11 to 20 of 402 Results
Vieira Salgado de Oliveira, Julie Anne; Baez, Mariana Alejandra; Pucker, Boas, 2026, "Valeriana officinalis genome sequence and annotation V1", https://doi.org/10.60507/FK2/TQZVWU, bonndata, V1
Here we present the first genome sequence and annotation of Valeriana officinalis (commonly known as valerian), a widespread perennial plant widely used as a herbal remedy. Using ONT long-read sequencing data, a highly continuous genome assembly was generated for V. officinalis. This study uncovers the flavonoid biosynthesis gene repertoire and num... |
Hougardy, Stefan; Klotz, Benjamin; Schürks, Jan Malte; Settels, Armin; Werner, Tobias, 2026, "Schematics and Layouts for NS3K-Based Cells", https://doi.org/10.60507/FK2/9HPTQB, bonndata, V1
This data set contains all cell data and experimental results from our ICCAD 2026 paper, “Optimal Transistor-Level Layout of Single- and Multi-Row Cells for 2nm and Beyond”, by Stefan Hougardy, Benjamin Klotz, Malte Schürks, Armin Settels, and Tobias Werner. |
Rabenstein, Michael, 2024, "Episodic ABF analysis", https://doi.org/10.60507/FK2/LBX1UB, bonndata, V2
A tool to view and analyze episodic electrophysiology data. Supported files: abf, certain LabChart files and Eventer output. Includes a converter to allow csv import. Included analysis operations: Batch analysis Baseline correction |
Jul 27, 2026
Roque, Jane Leonor; Arianna Valmassoi, 2026, "3 Hourly ICON outputs from irrigation long-term simulation", https://doi.org/10.60507/FK2/H4W6DT, bonndata, V1
Studies on irrigation within Earth system models have demonstrated the irrigation effects on various variables. While some regional simulations in Europe have focused on short-term impacts during a single growing season, comprehensive long-term simulations across the entire continent are lacking. Our study aims to quantify the long-term impact of i... |
Scientific datasets created by researchers at the Institute of Computer Science at the University of Bonn. |
Jul 24, 2026
Suski, Pauline; Erben, Fabienne; Mörlein, Daniel; Jansen, Catherina; Quandt, Julian; Zühlsdorf, Anke; Ruppenthal, Tonia; Rückert-John, Jana; Lemken, Dominic, 2026, "Data for: Legume Products and Food Lifestyles: Data from a Comprehensive Consumer Survey", https://doi.org/10.60507/FK2/TAHX4J, bonndata, V2
This dataset contains results from a survey (n = 1,998) on German diets with a special focus on legume consumption and how this is associated with food-related lifestyles. This includes food consumption, food-related lifestyles, sociodemographics, legume consumption as well as knowledge, associations and opinions of legumes and legume containing me... |
Halstead, Michael; Guclu, Esra; Farag, Mohamed; Pallotta, Enrico; Hund, Christian; Roscher, Ribana; Bennewitz, Maren; Gall, Juergen; McCool, Chris, 2026, "BUTom-ST21: Spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels", https://doi.org/10.60507/FK2/TTPCNV, bonndata, V1
The BUTom-ST21 alleviates the data paucity issue within the horticulture and tomato domain. We employed BUTom21 still image dataset and generated spatial-temporal tomato dataset using a neural-radiance field based approach. In total we have 217 video sequences (123 train/ 72 valid/ 22 eval) can be used for image-based/video-based detection and segm... |
Halstead, Michael; Guclu, Esra; Farag, Mohamed; Pallotta, Enrico; Hund, Christian; Roscher, Ribana; Bennewitz, Maren; Gall, Juergen; McCool, Chris, 2026, "BUTom21: Still image tomato dataset for detection and segmentation", https://doi.org/10.60507/FK2/DHTEH1, bonndata, V1
BUTom21 dataset is a fully hand-annotated still image dataset of tomatoes. It contains 123, 72, 98 images respectively in the training, validation, and evaluation subsets. The dataset contains RGB and noisy depth images captured across 2 capture days and two different RealSense D435i cameras. This creates a fully pixel-wise annotated dataset for to... |
