Database Access & Usage
Download VegVault Database
VegVault v1.0.0 is available as a comprehensive SQLite database providing integrated access to global vegetation, trait, and environmental data.
Download VegVault v1.0.0 (SQLite)
System Requirements: VegVault contains over 100GB of data. Ensure your system has sufficient storage space and memory (RAM) before downloading.
Alternative Access: Flat Files
For users who prefer working with individual data tables, we provide VegVault as separate CSV files:
Download VegVault v1.0.0 (Flat Files)
Note: Flat files are not the recommended approach. Many files exceed 1GB and may be difficult to load into memory. We strongly recommend using the SQLite database with the {vaultkeepr} R package for optimal performance.
Accessing VegVault with {vaultkeepr}
To make VegVault easily accessible, we developed {vaultkeepr}, a well-tested R package (>95% code coverage) that provides intuitive functions for interacting with the database. The package handles database connections, data filtering, and extraction, allowing you to retrieve only project-specific data without loading everything into memory.
Installation
Install {vaultkeepr} from GitHub:
# install.packages("remotes")
::install_github("OndrejMottl/vaultkeepr") remotes
Load the package:
library(vaultkeepr)
Quick Start
See our Usage Examples for detailed demonstrations of how to:
- Extract vegetation data for specific regions and time periods
- Access functional trait information
- Link abiotic environmental data
- Perform taxonomic harmonization
Guidelines for Data Reuse and Citation
Licensing
VegVault is released under CC BY 4.0 License (Creative Commons Attribution 4.0), allowing you to:
- Copy and redistribute the material
- Adapt and build upon the material
Requirements: You must provide appropriate attribution to VegVault and cite all primary data sources.
Citation Requirements
When using VegVault in your research:
- Cite VegVault: Always cite the latest VegVault version with its corresponding DOI
- Cite primary sources: Acknowledge all original data providers included in your analysis
- Use our helper function: The
vaultkeepr::get_references()
function automatically generates the complete list of recommended citations for your specific data compilation
Publication & Pre-print
Pre-print: “VegVault database: linking global paleo-, and neo-vegetation data with functional traits and abiotic drivers”
For additional citation materials, visit our Materials & Outputs page.
Important Limitations
Data Quality Considerations
VegVault’s quality depends on the completeness, accuracy, and reliability of primary data sources. We acknowledge potential issues in global ecological databases (as noted for TRY) but focus on improving data re-usability rather than correcting source data quality issues.
Technical Limitations
- Storage requirements: >100GB database size may be challenging for some systems
- Memory requirements: Large datasets may require substantial RAM for analysis
- Version dependencies: Always specify the VegVault version used in your research
Additional Resources
- Database Structure - Detailed technical documentation
- Database Content - Overview of included data
- Database Assembly - Data processing and integration procedures
- Database Examples - Practical usage scenarios
- Contact & Support - Get help and report issues