STOREFISH
STOREFISH 2.0 compiles reproductive-trait data for temperate freshwater teleost fishes to enable comparative and phylogenetic analyses of reproductive strategies.
Key Features:
- Data content: Contains reproductive information for 80 freshwater teleost species covering 50 distinct reproductive traits compiled from 1,219 scientific references.
- Taxonomic and ecological scope: Focuses on temperate freshwater teleost fishes and their reproductive strategies.
- Automated data extraction: Incorporates advanced automated data extraction techniques to extract trait information from the scientific literature.
- Automated presentation and visualization: Uses automated presentation techniques to generate visualizations and present complex trait datasets.
- Data integration and provenance: Integrates and augments a foundational dataset published in 2007 to produce an enriched, centralized repository of reproductive data.
- Analytical support: Provides datasets structured to support large-scale phylogenetic analyses and comparative studies of reproductive traits.
Scientific Applications:
- Phylogenetic comparative analyses: Enables large-scale phylogenetic analyses of reproductive traits across teleost species.
- Evolutionary studies: Facilitates investigation of the evolutionary dynamics and diversification of reproductive strategies in teleost fishes.
- Freshwater biodiversity research: Supports comparative studies addressing reproductive variation in temperate freshwater fish biodiversity.
- Conservation and ecological assessment: Supplies reproductive trait data applicable to conservation planning and ecological management of freshwater fishes.
Methodology:
Advanced automated data extraction from 1,219 scientific references and automated presentation techniques were used to assemble the reproductive-trait dataset for 80 species covering 50 traits, building on a 2007 foundational dataset.
Topics
Details
- Added:
- 1/18/2021
- Last Updated:
- 2/24/2021
Operations
Publications
Unknown Authors. OUP accepted manuscript. Database. 2020. doi:10.1093/database/baaa095. PMID:33216894. PMCID:PMC7678788.