhring, Niklas; Ba, Malick; Braga, Anna; Gaba, Sabrina; Gagic, Vesna; Kudsk, Per; Larsen, Ashley; Mesnage, Robin; Niggli, Urs; Qaim, Matin; Schreinemachers, Pepijn; Stamm, Christian; de Vries, Wim; Finger, Robert, 2025, "Dataset for "Expected Effects of a Global Transformation of Agricultural Pest Management"", https://doi.org/10.60507/FK2/XWSS9W, bonndata, V1
The here presented dataset provides information on expected effects of a global transformation of agricultural pest management from an online survey conducted in 2022 with 517 senior scientific experts from key agricultural regions and disciplines. The assessment framework covers 24 indicators in the economic, human health, food security, social, a...
Oct 24, 2025 - Bonn Mathematics
Dölz, Jürgen; Henríquez, Fernando, 2025, "Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering", https://doi.org/10.60507/FK2/OJUHWY, bonndata, V1
Dataset and code to replicate data from Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering. 2025. Authors: J. Dölz, F. Henríquez Submitted to SIAM Journal on Scientific Computing Arxiv: https://arxiv.org/abs/2502.01859
Oct 17, 2025
Horz, Jakob; Wolff, Katharina; Friedhoff, Ronja; Pucker, Boas, 2025, "Digitalis purpurea genome sequence and annotation V2", https://doi.org/10.60507/FK2/4KUKXI, bonndata, V1
Here we present a high-quality genome sequence and annotation of Digitalis purpurea (commonly known as foxglove), a plant valued both for its ornamental flowers and for producing the cardiac drug digoxin. The study aims to uncover the genetic basis of flower color variation in this species. Using ONT long-read sequencing data, we assembled the geno...
Oct 13, 2025
Guclu, Esra; Halstead, Michael; Denman, Simon; McCool, Chris, 2025, "BUP-ST20: Weakly Labelled Spatial Temporal Sweet Pepper Data", https://doi.org/10.60507/FK2/NUMVO1, bonndata, V2
Accurate monitoring of crop phenotypic traits is essential for efficient farm management and automation in agriculture. Multi-object tracking (MOT) and video instance segmentation (VIS) offer promising approaches to enhance agricultural robotic vision systems, yet a major limitation is the scarcity of high-quality spatial-temporal datasets. We intr...
Oct 8, 2025 - Medical Faculty
Karl, Rudolfo, 2025, "Microscopy images of renal macrophages in the tissue environment and in 3D cultures", https://doi.org/10.60507/FK2/QG2959, bonndata, V2
Microscopy images (confocal, brightfield) shown in the publication. We present here the unedited raw images in a .tif or .jpg format. The images are supplementary information for the various figures shown in the paper "Renal tissue-resident macrophages promote cystogenesis in early polycystic kidney disease".
Oct 1, 2025
Shams Eddin, Mohamad Hakam; Zhang, Yikui; Kollet, Stefan; Gall, Juergen, 2025, "RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting [data set]", https://doi.org/10.60507/FK2/T8QYWE, bonndata, V1
This is the dataset used in the RiverMamba paper (see https://arxiv.org/abs/2505.22535). The aim of the RiverMamba project is to develop a deep learning model that is pretrained with long-term reanalysis data and fine-tuned on observations to forecast global river discharge and floods up to 7 days lead time on a 0.05° grid. The dataset includes the...
Sep 23, 2025
Thomas, Jonathan, 2025, "REDIRE: the database on recorded sound propaganda of the Italian Fascist Regime (1922-1943)", https://doi.org/10.60507/FK2/F70LI2, bonndata, V1
The first political regime to be designated as totalitarian, Italian fascism (1922-1943) deployed intense propaganda, whose use of the press, radio, and cinema has already been extensively studied. However, another of its tools has been overlooked: the phonograph record, which nevertheless played a key role in disseminating fascist policies and ima...
Sep 15, 2025
Chong, Yue Linn, 2025, "MuST-C Dataset: The Multi-Sensor and Multi-Temporal Data Set of Multiple Crops for In-Field Phenotyping and Monitoring", https://doi.org/10.60507/FK2/OX9XTM, bonndata, V2
Phenotyping is crucial for understanding crop trait variation and advancing research, but is currently limited by expensive, labor-intensive monitoring. New phenotypic trait monitoring methods are being proposed to reduce this so-called phenotyping bottleneck via automation. These methods are often data-driven, requiring a dataset recorded with a s...
Sep 9, 2025 - Bonn Mathematics
Emrah, Elnur; Ferrari, Patrik; Liu, Min, 2025, "Critical fluctuations of the exponential last passage percolation with thick boundaries", https://doi.org/10.60507/FK2/5PUB1P, bonndata, V1
Those files contain a numerical implementation of the generalized Baik-Rains distribution and some other related materials.
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.