bonndata (Rheinische Friedrich-Wilhelms-Universität Bonn)
Not a member yet
    194 research outputs found

    Image data related to publication "Size-dependent plastic exposure disrupts macrophage function and tissue-specific metabolism"

    No full text
    Plastic pollution is an emerging yet understudied environmental risk to the immune system. Once ingested, nano- and microplastic particles (MNPs) can translocate from the gut to internal organs, with macrophages serving as primary targets. Kupffer cells (KCs), the liver-resident macrophages, play a central role in immune surveillance and metabolism, yet their response to MNPs remains unclear. Here, using a chronic plastic exposure model in mice, we identify KCs as the primary hepatic reservoir for MNPs. Long-term exposure alters their transcriptional profile and impairs phagocytic function, leading to metabolic dysregulation of hepatocytes. Microplastics, but not nanoplastics, reduce KC-mediated clearance of circulating cells and bacteria. Under diet-induced obesity, microplastics exacerbates hepatic lipid accumulation, while nanoplastics impair systemic glucose metabolism. Although the blood-brain barrier limits microplastic infiltration, a small fraction of ingested nanoplastics reaches the brain, where it is taken up by microglia, the brain-resident macrophages. However, we observe no signs of neuroinflammation or behavioral deficits. These findings demonstrate that chronic MNP exposure disrupts macrophage function in a size-dependent manner, with distinct consequences for liver and systemic metabolism, while the brain remains largely protected. Understanding tissue-specific vulnerabilities to MNPs is crucial for assessing their long-term health impact

    Hourly ICON outputs from irrigation sensitivity test

    No full text
    Irrigation is an agricultural practice that keeps an ideal soil moisture for crop growth. Aside from this, the Earth system community also recognized the irrigation impact on different components of the Earth system. Therefore, the aim of the study was to quantify the irrigation impact by implementing irrigation simulations on regional ICON-NWP simulations at 3 km horizontal resolution in the EURO-CORDEX domain in Limited-Area Mode. To achieve this, once the irrigation parameterization was included in the ICON model, we ran a sensitivity test with different irrigation amounts, which are average irrigation amounts per country. The current dataset includes the output of the Control run (CTRL), no irrigation in the system. In addition, the current dataset includes the outputs of five free simulation with ICON-nwp considering an irrigation amount of 2.6 mm/d, 6.7 mm/d, 11.1 mm/d, which is the average from France, Spain and Italy (Irrigation average from Eurostat), respectively. Moreover, we included soil moisture forced to field capacity and saturation. When substracted irrigation experiments from the CTRL, results demonstrated that ICON captures the irrigation effect on land-surface and atmospheric variables. As expected, soil moisture content increased, influencing changes in energy fluxes with an increase of LHF and a reduction of SHF. This led to a cooling effect for 2-meter temperature. From this impact, we found that the primary source of sensitivity came from the method used to introduce irrigation water into the system, rather than from the irrigation amount. As stated above, these files are the outputs from the ICOsahedral Nonhydrostatic model (ICON). This model was developed by the German Weather Service (DWD) and the Max Planck Institute for Meteorology (MPI-M). ICON is currently used operationally at the Deutscher Wetterdienst (DWD) for weather forecasting

    dolospy

    No full text
    This repository contains a re-implementation of the rolling AST hash algorithm from Dolos (https://dolos.ugent.be/) in C++ with Python bindings. It is 8x faster for indexing and 10,000x faster in reporting compared to the original JavaScript implementation (cf. BENCHMARKING.md)

    Replication Data for: "From Constrictor to Serpent: Investigating the Threat of Cache Poisoning in the Python Ecosystem"

    No full text
    The dataset contains Package-URLs (PURLs) and SHA-256 checksums of Python packages from PyPI which contain at least one cache file (*.pyc)

    Replication Software for "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web"

    No full text
    This dataset contains software artifacts for the paper "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web". It includes all software artifacts (crawler, Aletheia implementation, evaluation scripts) used for analysis. For the re-implementation of Dolos (dolospy), please check the related material

    Winter wheat simulation outputs across Europe (1991–2020)

    No full text
    This dataset contains spatially explicit, process-based simulation outputs of winter wheat growth and water use across Europe. Simulations were conducted over a 30-year historical climate period and aggregated to seasonal values from sowing to harvest. The dataset includes simulations for 2 winter wheat cultivars (Tommi and S. Dickkopf). As defined in the associated manuscript, Tommi represents a modern cultivar (released 2002), S. Dickkopf represents a historic cultivar (released 1895). The dataset was generated to support analyses of cultivar-specific differences in transpiration and related variables under contrasting climatic conditions

    Vertices of the Subtour Polytope

    No full text
    We provide all vertices of the subtour polytope up to n=14 and all half-integral vertices of the subtour polytope up to n=17

    Replication Code for: "From Constrictor to Serpent: Investigating the Threat of Cache Poisoning in the Python Ecosystem"

    No full text
    Scripts for reproducing cache files in Python packages. This includes an automated Docker-based setup for running old Python versions with bytecode compilation and tools for automatic and manual cache file comparisons. Additionally, proofs of concept are include

    Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

    No full text
    In this repository, you can find the code to train and evaluate SCANNER+, a novel neighborhood-based self-enrichment approach for traffic speed prediction. SCANNER+ learns effective node representations in dynamic road traffic settings. This work extends SCANNER, which utilizes correlation-based pattern detection and a self-enrichment mechanism

    Ecological niche and presence maps for Wesselsbron, Sindbis and Middelburg viruses and their vectors in Africa

    No full text
    This dataset comprises ecological niche models of Wesselsbron, Sindbis, and Middelburg viruses and five mosquito vectors (Aedes circumluteolus, Aedes mcintoshi, Culex univittatus, Culex pipiens, and Mansonia africana) in Africa. The models predict the potential distribution and presence of species under current (year 2015) and future (years 2021 - 2040) ecology. The dataset used to generate these models is published, https://doi.org/10.60507/FK2/LA6LJW

    0

    full texts

    194

    metadata records
    Updated in last 30 days.
    bonndata (Rheinische Friedrich-Wilhelms-Universität Bonn)
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇