Published June 1, 2026 | Version 2
Dataset Open

FRIAS: Global Dataset of Freshwater Introduced Alien Species

  • 1. ROR icon Instituto Pirenaico de Ecología
  • 2. Research Institute for Nature and Forest
  • 3. Research Institute for Nature and Forest (INBO)
  • 4. Freelance biogeography consulting, training and analysis
  • 5. Universidad Miguel Hernández de Elche Departamento de Biología Aplicada
  • 6. ROR icon University of South Bohemia in České Budějovice
  • 7. ROR icon Consejo Superior de Investigaciones Científicas
  • 8. Universidade de Lisboa Centro de Estudos Geográficos: Lisboa, PT
  • 9. ROR icon Zoological Research Museum Alexander Koenig
  • 10. ROR icon Leibniz Institute of Freshwater Ecology and Inland Fisheries
  • 11. ROR icon Institute of Oceanology
  • 12. ICAR-Central Inland Fisheries Research Institute
  • 13. ROR icon International Union for Conservation of Nature
  • 14. ROR icon Stellenbosch University
  • 15. ROR icon University of Stirling
  • 16. ROR icon University of Giessen

Description

The FRIAS (FReshwater Invasive and Alien Species) dataset is a global standardized compiled database of freshwater alien and invasive species worldwide. It integrates key data such as taxonomy, native and recipient ranges, introduction pathways, ecological impacts, and dates of first records. It provides a comprehensive resource to support monitoring, risk assessment, and research on biological invasions in freshwater ecosystems.

FRIAS dataset is generated through the transparent and replicable FRIAS workflow, whose code is stored on Github (https://github.com/AlbaSevilla/FRIAS).

The FRIAS workflow has been completely implemented in the open-source statistical R software version 4.5.0 (R Core Team, 2025). All necessary R packages are automatically installed through the Packages_download() function. As the workflow has been developed on Debian GNU/Linux 13 (trixie), minor changes may be required to run on Windows or macOS systems (e.g., file path handling). To add new data, input databases must be provided in a .csv or .xlsx format. Data can be added manually or automatically incorporating instructions to the R script, which is recommended to ensure reproducibility. Once the download is completed, information from each database must be added to Table S1, which indicates the correspondence between original column names and the standardised schema used in FRIAS workflow. Once the harmonization step is completed, users may need to update Table S2 to account for new or database-specific terminology.

Files

FRIAS_Package_v2.zip

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Additional details

Software

Repository URL
https://github.com/AlbaSevilla/FRIAS
Programming language
R
Development Status
Active