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Updated: Feb 11, 2026

Environmental Sampling of Photosynthetic Microbes and Their Viruses: From Field to Lab
Published on: July 3, 2025
A generic workflow for effective sampling of environmental vouchers with UUID assignment and image processing
Dagmar Triebel1, Wolfgang Reichert1, Simone Bosert2
1Staatliche Naturwissenschaftliche Sammlungen Bayerns, 80638 München, Germany.
This study introduces DiversityWorkbench, a novel database for exploring biological diversity. It provides an accessible platform for researchers to investigate species distribution and evolutionary relationships.
Area of Science:
- Biodiversity Informatics
- Computational Biology
- Evolutionary Biology
Background:
- Understanding global biodiversity patterns is crucial for conservation efforts.
- Existing biodiversity databases often lack comprehensive integration or user-friendly interfaces.
- The need for a centralized, dynamic platform for biodiversity data exploration is evident.
Purpose of the Study:
- To develop and present DiversityWorkbench, an integrated database for biodiversity research.
- To facilitate the visualization and analysis of species occurrence and trait data.
- To support evolutionary and ecological studies through accessible data.
Main Methods:
- Data aggregation from various biodiversity repositories.
- Development of a web-based interface for data querying and visualization.
- Implementation of tools for phylogenetic and ecological analyses.
Main Results:
- DiversityWorkbench successfully integrates diverse biodiversity datasets.
- The platform enables interactive exploration of species distributions and associated data.
- Initial analyses demonstrate the utility of the database for identifying biodiversity hotspots and evolutionary trends.
Conclusions:
- DiversityWorkbench offers a valuable resource for the scientific community.
- The integrated approach enhances the accessibility and utility of biodiversity data.
- This platform has the potential to advance research in biodiversity informatics, ecology, and evolutionary biology.
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