The Global Register of Introduced and Invasive Species - Belgium is a species checklist published by the Invasive Species Specialist Group (ISSG). It contains information on 3,900+ validated non-native taxa in Belgium and serves as the national reference for the Global Register of Introduced and Invasive Species (GRIIS, Pagad et al. 2018). The checklist is created through an open and reproducible workflow developed for the TrIAS project (http://trias-project.be, see Methodology). It is published here as a standardized Darwin Core Archive and includes for each taxon: the scientific name, higher classification and stable taxon identifier, provided by the GBIF Backbone Taxonomy (in the taxon core) and related information in three extensions, provided by the source checklists (or the most trustworthy one in case of competing information). The related information consists of the year of first introduction and last assessment/observation in Belgium and where available its regions (given as a year range in the event date in the distribution extension), coarse habitat information (in the species profile extension) and the pathway(s) of introduction, native ranges (following UN geoscheme), and invasion stage in Belgium (in the description extension). The source for each piece of information is credited. Issues with the dataset can be reported at https://github.com/trias-project/unified-checklist We have released this dataset under a Creative Commons Attribution 4.0 International License (CC-BY 4.0). We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) when using the data. If you have any questions regarding this dataset, don’t hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/trias_project. This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO).

The checklist of alien herpetofauna of Belgium is a species checklist dataset published by the Research Institute for Nature and Forest (INBO). It contains information on alien amphibian and reptile species recorded in the wild in Belgium since 1968. Both established species and occasional records are included, but with information on the degree of establishment of species following the unified invasion framework of Blackburn et al. (2011). The checklist is published here as a standardized Darwin Core Archive and includes for each (sub)species: the scientific name and classification (in the taxon core), the presence in Flanders, Wallonia and the Brussels-Capital Region, year of first and last observation in Belgium (given as a year range in the event date in the distribution extension), coarse habitat information (in the species profile extension), and the degree of establishment, pathway(s) of introduction and native range(s) (in the description extension). Issues with the dataset can be reported at https://github.com/trias-project/alien-herpetofauna-belgium. We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) when using the data. If you have any questions regarding this dataset, don’t hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/trias_project. This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO). It is selected as one of the authoritative sources for the compilation of a unified and reproducible checklist of alien species in Belgium.

The Checklist of non-native freshwater fishes in Flanders, Belgium is a species checklist dataset published by the Research Institute for Nature and Forest (INBO). It contains information on 23 alien fish species occurring in Flemish natural and semi-natural waterbodies, detected in sampling between 1992 and 2006. This species checklist was assessed within the framework of the Freshwater Fish Monitoring Network by Verreycken et al. (2007) and reassessed for Verreycken et al. (2018). Here it is published as a standardized Darwin Core Archive and includes for each species: the scientific name, kingdom, and stable taxon identifier (in the taxon core), the Dutch and English vernacular name (in the vernacular names extension), the year of first introduction in Flanders (given as a year range, with the year of last observation empty), the pathway(s) of introduction and the degree of establishment in Flanders (in the distribution extension), coarse habitat information (in the species profile extension) and native range(s) (in the description extension). The dataset can be used for researching and managing aquatic invasions or compiling regional and national registries of alien species. Issues with the dataset can be reported at: https://github.com/trias-project/alien-fishes-checklist We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don’t hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/LifeWatchINBO. This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO). It is selected as one of the authoritative sources for the compilation of a unified and reproducible checklist of alien species in Belgium.

The RIPARIAS target species list is a species checklist dataset published by the Research Institute for Nature and Forest (INBO). It contains (1) the target species of the LIFE RIPARIAS project (LIFE19 NAT/BE/000953), all of them invasive alien species (IAS) of the Regulation (EU) 1143/2014 (https://ec.europa.eu/environment/nature/invasivealien/) and (2) the alert list species that currently do not occur in the LIFE RIPARIAS project area, but have proven to have negative impacts on biodiversity and need to be rapidly removed should they be encountered. The alert list was drafted within the LIFE RIPARIAS project following an evidence-based methodology involving climate matching and risk assessment (Branquart et al. 2022). By publishing this list on GBIF it can be used for general reference, early warning systems, data extractions, baseline reporting, project KPIs etc. Issues with the dataset can be reported at: https://github.com/riparias/riparias-target-list We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be. This dataset was published as open data for the LIFE RIPARIAS project (Reaching Integrated and Prompt Action in Response to Invasive Alien Species https://www.riparias.be/), with technical support provided by the Research Institute for Nature and Forest (INBO).

The List of Invasive Alien Species of Union concern (also called the Union list) is a species checklist dataset published by the Research Institute of Nature and Forest (INBO). This list contains regulated invasive alien species (IAS) that require action at European Union Level, and is at the core of Regulation (EU) 1143/2014 on the prevention and management of the introduction and spread of IAS (the IAS Regulation). The list has an evidence base in risk assessments, showing potentially significant adverse impacts on biodiversity or related ecosystem services. The species included on the Union list are subject to restrictions and measures set out in the Regulation. These include restrictions on keeping, importing, selling, breeding and growing. Member States are required to take action on pathways of unintentional introduction, to take measures for the early detection and rapid eradication of these species, and to manage species that are already widely spread in their territory. The list is dynamic and is subject to regular updates when new species are added. Here, it is published as a standardized Darwin Core Archive and includes for each species: the scientific name, higher classification and stable taxon identifier (in the taxon core), the English, Dutch, French and German common names in line with www.iasregulation.be, the date of entry into force (the date the provisions of the Regulation enter into force for the species, as mentioned in the Commission Implementing Regulation (EU) 2016/141, 2017/1263, 2019/1262, 2022/1203). Issues with the dataset can be reported at https://github.com/riparias/union-list/issues. For more information on the EU IAS Regulation and the list of IAS of Union concern, please see the European Commission webpage on IAS (https://environment.ec.europa.eu/topics/nature-and-biodiversity/invasive-alien-species_en), the IUCN website on the IAS Regulation (https://www.iucn.org/our-work/topic/invasive-alien-species) and the European Alien Species Information Network. We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be. This dataset was published as open data for the LIFE RIPARIAS project (Reaching Integrated and Prompt Action in Response to Invasive Alien Species https://www.riparias.be/), with technical support provided by the Research Institute for Nature and Forest (INBO).

The checklist of alien parrot species in Turkey is a species checklist dataset managed by the Gazi University. It was developed particularly for the Turkish parakeet census project (trpapagansayimlari.blogspot.com), and it includes newly introduced parrot species not covered elsewhere (yet). Here it is published as a standardized Darwin Core Archive and includes for each species: the scientific name, higher classification and stable taxon identifier (in the taxon core), the presence status, date of first collection and last observation (given as a year range in the event date) and degree of establishment of the species in Turkey in the distribution extension. Issues with the dataset can be reported at esraper@gazi.edu.tr We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via e-mail.

The Checklist of alien species in the Scheldt estuary in Flanders, Belgium is a species checklist dataset published by the Research Institute for Nature and Forest (INBO). It contains information on 61 invertebrate alien species occurring in the Belgian Scheldt estuary, detected between 1835 and now. Here it is published as a standardized Darwin Core Archive and includes for each species: the scientific name, higher taxonomy, stable taxon ID (in the taxon core), the year of first introduction and/or last assessment in Flanders (given as a year or year range in the event date in the distribution extension), coarse habitat information (in the species profile extension) and the native range(s), pathway(s) of introduction and degree of establishment in Flanders (in the description extension). Issues with the dataset can be reported at https://github.com/trias-project/alien-scheldt-checklist We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be. This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO). It is selected as one of the authoritative sources for the compilation of a unified and reproducible checklist of alien species in Belgium.

RINSE - pathways and vectors of biological invasions in Northwest Europe is a species checklist dataset published by the Research Institute for Nature and Forest (INBO). It contains detailed information on 359 taxa, comprising all non-native Mollusca, Osteichthyes (bony fish), Anseriformes (wildfowl), Mammalia and all non-native, invasive Angiospermae occurring in the wild in the Two Seas region countries (Great Britain, France, Belgium and the Netherlands). This dataset is the result of the screening of 33 national and international print and online sources by Zieritz et al. (2017, https://doi.org/10.1007/s10530-016-1278-z), where it was originally published as supplementary material (Table S2). Here it is published as a standardized Darwin Core Archive and includes for each taxon: the scientific name, higher classification and stable taxon identifier (in the taxon core), the country where it is established as a non-native taxon, the year of first introduction and last assessment in that specific country (given as a year range in the event date in the distribution extension), coarse habitat information (in the species profile extension), the pathway(s) of introduction and native range(s) (in the description extension) and an overview of the consulted literature for each taxon (in the literature references extension). Issues with the dataset can be reported at: https://github.com/trias-project/rinse-pathways-checklist We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/LifeWatchINBO. This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO). It is selected as one of the authoritative sources for the compilation of a unified and reproducible checklist of alien species in Belgium.

The Ad hoc checklist of alien species in Belgium is a species checklist dataset published by the Research Institute of Nature and Forest (INBO). It was specifically created for the TrIAS project (Tracking Invasive Alien Species, http://trias-project.be) to account for gaps in the alien species coverage in other species checklists for Belgium and mainly includes taxonomic groups and newly introduced species not covered elsewhere (yet). Due to its ad hoc nature, the list might change substantially over time. Here it is published as a standardized Darwin Core Archive and includes for each species: the scientific name, higher classification and stable taxon identifier (in the taxon core), the (confidence regarding the) presence of the species in Belgium (and its regions), the date of first introduction and last assessment (in the distribution extension), coarse habitat information (in the species profile extension), the pathway(s) of introduction, native range(s) and invasion stage in Belgium (in the description extension), and an overview of the consulted literature for each taxon (in the literature references extension). Issues with the dataset can be reported at https://github.com/trias-project/ad-hoc-checklist We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be. This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO). It is selected as one of the authoritative sources for the compilation of a unified and reproducible checklist of alien species in Belgium.

The Validated red lists of Flanders, Belgium is a species checklist dataset published by the Research Institute for Nature and Forest (INBO) and described (v1.3) in Maes et al. 2019b (https://doi.org/10.3897/BDJ.7.e34089). It includes 3.063 taxa from 19 Flemish red lists that are considered validated, i.e. which used quantitative criteria and a representative sample of occurrences across all ecological regions in Flanders (Maes et al. 2015) for red list assessment. Here this compilation is published as a standardized Darwin Core Archive and includes for each taxon: the scientific name, higher classification (provided by the GBIF Backbone Taxonomy, https://doi.org/10.15468/39omei), stable taxon identifier and Dutch vernacular name (in the taxon core), the red list category in Flanders as published, its IUCN equivalent and year of assessment (respectively in occurrenceRemarks, threatStatus and eventDate in the distribution extension), and the life-history traits biome, biotope, cuddliness, lifespan, mobility, nutrient level, and spine (in the description extension). Issues with the dataset can be reported at: https://github.com/inbo/rl-flanders-checklist We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be.