1 to 10 of 38 Results
Demesvar, Kenrick; Laviña, Javier; Voss, Alexa; Zeuske, Michael, 2025, "Atlas on slavery in French and Spanish territories of Santo Domingo from the 16th century to the end of the 18th century", https://doi.org/10.60507/FK2/BHWFHJ, bonndata, V1
The project aims to create an atlas on slavery in Santo Domingo by compiling information on historical events in its French and Spanish territories from the 16th to the late 18th century. It responds to the growing need for deeper research into the history of slavery, particularly within the framework of UNESCO’s ‘Slave Route’ project. While Caribb... |
Dec 21, 2025 - Medical Faculty
Luebbering, Nikola; Zimmer, Sebastian, 2025, "Clinical dataset on monocyte cholesterol crystal uptake and cyclodextrin exposure in patients undergoing coronary angiography", https://doi.org/10.60507/FK2/0SYROH, bonndata, V1
This observational study includes patients undergoing diagnostic coronary angiography. For each participant we document demographic characteristics, cardiovascular risk factors, angiographic findings (presence and extent of CAD, PCI), laboratory markers of inflammation and metabolism, and medication at the time of the study. In addition, we assess... |
Choudhary, Nancy; Hagedorn, Marie; Pucker, Boas, 2025, "Supplementary data supporting the study: "Out of the blue: Family-wide loss of anthocyanin biosynthesis in Cucurbitaceae"", https://doi.org/10.60507/FK2/ZNVSLA, bonndata, V1
This dataset contains supplementary data supporting the manuscript "Out of the blue: Family-wide loss of anthocyanin biosynthesis in Cucurbitaceae". In this large-scale phylogenomics study, we discovered the systemic absence of anthocyanin and proanthocyanidin biosynthesis genes in the Cucurbitaceae family. The structural genes DFR, ANS, arGST, LAR... |
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, V3
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... |
Nov 11, 2025
Schilling, Julia; Fuchs, Robert, 2025, "Raw data and analysis code for the study “Project 2025 as a technocratic blueprint: A corpus-based linguistic analysis of conservative governance discourse”", https://doi.org/10.60507/FK2/BK14F8, bonndata, V1
This repository contains all data and scripts used for the study “Project 2025 as a Technocratic Blueprint: A Corpus-Based Linguistic Analysis of Conservative Governance Discourse” (Schilling & Fuchs, 2025). The study investigates the language of the Heritage Foundation’s Project 2025, a 900-page conservative policy blueprint, using methods from Co... |
Marín Recinos, María Fernanda; Pucker, Boas, 2025, "Supplementary data to Evolutionary Dynamics of the Proanthocyanidin Biosynthesis Gene LAR", https://doi.org/10.60507/FK2/UKAAO0, bonndata, V2
This dataset contains supplementary files associated with the manuscript "Evolutionary Dynamics of the Proanthocyanidin Biosynthesis Gene LAR", which investigates the evolutionary divergence, sequence variation, promoter motif composition, and coexpression patterns of LAR1 and LAR2 genes across multiple plant lineages. Supplementary materials inclu... |
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... |
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... |
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... |
