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1 to 10 of 16 Results
Mar 25, 2025
Tambe, Bertrand Agbor, 2025, "Confocal live cell images of microglia in 3D cell culture from the dissertation ' 3D culture conditions instruct an in vivo-like phenotype in primary microgia'", https://doi.org/10.60507/FK2/FFPGJA, bonndata, V1
Microglia are innate immune cells of the central nervous system. They possess a diverse range of morphological features that enable them to perform different functions, such as surveillance, phagocytosis and immune response. In response to changes in physiological conditions with...
Mar 7, 2025
Koch, Irmgard, 2025, "Dataset: Drought damage to forest trees by hygroscopic particles", https://doi.org/10.60507/FK2/AU4RUC, bonndata, V1
This dataset contains data from a three year PhD project concerning the drought damage to forest trees by hygroscopic paricles founded by the Umweltbundesamt in germany. From 2021 to 2024, leaves and needles from the canopies of beech, oak, spruce and pine at different level II p...
Jan 24, 2025
Haraldsson, Einar B., 2026, "Supplementary information: Hordeum erectifolium, a physiological and genomic study of drought-adaptive traits", https://doi.org/10.60507/FK2/DDQAA0, bonndata, V1
Supplementary data tables the dissertation titled: "Hordeum erectifolium, a physiological and genomic study of drought-adaptive traits" published at the ULB. The tables contain metrics, statistics, quality data and analysis of the sequencing data, genome, gene annotations along w...
Jan 21, 2025 - LHC Open DataFrames
Saala, Timo, 2025, "pandas DataFrames of the DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV process", https://doi.org/10.60507/FK2/1MTTRE, bonndata, V1
This dataset contains pandas DataFrames that represent filtered versions of CMS Open Data (in the form of ROOT files) available on the CERN OpenData Portal. This dataset specifically contains data from a DYToMuMu process (Drell-Yan process resulting in two Muons in the final stat...
Jan 14, 2025
Leiwig, Maximilian; Swierzy, Ben; Bungartz, Christian; Meier, Michael, 2024, "Replication data for "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair"", https://doi.org/10.60507/FK2/O54LWP, bonndata, V2
This repository contains replication data for the paper "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair". The dataset contains commits that indicate a bug fix from 200 repositories on Github. Scripts for fetching data associated with the commi...
Jan 6, 2025
Uebermuth-Feldhaus, Carolin, 2025, "Supplementary Data to the study on Candidate gene prediction for drought adaptation in Brassicaceae species", https://doi.org/10.60507/FK2/JBUJFW, bonndata, V1
Contains the raw results of the gene family prediction and their differential expression under drought in the Brassicaceae species Eutrema salsugineum, Arabidopsis lyrata, Arabidopsis thaliana and Brassica napus, including phylogenetic trees for expanded gene families. It contain...
Nov 13, 2024
Caspersen, Lars, 2024, "Supporting Information for manuscript: Contrasting responses to climate change – predicting bloom of major temperate fruit tree species in the Mediterranean region and Central Europe", https://doi.org/10.60507/FK2/NJVZNP, bonndata, V1
This dataset contains model parameters for the PhenoFlex phenology framework. The parameters were calculated for a subset of the dataset "Long-term phenology observations for temperate fruit trees in the Mediterranean region (and Germany)" (DOI: https://doi.org/10.60507/FK2/MZIEL...
Oct 22, 2024
Vogel, Daniel; Viola, Felix; Kreimeyer, Nicholas Malte, 2024, "Uni Bonn Probe Request Data Set", https://doi.org/10.60507/FK2/TXOWTX, bonndata, V1
A data set of probe requests captured from various smartphones with and without MAC address randomization enabled
Oct 21, 2024
Shams Eddin, Mohamad Hakam; Gall, Juergen, 2024, "Identifying spatio-temporal drivers of extreme events [data set]", https://doi.org/10.60507/FK2/RD9E33, bonndata, V1
This data set allows to systematically evaluate approaches for the task of identifying extreme events in water cycle components by developing deep neural networks that detect anomalies and drivers of extremes in simulated data.
Jul 25, 2024
Möhring, Niklas; Muller, Adrian; Schaub, Sergei, 2024, "Dataset on the adoption of organic agriculture", https://doi.org/10.60507/FK2/KI9WGA, bonndata, V1
The here presented dataset provides information on peer-reviewed articles on organic adoption, retrieved through a systematic literature review of 18129 articles, resulting in 120 target studies. It provides information on i) the article, ii) characteristics of the production sys...
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