FRIAS: Global Dataset of Freshwater Introduced Alien Species
Authors/Creators
Contributors
Contact person (3):
-
1.
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.
University of South Bohemia in České Budějovice
-
7.
Consejo Superior de Investigaciones Científicas
- 8. Universidade de Lisboa Centro de Estudos Geográficos: Lisboa, PT
-
9.
Zoological Research Museum Alexander Koenig
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10.
Leibniz Institute of Freshwater Ecology and Inland Fisheries
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11.
Institute of Oceanology
- 12. ICAR-Central Inland Fisheries Research Institute
-
13.
International Union for Conservation of Nature
-
14.
Stellenbosch University
-
15.
University of Stirling
-
16.
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
Files
(51.8 MB)
| Name | Size | Download all |
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md5:8f71f8cc32a4373f843223a7ee10747c
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Additional details
Software
- Repository URL
- https://github.com/AlbaSevilla/FRIAS
- Programming language
- R
- Development Status
- Active