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.
", "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2026-06-01", "publisher": "Zenodo", "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "exotic species" }, { "subject": "GBIF" }, { "subject": "freshwater habitat" }, { "subject": "biological invasions" }, { "subject": "Macroecology" }, { "subject": "open-source" }, { "subject": "workflow" }, { "subject": "database" }, { "subject": "non native species" } ], "title": "FRIAS: Global Dataset of Freshwater Introduced Alien Species", "version": "2" }, "parent": { "access": { "owned_by": { "user": "1463049" }, "settings": { "accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0 } }, "communities": { "default": "008fea5e-b40a-4832-8927-4a0a55bfa4d3", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "closed", "visibility": "public" }, "children": { "allow": false }, "created": "2025-11-12T15:12:59.608323+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "008fea5e-b40a-4832-8927-4a0a55bfa4d3", "links": {}, "metadata": { "funding": [ { "award": { "number": "PID2023-152037OB-I00", "title": { "en": "GLOBAL STATUS AND TRENDS OF FRESHWATER INVASIVE ALIEN SPECIES" } }, "funder": { "id": "003x0zc53" } } ], "organizations": [ { "id": "edmo:1672" }, { "id": "039ssy097" } ], "page": "Freshwater ecosystems are under severe threat from invasive alien species (IAS), which contribute to biodiversity loss, disrupt ecosystems, and incur substantial economic costs. Despite recognizing the profound impact of these species, there's a notable gap in global-scale data on freshwater IAS, hindering effective risk assessment and management strategies. This lack of comprehensive data hampers the ability to conduct robust risk assessments and develop future scenarios for managing freshwater IAS effectively. The FRIAS project aims to bridge the data gap by establishing a detailed, globally referenced database, enhancing our understanding and management capabilities of freshwater IAS.
\nThe main goal of FRIAS is to develop a robust and extensive database of freshwater IAS, providing insights into their characteristics, distribution patterns, impacts, and potential future trends. This is crucial for making informed decisions to conserve aquatic ecosystems and mitigate the threats posed by invasive species. The database will encompass all introductions of freshwater flora and fauna since the 1800s. This database will serve as a foundation for understanding the characteristics, distribution, and impacts of freshwater IAS, enabling precise monitoring and informed decision-making.
\nTo achieve this, the project is structured into four main parts: WP1 focuses on Data Homogenization and Standardization, streamlining data from various sources into a consistent format. WP2 analyzes the historical data to outline trends and current states of freshwater invasion. WP3 assesses the ecological impacts of freshwater IAS according to IUCN standards, enhancing our understanding of their consequences. Finally, WP4 develops predictive scenarios, offering insights into the future dynamics of freshwater invasion based on different environmental and socio-economic factors.
\nIn essence, FRIAS will make a significant contribution to the field of biodiversity conservation by providing a comprehensive and systematic understanding of freshwater invasive species. Through its innovative approach to data collection and analysis, the project will offer valuable resources for researchers, policymakers, and conservationists, aiding in the development of effective strategies to protect our vital freshwater ecosystems.
\nThis approach will enhance global biodiversity conservation efforts, support the development of effective management strategies, and contribute to the sustainability of freshwater ecosystems.
", "title": "FRESHWATER INTRODUCED ALIEN SPECIES (FRIAS)", "type": { "id": "project" } }, "revision_id": 8, "slug": "frias", "updated": "2025-11-12T15:22:34.084497+00:00" } ], "ids": [ "008fea5e-b40a-4832-8927-4a0a55bfa4d3" ] }, "id": "18270333", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.18270333", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.20485599", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:20485599", "provider": "oai" } }, "revision_id": 4, "stats": { "all_versions": { "data_volume": 917843718.0, "downloads": 11, "unique_downloads": 10, "unique_views": 60, "views": 77 }, "this_version": { "data_volume": 0.0, "downloads": 0, "unique_downloads": 0, "unique_views": 0, "views": 0 } }, "status": "published", "swh": {}, "updated": "2026-06-01T09:43:44.684758+00:00", "versions": { "index": 2, "is_latest": true } }