The RATO - daily operations commissioned by the Province East Flanders, Belgium dataset is an event dataset published by RATO. The dataset includes data on management actions on invasive alien species and nuisance species, predominantly in the province of East Flanders and from 2021 onwards. Here it is published as a standardized Darwin Core Archive and includes for each occurrence record an occurrenceID, date, location, scientific name, sampling protocol, sampling effort and the number of recorded individuals or biomass. Issues with the dataset can be reported at https://github.com/riparias/rato-occurrences/issues. 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 VMM - Inland water macrophyte occurrences in Flanders, Belgium is a sampling event dataset published by the Flanders Environment Agency (VMM). The dataset originates from the macrophyte monitoring network of the VMM and was developed to meet the requirements of the European Water Framework Directive (WFD). It includes information on more than 4000 sampling events, associated with more than 40 thousand occurrences of inland water macrophytes in Flanders, sampled from 2006 onwards. Here it is published as a standardized Darwin Core Archive and includes for each sampling event: an stable identifier, the sampling location, date and protocol (in the event core), linked to multiple occurrences of macrophytes (in the occurrence core). Sampling events in water bodies are linked to multiple (a)biotic measurements or facts (in the measurement or facts extension). Issues with the dataset can be reported at https://github.com/riparias/vmm-macrophytes-occurrences/issues We have released this dataset to the public domain under a Creative Commons Attribution License. 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.

The Monitoring of invasive alien crayfishes in the Flemish part of the LIFE RIPARIAS areas is an event dataset published by Agency for nature and forests (Flemish government, Belgium). The data are collected from targeted monitoring on ponds within the nature areas managed by the Agency for nature and forests, in the summer of 2022. Only invasive species are presented in this dataset. The data are published as a standardized Darwin Core Archive and includes for each occurrence record an occurrenceID, date, location, quantification and scientific name. Issues with the dataset can be reported at https://github.com/riparias/anb-crayfishes-occurrences/issues We have released this dataset to the public domain under a Creative Commons Attribution License. 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.

Non-native Fish in Flanders, Belgium is a sampling event dataset published by the Research Institute of Nature and Forest (INBO). It is part of the VIS database in which data are collected to monitor the status of fishes and their habitats in Flanders,. This dataset contains fish counts of exotic fish in Flanders. Here, it is published as a standardized Darwin Core Archive and includes for each sampling event an eventID, date, location and sampling protocol (in the event core) and for each occurrence and occurrenceID, the number of recorded individuals, status (present/absent) and scientific name (in the occurrence extension). Issues with the dataset can be reported at https://github.com/inbo/data-publication/issues 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.vlaanderen.be/inbo/en-gb/norms-for-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. For all published VIS datasets occurrences, see https://www.gbif.org/occurrence/search?collection_code=VIS